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drmikewatts · 5 days ago

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IEEE Transactions on Emerging Topics in Computational Intelligence Volume 9, Issue 1, February 2025

1) A Survey of Human-Object Interaction Detection With Deep Learning

Author(s): Geng Han, Jiachen Zhao, Lele Zhang, Fang Deng

Pages: 3 - 26

2) Exploring the Horizons of Meta-Learning in Neural Networks: A Survey of the State-of-the-Art

Author(s): Asit Barman, Swalpa Kumar Roy, Swagatam Das, Paramartha Dutta

Pages: 27 - 42

3) Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer

Author(s): Hu Peng, Zhongtian Luo, Tian Fang, Qingfu Zhang

Pages: 43 - 56

4) MoAR-CNN: Multi-Objective Adversarially Robust Convolutional Neural Network for SAR Image Classification

Author(s): Hai-Nan Wei, Guo-Qiang Zeng, Kang-Di Lu, Guang-Gang Geng, Jian Weng

Pages: 57 - 74

5) Prescribed-Time Optimal Consensus for Switched Stochastic Multiagent Systems: Reinforcement Learning Strategy

Author(s): Weiwei Guang, Xin Wang, Lihua Tan, Jian Sun, Tingwen Huang

Pages: 75 - 86

6) SR-ABR: Super Resolution Integrated ABR Algorithm for Cloud-Based Video Streaming

Author(s): Haiqiao Wu, Dapeng Oliver Wu, Peng Gong

Pages: 87 - 98

7) 3D-IMMC: Incomplete Multi-Modal 3D Shape Clustering via Cross Mapping and Dual Adaptive Fusion

Author(s): Tianyi Qin, Bo Peng, Jianjun Lei, Jiahui Song, Liying Xu, Qingming Huang

Pages: 99 - 108

8) A Co-Evolutionary Dual Niching Differential Evolution Algorithm for Nonlinear Equation Systems Optimization

Author(s): Shuijia Li, Rui Wang, Wenyin Gong, Zuowen Liao, Ling Wang

Pages: 109 - 118

9) A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction

Author(s): Xiaoyong Tang, Juan Zhang, Ronghui Cao, Wenzheng Liu

Pages: 119 - 130

10) A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems

Author(s): Chao Wang, Mengmeng Cao, Hao Jiang, Xiaoshu Xiang, Xingyi Zhang

Pages: 131 - 144

11) A Diversified Population Migration-Based Multiobjective Evolutionary Algorithm for Dynamic Community Detection

Author(s): Lei Zhang, Chaofan Qin, Haipeng Yang, Zishan Xiong, Renzhi Cao, Fan Cheng

Pages: 145 - 159

12) A Hub-Based Self-Organizing Algorithm for Feedforward Small-World Neural Network

Author(s): Wenjing Li, Can Chen, Junfei Qiao

Pages: 160 - 175

13) A New-Type Zeroing Neural Network Model and Its Application in Dynamic Cryptography

Author(s): Jingcan Zhu, Jie Jin, Chaoyang Chen, Lianghong Wu, Ming Lu, Aijia Ouyang

Pages: 176 - 191

14) FeaMix: Feature Mix With Memory Batch Based on Self-Consistency Learning for Code Generation and Code Translation

Author(s): Shuai Zhao, Jie Tian, Jie Fu, Jie Chen, Jinming Wen

Pages: 192 - 201

15) MUSTER: A Multi-Scale Transformer-Based Decoder for Semantic Segmentation

Author(s): Jing Xu, Wentao Shi, Pan Gao, Qizhu Li, Zhengwei Wang

Pages: 202 - 212

16) Feature Selection Using Generalized Multi-Granulation Dominance Neighborhood Rough Set Based on Weight Partition

Author(s): Weihua Xu, Qinyuan Bu

Pages: 213 - 227

17) A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization

Author(s): Hongzong Li, Jun Wang

Pages: 228 - 239

18) Global Cross-Attention Network for Single-Sensor Multispectral Imaging

Author(s): Nianzeng Yuan, Junhuai Li, Bangyong Sun

Pages: 240 - 252

19) OccludedInst: An Efficient Instance Segmentation Network for Automatic Driving Occlusion Scenes

Author(s): Hai Wang, Shilin Zhu, Long Chen, Yicheng Li, Yingfeng Cai

Pages: 253 - 270

20) 3D Skeleton-Based Non-Autoregressive Human Motion Prediction Using Encoder-Decoder Attention-Based Model

Author(s): Mayank Lovanshi, Vivek Tiwari, Rajesh Ingle, Swati Jain

Pages: 271 - 280

21) GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders

Author(s): Esther Rodrigo-Bonet, Nikos Deligiannis

Pages: 281 - 291

22) Neuromorphic Auditory Perception by Neural Spiketrum

Author(s): Huajin Tang, Pengjie Gu, Jayawan Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan, Gang Pan

Pages: 292 - 303

23) Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare

Author(s): Xiaofeng Liu, Zhihong Liu, Jie Li, Xiang Zhang

Pages: 318 - 331

24) Bi-Level Model Management Strategy for Solving Expensive Multi-Objective Optimization Problems

Author(s): Fei Li, Yujie Yang, Yuhao Liu, Yuanchao Liu, Muyun Qian

Pages: 332 - 346

25) Transfer Optimization for Heterogeneous Drone Delivery and Pickup Problem

Author(s): Xupeng Wen, Guohua Wu, Jiao Liu, Yew-Soon Ong

Pages: 347 - 364

26) Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition

Author(s): Chuangquan Chen, Zhencheng Li, Kit Ian Kou, Jie Du, Chen Li, Hongtao Wang, Chi-Man Vong

Pages: 365 - 380

27) Graph Learning With Riemannian Optimization for Multi-View Integrative Clustering

Author(s): Aparajita Khan, Pradipta Maji

Pages: 381 - 393

28) Applying a Higher Number of Output Membership Functions to Enhance the Precision of a Fuzzy System

Author(s): Salah-ud-din Khokhar, Akif Nadeem, Arslan A. Rizvi, Muhammad Yasir Noor

Pages: 394 - 405

29) Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition

Author(s): Fei Qi, Junyu Li, Yue Zhang, Weitian Huang, Bin Hu, Hongmin Cai

Pages: 406 - 418

30) Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models

Author(s): Gavin S. Black, Bhaskar P. Rimal, Varghese Mathew Vaidyan

Pages: 419 - 430

31) Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks

Author(s): Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho

Pages: 431 - 443

32) Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale

Author(s): Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci

Pages: 444 - 454

33) Dual Completion Learning for Incomplete Multi-View Clustering

Author(s): Qiangqiang Shen, Xuanqi Zhang, Shuqin Wang, Yuanman Li, Yongsheng Liang, Yongyong Chen

Pages: 455 - 467

34) Active Learning-Based Backtracking Attack Against Source Location Privacy of Cyber-Physical System

Author(s): Zhen Hong, Minjie Chen, Rui Wang, Mingyuan Yan, Dehua Zheng, Changting Lin, Jie Su, Meng Han

Pages: 468 - 479

35) Hierarchical Encoding Method for Retinal Segmentation Evolutionary Architecture Search

Author(s): Huangxu Sheng, Hai-Lin Liu, Yutao Lai, Shaoda Zeng, Lei Chen

Pages: 480 - 493

36) CycleFusion: Automatic Annotation and Graph-to-Graph Transaction Based Cycle-Consistent Adversarial Network for Infrared and Visible Image Fusion

Author(s): Yueying Luo, Wenbo Liu, Kangjian He, Dan Xu, Hongzhen Shi, Hao Zhang

Pages: 494 - 508

37) Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection

Author(s): Linfei Wang, Yibing Zhan, Xu Lin, Baosheng Yu, Liang Ding, Jianqing Zhu, Dapeng Tao

Pages: 509 - 521

38) Deep Reinforcement Learning-Based Feature Extraction and Encoding for Finger-Vein Verification

Author(s): Yantao Li, Chao Fan, Huafeng Qin, Shaojiang Deng, Mounim A. El-Yacoubi, Gang Zhou

Pages: 522 - 536

39) Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach

Author(s): Mengdan Liang, Junmin Li

Pages: 537 - 551

40) APR-Net Tracker: Attention Pyramidal Residual Network for Visual Object Tracking

Author(s): Bing Liu, Di Yuan, Xiaofang Li

Pages: 552 - 564

41) Symmetric Regularized Sequential Latent Variable Models With Adversarial Neural Networks

Author(s): Jin Huang, Ming Xiao

Pages: 565 - 575

42) StreamSoNGv2: Online Classification of Data Streams Using Growing Neural Gas

Author(s): Jeffrey J. Dale, James M. Keller, Aquila P. A. Galusha

Pages: 576 - 589

43) FCPFS: Fuzzy Granular Ball Clustering-Based Partial Multilabel Feature Selection With Fuzzy Mutual Information

Author(s): Lin Sun, Qifeng Zhang, Weiping Ding, Tianxiang Wang, Jiucheng Xu

Pages: 590 - 606

44) An Automatic Paper-Reviewer Recommendation Algorithm Based on Depth and Breadth

Author(s): Xiulin Zheng, Peipei Li, Xindong Wu

Pages: 607 - 616

45) Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification

Author(s): Jingjing Liu, Manlong Feng, Xianchao Xiu, Wanquan Liu, Xiaoyang Zeng

Pages: 617 - 629

46) Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions

Author(s): Tianxu Wu, Shuo Ye, Shuhuang Chen, Qinmu Peng, Xinge You

Pages: 630 - 640

47) Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction

Author(s): Xin Luo, Gaosheng Liu, Zhi Lu, Kun Li, Jingyu Yang

Pages: 641 - 653

48) Circuit Implementation of Memristive Fuzzy Logic for Blood Pressure Grading Quantification

