#chen lihua

[lizhly-writes]

anyway i wrote some sibling bonding. sibling bonding by way of trying to interfere with your brother's love life. you know. normal things. probably doesn't happen in 'canon' but. eh.

“You know, I wanted a cute sister-in-law,” Chen Lihua said reproachfully over dinner one night.

“Shut up about that,” Chen Liwei said reflexively, before what she said actually caught up with him. “Wait, why are you bringing that up.”

“I thought you’d be really cute with A-Lian. She’s so fun.”

It took him a moment. “Mu Qilian?”

“Oh, you remember her!” Chen Lihua said, eyes lighting up. “Isn’t she pretty?”

Chen Liwei didn’t really care what Mu Qilian looked like. Mostly he didn’t care about what anyone looked like. What was more memorable than any physical trait was this: “...That’s the girl you’re psychologically torturing.”

Chen Lihua made an affronted noise. “That’s called making friends. Just because you’re allergic to the concept doesn’t mean it's psychological torture.”

No, Chen Liwei was pretty sure it was psychological torture, because he was pretty sure that Mu Qilian did not actually want to be friends with Chen Lihua. Whenever he actually saw them together, there was usually a lot of yelling and screaming on Mu Qilian’s end as Chen Lihua blithely pressed on whatever buttons she needed to pick a fight. Was this intentional? Chen Lihua was certainly capable of acting nicer. Whether or not she considered ‘acting nicer’ part of the friend-making process was… unclear.

“You don’t need to pair me with your… friend,” Chen Liwei said. “It’s not like she’s interested.” He thought for a moment, and added, “In anything to do with either of us, but especially you.”

“Rude!” Chen Lihua blared. “That’s so rude. If you’re this rude, how can you get A-Lian’s attention? You’re so lucky you’re pretty!”

“I’m pretty sure I’m nicer to her than you are,” Chen Liwei said dryly. After all, he met the low, low bar of not immediately starting an argument the moment they made eye contact.

“You’re arguing with me about how nice you are to A-Lian?” Chen Lihua said, delighted. “You didn’t say you’re not interested--”

“I’m not interested.”

“Urgh,” Chen Lihua said. “Why. She’s pretty and smart and fun and this one time she tried to kick me in the head, it was so cute. You would like her so much. I like her, you should too.”

Chen Liwei squinted. “It actually sounds like you’re the one who --”

“Just talk to her! I think you’d really get along! It’s not like you’re really saving yourself for that Wu Youxuan, right?”

“...What.”

Chen Lihua blinked at him guilelessly. “What?”

“What the fuck are you even talking about.”

“Oh,” Chen Lihua said, in a tone of great realization, and then, much more casually, “Nothing, really, it’s just that I think you should get out more! Make friends! With A-Lian!”

Chen Liwei narrowed his eyes. That was not what she meant. If that was what she meant, there was no need to bring up her hopes for his love life and Wu Youxuan in the same conversation.

“Wait,” Chen Liwei said, connecting some dots. “Wait, is that why you hate him?”

“Hate is such a strong word,” Chen Lihua said. “Also, I don’t know what you’re talking about.”

Chen Lihua definitely knew what he was talking about. She’d actually started off reasonably friendly with Wu Youxuan, on account of classifying him as her older brother’s friend. At some point, this behavior had turned in favor of passive-aggressive comments about having nowhere else to live and metaphors about taking in stray dogs. Hate was a strong word for it, but there was a definite uptick in hostility that Chen Liwei hadn’t really paid much attention to.

“You think we’re in a relationship,” Chen Liwei said.

“Don’t be silly, I know you’re not in a relationship,” Chen Lihua said. “Which is why I’m telling you that A-Lian would be such a good girlfriend. You know, if you wanted a relationship. Which I guess you don’t.”

“You’re trying to stop me from being in a relationship,” Chen Liwei amended. “With… Wu Youxuan? Why do you think--”

“I don’t think anything,” Chen Liwei said promptly. “A-Lian always says I’m brainless, which is really funny when I outscore her in exams. If I’m brainless, what’s she? Really, it’s worse for her than me.”

“Stop trying to change the subject!”

“Oh, would you look at the time, I have a lot of homework to do actually, so, if you excuse me --”

“Chen Lihua you little shit get back here--”

[lizhly-writes]

welp. here's something a week or so late.

