#Fan Rui Hao

[queer-media-recs]

[gabrielokun]

[hazel-makes-things]

The World of Fantasy 灵域 (2021) | Episode 8

[blmpff]

About Youth (2022) 1x7

[bununuu]

general info dump/link list for people just learning about rui!

rui has studied/competed in traditional dance for his whole life since childhood. his sister is also a dancer & influencer on insta (iamriva123) and they used to post kpop dance videos together.

rui was also on boys planet, but was eliminated during the 3rd round of eliminations at 23rd place. i wanted to compile some of the more fun videos from his time on boys planet to help everyone get to know him~~

boys planet audition: iconic traditional dance~

star level test: see rui STUN 90+ trainees and the mentors with his traditional dance skills

behind of the star level test: rui and other trainees go up on stage to dance to the girl's planet 999 song

hidden box video: (these were part of promo before boys planet aired) basically rui and his bestie zhang hao reaching into a mystery box and being incredibly endearing (vol warning for headphone users)

dance battle: see rui spin like a top and do cartwheels around the entire stage, also featuring the iconc line "YOU'RE A BIRD!" from haruto

kill this love practice: rui memorizing a choreo by just laying around and stretching while watching the video

more kill this love practice: rui and zhang hao comfort fellow trainee min who's having a rough time

behind the scenes in boys planet dorm: see rui with 3/9 of zb1, and also the other global trainees (including wumuti!) teasing him for stretching all the time

dorm vlog: rui shows off his flexibility once again, answering the burning question of how he stretches in the shower

butterfly practice: somewhat painful to watch, but rui is a very comforting presence to junseo who's going through it this episode, and the whole group has great dynamics

lip reading game with over me team: some rly cute rui moments as he starts the game and gets exasperated with the word they got

more game day fun: no subs unfortunately, but basically over me team has to try to put pants on without using their hands. zhang hao and rui get very creative.....with their mouths

over me 1.5x speed: just super fun, and rui has to literally drag zhang hao up off the ground toward the end

over me win: iconic for how much of an underdog group they were, and rui is extremely emotional

over me on mcountdown behind: just a lovely video, they're all excited to be on a Real music show... if the vibes seem kinda off it's bc rui was technically already eliminated at this point, but it hadn't aired yet and fans didn't know :((

reaction to zhang hao getting 1st on boys planet: couldn't find a good fancam of this, but rui literally collapses into sobs when it's announced that hao placed 1st, and it's only when he sees rui on the big screen that it really sinks in for hao that he won T T

[herpsandbirds]

Red-fan Parrot (Deroptyus accipitrinus), family Psittacidae, found in northern South America

photograph by Kow Hao Rui

[feng-huli]

tag people you want to get to know better

I was tagged by @thebansacredbanned 😺

Last song: lately, I've been listening on loop to 迢迢漫漫 from the Love of the Divine Tree soundtrack because it has a few notes that remind me of a part in Do You Hear the People Sing? from Les Mis. Also, it has the same composer as The Blood of Youth, Hu Xiao'ou.

Favourite color: I live for green. Whether it's the warm green of leaves in the golden sunset or the cool green of Wuchang Gui's lips in the silvery dark, it brings me so much joy.

Last book: An He Zhuan, in preparation for the upcoming Dark River drama. I'm intruiged to see what differences there will be, and how gloriously the fights will translate to a visual medium—particularly under the capable direction of Yin Tao. I have the utmost confidence in Yan Su's continued portrayal of Zhuo Qing, and, after seeing the actors' performances in Love of the Divine Tree, I'm especially excited to see Ray Chang as Song Yanhui and Zhao Huanran as my son, Xiao Yong.

Last movie: Wicked. One of my favorite musicals, and I loved seeing Michelle Yeoh portraying Madame Morrible. Her costuming was excellent, and the way she used touch to manipulate Elphaba and Glinda was captivating.