Author(s): Ya Li, Shaojun Ji, Qinghui Hong

Pages: 654 - 667

49) Learning From Pairwise Confidence Comparisons and Unlabeled Data

Author(s): Junpeng Li, Shuying Huang, Changchun Hua, Yana Yang

Pages: 668 - 680

50) Subspace Sequentially Iterative Leaning for Semi-Supervised SVM

Author(s): Jiajun Wen, Xi Chen, Heng Kong, Junhong Zhang, Zhihui Lai, Linlin Shen

Pages: 681 - 694

51) Clickbait Detection via Prompt-Tuning With Titles Only

Author(s): Ye Wang, Yi Zhu, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu

Pages: 695 - 705

52) TROPE: Triplet-Guided Feature Refinement for Person Re-Identification

Author(s): Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind

Pages: 706 - 716

53) Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem

Author(s): Jiaqiang Jiang, Haohui Ding, Haixia Wang, Rui Yan

Pages: 717 - 728

54) Transfer Learning-Based Region Statistical Data Completion via Double Graphs

Author(s): Shengwen Li, Suzhen Huang, Xuyang Cheng, Renyao Chen, Yi Zhou, Shunping Zhou, Hong Yao, Junfang Gong

Pages: 729 - 739

55) COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport

Author(s): Linhao Zhang, Li Jin, Guangluan Xu, Xiaoyu Li, Xian Sun

Pages: 740 - 756

56) Least Information Spectral GAN With Time-Series Data Augmentation for Industrial IoT

Author(s): Joonho Seon, Seongwoo Lee, Young Ghyu Sun, Soo Hyun Kim, Dong In Kim, Jin Young Kim

Pages: 757 - 769

57) Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios

Author(s): Wensheng Li, Jing Zhang, Li Zhuo

Pages: 770 - 784

58) Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization

Author(s): Lien-Wu Chen, Hao-Wei Huang, Yi-Ju Chen, Ming-Fong Tsai

Pages: 785 - 797

59) Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering

Author(s): Chunming Xiao, Yonghui Huang, Haonan Huang, Qibin Zhao, Guoxu Zhou

Pages: 798 - 809

60) Convert Cross-Domain Classification Into Few-Shot Learning: A Unified Prompt-Tuning Framework for Unsupervised Domain Adaptation

Author(s): Yi Zhu, Hui Shen, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu

Pages: 810 - 821

61) Differentiable Collaborative Patches for Neural Scene Representations

Author(s): Heng Zhang, Lifeng Zhu

Pages: 822 - 831

62) Adaptive Neural Network Optimal Backstepping Control of Strict Feedback Nonlinear Systems via Reinforcement Learning

Author(s): Mei Zhong, Jinde Cao, Heng Liu

Pages: 832 - 847

63) ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models

Author(s): Daohan Yu, Liqing Qiu

Pages: 848 - 860

64) Generative Adversarial Network Based Image-Scaling Attack and Defense Modeling

Author(s): Junjian Li, Honglong Chen, Zhe Li, Anqing Zhang, Xiaomeng Wang, Xingang Wang, Feng Xia

Pages: 861 - 873

65) Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm

Author(s): Yifei Sun, Zhuo Liu, Yaochu Jin, Xin Sun, Yifei Cao, Jie Yang

Pages: 874 - 888

66) Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks

Author(s): Xiaofeng Zou, Cen Chen, Luochuan Zhang, Shengyang Li, Joey Tianyi Zhou, Wei Wei, Kenli Li

Pages: 889 - 903

67) Targeted Mining Precise-Positioning Episode Rules

Author(s): Jian Zhu, Xiaoye Chen, Wensheng Gan, Zefeng Chen, Philip S. Yu

Pages: 904 - 917

68) Two-Stage Deep Feature Selection Method Using Voting Differential Evolution Algorithm for Pneumonia Detection From Chest X-Ray Images

Author(s): Haibin Ouyang, Dongmei Liu, Steven Li, Weiping Ding, Zhi-Hui Zhan

Pages: 918 - 932

69) Learning EEG Motor Characteristics via Temporal-Spatial Representations

Author(s): Tian-Yu Xiang, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Hong-Jun Yang, Zhen-Qiu Feng, Mei-Jiang Gui, Hao Li, De-Xing Huang, Xiu-Ling Liu, Zeng-Guang Hou

Pages: 933 - 945

70) DualC: Drug-Drug Interaction Prediction Based on Dual Latent Feature Extractions

Author(s): Lin Guo, Xiujuan Lei, Lian Liu, Ming Chen, Yi Pan

Pages: 946 - 960

71) ESAI: Efficient Split Artificial Intelligence via Early Exiting Using Neural Architecture Search

Author(s): Behnam Zeinali, Di Zhuang, J. Morris Chang

Pages: 961 - 971

72) Early Time Series Anomaly Prediction With Multi-Objective Optimization

Author(s): Ting-En Chao, Yu Huang, Hao Dai, Gary G. Yen, Vincent S. Tseng

Pages: 972 - 987

73) Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning

Author(s): Ngoc Duy Pham, Khoa T. Phan, Naveen Chilamkurti

Pages: 988 - 1000

74) Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network

Author(s): Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao

Pages: 1001 - 1018

75) Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification

Author(s): Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang

Pages: 1019 - 1033

76) Feature Autonomous Screening and Sequence Integration Network for Medical Image Classification

Author(s): Hongfeng You, Xiaobing Chen, Kun Yu, Guangbo Fu, Fei Mao, Xin Ning, Xiao Bai, Weiwei Cai

Pages: 1034 - 1048

77) FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability

Author(s): Jianfeng Lu, Hangjian Zhang, Pan Zhou, Xiong Wang, Chen Wang, Dapeng Oliver Wu

Pages: 1049 - 1062

78) From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media

Author(s): Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi

Pages: 1063 - 1077

79) Fuzzy Composite Learning Control of Uncertain Fractional-Order Nonlinear Systems Using Disturbance Observer

Author(s): Zhiye Bai, Shenggang Li, Heng Liu

Pages: 1078 - 1090

#ai #artificial intelligence

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sportsgr8 · 1 year ago

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Uno Refreshes Season Best In Figure Skating Short Program At Cup Of China

Figure Skating Series Cup: Reigning world champion Shoma Uno set a new season best score for the men's short program as the ISU Grand Prix of Figure Skating Series Cup of China got underway here.Skating to "Love You Kung Fu" and "Clair de Lune", the Japanese talent, who turns 26 years old next month, hit his trademark quad flip, a quad toe-triple toe combination, and a triple Axel, which was credited for "highlight distribution", to score 105.25 points. He also earned a level four for his spins and a level three for the footwork, reports Xinhua. The previous men's short program best score of the 2023-2024 season was held by US teenage sensation Ilia Malinin, who scored 104.06 points on October 20 at the season-opening Skate America. "I did a good job with the jumps today and the whole package," Uno commented at a post-competition press conference. "At this competition, I don't think about the result or the points, I just want to show my program," he added. European champion Adam Siao Him Fa came second to Uno's strong lead, trailing by 14 points. Kazakhstan's Mikhail Shaidorov stood third further 1.27 points back. Local favorite Jin Boyang, a two-time world bronze medalist, placed fourth with a personal season best of 87.44, beating Italian Gabriele Frangipani and Japanese Kazuki Tomono to the fifth and sixth respectively. Skate Canada champion Sota Yamamoto of Japan only ranked in eighth with errors on his jumps. The ISU senior's GP newcomers, Xu Juwen and Dai Dawei of China, sat on 10th and 11th with scores of 65.57 and 64.25 respectively. World bronze medalist Loena Hendrickx of Belgium led the women's short program with 70.65 points, despite an unsuccessful Axel. Japan's Rinka Watanabe and Hana Yoshida followed in second and third. Niina Petrokina of Estonia was close to the podium in fourth place at 62.58 points, while China's Chen Hongyi and An Xiangyi, another Chinese debutant to the senior figure skating, came fifth and sixth on 62.57 and 61.86 points. Skate Canada champions Deanna Stellato-Dudek and Maxime Deschamps of Canada and European silver medalists Rebecca Ghilardi and Filippo Ambrosini of Italy finished 1-2 in the pairs short program on 70.39 and 66.33, and China's three-time Olympian Peng Cheng and her new partner Wang Lei rounded out the podium with a score of 62.91. Skate America champions Annika Hocke/Robert Kunkel of Germany came fourth, while the other two Chinese pairs, Zhang Siyang/Yang Yongchao and Wang Yuchen Zhu Lei finished fifth and seventh on 58.71 and 49.95 respectively. In the ice dance event, Skate America silver medalists Majorie Lajoie and Zachary Lagha from Canada led the rankings temporarily after rhythm dance, claiming 82.02 points to edge two-time world bronze medalists and compatriots Piper Gilles and Paul Poirier to second place by just 0.98 points. American pair Caroline Green/Michael Parsons, the 2022 Four Continents champions, came out a distant third with 76.07 points. China's youngsters, Chen Xizi/Xing Jailing and Shi Shang/Wu Nan, finished the rhythm dance as the bottom two among nine pairs, after the Olympian pair Wang Shiyue and Liu Xinyu withdrew from the event due to Liu's injury. The Cup of China, the fourth of six events of the ISU Grand Prix Series in which the world's best figure skaters collect points towards the 2023-2024 GP Final in Beijing on December 7-10, continues here on Saturday with the free dance and free programs of men's, women's and pairs figure skates. Read the full article

#AdamSiaoHimFa #FigureSkatingSeriesCup #IliaMalinin #ISUGrandPrix #ItalianGabrieleFrangipani #JapaneseKazukiTomono #JinBoyang #LoveYouKungFu #MikhailShaidorov #ShomaUno #SkateAmerica #SkateCanada #SotaYamamoto #TheISU #XuJuwen