Chen Lihua had loads of friends! Tons of friends! All of them ready and willing to stab her in the back! She got the feeling that this was contrary to the lessons that media was supposed to teach her! Undying loyalty? Common decency? Enjoying each other’s company! Perish the thought! Chen Lihua settled for at least vaguely liking a person, and that was it!

It was, if she thought about it, a sort of sad way to live.

Sure, there were lone wolf types in media, but that was different. It wasn’t like they ever tried making friends. They were too cool and aloof and independent. That was how they were made.

Chen Lihua wasn’t really made like that.

Didn’t it get boring, without anyone to talk to? Wasn’t it despairingly uninteresting, being left with only yourself and your own thoughts? Chen Lihua would know --- she’d spent a long time living that way.

This week’s word is…

✨ DESPAIR ✨

Find the word in any WIP and share the sentence containing it. Reply, reblog, stick it in the tags, tag us in a new post, or keep it private. All fandoms, all ships, all writers welcome.

[gorillageek27]

Madison is now a BIG SISTER to her new triplet siblings from her Dad and Mrs. Chen-Russell (I officially gave them names and they're my newest MV human OCs).

Their names are Lihua (girl), Chu-Hua (girl), and Marco (boy).

Madison: *being followed by her new sibling like baby duck *yes, they're all wearing duck clothes*

[ghostly-runes]

Marauders era characters and their siblings headcanons/ocs

Notes:

I saw someone on here say that it’s out of character for most of the Marauders Era characters not having any siblings and I agree. So I compiled a list of most of the characters that I think have siblings. Ask if you want to know more about any of them :]

(Also, I’ll probably make separate post for all the family’s and include some more info and face claims.)

Listed:

Pandora and Evan

Marlene

Alice

Xenophillius

Peter

Mary

Pandora and Evan Rosier’s siblings

A little background:

- The twins were raised by their grandparents because their mother’s husband despised them as they weren’t his. However, to not cause any uproar he claims them as his so they have his last name.

- Their father is a lestrange and their mother had them through an affair

- They went to school from '72-'79

- Pandora is older and transfemme so she’s the heir of the family

Dahlia Rosier:

- Goes to school from ‘73-'80

- Slytherin

- French

- 1/4 Veela

- half sibling from their mother’s side

- She was raised by their mother and her husband (Who is Dahlia’s bio father)

- Growing up she’s taught to despise her siblings as well by her father, however after she starts at Hogwarts she learns slowly that they aren’t as bad as her dad makes them out to be

- She’s jealous for quite a while that even though Pandora isn’t her dad’s bio kid she’s the heir of his family

- she’s a snobby kid when she’s younger but grows up to be kinder person (still sarcastic and blunt though)

- She’s the rich wine aunt to Luna when she’s older

Rodolphus Lestrange:

- Goes to school from '64-'71

- Slytherin

- French (fathers side) + Russian (mothers side)

- is aware of Pandora and Evan but doesn’t have a relationship with them

Rabastan Lestrange:

- Goes to school from '68-'75

- Slytherin

- French (fathers side) + Russian (mothers side)

- is aware of Pandora and Evan but doesn’t have a relationship with them

Marlene McKinnon’s Siblings

Background:

- Marlene’s mom is Chinese from Canada

- All of Marlene’s siblings have a English and Chinese name, I’ll include both (please let me know if I fuck these up any as I’m not Chinese)

- Marlene goes to school from ‘70-‘77

- Her Chinese name is “Mǐn Jūn” for those of you curious

Cecelia "Chen" McKinnon:

- Goes to school from '73-'80

- Gryffindor

- Canadian + Chinese (mothers side)

- Cecelia tends to be the typical “perfect” younger sibling to their parents and is treated like it, putting a strain on hers and her sisters relationships

- She’s a shy girl that is creative and good at most forms of art (Painting being her favorite)

- She is also good at sports but doesn’t like them

Lillian "Lihua" McKinnon:

- Goes to school from '69-'76

- Gryffindor

- Canadian + Chinese (mothers side)

- Plays as quidditch Beater while at Hogwarts

- Lillian is the more “rebellious” sibling getting into trouble with their parents often

- She’s the most charismatic out of her sisters

- She is closest with Marlene and they both tend to get in trouble with one another

- She’s also where Marlene got her love of quidditch from

Shannon "Xīn yán" McKinnon:

- Goes to school from '68-'75

- Gryffindor

- Canadian + Chinese (mothers side)

- Shannon is quiet and stoic but is very much a person her sisters go to for advice if they need it

- She’s the reader of the family

Alice Longbottom(neé Fortescue)’s sibling(s)

Background:

- the siblings live and grow up in Italy, going to Hogwarts for school

- Bartimeus Crouch is a family friend to their father (Enzo Fortescue)

- Barty grows up living close to the Fortescue’s until he moves at 9 back to Scotland

- Alice goes to school from '68-'75

Florian Fortescue:

- Goes to school from '62-'69

- Hufflepuff

- Italian

- he’s the sane one, he tends to be pretty laid back and hangs out in his family greenhouse often

- He’s so emotionally aware and just really good at comforting people, Alice and Barty learn this skill from him

Barty Crouch Jr.:

- Goes to school from '72-'79

- Ravenclaw

- Scottish (dad’s side) + Puerto Rican (mom’s side)

- Plays as quidditch Beater while at Hogwarts

- him and Alice argued all the time when they were little but also practically joined at the hip until he had to move

- Alice and him write letters to one another as often as they can

Xenophillius Lovegood’s sibling

Background:

- Xenophillius is born under a different name and changes it after he moves away and cuts contact with his family

- Xeno goes to school from '72-'79

- The Malfoys are ethnically French but live in England

Lucius Malfoy:

- Goes to school from '65-'72

- Slytherin

- British + French

- growing up him and Xeno didn’t get along, Lucius always thought his siblings was strange and teased them

Peter Pettigrew’s siblings

Background:

- Pete goes to school from '71-'78

- Because his sisters are older Peter isn’t really close with them

- The Mckinnons and Pettigrews grew up together as neighbors and consider one another family

- The Pettigrew siblings were raised by their aunt (Mother’s sister) as their mother wasn’t considered fit to raise them

Diana Pettigrew

- Goes to school from '67-'74

- Gryffindor

- German + British

- Diana is sarcastic and can be kind of mean at times but is generally a good person

- She’s one of the only people to see through Peter and suspect something of him when the Potters pass away and he suddenly goes missing

- She also figures out he’s a death eater after he goes missing

- She refuses to go to his funeral after he’s presumed dead and it strains hers and her sister’s relationship for a while

Heidi

- Goes to school from '68-'75

- Hufflepuff

- German + British

- Heidi is the sweetest girl you’ll meet but is bad for letting people walk all over her

- She believes her brother is innocent even after he’s proven guilty and is revealed to be scabbers and a death eater

- She’s one of the only people to show up to his funeral (the other being her aunt)

Mary MacDonald’s sibling

Background:

- Mary grows up with the kind of parents where they’re not divorced but should be

Jack MacDonald:

- He doesn’t go to Hogwarts as he’s born a muggle

- Is almost 4 years older than Mary

- Jack didn’t do well in school and dropped out in secondary school

- He’s extremely hardworking though and when his sister loses all her memories he helps her get back up on her feet

- Growing up he was fiercely protective of Mary and practically raised her even with not much of an age gap

[the-monkey-ruler]

Journey to the West: Trouble in Heaven and Conquer the Yellow Robe Monster (1928) 西遊記: 鬧天宮收伏黃袍怪

Picture: N/A Director : Chen Qiufeng / Li Yuanlong Screenwriter: Lin Ruxin Starring: Zheng Ruinian / Zhu Jianling / Gu Mengchi / Yuan Xueou / Wang Lihua Country/Region of Production: Mainland China Also known as: Journey to the West: Conquering the Yellow-Robed Monster in the Naotian Palace / Journey to the West · Conquering the Yellow-Robed Monster in the Naotian Palace / 西游记。闹天宫收服黄袍怪 / 西游记·闹天宫收伏黄袍怪 / 西游记之闹天宫收伏黄袍怪 Type: Retelling

Summary:

Tang Monk and his apprentice met the Bone Demon in Baihu Ridge. The Bone Demon successively transformed into a girl, an old woman, and an old man. She wanted the Tang Monk's flesh, but Sun Wukong saw through them all in time and killed the Bone Demon, but was scolded by Tang Monk, who was still alive with naked eyes. Coupled with Zhu Bajie's slander, he had to return to Flower Fruit Mountain. Tang Monk was soon captured by the Yellow-Robed Demon in the black pine forest. Fortunately, his wife secretly released him, but she turned out to be the third princess of Baoxiang Kingdom. The master and disciples came to Baoxiang Kingdom, and the Yellow-Robed Demon also turned into a beautiful man and followed him, turning Tang Monk into a tiger. Zhu Bajie went to Sun Wukong for help and tried to arouse Sun Wukong's anger towards the Yellow-Robed Demon. After a fierce battle, the Yellow-Robed Demon was subdued, Tang Monk returned to his original shape, the princess was rescued, and master and apprentice, father and daughter were reunited.