Last tv show: I recently finished a flurry of shows, and I still haven't completely organized my thoughts on them, so I’ll put more beneath the cut.

Sweet, spicy or savory? It's not quite past the part of winter where I need sweetness to warm my morale and brighten my day.

Last thing searched for online: caramel. I was looking into whether it had salt, because I mentally associate it with salt but wasn't entirely sure.

Current obsession: Jin Yan—I love himmmm 💜

Looking forward to: the upcoming episode of the shao nian ge xing donghua, partially because the plot is doing something incredibly interesting with Jin Xuan, and partially because I'm looking forward to seeing the fandom's reaction. It turns out that Jin Xuan thirst is an international phenomenon, and reading “恋老癖发力了” (“the gerontophilia is kicking in”) and “我先给瑾宣当狗为敬” (“I'll be a dog for Jin Xuan first as a sign of respect”) when opening xiaohongshu made me smile yesterday (translations from the app itself). I consider myself more of a drink-maker of rather than a thirster for Jin Xuan, but I’m always happy to see appreciation for one of my favorite characters 💜

Tagging: @colleyuriko @evanescelf @koglasain and anyone else who wants to!

The Advisors Alliance/Growling Tiger, Roaring Dragon

Impressions: Excellent cinematography, great music, lots of fun and compelling moments. I don't know what in Freud is going on regarding consort/emperor/eunuch relationships, but I'll probably be chewing on it for a while. I'm especially intrigued by how the show plays with those roles and blurs the lines between them.

Favorite Characters: Cao Cao, Cao Zhen, Bi Xie, Xun Yu, A-Weng

Favorite Ships: Cao Cao/Xun Yu, Cao Rui/Bi Xie, Qing Xiao/Liu Shan

Other Thoughts: I wish Huang Hao was in it more. I had a hard time getting invested in the characters I'd normally be more drawn to because I wasn't sure if they would stop mattering/disappear/die, especially after a time-skip. This is no fault of the show, since it's based on history and time-skips are neccessary to cover the story being told. It just affected my personal enjoyment, due to how I tend to approach things.

Kill My Sins

Impressions: Beautiful show with a beautiful cast, excellent music and smart writing.

Favorite Characters: Ni Chang, Ye Ping'an, Lu Danxin, Fan Cheng, Lu Wei

Favorite Ships: The lesbian revenge polycule

Other Thoughts: I wish the release schedule had been faster, since it negatively affected my watching momentum. Luckily, that won't be a problem for anyone who wants to get into it now.

Love of the Divine Tree

Impressions: It was such a joy to see so much of the TBoY cast again! Wonderful visuals, soundtrack, acting, and costuming.

Favorite Characters: Ye Xin, Wei Jiu, and Tu Jiuyuan

Favorite Ships: Ye Xin/Su Yu, Tu Jiuyuan/Wei Jiu

Other Thoughts: Enjoyable. No particular frustrations. I don't have strong feelings on most of this show, other than having a blast whenever Tu Jiuyuan and Wei Jiu were on screen, especially together, and going absolutely insane over Ye Xin, who is a delicious combination of Jin Xuan and Li Changsheng. Mostly, it just inspires me to write more TBoY fics.

Mysterious Lotus Casebook

Impressions: I mostly watched this because I wanted to have an understanding of its appeal, and I succeeded in that goal.

Favorite Characters: Snow Master (Xue-gong), Jiao Liqiao, Shan Gudao

Favorite Ships: Jiao Liqiao & Xue-gong, Jiao Liqiao/Di Feisheng, Shan Gudao/Li Xiangyi

Other Thoughts: Just like time-skips in historical dramas, the structure of cases made it hard for me specifically to find personal investment. Whenever I saw a new character and thought they were interesting, there was a thirty percent chance they would be the perpetrator of a crime, an eighty percent chance they would die, and a ninety percent chance they would stop mattering once the case was over.