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444namesplus · 1 year ago

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A Abu Ae Agin Ama An Anazhe Ane Ang Angien Angiung Angsa Angtsizhe Anozhe Anquing Apo Aquang Aquiun Areng Azhe Azheia Azheiazhe Azheizhe Azhian Ban Basien Begiu Bengchie Bi Bian Biania Biazheing Biesu Biu Biubi Biung Bon Bonglu Botsiezhe Bozhe Bunga Chan Chehung Cheng Chia Chiakiu Chiazhe Chie Chiezhe Chiezheson Chinizhe Chiuzhelu Chizheen Chon Dae Dafen Dajieng Dang Dangiung Dazhe Dia Dianezhe Die Dienin Diezheyiung Ding Dipa Diung Diunkie Doman Du Dungia Dungiu Duniezhe Duzhefang E Eang Ebia Ebin Edon Ei Eian Eiang Eie Emi En Eng Enghen Engkiuzhe Enizhe Eo Equo Eviuzhe Ezhe Ezheiu Ezheiung Ezhepu Fa Feja Fia Fiang Fiangiezhe Fianku Fiazhe Fiazhetsezhe Fie Fiezhe Fiuvian Fizhequezhe Fizheu Fogu Fon Fu Fui Fungmung Ga Gaun Gen Gezhe Gi Gia Giazhe Gienlo Gifi Giniu Giufiung Guon Haian Han Hazhesa He Heli Hengezhe Hengi Hianhe Hiarun Hien Hifo Hiiezhe Hin Hiu Hiuvu Hivieng Hoiu Hu I Ia Iabeng Iachiang Iaia Iaie Iaieng Iain Ian Iane Iang Ianghian Iangia Iangozhe Ianlie Iaon Iaong Iapu Iaran Iaung Iaxiazhe Iazhe Iazhefa Iazheiu Ichia Ie Iei Ieie Ieiezhe Ielo Ien Ieng Ienge Iengia Iengna Iengpian Iengquong Iengung Ienie Ienni Ieno Ienti Ienzha Ieo Ieving Iezhe Iezheeng Iezhei Iezhejing Iezheon Iezhero Iezheu Iezhexien Iiung Ilezhe In Indin Ing Ingazhe Ingchiun Ingdu Ingiung Ingiuzhe Ingquia Ingquie Ingzhiun Iniung Inung Iu Iuia Iuiazhe Iuiung Iun Iuna Iunbing Iung Iunga Iungie Iungiuzhe Iungja Iungong Iungozhe Iuni Iuning Iunma Iunquin Iuntsu Iunu Iusan Iutu Iuu Iuuzhe Iuzhe Iuzhei Iuzhein Iuzheozhe Izhe Izhei Izheiun Izheiung Izheiuzhe Ja Jacha Jangie Jeiun Jeong Jezhezhia Jiang Jiazhea Jie Jiiazhe Jini Jiun Jiuun Jo Jozheie Ju Juung Kageng Kang Kazhiung Kegeng Ken Kenieng Kenlong Keveng Kia Kiamie Kian Kiang Kianu Kiu Kiua Konge Koo Kozhe Kun Kuzhedu Lai Laru Len Lensong Lia Liaie Liaiun Lien Lieng Liuieng Liuzhevong Lizhepiu Lo Long Longia Lozhegiun Lozhehizhe Luzhe Meien Mepia Mia Miaia Miaie Miaiuzhe Miang Miazhe Min Ming Mingia Miuzhe Mo Mong Monie Mutsa Ne Nengkieng Neyu Nezhea Ni Nia Niayiu Niie Ninozhe Nisung Niu Nizhe No Nonguzhe Nonmiung Nozhe Nu O Obiezhe Ochazhe Oezhe Oizhe On Ong Ongdazhe Ongfia Oozhe Open Otan Ozhe Ozheang Ozhefa Ozheon Ozheu Ozhezhia Pa Peng Pesiuzhe Pi Pianie Pidiung Pie Piuzhevu Po Poe Poing Pugiezhe Puiun Pungi Pungpang Puzhe Quan Quangkien Quazhe Quen Quengi Quenyozhe Quiangyiuzhe Quie Quimung Quiung Quiungquiun Quono Quuzheviung Ra Rajang Reu Ria Rie Riengquu Riezhe Riu Ro Rotso Sazhe Se Seia Sezheia Si Sia Siaon Sieng Siengo Sin Sinin Siu Siuzhegie So Sochia Sonong Su Ta Teon Tiechian Tiei Tieie Tiein Tiezhe Tique Tiuzheruzhe Toe Toing Tsa Tsangang Tseia Tsia Tsiaang Tsianiazhe Tsianie Tsieu Tsirozhe Tsiunbe Tsiuong Tsiuzhe Tso Tsongye Tsuu Tsuzhe Tu U Ua Ue Uen Uia Unezhe Ung Unian Uniazhe Uo Usi Usu Uu Uzhe Uzhee Uzheie Uzheien Uzheo Uzhepazhe Uzhozhe Uzhu Va Vaiuzhe Vazheuzhe Vezhefie Vi Viangong Viangpian Viazhemi Viea Vien Vin Viun Viungxiang Viunrian Viunsiuzhe Viutuzhe Vozhexii Vun Vung Vusieng Xiayuzhe Xie Xiesiun Xiian Xiianju Xiiazhemen Xiie Xiin Xio Xiono Xiu Yan Yi Yia Yie Yieng Yieni Yin Yiuxia Yiuzhe Yizhe Yizhefu Yonu Yozhexiing Yozheyia Yuie Yuzheia Zhazhezhe Zhezhequo Zhiangi Zhiazhe Zhie Zhien Zhiengeng Zhiengieng Zhin Zhiu Zho Zhong Zhuli Zhun Zhung

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solariconsblog · 4 years ago

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𝐇𝐈𝐒𝐭𝐨𝐫𝐲𝟒-𝐂𝐥𝐨𝐬𝐞 𝐓𝐨 𝐘𝐨𝐮 𝐰𝐚𝐥𝐥𝐩𝐚𝐩𝐞𝐫𝐬

𝘱𝘭𝘦𝘢𝘴𝘦, 𝘥𝘰𝘯’𝘵 𝘳𝘦𝘱𝘰𝘴𝘵!

🄿🄻🄴🄰🅂🄴 🄻🄸🄺🄴 🄸🅃 🄸🄵 🅈🄾🅄 🅂🄰🅅🄴

#my post #my edit #wallpapers #lockscreens #bl love #boys love #bl wallpaper #bl lockscreen #HIStory4-近距離愛上你 #history 4 close to you #lin chia wei #fu yong jie #an jun peng #ye xing si #teng mu ren #xiao li cheng #charles tu #anson chen

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gravitydefyingtears · 3 years ago

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Audio Drama: 天官赐福 | Tian Guan Ci Fu | Heaven Official’s Blessing

It’s coming!!!

You might recognize most of the production team as the people who worked on the MDZS audio drama, so I’m very assured that they will only have grown more experienced. Tbh I’m a little surprised by the lead VAs...excited to hear what their performances will be like!

Even more exciting: apparently the audio drama has been adapted from the revised edition of TGCF which includes 100k extra words!!!

Below is a quick translation of the season one details.

S1 Details

Link: www.missevan.com/mdrama/52400

Length: 19 episodes

Airing Schedule: Fridays, beginning July 15, 2022

Cost: 319 diamonds. For two months starting from July 15, this drama will be free to listen. Regular paid listening will resume on September 16.

Production Team

Original Novel: MXTX

Planning/Executive Producer: Kuo Hao Jun 括号君

Scriptwriter: Liu Yin 六音

Post-Production: Xin Tong 新桐

Assistants: Er Ji 二吉 , Yu Chen 鱼宸

Original BGM: Li Da Bai 李大白

Instrumental Recording: International Master Philharmonic Orchestra 国际首席爱乐乐团 IMPO

Art/Video: ARThorizon 绘享视界

Voice Team

Voice Acting Team: Jing Yun Kai Ge 鲸韵凯歌

Voice Director: Zhang Kai 张凯

Recording Engineers: Liu Yaxue 刘雅雪, Li Mian 李冕, Jiang Cong 姜聪

... ... ...

Narrator: Zhang Yaohan 张遥函

Xie Lian: Su Shangqing 苏尚卿@西呱双

Hua Cheng: Chenzhang Taikang 陈张太康

Fu Yao/Mu Qing: Liu Sicen 刘思岑

Feng Xin/Nan Feng: Guo Haoran 郭浩然

Ling Wen: Ji Guanlin 季冠霖

Ming Yi: Peng Yao (San Tu Bi An) 彭尧@彭尧-三途彼岸

Pei Ming: Chen Guang (Chen Jiaheng) 陈光@陈光家恒

Pei Xiu: Wu Tao (Dao Mei Si Le) 吴韬 @倒霉死勒

Jun Wu: Chen Hao 陈浩

Ban Yue: Shan Xin 山新

Lang Qianqiu: Li Xin 李昕

Ke Mo: Tute Hameng 图特哈蒙

Xuan Ji: Qiu Qiu 邱邱

Shi Qingxuan: Qian Wenqing 钱文青

Other Participating Voice Actors: Cai Jie (蔡杰@CJCDD-), Li Wangsong (李望松@摩羯-阿松松松松), Shao Chenliang (邵晨亮@c位不出道), Zhang Zhen/Lin Feng (张振@在下林风), Liu Zheng (刘峥@斗珂), Zhang Jiaqi (张加麒@张如麟), Liu Yiming (刘一鸣@痞人姓刘), Xu Kai (许凯@山己几X), Li Jiaxiang (李嘉祥@优叉UX), Lin Boqing (林柏青@詹永兵的好朋友), Li Haojia (李昊甲@最后的都灵人), Li Jiasi (李佳思@光的岸面), Li Yemeng (李叶萌@肆鸢), Yu Minglu (于鸣鹿@火不土), Su La (苏拉@亲爱的苏), Zhang Yuwei (张宇微@夕棠-就是喜糖啊), Xie Ziwei (谢子溦@Viona嘴嘴), Liu Yuanyuan (刘媛媛@画大染), Gao Yixue (高一雪@思凡吧喳嘿), Yu Mengci (余梦慈@晶玉瑪瑙)