Source: https://movie.douban.com/subject/26416661/

Link: N/A

[lizhly-writes]

anyway for my cnovel people here's a teenage chen lihua

Hi there, been a while, here's a thing I drew. I think I've been thinking a little too hard about digital art as full finished perfect pieces with lots of details, which stopped me from actually, you know, finishing anything. I gave myself a limit of an hr on this one -- I think it didn't turn out too bad, haha.

[drmikewatts]

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

[investintowine-blog]

Hurun: China Produces Most Self-Made Female Billionaires

Hurun: China Produces Most Self-Made Female Billionaires

China’s ultra-wealthy population has been leading the way for the last few years, but the latest Hurun Global Rich List shows that the number of Chinese billionaires is growing, pulling the country even further ahead of the United States.

Chen Lihua (left) tops the self-made female billionaires on Hurun’s Global Rich List, while Jack Ma (right) retains his number two spot among China’s…

[writinggeisha]

Ah Cy…lovely

Ah Kum…good as gold

Ah Lam…peace

Ai…love, affection

Alix…dignified

An…peace

Annchi…angelic peace

Bai…crystal clear

Bao…treasure

Baozhai…precious hairpin

Bi…green jade

Bik…jade

Bingqing…clear as ice

Biyu…jasper; semi-precious stone

Bo…precious

Caihong…a rainbow in the sky

Chan juan…the moon; graceful; ladylike

Chang…free; uninhibited

Changchang…flourishing

Changying…flourishing and lustrous

Chao-xing…morning star

Chen the…morning

Chenguang…morning light

Chow…summertime

Chu Hua…chrysanthemum

Chun…springtime

Chunhua…spring flower

Chuntao…spring peach

Chyou…sweet autumn

Cuifen…emerald fragrance

Da Chun…long spring

Da-Xia…long summer

Dai-tai…leading a boy in hopes

Daiyu…black jade

Dandan…cinnabar red

Diu…one who is down to earth and is a practical person

Dongmei…winter plum

Ehuang…beautiful; august

Eu-fùnh…playful phoenix

Eu-meh…especially beautiful

Fan…mortal

Fang…fragrant; sweet-smelling

Far…flower

Fenfang…fragrant

Feng…maple

Fung…bird

Genji…who is most valuable as gold

Gho…responsible and inspirational

Guan-yin…goddess of mercy

Guang…glory

Hee…lotus

Heng…constant; steady; persistent

Hien…persevering

Holea…holy

Honf…sign of good luck

Hop…agreeable; consistent

Howin…a loyal swallow

Hu…tiger

Hua…flower

Hualing…flourishing herb

Huan…happiness

Hui ying…bright; intelligent

Huian…obliging and quiet

Huian…kind peace

Huifang…kind and fragrant

Huifen…wise and fragrant

Huilang…wise jade tinkling

Huiliang…kind and good

Huiqing…kind and affectionate

Huizhong…wise and loyal

Hwei-ru…wise and intelligent

Jia…beautiful

Jia li…good and beautiful

Jiahui…nice person

Jiao…dainty or lovely

Jiayi…household fitting

Jiaying…household flourishing

Jie…cleanliness

Jilpa…a teacher of life

Jin…gold

Jing…crystal; sparkling

Jing…small bird

Jingfei…still fragrance

Jinghua…situation splendid

Jinghua…leek flowers

Ju…chrysanthemum

Juan…graciousness

Jun…truth

Kuai hua…mallow blossom

Kwong…broad

Lai…future

Lan…orchid

Lanfen…orchid fragrance

Lanying…indigo lustrousness

Lanying…blue glitter or blue quartz

Lee…plum

Li…upright

Lì húa…beautiful pear blossom

Li mei…beautiful plum blossom

Li ming…beautiful and bright

Li na…beautiful and graceful

Li qin…beautiful stringed musical instrument

Li rong…beautiful lotus

Li wei…beautiful rose

Lian…the graceful willow

Lien… lotus

Liena…a woman as beautiful as a lotus flower

Lifen…beautiful fragrance

Lihua…beautiful and flourishing

Lijuan…beautiful and graceful

Liling…beautiful jade tinkle

Liling…white jasmine tinkling

LiMei…beautiful plum flower

LiMing … who is pretty and bright

Lin…beautiful jade

Ling…compassion and understanding

Linqin…beautiful zither

Liqiu…beautiful autumn

Liu…flowing

Lixue…pretty and pure as snow

Loi…thunder

Luan…upswing

Luli…dewy jasmine

Mayleen…beautiful

Méh-è…beautiful posture

Méh-fùnh…pretty or beautiful phoenix

Mei…beautiful plum

Mei Lien…beautiful lotus

Mei Xiang…beautiful fragrance

Mei Xing…beautiful star

Mei Zhen…beautiful pearl

Mei-yin…very beautiful or beauty.

Meifen plum…fragrance

Meifeng…beautiful wind

Meihui…beautiful wisdom

Meili…beautiful

Meilin…plum tree

Meiling…beautiful and delicate

Meirong…beautiful countenance

Meixiang…plum fragrance

Meixiu…beautiful grace

Meiying…beautiful flower

Meizhen…beautiful pearl

Mey…gorgeous or pretty or stunning.