And here’s two shows that I only watched Yan Su’s scenes in:

The Baking Challenge

Thoughts: All of Yan Su's costuming was excellent, even his sleepwear was gorgeous. I loved his russet red hair, especially with the green he often wore. He can pull off a chef's hat just as well as he pulled off a eunuch hat. His bromance was hilarious. I appreciated that the nature of the show being focused on cooking allowed for plenty of close-ups of his beautiful hands, especially since sculpting was his character's specialty.

I was incredibly confused by his love interest. She'd appeared to be stalking him in her fancy car and trying to him away from his friends with weird bribery phone calls, so I thought she was a villian. Then, there was the car accident where he thought she had died, is absolutely shaken when he's giving his love confession after finding out she's alive, while she's just hiding her smirk behind their embrace. There was the star-gazing ordeal, where he was trying to be romantic despite them not being able to watch together, even leaving the good telescope for her to use, but she whines and hangs up, so he ends up leaving his friends just to get back to her. At some point, I think I remember her family trying to bribe him with money and a restuarant to get engaged to her. And when she creepily showed up at his ex's home unprompted, giving the ex a midwife that she picked out herself, I thought for sure that something was going wrong. Overall, from what I've seen of the show, her behavior seems very stalkerish and controlling, and given how, from what I remember, his arc started because he was too overbearing in his relationship with his ex, it seems like an odd conclusion to just flip the situation. I really thought she was being set up as a villain, and he was going to leave her for his more balanced friendships.

Anyways, I did love their scene with the ice slipper, since it amused me that a character played by Yan Su was giving someone ice (romantic), when I've written Zhuo Qing giving Jin Yan ice (sexual). Well, it was mostly Zhuo Luo's ice, but Zhuo Qing froze it again.

Young Blood Seaon 1

Thoughts: I saw Yan Su's scenes in Season 2 a while ago, and his character is pretty interesting in Season 1 too. He doesn't have as many scenes this time, nor are they nearly as intense as Season 2, but they're still pretty fun. Nothing beats him being spanked by a sword, though 😹

[444namesplus]

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[drmikewatts]

IEEE Transactions on Emerging Topics in Computational Intelligence Volume 9, Issue 2, April 2025

1) IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection

Author(s): Qing Guo, Ruofei Wang, Rui Huang, Renjie Wan, Shuifa Sun, Yuxiang Zhang

Pages: 1093 - 1106

2) CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution

Author(s): Dongyang Zhang, Shuang Liang, Tao He, Jie Shao, Ke Qin

Pages: 1107 - 1118

3) Diffusion-Based Radiotherapy Dose Prediction Guided by Inter-Slice Aware Structure Encoding

Author(s): Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang

Pages: 1119 - 1129

4) A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction

Author(s): Jian Cheng, Tian Zhang, Shuang Zhang, Huimin Ren, Guo Yu, Xiliang Zhang, Shangce Gao, Lianbo Ma

Pages: 1130 - 1142

5) Adaptive Q-Learning Based Model-Free H∞ Control of Continuous-Time Nonlinear Systems: Theory and Application

Author(s): Jun Zhao, Yongfeng Lv, Zhangu Wang, Ziliang Zhao

Pages: 1143 - 1152

6) CCO: A Cluster Core-Based Oversampling Technique for Improved Class-Imbalanced Learning