#tgcf #tgcf audio drama #tian guan ci fu #heaven official's blessing #radish translations

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drwcn · 4 years ago

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How To Name Your Chinese Characters:

1) LAST NAMES:

I’ve pasted the Top 100 common last names in alphabetical order, and bolded the ones that appear in CQL:

B: 白 Bai C: 蔡 Cai ; 曹 Cao ; 常 Chang ; 曾 Ceng ; 陈 Chen ; 程 Cheng ; 崔 Cui ; D: 戴 Dai ; 邓 Deng ; 丁 Ding ; 董 Dong ; 杜 Du ; F: 范 Fan ; 方 Fang ; 冯 Feng ; 付 Fu ; G: 高 Gao ; 葛 Ge ; 龚 Gong ; 顾 Gu ; 郭 Guo ; H: 韩 Han ; 何 He ; 贺 He 洪 Hong ; 侯 Hou ; 黄 Hua ; 胡 Hu ; J: 贾 Jia ; 蒋 Jiang ; 姜 Jiang ; 江 Jiang ; 金 Jin ; K: 康 Kang ; L: 赖 Lai ; 李 Li ; 黎 Li ; 廖 Liao ; 梁 Liang ; 林 Lin ; 刘 Liu ; 陆 Lu ; 卢 Lu ; 路 Lu ; 吕 Lü ; 罗 Luo ; M: 马 Ma ; 麦 Mai ; 毛 Mao ; 孟 Meng ; N: 倪 Ni ; 牛 Niu ; P: 潘 Pan ; 彭 Peng ; Q: 钱 Qian ; 秦 Qin ; 邱 Qiu ; R:任 Ren ; S: 邵 Shao ; 沈 Sheng ; 史 Shi ; 石 Shi ; 施 Shi ; 宋 Song ; 苏 Su ; 孙 Sun ; T: 陶 Tao ; 谭 Tan ; 唐 Tang ; 田 Tian ; W: 万 Wan ; 王 Wang ; 汪 Wang ; 魏 Wei ; 吴 Wu ; X: 邢 Xing ; 夏 Xia ; 蕭 Xiao ; 谢 Xie ; 徐 Xu ; 许 Xu ; 薛 Xue ; Y: 阎 Yan ; 严 Yan ; 杨 Yang ; 姚 Yao ; 叶 Ye ; 余 Yu ; 于 Yu ; 袁 Yuan ; Z: 张 Zhang ; 赵 Zhao ; 郑 Zheng ; 钟 Zhong ; 周 Zhou ; 朱 Zhu ; 庄 Zhuang ; 邹 Zou ;

Above are all single character last names, but there are some double character Chinese last names, seen below (list not exhaustive):

独孤 Du’Gu ; 公孙 Gong’Sun ; 南宫 Nan’Gong 欧阳 Ou’Yang ; 司马 Si’Ma ; 上官 Shang’Guan ; 宇文 Yu’Wen ; 长孙 Zhang’Sun ; 诸葛 Zhu’GE ;

2) GIVEN NAMES/COURTESY NAMES

《Elements》:

Light*：光 (guāng) - light，亮 liàng - bright / shine，明 (míng) - bright，曦 (xī) - early dawn，昀 (yún) - daylight，昭 (zhāo) - light, clear，照 (zhào) - to shine upon，

Fire: 焰 (yàn) - flames，烟 (yān) - smoke，炎 (yán) - heat/burn，烨 (yè) - dazzling light，

Water: also see “weather” OR “bodies of water” under nature; note the words below while are related to water have meanings that mean some kind of virtue: 清 (qīng) - clarity / purity，澄 (chéng) - clarity/quiet，澈 (chè) - clear/penetrating，涟 (lián) - ripple，漪 (yī) - ripple，泓 (hóng) - vast water，湛 (zhàn) - clear/crystal，露 (lù) - dew，泠 (líng) - cool, cold, 涛 (tāo) - big wave，泽 (zé)，浩 hào - grand/vast (water)，涵 (han) - deep submergence / tolerance / educated

Weather: 雨 (yǔ) - rain，霖 (lín) - downpouring rain，冰 (bīng) - ice，雪 (xuě) - snow，霜 (shuāng) - frost

Wind: 风 (fēng) - wind

* some “Light” words overlap in meaning with words that mean “sun/day”

《Nature》:

Season: 春 (chūn) - spring，夏 (xià) - summer，秋 (qíu) - aumtum，冬 (dōng) - winter

Time of Day: 朝 (zhāo) - early morning / toward，晨 (chén) - morning / dawn，晓 (xiǎo) - morning，旭 (xù) - dawn/rising sun，昼 (zhòu) - day，皖 (wǎn) - late evening，夜 (yè) - night

Star/Sky/Space: 云 (yún) - cloud，天 (tiān) - sky/ heaven，霞 (xiá) - afterglow of a rising or setting sun，月 (yuè) - moon，日 (ri) - day / sun，阳 (yáng) - sun，宇 (yǔ) - space，星 (xīng) - star

Birds: 燕 (yàn) - sparrow，雁 (yàn) - loon，莺 (yīng) - oriole，鸢 (yuān) - kite bird (family Accipitridae)，羽 (yǔ) - feather

Creatures: 龙 (lóng) - dragon/imperial

Plants/Flowers:* 兰 (lán) - orchids，竹 (zhú) - bamboo，筠 (yún) - tough exterior of bamboos，萱 (xuān) - day-lily，松 (sōng) - pine，叶 (yè) - leaf，枫 (fēng) - maple，柏 bó/bǎi - cedar/cypress，梅 (méi) - plum，丹 (dān) - peony

Mountains: 山 (shān)，峰 (fēng) - summit，峥 (zhēng)，

Bodies of water: 江 (jiāng) - large river/straits，河 (hé) - river，湖 (hú) - lake，海 (hǎi) - sea，溪 (xī) - stream，池 (chí) - pond，潭 (tán) - larger pond，洋 (yáng) - ocean

* I didn’t include a lot of flower names because it’s very easy to name a character with flowers that heavily implies she’s a prostitute.

《Virtues》:

Astuteness: 睿 ruì - astute / foresight，智 (zhi)，慧 (hui)，哲 (zhé) - wise/philosophy,

Educated: 博 (bó) - extensively educated，墨 (mo) - ink，诗 (shi) - poetry / literature，文 (wén) - language / gentle / literary，学 (xue) - study，彦 (yàn) - accomplished / knowledgeable, 知 (zhi) - to know，斌 (bīn) - refined，赋 (fù) - to be endowed with knowledge

Loyalty: 忠 (zhōng) - loyal，真 (zhēn) - true

Bravery: 勇 (yǒng) - brave，杰 (jié) - outstanding, hero

Determination/Perseverance: 毅 (yì) - resolute / brave，恒 (héng) - everlasting，衡 (héng) - across, to judge/evaluate，成 (chéng) - to succeed，志 (zhì) - aspiration / the will

Goodness/Kindness: 嘉 (jiā) - excellent / auspicious，磊 (lěi) - rock / open & honest，正 (zhèng) - straight / upright / principle，

Elegance: 雅 (yǎ) - elegant，庄 (zhuāng) - respectful/formal/solemn，彬 (bīn) - refined / polite，

Handsome: 俊 jùn - handsome/talented

Peace: 宁 (níng) - quietness/to pacify, 安（ān) - peace, safety

Grandness/Excellence：宏 (hóng) - grand，豪 (háo) - grand, heroic，昊 (hào) - limitless / the vast sky，华 (huá) - magnificent，赫 (hè) - red/famous/great，隆 (lóng) - magnificent，伟 (wěi) - greatness / large，轩 (xuān) - pavilion with a view/high，卓 (zhuó) - outstanding

Female Descriptor/Virtues/Beauty: 婉 (wǎn)，惠 (huì)，妮 (nī)，娇 (jiāo)，娥 (é)，婵 (chán) (I didn’t include specific translations for these because they’re all adjectives for women meaning beauty or virtue)

《Descriptors》:

Adverbs: 如 (rú) - as，若 (ruò) - as, alike，宛 (wǎn) - like / as though，

Verbs: 飞 (fēi) - to fly，顾（gù) - to think/consider，怀 (huái) - to miss, to possess，落(luò) - to fall, to leave behind，梦 (mèng) - to dream，思 (sī) - to consider / to miss (someone)，忆 (yì) - memory，希 (xī) - yearn / admire

Colours: 红 (hóng) - red，赤 (chì) - crimson，黄 (huàng) - yellow，碧 (bì) - green，青(qīng) - azure，蓝 (lán) - blue，紫 (zǐ) - violet ，玄 (xuán) - black，白 (baí) - white

Number：一 (yī), 二 (er) - two, 三 (san) - three, 四 (si) - four, 五 (wu) - five, 六 (liu) - six, 七(qi) - seven, 八 (ba) - eight, 九 (jiu) - nine, 十 (shi) - ten

Direction: 东 (dōng) - east，西 (xi) - west，南 (nan) - south，北 (bei) - north，

Other: 子 (zǐ) - child, 然 (rán) - correct / thusly

《Jade》: *there are SO MANY words that generally mean some kind of jade, bc when ppl put jade in their children’s name they don’t literally mean the rock, it’s used to symbolize purity, goodness, kindness, beauty, virtue etc* 琛 (chen), 瑶 (yao), 玥 (yue), 琪 (qi), 琳 (lin)

《Spirituality》

凡 (fan) - mortality

色 (se) - colour, beauty. In buddhism, “se” symbolizes everything secular

了 (liao) - finished, done, letting go

尘 (chen) - dust, I’m not… versed in buddhism enough to explain “chen”, it’s similar to “se”

悟 (wu) - knowing? Cognition? To understand a higher meaning

无 (wu) - nothing, the void, also part of like “letting go”

戒 (jie) - to “quit”, but not in a bad way. In buddhism, monks are supposed to “quit” their earthly desires.