Ming Yue…bright moon

Ming-huá…tomorrow’s flower

Mingmei…bright and beautiful girl

Mingxia…bright glow through the clouds at dawn

Mingxia…clear halo

Mingyu…bright jade

Mingzhu…bright pearl

Mu lan…magnolia blossom

Mu tan…tree peony blossom

Na…elegant or smooth

Ngo-Kwang…beautiful; august

Ning…tranquility

Ninghong…tranquil red

Niu…a girl

Nuan…wholehearted

Nuo…graceful

Nuwa…mother goddess

Nuying…female flower

O-Huang…august

Pangfua…clouds in the shape of flower

Peijing…admiring luxuriance

Peizhi…respectful

Peizhi…admiring iris

Ping…duckweed

Qi…fine jade

Qiang…rose

Qiànrú…nice smile

Qiao…skillful

Qiaohui…skillful and wise

Qiaolian…skillful always

Qing…dark blue

Qing…yuan clear spring

Qingge…clear pavilion

Qingling…lucky years

Qingyuan…a clear spring or deep water

Qingzhao…clear illumination/understanding

Qinyang…sunshine of my heart

Qiuyue…autumn moon

Renxiang…benevolent fragrance

Rong…martial

Rong…beautiful; elegant

Rong…honor, glory

Rou…gentle, mild

Rùfen…nice fragrance

Ruiling…auspicious jade tinkling

Ruolan…like an orchid

Ruomei…like a plum

Shan…virtuous

Shaoqing…young blue

Sheu-fùh…elegant phoenix

Shihong…the world is red

Shu…fair

Shu fang…kind; gentle and sweet

Shuang…frank; open-hearted

Shuchun…fair; pure

Shui…one who is like a water

Shun…smooth

Song…pine tree

Suyin…plain and unadorned sound

Syà…summertime

Sying…star

Tao…peach; symbol of long life

Tè…special

Teegan…good-looking

Ting…slim and graceful

Tu…jade element in earth cycle

Tung-Mei…winter plums

Ushi…the ox

Wan…gentle; gracious; beautiful; lovely

Wei…valuable; precious

Weici…preserving love

Wen…refinement

Wenling…tinkling sound of refined jade

Wenquian…refined matter

Xia…rosy clouds

Xia…glow of the sunrise or sunset

Xia…the summer lotus; pure and elegant

Xiang…fragrant

Xiao chen…early morning; dawn

Xiao hong … rainbow

Xiaodan…little dawn

Xiaofan…little and ordinary

Xiaohui…little wisdom

Xiaohui…morning sunlight

Xiaojian…healthy

Xiaojing…morning luxuriance

Xiaoli…morning jasmine

Xiaolian…little lotus

Xiaoling…morning tinkle

Xiaoqing…little blue

Xiaosheng…little birth

Xiaotong…morning redness

Xiaozhi…little iris

Xifeng…western phoenix

Xin qian…happy and beautiful

Xingjuan…arising grace

Xiu…fine; beautiful

Xiu Mei…beautiful plum

Xiulan…beautiful orchid

Xiurang…elegant countenance

Xiurong…beautiful glory

Xiuying…beautiful flower

Xue…snow

Xueman…snowy grace

Ya…graceful

Yan…swallow bird; gorgeous

Yáng…sun

Yanmei…Beijing plum

Yanmei…flattering and seductive

Yanyu…Beijing jade

Yenay…she who loves

Yet Kwai…beautiful as a rose

Yi jie…happy and pure

Yi min…happy and smart

Yi ze…happy and shiny like a pearl

Yín…silver

Ying…clever or eagle

Yingtai…flower terrace

Yow…feminine

Yu…jade or rain

Yu-jun…from Chongching

Yuan…original