Author(s): Priyobrata Mondal, Faizanuddin Ansari, Swagatam Das

Pages: 1153 - 1165

7) Content-Aware Caching at the Mobile Edge Network Using Federated Learning

Author(s): Anirban Lekharu, Avik Samanta, Arijit Sur, Moumita Patra

Pages: 1166 - 1176

8) Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction

Author(s): Meng Ma, Hongping Gan

Pages: 1177 - 1188

9) PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer

Author(s): Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang

Pages: 1189 - 1201

10) Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation

Author(s): Fan Li, Hang Zhou, Huafeng Li, Yafei Zhang, Zhengtao Yu

Pages: 1202 - 1215

11) A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities

Author(s): Adyasha Sahu, Pradeep Kumar Das, Indraneel Paul, Sukadev Meher

Pages: 1216 - 1225

12) A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets

Author(s): Emrah Hancer, Bing Xue, Mengjie Zhang

Pages: 1226 - 1237

13) A Novel Immune Algorithm for Multiparty Multiobjective Optimization

Author(s): Kesheng Chen, Wenjian Luo, Qi Zhou, Yujiang liu, Peilan Xu, Yuhui Shi

Pages: 1238 - 1252

14) A Novel Sparrow Search Scheme Based on Enhanced Differential Evolution Operator

Author(s): Zewei Liu, Chunqiang Hu, Tao Xiang, Pengfei Hu, Xingwang Li, Jiguo Yu

Pages: 1253 - 1268

15) Adaptive Non-Homogeneous Granulation-Aided Density-Based Deep Feature Clustering for Far Infrared Sign Language Images

Author(s): Pritam Paral, Saibal Ghosh, Sankar K. Pal, Amitava Chatterjee

Pages: 1269 - 1280

16) Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine

Author(s): Rahul Sharma, Tripti Goel, M Tanveer, Mujahed Al-Dhaifallah

Pages: 1281 - 1291

17) MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint

Author(s): Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao

Pages: 1292 - 1306

18) Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment

Author(s): Yanghe Zou, Peilan Xu, Hao Dai, Heng Song, Wenjian Luo

Pages: 1307 - 1321

19) Memetic Differential Evolution With Adaptive Niching Selection and Diversity-Driven Strategies for Multimodal Optimization

Author(s): Yufeng Feng, Weiguo Sheng, Zidong Wang, Gang Xiao, Qi Li, Li Li, Zuling Wang

Pages: 1322 - 1339

20) Class Discriminative Knowledge Distillation

Author(s): Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng

Pages: 1340 - 1351

21) Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions

Author(s): Xiaoxu Jiang, Qingda Chen, Jinliang Ding, Xingyi Zhang

Pages: 1352 - 1366

22) Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume

Author(s): Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang

Pages: 1367 - 1378

23) An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data

Author(s): Di Wu, Yuanpeng Hu, Kechen Liu, Jing Li, Xianmin Wang, Song Deng, Nenggan Zheng, Xin Luo

Pages: 1379 - 1391

24) Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation

Author(s): Xiaohua Wu, Lin Li, Xiaohui Tao, Jingling Yuan, Haoran Xie

Pages: 1392 - 1405

25) Population Stream-Driven Scalable Evolutionary Many-Objective Optimization

Author(s): Huangke Chen, Guohua Wu, Rui Wang, Witold Pedrycz

Pages: 1406 - 1417

26) Binary Classification From M-Tuple Similarity-Confidence Data

Author(s): Junpeng Li, Jiahe Qin, Changchun Hua, Yana Yang

Pages: 1418 - 1427

27) AdaFML: Adaptive Federated Meta Learning With Multi-Objectives and Context-Awareness in Dynamic Heterogeneous Networks

Author(s): Qiaomei Han, Xianbin Wang, Weiming Shen, Yanjun Shi

Pages: 1428 - 1440

28) Trustworthy Federated Fine-Tuning for Industrial Chains Demand Forecasting

Author(s): Guoquan Huang, Guanyu Lin, Li Ning, Yicheng Xu, Chee Peng Lim, Yong Zhang

Pages: 1441 - 1453

29) MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease

Author(s): Jiayu Ye, Dan Pan, An Zeng, Yiqun Zhang, Qiuping Chen, Yang Liu

Pages: 1454 - 1468

30) Optimized Leader-Follower Consensus Control of Multi-QUAV Attitude System Using Reinforcement Learning and Backstepping

Author(s): Guoxing Wen, Yanfen Song, Zijun Li, Bin Li

Pages: 1469 - 1479

31) Exploiting High Performance Spiking Neural Networks With Efficient Spiking Patterns