极 (ji) - greatness, also related to the state of nirvana (? I think?)

#cql #the untamed #because i have gotten many many many asks about how to name characters #language #master list

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eyenaku · 2 years ago

Note

Ji ji fu ji ji

a o e i i er ai ei ao ou an en ang eng ong i ia iao ie iu ian in iang ing iong u ua uo uai ui uan un uang ueng ü üe üan ün a o e er ai ao ou an en ang eng yi ya yao ye you yan yin yang ying yong wu wa wo wai wei wan wen wang weng yu yue yuan yun b ba bo bai bei bao ban ben bang beng bi biao bie bian bin bing bu p pa po pai pei pao pou pan pen pang peng pi piao pie pian pin ping pu m ma mo me mai mei mao mou man men mang meng mi miao mie miu mian min ming mu f fa fo fei fou fan fen fang feng fu d da de dai dei dao dou dan den dang deng dong di diao die diu dian ding du duo dui duan dun t ta te tai tei tao tou tan tang teng tong ti tiao tie tian ting tu tuo tui tuan tun n na ne nai nei nao nou nan nen nang neng nong ni niao nie niu nian nin niang ning nu nuo nuan nü nüe l la le lai lei lao lou lan lang leng long li lia liao lie liu lian lin liang ling lu luo luan lun lü lüe g ga ge gai gei gao gou gan gen gang geng gong gu gua guo guai gui guan gun guang k ka ke kai kei kao kou kan ken kang keng kong ku kua kuo kuai kui kuan kun kuang h ha he hai hei hao hou han hen hang heng hong hu hua huo huai hui huan hun huang z za ze zi zai zei zao zou zan zen zang zeng zong zu zuo zui zuan zun c ca ce ci cai cao cou can cen cang ceng cong cu cuo cui cuan cun s sa se si sai sao sou san sen sang seng song su suo sui suan sun zh zha zhe zhi zhai zhei zhao zhou zhan zhen zhang zheng zhong zhu zhua zhuo zhuai zhui zhuan zhun zhuang ch cha che chi chai chao chou chan chen chang cheng chong chu chua chuo chuai chui chuan chun chuang sh sha she shi shai shei shao shou shan shen shang sheng shu shua shuo shuai shui shuan shun shuang r re ri rao rou ran ren rang reng rong ru rua ruo rui ruan run j ji jia jiao jie jiu jian jin jiang jing jiong ju jue juan jun q qi qia qiao qie qiu qian qin qiang qing qiong qu que quan qun x xi xia xiao xie xiu xian xin xiang xing xiong xu xue xuan xun

#‼️mutual #get tone-d

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kdram-chjh · 2 years ago

Photo

Cdrama: Ye Cheng (2023)

Gifs of Ending of cdrama “Ye Cheng”

【ENG SUB】夜城赋 01 | Ye Cheng 💕 纨绔女世子遇上绝美男花魁，相爱相杀开启复仇路 | 袁昊/嘉泽/李哲豪/彭雅琦/孙熹之/书亚信/徐百慧/张彤 | 优优青春剧场

Watch this video on Youtube: https://www.youtube.com/watch?v=ket6-QAt3G8´

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edendaphne · 4 years ago

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“Discordant Sonata” Chapter 21

>>Click here to read on Ao3<<

>>Click here to read on Wattpad<<

–––––

CHAPTER 21: IMPROVVISANDO

Music glossary: Improvvisando: with improvisation

Glossary: Wǎnshàng hǎo : Good evening Shīfù : Teacher/Master

(Mood music: Night of Beijing - Jia Peng Fang)

That evening

Marinette fidgeted with her napkin, occasionally sipping her now-lukewarm tea while sitting at the kitchen bar counter. Chat Noir sat on the stool beside her in silence, also nursing a half-emptied cup. She checked the clock for what seemed to be the hundredth time in the last few minutes.

“It’s about that time. I’ll head up to my room to let Ladybug inside. Will you get the door if your visitor arrives before she does?”

“Sure,” he replied, uneasy but compliant, doing his best to avoid staring at the black eye she’d received earlier that day.

Marinette set her cup in the sink and headed upstairs, leaving Chat alone with his thoughts.

He tried to keep his fast-beating heart in check, subconsciously clenching his jaw. It was finally happening. He was going to meet “him”: The Guardian of the Miraculous.

Following the events at school earlier that day, Adrien had walked Marinette to her house, where her family invited him to stay for a cup of tea until his “ride” arrived to pick him up. Of course, he’d eagerly accepted. It was nice to interact with the family as Adrien instead of just as Chat Noir.

After leaving, he hid away and transformed so he could sneak in through Marinette’s balcony as he usually did.

Upon transforming, however, he found a series of voice mails from Ladybug that she’d left during Adrien’s attempted abduction. Her voice was frantic. He could hear the urgency and distress in her tone, and a heavy blanket of guilt settled onto his shoulders as he listened.

The first message asked him to come to their school, that it was an emergency, to please call her back as soon as possible. He chewed on his lip, wanting nothing more than to hide away in a cave in shame.

The second one must have been left right after she’d rescued Adrien and left him at the school nurse; she’d called to let Chat know the incident had passed. Then she asked if he was okay, since she hadn’t heard back from him. He sighed. Typical Ladybug, always worrying and thinking about others first, even when she was having a rough time.

The last voicemail caused a trail of ice to trickle down his spine as he listened. Ladybug informed him that she had scheduled an impromptu meeting with the Guardian at the Dupain-Cheng’s house that evening, with Marinette’s permission, and that it was of utmost importance that he attend.

He shivered as goosebumps appeared on his arms and he swallowed hard. What was the purpose of this meeting? Was he in trouble for not showing up today during ‘Adrien’s’ kidnapping? And why meet here, at the Dupain home, instead of somewhere more private and away from civilians? What was the Guardian like? Would Chat get reprimanded and treated with disdain for having been their enemy for all these years, or would he be understanding and forgiving?

More importantly, would he have to disclose his identity to him, or to both him and Ladybug, to prove his loyalty? He winced at the mere thought of it. The last thing he wanted was for Ladybug to think less of him, or to pity him. Especially after the kidnapping attempt.

Additionally, if they were to learn that Hawkmoth was Gabriel Agreste, would they want to confront him head-on? Adrien didn’t feel ready for that, for several reasons.

First of all, would he be able to protect Ladybug, as he’d promised her? Hawkmoth had shown that he’d developed some sort of new power. Either that, or an entirely different person had become involved and was helping him. In any case, he didn’t know what exactly they were dealing with anymore.

Secondly, if the time came and he had to hurt or even kill his father, he didn’t know if he’d be able to do it. Yes, Gabriel was a monster and Adrien despised what he had become. But what if the damage was reversible and there was still a way to bring him back to normal? He just had to know, before doing something he might permanently regret.

The sudden ringing of the doorbell startled Chat out of his thoughts and he practically fell off his seat.

He ran to answer the front door, looking to make sure no one else was around. At the last second, he remembered to detransform and slip on the hood of his zip-up sweater (the one Marinette had gifted him), pulling a scarf over his nose and mouth so he wouldn’t be recognized if anyone outside were to catch a glimpse of him.

He looked out through the peephole, only to see the very top of someone’s head, balding with grey hair, and a little bit of their eyebrows.

Huh. Somehow Adrien thought the Guardian would be a bit… taller?

He turned the knob and the door opened, its squeaking hinges somehow louder than usual. Peeking out from the side like a scared tortoise, he checked to make sure the individual matched the description he was given, then stepped back to allow the door to swing open all the way. The older man stepped inside, closing it behind him.

“Hello,” Adrien said meekly, bowing his head slightly. “You must be…”

“Yes. I am Wang Fu,” he replied, bowing politely in greeting. “It is very good to see you again, Adrien Agreste.”

While Adrien’s face scarf efficiently concealed the way his jaw dropped when the elder man called him by name, there was no hiding the way his eyes grew to the size of dinner plates.

“W- what?!” he sputtered. “How did you—”

The man called Fu chuckled, stroking his beard. “It was a long time ago, but we’ve met before.”

Adrien lowered his scarf and frowned in concentration, falling silent for a few seconds. Then it dawned on him.

“YOU!!” he gaped. “I do remember you! It was my first day of lycée! You fell down in front of our school and I helped you up. It was you who put the cat miraculous in my bag that day, wasn’t it?”

“That is correct,” Fu confirmed.

“But why me? You could’ve picked anyone, so why did you choose someone like me?”

Fu’s smile faltered when he said this. Adrien had said “anyone”, but he could see that Fu knew what he’d actually meant. Why did you choose someone as broken as me?

The man folded his arms behind him, considering his answer. “Guardians are bestowed with several powers and abilities. One of them is to locate and select good candidates for the miraculous jewels. And so I was led to you.”

Chat grimaced in confusion. “So if you already knew it was me, why bother to ‘test’ me?”

“My powers as a guardian may lead me to a potential candidate, but ultimately the choice is still mine to make. It was a simple test, but it showed me what your first instinct would be if you saw someone in need. The answer I received was satisfactory. You were meant to be Ladybug’s Chat Noir.”

Adrien sighed, running a shaky hand through his hair. “Honestly, a couple of months ago I wouldn’t have known whether to hug you because I got to become Chat Noir, or whether to punch you because I had to become Chat Noir. But it’s because of you that I got to meet Ladybug, so I am grateful to you for that. It’s good to finally meet you. Officially.”

He extended his hand and Fu took it with a smile, giving it a firm shake.