Yuanjun…Yuan River ruler

Yubi…jade emerald

Yue…moon

Yue wan…happy and gentle

Yue ying…happy and smart; kind

Yue you…happy and friendly

Yuèhai…beautiful moon

Yuèqín…moon-shaped lute

Yuke…jade

Yun…cloud

Yunru…charming seeming

Yusheng…jade birth

Yüying…jade flower

Zhaohui…clear wisdom

Zhenzhen…precious

Zhilan…iris orchid

Zhu… bamboo

Zi…graceful; beautiful

Zongying…taking heroes/flowers as a model

[craftercat]

Yang Jian doesn't seem to have much of a remarkable early career, so how did he managed to take the throne easily?

Because he married his daughter Yang Lihua to Yuwen Yun and Yuwen Yong and Yuwen Yun died young.

He was not the most remarkable general in Northern Zhou, but he held military authority and was the son of Yang Zhong, who was a powerful general.

Shortly after his conquest of Northern Qi, Yuwen Yong died young at only 35. His son Yuwen Yun inherited the throne. Yuwen Yun was very extravagant. He later would create another four women empress as well as Yang Lihua as retired emperor. This was partly due to poor and even abusive parenting on Yuwen Yong's part, as he battered Yuwen Yun over mistakes like drinking alcohol.

Because Yang Jian was now waiqi or consort kin, he got more military authority, despite people having been suspicious of him since Yuwen Yong's reign.

Only a year after taking the throne, he passed the throne to his son Yuwen Chan. However Yuwen Chan was six and needed a regent. Yuwen Yun initially was regent himself, but he became even more extravagant as the retired emperor. He wanted to launch an attack on Chen but died before it could take place. Yuwen Chan was still only seven, and being Yuwen Chan's step-grandfather (Yuwen Chan's mother was not Yang Lihua; it was Zhu Manyue, another of Yuwen Yun's empresses, and she was 12 years older than Yuwen Yun), Yuwen Yun's men made him the regent.

Yang Jian eventually saw that Northern Zhou had collapsed beyond repair and he began making plans for a takeover. Northern Zhou's accomplished general Yuchi Jiong saw what was going on and rebelled against Yang Jian. After Yuchi Jiong's rebellion was suppressed, nobody could stop him usurping the Northern Zhou, and he began to slaughter the Northern Zhou princes in preparation (this was common for this type of usurpation), so he did that, forcing Yuwen Chan to abdicate and declaring himself emperor of the Sui dynasty. Afterwards he had Yuwen Chan and all of the descendants of Yuwen Tai executed.

Note: His dynasty name was the Sui dynasty, named after his dukedom, but he removed the walking radical from the name of his dukedom as he thought that it indicated that the dynasty wouldn't last. It turned out not to matter, as the dynasty fell within 40 years of its founding thanks to his second son Yang Guang killing millions of his own people.