Author(s): Guobin Shen, Dongcheng Zhao, Yi Zeng

Pages: 1480 - 1489

32) A Tunable Framework for Joint Trade-Off Between Accuracy and Multi-Norm Robustness

Author(s): Haonan Zheng, Xinyang Deng, Wen Jiang

Pages: 1490 - 1501

33) A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring

Author(s): Tuhinangshu Gangopadhyay, Tanushree Meena, Debojyoti Pal, Sudipta Roy

Pages: 1502 - 1513

34) TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive

Author(s): Xiaoqian Jiang, Jing Zhang, Ming Wu, Victor S. Sheng

Pages: 1514 - 1526

35) Deep Learning Quantitative Susceptibility Mapping With Reduced Training Time Based on Local Field Transformation

Author(s): Ming-Long Wu, De-Rong Huang, Jhih-Shan Cheng

Pages: 1527 - 1538

36) ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement

Author(s): Hai Wang, Guirong Zhang, Long Chen, Yicheng Li, Tong Luo, Yingfeng Cai

Pages: 1539 - 1555

37) Evolutionary Neural Architecture Search for Transferable Networks

Author(s): Xun Zhou, Songbai Liu, A. K. Qin, Kay Chen Tan

Pages: 1556 - 1568

38) TSK Fuzzy System Optimization for High-Dimensional Regression Problems

Author(s): Zhenhua Shi, Shuang Huang, Lihua Wu, Qiang Zhang, Xiangpeng Zhang, Yahao Cao, Yuanbao Chen, Yunfei Lv

Pages: 1569 - 1580

39) Adversarial Attention Networks for Early Action Recognition

Author(s): Hong-Bo Zhang, Wei-Xiang Pan, Ji-Xiang Du, Qing Lei, Yan Chen, Jing-Hua Liu

Pages: 1581 - 1594

40) Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms

Author(s): Liang Ran, Huaqing Li, Lifeng Zheng, Jun Li

Pages: 1595 - 1609

41) Causal Feature Selection With Imbalanced Data

Author(s): Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Bingbing Jiang, Kui Yu, Xindong Wu

Pages: 1610 - 1626

42) CSP-Lite: Real-Time and Efficient Keypoint-Based Pedestrian Detection

Author(s): Yisong Jia, Huihui Pan, Jue Wang, Weichao Sun

Pages: 1627 - 1637

43) Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis

Author(s): Xun Shen, Hampei Sasahara, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara

Pages: 1638 - 1649

44) Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games

Author(s): Jin Yu, Ya Zhang, Changyin Sun

Pages: 1650 - 1658

45) Multi-Medium Image Enhancement With Attentive Deformable Transformers

Author(s): Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala

Pages: 1659 - 1672

46) A Novel Hypercomplex Graph Convolution Refining Mechanism

Author(s): Jingchao Wang, Guoheng Huang, Guo Zhong, Xiaochen Yuan, Chi-Man Pun, Jinxun Wang, Jianqi Liu

Pages: 1673 - 1687

47) Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph

Author(s): Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai

Pages: 1688 - 1698

48) Optimal Cooperative Control of Multi-Agent Systems Through Event-Triggered Model-Free Reinforcement Learning

Author(s): Chaoxu Mu, Zhuo Tang, Ke Wang

Pages: 1699 - 1711

49) SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection

Author(s): Kaixuan Li, Shibo Jiang, Rui Zhang, Jianfeng Qiu, Lei Zhang, Lixia Yang, Fan Cheng

Pages: 1712 - 1727

50) Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering

Author(s): Zixiao Yu, Lele Fu, Yongyong Chen, Zhiling Cai, Guoqing Chao

Pages: 1728 - 1742

51) MASER: Multi-Order Attention and Semantic-Enhanced Representation Model for Complex Text Recommendation