Afterwards, Adrien’s gaze fell, brows scrunching together. “I can’t believe it. All this time, you knew. You could’ve told Ladybug who I was years ago. She could have figured out a way to take away my miraculous while I wasn’t transformed, like at school, and she would’ve had one less enemy to deal with. It would’ve––” he pursed his lips, expression full of shame, and he lifted his eyes to meet Fu’s once again, “–it would’ve made it easier for her. She would’ve suffered less if I’d been out of the picture. So why didn’t you?”

Fu’s countenance became somber, his eyes carrying years of pain and regret. He took a few moments to consider his words. “When I was a boy, barely a teenager, something terrible happened. Hundreds of innocent people died, and it was all because of me.”

Chat almost reeled back as if he’d been smacked across the face, puzzled about the sudden switch in topic. He remembered Ladybug briefly mentioning this a few months ago, on the night they danced together. He waited for Fu to elaborate.

“I was only trying to protect them,” the older man explained. “After I was orphaned as a child, the monks of the Guardian Temple took me in. They became my family. They were stern, but fair and kind. It was a tough childhood, but I was happy.” He sighed. “However, there were those who would try to steal the miraculous and use their power selfishly. It was an endless struggle. Many were lost over the years. I longed for peace. I wanted my family to be safe, I wanted us to be left alone. So I did what I thought would be a better route, an easier one; one with less hardship and bloodshed. You see, one day while I was supposed to be on guard duty, I sneaked away to where the miraculous box was kept. I put on both the ladybug and cat miraculouses and used them to make a wish: I wished that our enemies would disappear.”

The older man exhaled, squeezing his eyes shut, the memories of what came next clearly still haunting him. Adrien couldn’t help but hold his breath while he listened.

“It worked,” Fu resumed, voice quiet and slightly shaky. “But as you might have suspected, there is always a price to pay; a balance that must be maintained. Therefore, because of my wish, all the monks in our Guardian temple and the innocent people of the surrounding village were ripped away from me, along with our enemies. The wish was technically fulfilled, but I never suspected that the cost would be that high. I have had to live with that in my conscience for over a hundred years.”

He clasped his hands behind his back, appearing more vulnerable than Adrien would have ever expected. He continued, “Since that time, I have both seen and caused much death in my lifetime, protecting the miraculous box alone as the last Guardian. So, you see, if there was even one person I could save, I had to try. I wanted to trust in the miraculouses, like I should have decades ago, during my misguided attempt to control the outcome of a complicated situation.”

Adrien absently rubbed his arm, pondering Fu’s words. “Looking back,” he began, “I can see the reasoning behind a lot of Ladybug’s decisions and principles, now that I know your story.”

“Indeed. Ladybug is a remarkable young lady; I knew that even back then. When I would ask her if she was willing to risk her life for the sake of a stranger, she would say yes, every single time. If anyone can persevere for the greater good, it was her. Was it unfair of me? Probably. Have I asked too much from her? Absolutely. Have I made mistakes while trying to guide her? Yes. Many of them.” He put his hand on Adrien’s shoulder. “I wanted to save you that day by giving you the cat miraculous. But I never would have guessed that it would also doom you and force you into a role of servitude. I hope that you will forgive me for this.”

Adrien’s heart pained for Fu as he admitted his guilt. “You couldn’t have known it would’ve turned out that way. It wasn’t your fault,” he insisted.

Fu shrugged. “I try to tell myself that, but I can’t quite convince myself. The situation made sense once Ladybug told me about Hawkmoth.”

“You mean, when she told you that Hawkmoth was my father?” Adrien asked.

“Yes,” Fu replied. “I had my suspicions, because it would explain your motivations, but I had no proof, no way of finding out for sure. It made sense that Hawkmoth would be Gabriel Agreste. The butterfly miraculous requires its wielder to be creative and inventive, since it relies on their ability to convert the subject’s emotions into a source of power. And he had the motivation.”

Adrien hummed in agreement.

“Additionally, such a clever and talented individual getting ahold of the cat miraculous would be incredibly dangerous. I’d be lying if I said I had never considered taking your miraculous away. But even still, it was safer to let it all play out. I didn’t want to repeat past mistakes. And if Hawkmoth was Gabriel Agreste, your fate if you were to lose the cat miraculous would have been disastrous. Maybe it would have even alerted him about the presence of a Guardian in Paris. But now that we know the truth, we can plan accordingly.”

Adrien gulped. So Fu had considered taking his miraculous away before. “A-are you going to tell Ladybug who I am?”

Fu shook his head. “It is not up to me to decide when it will be right for there to be no more secrets between you two. I only know that it is not yet time.”

Adrien curiously tilted his head, brows furrowed in confusion. “How do you know that?”

As Fu started to answer, Adrien heard a doorknob twist open behind him and he quickly pulled his scarf back over his features.

The door opened and Ladybug’s voice exclaimed, “There you are! What are you two doing out here in the entryway?”

Adrien cleared his throat, then stammered, “R-right, pardon my manners. Please, come in.”

Fu walked past him, entering the living area. He took Ladybug’s hands between his, shaking them briefly, and said, “Wǎnshàng hǎo, Ladybug.”

With a small bow, Ladybug replied, “Wǎnshàng hǎo, shīfù. Thank you for coming at such short notice. Please, have a seat.”

Chat entered the room, having transformed now, and stepped forward to greet her.

He stopped short, realizing that he wasn’t quite sure how to greet her since last night’s development in their relationship, not to mention being very conscious of the Guardian watching them. He settled for a hug, which she returned, squeezing him tightly, and added a quick, discreet peck on his cheek. He smiled, feeling his face heat up.

Pleasantries aside and everyone seated, it was Ladybug who spoke first.

“Thank you both for being here. There’s a lot we need to talk about.”

----------

A transformed Wang Fu stood at the bedroom window, curtains drawn, chanting in a language that neither Ladybug nor Chat Noir understood, holding the last of several metallic talismans he’d blessed and scattered around the room. The pair kept their eyes on him, marveling at the efficiency and care that he put into each incantation. There was something sacred, even holy about this ritual. They could feel powerful magic emanating from his form, invisible bursts of energy swirling about the room, dancing all around them in a silent symphony.

Ladybug cast a furtive glance at her partner. He’d been quiet for a little while, after learning about his attempted akumatization the night before. Ladybug had told him that it was Marinette who let her know, and that Plagg was the one who had informed her.

She’d called Master Fu before going to school to let him know what happened last night, and he promised he would figure out a solution. He’d spent all day preparing these special talismans, which would ward off akumas and keep them from entering this room. But only this room. He wasn’t strong enough to cast such a potent, long-term spell over a larger area; especially not at his age.

Fu, or rather, Jade Turtle, was silent for a few moments after placing the last charm, a silver one with indecipherable symbols carved into it, then turned around to face the couple.

“The talismans are almost done being enchanted,” he said, pretty out of breath, beads of sweat present on his brow. “There is one more thing that needs to be done. But I think I’ll need your help for this, Ladybug.”

Ladybug stepped forward in response. “Sure, Master. What is it?”

“I would do it myself, but, well… let’s just say I’m not as young as I used to be.”

“Of course Master, anything you need. Just tell me what to do.”

Fu removed his bracelet, the turtle miraculous, and turned back to his civilian self, then handed the jewelry to her. His kwami, Wayzz, floated next to them awaiting instruction.

“If you could transform with my miraculous to finish the protection spell, I’d very much appreciate it. I’ll show you what to do when you’re ready.”

The young woman gaped at him, having never transformed into any hero other than Ladybug before.

“Oh! R-really?? S-sure! No problem...” She took the bracelet hesitantly, studying it like she’d never seen it before, then excused herself to the ensuite for privacy.

In the bathroom, Ladybug detransformed and removed her earrings, handing them to Tikki for safekeeping. She put on the emerald stone bracelet, staring at it as if it might try to crawl away from her if she wasn’t careful enough.

She squeezed her eyes shut in preparation. “Wayzz, shell on.”

Jade green light shone around the bathroom, and Marinette felt the magic of the turtle miraculous engulf her form. When it passed, she gulped and opened her eyes, lifting them to the mirror to catch a glimpse of her newly transformed self.

“Whoa.”

The heroine stared at her reflection across the way. She ran her fingers over the various bits of fabric and armor, taking the time to appreciate the feel and texture. Somehow, she felt quite powerful. Tough. Solid. Almost like a sentient brick wall.

“Wow, Marinette! You look incredible!” Tikki whispered to her.

“Aww, thank you Tikki,” she replied. “It feels so different, but it’s also really cool.”

Sparing one last glance into the mirror, she finally emerged from the bathroom. Fu was seated at the desk chair across the room, taking a short breather. Chat was speaking to him in hushed tones, but turned around when he heard her re-enter the bedroom.

His jaw dropped and he gasped.

“Oh my God, you’re adorable!” Chat blurted out. He caught himself and turned tomato red, then stuttered, “Umm! S-sorry, I––”

Ladybug (Lady...turtle??) giggled, stepping forward to stand beside him once again. “Thanks,” she replied shyly, reaching up to tuck some hair behind her ear as she usually did when she was nervous, but her hand bumped into her suit’s hood instead. Not quite sure what to do with her hands, she folded them in front of her as she awaited further instruction.

Tikki flew in front of Master Fu, bowing her head in greeting. “It’s good to see you again, Master!”

“Likewise. I hope you are doing well,” he greeted back.

Tikki flew over to Chat Noir, to say hello to him as well. “Hello, Chat Noir! It’s nice to formally meet you,” she chirped happily.

Chat beamed and answered, “Tikki, right? It’s great to finally meet you too! I must admit, you look a little different than I thought you would.”

Tikki giggled. “Did you think I’d be more insect-like? Maybe with six legs and an exoskeleton?”

Chat shrugged timidly. “Well, I mean… Maybe…?” ‘Ladybug’ and Tikki looked at each other and snickered at his reply.