[300iqprower]

China have a lot of Chinese women wwho led to the downfall : Mo Xi, Daji, Bao Si, Xia Ji, Li Ji, Xi Shi, Zhao Ji, Empress Lu Zhi, Yangcheng Zhaoxin, Zhao Sisters, Diaochan, Lady Zhen, Jia Nanfeng, Liu Chuyu, Feng Xiaolian, Pan Yu'er, Zhang Lihua, Empress Xiao, Empress Wei, Princess Anle, Yang Guifei, Li Shishi, Dong Ge/Yehe Laonu, Madame Ke, Wan Zhen'er, Chen Yuanyuan and Empress Cixi

if we dont count ones i know through FGO then out of all these I only know two, Da JI (which is the free space) and Diaochan

[lizhly]

Hi there, been a while, here's a thing I drew. I think I've been thinking a little too hard about digital art as full finished perfect pieces with lots of details, which stopped me from actually, you know, finishing anything. I gave myself a limit of an hr on this one -- I think it didn't turn out too bad, haha.

[psycheblog-uk]

Different Regional Gray Matter Loss in Recent Onset PTSD and Non PTSD after a Single Prolonged Trauma Exposure

Different Regional Gray Matter Loss in Recent Onset PTSD and Non PTSD after a Single Prolonged Trauma Exposure

Open Access  Peer-reviewed Research Article Yunchun Chen , Kuang Fu , Chen Feng , Lihua Tang , Jian Zhang, Yi Huan, Jinli Cui, Yunfeng Mu, Shun Qi, Lize Xiong, Cheng Ma, Huaihai Wang, Qingrong Tan , Hong Yin Published: November 14, 2012 https://doi.org/10.1371/journal.pone.0048298 Abstract Objective Gray matter loss in the limbic structures was found in recent onset post traumatic stress…

[theguideforwriters]

80+ FEMININE CHINESE NAMES

Under the cut, are 80 feminine names, of Chinese origin.

AI

CHANGYING

CHEN

DAIYU

FAN

GUANG

HUAN

JIA

JIAO

JIAYI

JIAYING

JIE

JINGHUA

JINJING

JU

JUAN

LAN

LANYING

LI

LIFEN

LIHUA

LIJUAN

LILING

LIN

LING

LIQIN

LIQIU

LIU

LULI

MEI

MEIFEN

MEIHUI

MEILI

MEIRONG

MEIXIANG

MINGZHU

NING

NIU

NÜYING

PEIZHI

QI

QIANG

QIAO

QING

QIU

QIUYUE

RONG

RUOLAN

SHUANG

SONG

SUYIN

TING

TUNG-MEI

WEN

WENLING

WENQIAN

XIA

XIANG

XIAODAN

XIAOHUI

XIAOLI

XINGJUAN

XIU

XUE

YA

YAN

YANMEI

YANYU

YING

YINGTAI

YU

TUAN

TUANJUN

YUE

YUN

ZHENZHEN

ZHILAN

ZHU

ZONGYING

[the-monkey-ruler]

New Journey to the West (1985) 新西游记

Director: Liu Weiyi Screenwriter: Cai Tiansong Starring: Yang Lihua / Xiao Fengxian / Wu Cui'e / Guan Cong / Huang Xitian / Xu Lu Genre: Mythological Drama / Gezi Drama / Emotional Drama Country/Region of Production: Taiwan, China Language: Hokkien Date: 1985 Number of seasons: 1 Number of episodes: 1 Single episode length: 60 minutes Type: Retelling

Summary:

"New Journey to the West" There is the Flower and Fruit mountain in the Aolai Country of Dongsheng China. A stone on the top of the mountain gave birth to a monkey. The stone monkey sought instruction from a teacher and was named Sun Wukong. He learned seventy-two transformations, could travel hundreds of thousands of miles in one somersault, and called himself the "Monkey King". He stole the Sea Fixing Needle and turned it into a Wish-Fulfilling Golden Cudgel. He then went to the underworld to cancel the monkey's name from the book of life and death. The Jade Emperor's two attempts to bring him peace ended in failure and he had no choice but to invite Buddha Tathagata to suppress Sun Wukong under the Five Elements Mountain.

The Tathagata sent Avalokitesvara Bodhisattva to the Eastern Land to find a Buddhist scripture collector, and to come to the Western Heaven to collect Buddhist scriptures and persuade all living beings. Guanyin enlightened Chen Xuanzang to go to the West to obtain the true scriptures. Tang Sanzang traveled westward and rescued Sun Wukong in the Five Elements Mountain. The two masters and apprentices traveled westward and captured the white dragon in Yingchou Stream. In Gaolaozhuang, Zhu Bajie was subdued; in Liusha River, Sha Wujing was subdued.