Author(s): Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Zhe-Rui Yang, Xiao-Dong Liao, Chang-Dong Wang, Min Chen

Pages: 1743 - 1755

52) ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging

Author(s): Qi Liu, Jie Wei, Thomas Penzel, Maarten De Vos, Yuan Zhang, Zhiyi Huang, Mikhail Poluektov, Yulan Zhu, Chenyu Li

Pages: 1756 - 1765

53) Simultaneously Learning Deep Quaternion Reconstruction and Noise Convolutional Dictionary for Color Image Denoising

Author(s): Zheng Zhou, Yongyong Chen, Yicong Zhou

Pages: 1766 - 1779

54) End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation

Author(s): Xinyao Liu, Junchang Xin, Qi Shen, Chuangang Li, Zhihong Huang, Zhiqiong Wang

Pages: 1780 - 1794

55) Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information

Author(s): Qi Lai, Chi-Man Vong, Sai-Qi Shi, C.L. Philip Chen

Pages: 1795 - 1804

56) Multi-Hop Reasoning With Relation Based Node Quality Evaluation for Sparse Medical Knowledge Graph

Author(s): Tian Zhang, Jian Cheng, Lijie Miao, Hanning Chen, Qing Li, Qiang He, Jianhui Lyu, Lianbo Ma

Pages: 1805 - 1816

57) Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering

Author(s): Hangjun Che, Chenglu Li, Man-Fai Leung, Deqiang Ouyang, Xiangguang Dai, Shiping Wen

Pages: 1817 - 1829

58) Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors

Author(s): Liping Sun, Fan Huang, Xiaoyao Zheng, Liangmin Guo, Qingying Yu, Zhenghua Chen, Yonglong Luo

Pages: 1830 - 1842

59) Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward

Author(s): Zhe Peng, Zhifeng Lu, Xiao Mao, Feng Ye, Kuihua Huang, Guohua Wu, Ling Wang

Pages: 1843 - 1859

60) Utilizing a DenseSwin Transformer Model for the Classification of Maize Plant Pathology in Early and Late Growth Stages: A Case Study of Its Utilization Among Zambian Farmers

Author(s): Chiuzu Chilumbu, Qi-Xian Huang, Hung-Min Sun

Pages: 1860 - 1872

61) Dual-Scale Attributed Graph Transformer for Extracting Spatial-Temporal Features With Applications in Quality Index Prediction

Author(s): Kesheng Zhang, Wen Yu, Tianyou Chai

Pages: 1873 - 1884

62) Event Causal Relation Extraction in Brain Connectomics: A Model Utilizing Weighted Joint Constrained Learning

Author(s): Lianfang Ma, Jianhui Chen, Jiajin Huang, Yiyu Yao, Ning Zhong

Pages: 1885 - 1896

63) DeepPCC: Learned Lossy Point Cloud Compression

Author(s): Junzhe Zhang, Gexin Liu, Junteng Zhang, Dandan Ding, Zhan Ma

Pages: 1897 - 1909

64) A Novel Attention-Based Dynamic Multi-Graph Spatial-Temporal Graph Neural Network Model for Traffic Prediction

Author(s): Chunyan Diao, Dafang Zhang, Wei Liang, Man Jiang, Kuanching Li

Pages: 1910 - 1923

65) The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++

Author(s): Yang Sen, Wang Zhenmin, Song Wenlong, Yang Changqun

Pages: 1924 - 1933

66) Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning

Author(s): Amit Kumar Bhuyan, Hrishikesh Dutta, Subir Biswas

Pages: 1934 - 1946

67) Generative Probabilistic Meta-Learning for Few-Shot Image Classification

Author(s): Meijun Fu, Xiaomin Wang, Jun Wang, Zhang Yi

Pages: 1947 - 1960

68) Simultaneous Segmentation and Classification of Esophageal Lesions Using Attention Gating Pyramid Vision Transformer