Fu smiled at their interactions fondly, recalling times spent with loved ones, allies no longer here. With a small grunt, he stood up to continue the protection ritual.

“This way, Ladybug. Chat Noir and Tikki, please stand over there; we’ll need a bit of space for this. You might feel a bit tired once this is finished, so be sure to get plenty of rest tonight,” he instructed.

Tikki perched on Chat’s shoulder as he moved towards the edge of the room. They spoke in hushed voices as Fu instructed Ladybug and had her repeat phrases from his notes.

While they waited, Chat turned to Tikki and whispered, “By the way, I wanted to thank you... for helping Ladybug and keeping safe all these years. She means a lot to me.”

If kwamis could blush, Chat was sure that’s what Tikki’s face showed at the moment. “It’s been a pleasure to be her kwami. She’s the best! I’m glad you’ve gotten to know her and see what a sweet person she is.”

Chat smiled, cheeks dusted pink. “I am too.”

------

Many minutes passed, and Ladybug and Fu finished casting the protection ward. Chat helped Fu gather his things as Ladybug excused herself to transform back to her regular hero self.

As she re-emerged from the bathroom, Chat handed her a glass of water and invited her to sit on the bed so she could catch her breath and gather back some of her energy. “Welcome back, Lily-bug,” he greeted her with a wink. Ladybug beamed at him, accepting the water and taking a seat next to him.

Fu stood beside them, having finished gathering his belongings in a satchel. As he gave Ladybug time to rest, he asked, “Do either of you have any questions about the protection ritual, or about anything else?”

Ladybug replied, “I actually do have some questions, sir.”

Fu nodded.

“Master... why did Hawkmoth attempt to akumatize Chat Noir last night? If he’s tried it before, why did he not succeed during other nights?” Ladybug’s questions came faster once she got started. “Since he tried to akumatized Chat, does that mean he knows where he lives now? Is Chat even safe here anymore? What about the Dupains? Are they gonna be okay? How much does Hawkmoth know?”

Chat looked at Fu expectantly, realizing that he, too, had those same questions.

Fu replied, “The owner of the butterfly miraculous sends out his butterflies in search of a specific strong emotion, but is not aware of their location until after the host accepts it. He is able to learn some vague details about why they are feeling that certain emotion. My guess is that he was able to locate him while he was having a nightmare. So, no. He does not know that Chat Noir lives here. His powers have limitations, just like you do with yours. He is more powerful since he is older and more experienced, but even he can’t overextend the capabilities of his miraculous.”

He paused, stroking his beard, and contemplated. Then he asked, “Did something happen last night to make your emotions different from what they normally are?”

Ladybug and Chat Noir looked at each other, blushing furiously, stammering as they attempted to answer without divulging too much unnecessary information.

Fu raised an eyebrow, then chuckled knowingly, raising his hands to stop them. “It’s okay, I don’t need to know the details.”

“Umm! I-it’s not what you think!”

“M-master, don’t misunderstand–”

“Y-you see–”

“What happened was…”

“My guess is–” Fu interrupted, “–That Hawkmoth sensed your great joy last night, and became enraged. He couldn’t stand the thought of you being happy because it would mean that he is in the wrong, and his pride won’t allow him to accept that.”

Chat and Ladybug fell silent, looking downcast, as the explanation both made sense yet was immensely disheartening.

“There’s something else, Master,” Ladybug spoke again. “Something happened at school today. Akumas, but they vanished without a trace. I mentioned it to you earlier today over the phone. Have you ever heard of such a thing?”

“Ah, yes. And all that remained was two white feathers?” Fu asked.

“That’s right. Could the akumas still be out there because they haven’t been purified?”

Fu shook his head. “Allow me to explain. Firstly, as Ladybug already knows, two of the miraculouses in my box went missing when the temple of the guardians was destroyed: the butterfly and the peacock. One of them fell into Hawkmoth’s hands sometime within the last few years. But after hearing about what happened at the school today, we can now confirm that Hawkmoth is currently in possession of not just one, but of both of them. Either that, or he has someone else working under him.”

“The Peacock… of course!” Ladybug gasped, voice filled with dread.

Chat looked at her, then back at Fu, waiting for him to elaborate.

“The Guardian’s Grimoire calls them ‘sentimonsters’, mystical beings created out of thin air using the peacock miraculous, which harnesses the power of emotions. They can be created and destroyed whenever the wielder desires. Usually they are simple creatures, designed to be helpers or perform smaller tasks. However, they can also be more sophisticated, even indistinguishable from other humans, although an enormous amount of energy is required to create these complex sentimonsters. One can even ‘borrow’ the appearance of an already existing person. In this case, Hawkmoth chose not to give the sentimonsters the ability to speak, so they couldn’t divulge their secrets, in the event that they were caught.”

Ladybug shuddered. “What the hell?! That is so creepy.”

“Indeed.” Fu looked over at Chat, who had remained pensive throughout this exchange. “Any thoughts, Chat Noir?”

Chat looked up at him, trying to figure out how to phrase what he wanted to say. “I… I think I remember seeing the peacock miraculous in my father’s safe once. I only caught a glimpse of it; I just thought it was some of my mom’s jewelry he kept as a memento. I had no idea it was a miraculous. Otherwise, I would’ve had Plagg help me break into the safe and taken it with me when I ran away from home. There are so many things my father never told me… I’m sorry I don’t know more.”

Ladybug reached out to hold his hand, giving it a small squeeze, which he returned.

“You’ve done more than you know, believe me,” Fu replied as he unconsciously squeezed his satchel, which contained the electronic tablet where his copy of the Grimoire was stored.

He stuck his hand in his pocket and stepped forward, handing Chat Noir a card with his cell phone number.

“Call me if you have any questions, either of you. Even if it’s the middle of the night. Wayzz will make sure I hear my phone if it rings; he’s a much lighter sleeper than I am.”

“Thank you, Master Fu,” replied Chat, smiling. “And thank you too, Wayzz.”

“Thanks, Wayzz. Thank you, Master.” said Ladybug.

“Also, I must remind you once again that your identities must remain a secret until things settle down. There are negative effects that could happen if you are revealed too soon, and I’m not sure what they could be; but it’s best not to find out.”

Ladybug frowned. “But when will that be, Master? It would be so much easier to be able to communicate without having to transform.”

Fu shrugged helplessly. “I’m afraid I don’t have an answer for that. We must allow things to continue to develop on their own. I'm sure we’ll know when the time is right.”

Ladybug let out a displeased sigh. Chat nodded, glancing away with a worried look in his eyes. Despite Ladybug’s eagerness (and despite his own curiosity), waiting suited him just fine for now.

After saying their goodbyes, Fu left the pair behind and let himself out with a final wave. The two heroes remained in the bedroom, contemplating what had been discussed.

After sitting in silence for a few moments, unsure of what to say next, a lightbulb seemed to light up inside Ladybug’s brain, and she began typing away into her yo-yo communicator. Chat watched curiously, wondering what she was up to.

Moments later, she hopped out of the bed to jot something down onto a sticky note from Chat’s desk, then walked back.

“Just because we can’t tell each other who we are doesn’t mean we shouldn’t be able to contact each other when we’re not transformed. Kwamis aren’t pagers, after all.”

“Pagers? What decade is this, anyway?” Chat razzed.

“Hush, you,” she mock scolded him, suppressing a smile. “ Anyway! Here’s my brand new, Chat Noir-exclusive email address,” she said, handing him the note with a wink.

Chat’s eyes lit up. “Wait, really??” He unfolded the paper as if it was a Christmas present, excited to read the contents. His eyes widened and he burst out laughing.

“ ‘[email protected]’ ?!”

“What, you don't think I’m great?” she teased, striking an exaggerated, Chat Noir-style pose.

Chat’s snickering only intensified and he nodded. “Oh, for sure! The greatest!” he agreed.

Ladybug smirked. “I made it just now,” she explained. “So you’re the only one who knows about it. We may not be able to hang out in person yet, but I’d still like to talk to you during the day. Plus, it’ll come in handy for emergencies.”

“Buginette you’re a genius!”

Ladybug giggled, feeling her face warm up despite herself. “M-maybe we can message each other when you have some free time? I mean… now that you don’t have to worry about getting akumatized in your own room anymore. Your bedroom’s pretty much the safest place in Paris now, thanks to Master Fu.”

“And thanks to you, as well, my dear ‘Lily-bug’,” Chat reached up to take her hand, gently pulling her down to sit next to him. “I feel much better already. And knowing I can talk to you anytime makes me feel even safer.”

She scooted closer, setting her head down on his shoulder. “Y-you know… you make me feel safe too, Kitty.”

Chat’s insides twisted into pleasant little knots, suddenly feeling rather warm. “Really?”

He felt her smile as her hand squeezed his arm, her other one sneaking across their laps to wrap her fingers around his own. “Yeah. I know we’ve only been allies for a short time, but I’ve already lost count of all the times you’ve saved me or sacrificed yourself to help others. Our partnership grows stronger every day, and I think Hawkmoth knows it. He knows we’re stronger together. And it’s only a matter of time until we can be together without these masks too, I just know it.”

He turned towards her, putting his fingers under her chin and lifting her head to have her look up at him. Their eyes met, her pupils dilating as they focused on his own, and he could see a bright blush blooming on her cheeks.

“Me too,” he whispered, as he brought their lips together.

She blissfully melted into him, letting out a small noise of contentment. She deepened the kiss, reaching behind his head to caress his hair with her slender fingers. Their kisses and breaths mingled together and they lost track of everything else around them.

A little while later, they faintly heard the grandfather clock striking the hour in the living room, then some noises as the Dupains shuffled upstairs from the bakery to get ready for bed.

Ladybug pulled back and they separated, his lips still tingling from her touch.

“I… I should probably get going soon,” she lamented with a small shrug. “It’s starting to get late.”