The four masters and disciples traveled across mountains and rivers to the west to seek scriptures. During the journey, the four masters and disciples eliminated demons and subdued them, and experienced countless hardships and obstacles. Finally, they came to the Holy Land of Lingshan, obtained the true scriptures, and returned to their homeland. Tang Sanzang and others returned the Buddhist scriptures to Chang'an, the capital of the Tang Dynasty, and the real body returned to Lingshan. Tang Sanzang was named the Sandalwood Buddha of Merit, Wukong was named the Fighting Victory Buddha, Bajie was named the Envoy of the Pure Altar, Sha Monk was named the Golden Body Arhat, and the White Dragon Horse was promoted to the Eight Heavenly Dragons. Each returned to his own place and shared the bliss.

Source: https://baike.baidu.com/item/%E6%96%B0%E8%A5%BF%E6%B8%B8%E8%AE%B0/19282471

Link: N/A

[everythingsarcasticwastaken]

随笔画的陈后主妖妃张丽华。野史《南部烟花记》中的记载：陈后主为张贵妃丽华造桂宫于光昭殿后，做圆门如月，障以水晶，后庭设素粉罘罳。庭中空洞无他物，惟植一桂树，树下置药杆臼，使丽华恒驯一白兔。丽华被素袿裳，梳凌云髻，插白通草苏孕子，靸玉华飞头履，时独步于中，谓之月宫。帝每入宴乐，呼丽华为张嫦娥。 袿裳，或袿衣，是古代女人的一种敝屣，也就是吊在腿前的布，像围裙又不是围裙。南北朝的袿裳流行杂裾，上面缝有三角的燕尾与飘带，后期简化成了很长的燕尾。凌云髻是一种高耸如入云霄的发髻，南北朝的女人开始流行���头发梳成发鬟，凌云髻到了南北朝可能就是单环的发髻。南北朝出土的文物没有特定的“飞头履”，所以这里的鞋是我自己随便画的。白通草苏孕子就是通草做得假花，插在头发里做装饰。南北朝流行服装是大袖襦裙，内衬白色曲领汗衫，女人带披子，可以纯属作为装饰的彩带，也可以在天冷时用夹棉披子做围巾。《妆台记》说陈朝后宫戴即晕妆，就是把双颊擦满胭脂的浓妆，不过张丽华为了表示嫦娥的清淡飘逸，大概会淡妆一点。除了胭脂外，从南北朝一直到宋朝，女子化妆还有各种贴在面上的装饰。南北朝后期，北方北齐流行淡妆，隋朝后来为了节俭也是提倡淡妆，但是这里还是用了一直很流行的斜红和花钿。

A sloppy sketch of one of Chinese History’s most infamous women, the last Emperor of Chen’s concubine, Zhang Lihua. According to the semi-historical “Record of Southern Decadence”, Emperor Chen would dress Lihua as the goddess of the moon, wearing “a white swallow-tail hem, hair combed into a Rising Cloud Bun, decorated with white pith paper imitation flowers, and wearing Jade Splendor-ed Flying Head shoes.” She lived in a “Moon Palace”, which had a round crystal-gated door, and a back garden that only had one sweet osamanthus tree, under which there was a mortar and pestle for grinding herbs, reflecting the myth of the goddess living with an osamanthus tree and a rabbit that constantly pounded out the elixir of immortality. To complete the myth set, she owned a white rabbit. Swallow tail hems are sort of Ancient Chinese decorative apron, from the Northern and Southern Dynasties period, deriving from a stylized and ceremonialized version of the loincloth. A Rising Cloud Bun is a sort of hooped hairdo. In addition to the above stated clothing, the general style for women’s dress was a white, round collared undershirt, a long-sleeved blouse and skirt combo, and a ribbon that could be used as decoration or a neck scarf. The semihistorical “Record of the Make-up Mirror” states that the Chen Dynasty imperial harem generally wore “drunken blush” make-up, where thick blush would be slathered on to make the cheeks seem very red, as if the woman was drunk with wine. However, Zhang Lihua is imitating the moon goddess, known for elegant simplicity, so her make-up might be lighter. In the sketch, she has the popular “xiehong”, a sort of facial decoration where two crescent marks are cut from cloth and pasted on the temples, or directly painted on, supposedly to imitate a scar that a favorite concubine of a certain emperor had. She also has a “hua-dian”, a forehead flower decoration, in her case, in the shape of a moon.