Author(s): Peixuan Ge, Tao Yan, Pak Kin Wong, Zheng Li, In Neng Chan, Hon Ho Yu, Chon In Chan, Liang Yao, Ying Hu, Shan Gao

Pages: 1961 - 1975

69) Leaders and Collaborators: Addressing Sparse Reward Challenges in Multi-Agent Reinforcement Learning

Author(s): Shaoqi Sun, Hui Liu, Kele Xu, Bo Ding

Pages: 1976 - 1989

70) Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation

Author(s): Chuyuan Wei, Baojie Yuan, Chuanhao Hu, Jinzhe Li, Chang-Dong Wang, Mohsen Guizani

Pages: 1990 - 2000

71) Leveraging Synergy to Design Neural Differential Distinguishers for Lightweight Block Ciphers

Author(s): Arpita Sarkar, Malay Bhattacharyya, Utpal Garain, Saibal Kumar Pal, Shantanu, Sanghamitra Bandyopadhyay, Nikhil R. Pal

Pages: 2001 - 2013

72) Triplet Bridge for Zero-Shot Sketch-Based Image Retrieval

Author(s): Jiahao Zheng, Yu Tang, Dapeng Wu

Pages: 2014 - 2025

73) Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion

Author(s): Naiyao Liang, Zuyuan Yang, Wei Han, Zhenni Li, Shengli Xie

Pages: 2026 - 2032

74) Deep Analysis of Visual Product Reviews

Author(s): Chandranath Adak, Soumi Chattopadhyay, Muhammad Saqib

Pages: 2033 - 2038

75) Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning

Author(s): Siguang Chen, Jianhua Shen

Pages: 2039 - 2044

76) Generative Model Predictive Control: Approximating MPC Law With Generative Models

Author(s): Xun Shen

Pages: 2045 - 2051

77) Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images

Author(s): Bouthaina Slika, Fadi Dornaika, Karim Hammoudi

Pages: 2052 - 2058

78) Event-Triggered Random Delayed Impulsive Consensus of Multi-Agent Systems With Time-Varying Delay

Author(s): Wei Zhang, Junjie Chen, Shiping Wen, Tingwen Huang

Pages: 2059 - 2064

79) Toward Autonomous Distributed Clustering

Author(s): Jie Yang, Chin-Teng Lin

Pages: 2065 - 2072

80) Predicting Side Effect of Drug Molecules Using Recurrent Neural Networks

Author(s): Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh

Pages: 2073 - 2078

[sultanaislammow]

The quality of short videos is not as good as that of medium and long videos?

Station B will change the way it displays HE Tuber front-end data, and many people believe that Station B will return to the main track of medium- and long-form videos. Chen Rui also emphasized in his speech: "The year-on-year growth rate of PUGC mid- and long-form videos has remained above 26% in the past year, so the current base of Bilibili is still PUGC mid- and long-form videos."

In 2021, Station B launched Story Mode in the form of short videos, but after more than two years of operation, the results did not seem to meet management’s expectations. On the one hand, native medium- and long-form video UP owners and old fans of station B will be repelled by the influx of short video content. Creators are worried about diverting their traffic, and old users are worried that the original community atmosphere of the platform will be undermined. dilution.

From an industry-wide perspective, Bilibili’s short video products cannot stand on their own and can only serve as a supplement to the platform’s content ecosystem. It is difficult to drive user growth and cannot seize resources from DouKuai.

However, for Bilibili, the current competitive situation it faces, whether it is the decline in user data or the decrease in advertising revenue, should be attributed to the pressure of the short video platform, not the content form of short video.

Chen Rui gave a more extreme example in his speech, "A UP owner spent half a month and carefully produced a half-hour video. The quality is very good, but the playback volume may be as much as that of a two-minute video shot with a mobile phone." Daily life videos are pretty much the same.”

Frankly speaking, this situation does exist in the creative process, and is not even uncommon, so it is highly recognized and resonated by the creator community.