“Would you like me to walk you home? Or rather, to somewhere around your neighborhood?”

She shook her head. “That’s not necessary. Besides, I’m closer than you might think,” she added a bit cryptically.

“I wish you could stay,” he said softly, reaching up to tuck some hair behind her ear. He gave her nose a tiny smooch. “Just a teeeeensy bit more?” he begged, giving her the best kitten eyes he could muster.

Ladybug giggled shyly, cheeks still dusted with pink. She gave his own nose a peck, her lips soft and inviting. “Well… I guess I could stay just a little bit longer,” she said with a smirk.

“Purr- fect,” he said, capturing her lips once again.

-------------

Note:

Many of the events in the “Volpina” and “Collector” episodes happened in this AU, albeit heavily modified to suit the story. Adrien found the grimoire in his father’s safe, took it out to study it, and Lila stole it. Since Adrien didn’t act impressed about Lila knowing Ladybug, she didn’t magnify the lie and claim to be Ladybug’s best friend; therefore, Ladybug never showed up to call her out on her lie, and Lila was never akumatized.

However, Tikki did see the book in the dumpster and retrieved it, and Marinette showed it to Master Fu. After Gabriel discovered the book was missing and pulled Adrien out of school, Fu made a copy so that Marinette could return it to Gabriel, and Adrien was allowed to attend school again. Currently, Adrien has no idea that this is how Fu acquired his grimoire; he merely assumes that Fu has always had his own copy.

Of course, Marinette began to suspect that Gabriel might be Hawkmoth because he owned the grimoire. Gabriel akumatized himself into the Collector in order to avoid suspicion, and with Chat’s help, almost succeeded in obtaining the ladybug miraculous. Ultimately, Ladybug outsmarted him, got him to accidentally “collect” Chat, and succeeded in purifying his akuma. But by then, Gabriel had “proven” he was an innocent civilian and Ladybug dismissed his potential involvement as Hawkmoth.

----

P.S. Another note: Certain things that are similar but not identical to canon have been in my outline since the beginning, so I apologize if they're a little confusing (such as the protection talismans being similar to Ladybug's akuma victims' lucky charms or the destruction/disappearance of the Guardian Temple)

#Miraculous Ladybug #Ladynoir #Enemies AU #enemies to lovers #Marinette Dupain Cheng #Adrien Agreste #Chat Noir #Ladybug #fanfiction #Discordant Sonata #ML AU #aged up #Eden writes

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timotey · 4 years ago

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History 4: Close to You is so, so good! Totally effed up, don't get me wrong, especially the relationship between Ye Xing Si & Fu Yong Jie, but so very good. Because even their relationship is something I've never seen done like that on-screen, it's refreshingly new in its, well, wrongness. I'm old enough not to be satisfied with coffee shop tales and stories done twenty times over anymore so this darker, twisted take on a love story makes for a fascinating watching for me.

Also, the friendship among Teng Mu Ren, Ye Xing Si and Xiao Li Cheng is a thing to behold. I love it, the way they really talk about everything, the trust they have in each other. It's really *chef's kiss*

Also #2, I'm quite amused by people's annoyance with the back and forth about who tops and who bottoms on-screen when exactly this is what you encounter in fandom every day, fights over who is the "woman" in the relationship (currently, I'm side-eyeing you, Word of Honor fandom).

Also #3, the actors in H4 are beautiful, especially An Jun Peng who plays Ye Xing Si and Anson Chen who plays Teng Mu Ren. Striking!

#history 4 #history 4: close to you #and now something live #and now twdrama #mé

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shijiujun · 4 years ago

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HIStory4: 近距離愛上你 Close To You | Brief Synopsis

History TW officially announced History4 today and the cast, and they started filming a day ago if I’m not wrong! So this will probably come out in say 3-4 months I hope, because filming usually takes a month. The social media team pointed out that the cast’s unique selling point is their height, everyone is taller than 184cm, and even the main girl is 180cm with heels LMAO.

HIStory4: 近距離愛上你 = Means ‘loving you from a close distance’, officially they’re naming it Close To You

Synopsis: 涂善存有一雙濃眉電眼，這次飾演婚顧公司業務一部經理「蕭立呈」，外表陽光帥氣，個性豪爽，面對感情喜歡「直球」對決。他劇中為了追求小時候的初戀對象、同時也是腐女的「劉美芳（紀欣伶飾）」，找上陳立安飾演的禁慾系貴公子「藤沐仁」，組成「呈仁CP」賣腐吸引對方注意，沒想到假戲真做，兩位直男互掰彎，大談辦公室戀情。

Tu Shan Cun has charismatic eyes, and this time he’s portraying wedding company department manager Xiao Li Cheng (2nd guy from the left). His appearance is sunny and handsome with a decisive and relaxed personality. When it comes to relationships, he likes to be blunt and confront the other person head on. In this drama, he intends to pursue his first love from his childhood days, who is also a fujoshi called ‘Liu Mei Fang’ (played by Ji Xin Ling). He finds rich young master Teng Mu Ren (played by Chen Li An, first guy from the left) who abstains from pleasure (I assume he doesn’t have sex or is a virgin? NO IDEA) and forms the ‘ChengRen’ CP with him to catch his first love’s attention. Who knew that they would end really falling with each other, and turn each other gay - an office romance.

*Edit: About the ‘turning each other gay’ part, admittedly it could be a translation thing, but the words they used is 直男互掰彎 where 直男 = straight guys, 互 = ‘each other’, and 掰彎 is sort of like slang, literally means = bent slanted = not straight = gay, so you guys get what I mean. HAHAHAHA personally, honestly, I do think there’re better ways to describe how they fell in love lmao. To be fair, it’s used in danmei and even usual chinese drama that’s set in the modern times, but I’ve only ever seen this phrase used in light jest. It does more or less literally mean to bend = to not be straight.

安俊朋飾演婚顧公司創意總監「葉幸司」，有顆體貼的心，常常笑口常開，是療癒系暖男一枚，與涂善存、陳立安是同事關係，對沒有血緣的弟弟相當寵愛。林嘉威則化身腹黑兄控，飾演醫學院學生「傅永傑」，對無血緣的哥哥葉幸司（安俊朋飾）異常執著。安俊朋、林嘉威則挑戰「繼兄弟」的禁斷之戀，腹黑兄控與純情暖男的「永幸CP」令人期待。

An Jun Peng plays the wedding company’s creative director Ye Xing Si (second guy from the right) - he has a kind and considerate heart, and always has a smile on his face. He is colleagues with the characters that Chen Li An and Tu Shan Cun are playing and dotes significantly on his non-related younger brother. Lin Jia Wei (guy on the most right) plays med student Fu Yong Jie who is obsessed with his brother. Both actors challenge the ‘forbidden love’ trope - the YongXing CP.

—————

Hahahaha for reasons that are probably clear to everyone, the description is a bit problematic (like the phrases they use), as they describe problematic tropes 😂😂😂

#history4 #history4: close to you #history4 close to you #近距离爱上你 #close to you #okay edited with some more additions #i was at dinner when i translated this hahaha oops

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drmikewatts · 4 months ago

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IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 8, Number 5, October 2024

1)Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence

Author(s): Joey Tianyi Zhou, Ivor W. Tsang, Yew Soon Ong

Pages: 3196 - 3198

2)Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement

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9)Adaptive Strategies and its Application in the Mittag-Leffler Synchronization of Delayed Fractional-Order Complex-Valued Reaction-Diffusion Neural Networks

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10)Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning

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Pages: 3559 - 3575

30)Energy-Efficient and Interpretable Multisensor Human Activity Recognition via Deep Fused Lasso Net

Author(s): Yu Zhou, Jingtao Xie, Xiao Zhang, Wenhui Wu, Sam Kwong

Pages: 3576 - 3588

31)A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions

Author(s): Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin

Pages: 3589 - 3602

32)Efficient Processing of Spiking Neural Networks via Task Specialization

Author(s): Muath Abu Lebdeh, Kasim Sinan Yildirim, Davide Brunelli

Pages: 3603 - 3613

33)Multi-Relation Augmentation for Graph Neural Networks

Author(s): Shunxin Xiao, Huibin Lin, Jianwen Wang, Xiaolong Qin, Shiping Wang

Pages: 3614 - 3627

34)Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction

Author(s): Edwin Lughofer, Igor Škrjanc

Pages: 3628 - 3642

35)Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation

Author(s): Xiaodan Zhang, Shixin Dou, Junzhong Ji, Ying Liu, Zheng Wang

Pages: 3643 - 3653

36)Adversarial Examples Detection With Bayesian Neural Network

Author(s): Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee

Pages: 3654 - 3664

37)From Concept to Instance: Hierarchical Reinforced Knowledge Graph Reasoning

Author(s): Cheng Yan, Feng Zhao, Yudong Zhang

Pages: 3665 - 3677

38)FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs

Author(s): Yingcheng Wang, Songtao Guo, Dewen Qiao, Guiyan Liu, Mingyan Li

Pages: 3678 - 3690

39)PATReId: Pose Apprise Transformer Network for Vehicle Re-Identification

Author(s): Rishi Kishore, Nazia Aslam, Maheshkumar H. Kolekar

Pages: 3691 - 3702

40)Predicting Citywide Crowd Flows in Critical Areas Based on Dynamic Spatio-Temporal Network

Author(s): Heli Sun, Ruirui Xue, Tingting Hu, Tengfei Pan, Liang He, Yuan Rao, Zhi Wang, Yingxue Wang, Yuan Chen, Hui He

Pages: 3703 - 3715

41)MFLink: User Identity Linkage Across Online Social Networks via Multimodal Fusion and Adversarial Learning

Author(s): Shudong Li, Danna Lu, Qing Li, Xiaobo Wu, Shumei Li, Zhen Wang

Pages: 3716 - 3725

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