But at the same time, it is worth noting that with the vigorous development of the short video industry in recent years, the aesthetic level of users has also improved, which has forced the short video ecology to change. Its creation cost and production level are not necessarily higher than those in China. Video creators want low.

For example, the cross-dressing blogger "Zhu Tiexiong" who attracted tens of millions of followers with only 18 videos last year, and the Sannong blogger "Hao Duan Duan Pig" who gained 1 million followers in one week this year, have demonstrated their video production capabilities and content creativity. The relatively outstanding level has also achieved a double harvest of data dissemination and audience reputation.

Therefore, it is biased to only use short videos and medium and long videos to distinguish content quality. It can only be said that under this mechanism, the filtered traffic content will be more in line with the original content ecology of Bilibili.

3. Station B has not yet solved its profitability problem

Chen Rui is determined to reorganize the content ecology of Station B. On the one hand, it is due to the phenomenon that bad currency drives out good currency in the platform ecosystem, and on the other hand, it is due to the imminent profit pressure of Station B.

As a content platform, Bilibili was once recognized as a "mecca for creating memes" in the Internet circle. With its free and open discussion atmosphere and avant-garde content ecology, Bilibili has produced titles such as "Rain Girl Without Melon", "Mouse Tail Juice", " "The defense is broken" and other well-known hot memes, but looking back on the past year or two, a large number of Internet hot memes have exploded on short video platforms represented by Douyin.

Another noteworthy change is that there are fewer and fewer Chinese video content and UP owners out of the circle at Station B. The most recent one can be traced back to "Second Uncle Cured My Mental Internal Conflict" a year ago, and Looking back three or four years ago, Bilibili creators represented by Half Buddha Immortal, Wizard Finance, He Classmate, etc. often produced out-of-the-box works.

These two changes may not be eye-catching, but for a platform like Station B, they are enough to make people anxious. When a content platform cannot rely on content to attract more traffic, it means that there is a problem with the foundation on which the platform relies for its survival.

Another more significant problem is that Bilibili's target deadline of "achieving breakeven in 2024" is getting closer, but as of the first quarter of this year, Bilibili's net loss is still 630 million, and its total revenue is only There was an increase of 0.3%.

Amid the lack of open source, Bilibili has focused more on "saving expenditures." According to its financial report, Bilibili's total operating expenses and marketing expenses have continued to decline.

Another more significant cost reduction is the reduction of subsidies for UP owners, which has directly led to the emergence of the "UP owner suspension trend". Although CEO Chen Rui believes that this conclusion is misleading by the media, Bilibili UP It is an indisputable fact that the main income has shrunk.

Neither the platform nor the creators can always generate electricity for love. The platform's revenue is weak and it will reduce expenses. The decrease in creators' income will inevitably affect the output of content.

In this way, we actually fall into a vicious circle that can never be closed. The platform wants to use higher-quality content to maintain community traffic and thereby enhance its commercial monetization capabilities, but it is unable to provide content creators with the most direct support.

Regardless of whether it is the "number of views" or "video playback minutes" that is displayed to the outside world, what most creators are concerned about is whether the increase in traffic brought about by this change can offset the impact of the decline in the unit price of content subsidies, or bring Come to more monetization opportunities.

If this change only stops at data indicators, then this will undoubtedly be another empty promise made by Bilibili to creators.

[gabrielokun]

[7-starboi]

Ray is so clingy and cute and ah jian just lets him. They like each other so much I need more of them why was this series so short 😭

[canolove]

Use For My Talent {{我亲爱的小洁癖}} stills

(June 2021)

©️ tto

[kdram-chjh]

Cdrama: The World of Fantasy (2021)

Official Trailer: The World of Fantasy | 灵域 | iQIYI

Watch this video on Youtube: https://www.youtube.com/watch?v=Jsu-mhlu8hw

[movielosophy]

Do you know the difference between fresh-meat and middle-aged men?

[eyenaku]

Ji ji fu ji ji

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