#Wu Jun Ting

[simply-whump]

The Unexpected Marriage (拂玉鞍) - Whump List

Whumpee : Prince Qin played by Wu Jun Ting

Synopsis : Princess Liu Chang Sheng from the Fu Yu Kingdom has the label of "husband-killer" attached to her name. As she reaches the age of marriage, she worries about finding a suitable husband. The Emperor intends to send her to the Tang Kingdom to marry the ruthless and bloodthirsty Prince Qin Li Jing, who is known as the "Jade-Faced Demon". As they get to know each other, they overcome prejudices, ignore rumors, and bravely pursue love, ultimately discovering the true meaning of love.(MDL)

Genres : Historical, Romance

Warning! Possible spoilers below!

Ep 1-3 : None

Ep 4 : (20:40) Falls in a hole and hurts his ankle, concern for him — (31:55) Limping

Ep 5 : None

Ep 6 : (32:25) Small burn on his hand, treated, wincing

Ep 7-11 : None

Ep 12 : (23:30) Drunk, small burn on his hand, treated, helped to walk

Ep 13 : None

Ep 14 : (23:30) Cut by a knife, concern for him — (25:45) Injury treated 

Ep 15-18 : None

Ep 19 : (34:10) Small bruise on his forehead, concern for him

Ep 20 : (18:10) Chained in a cold room, mental torture, looking weak

Ep 21 : (02:30) Cut by a sword, falls from a cliff — (04:55) Everyone looking for him, concern for him, thought to be dead

Ep 22 : None

Ep 23 : (37:00) Stabbed in the chest and slashed in the back while protecting his loved one — (38:30) Collapses, concern for him, passes out

Ep 24 : (02:10) Unconscious in bed, injured and poisoned — (10:30) Woke up, very weak, coughing — (14:45) Unconscious in bed — (27:15) Still in bed, looked after — (28:35) Given what should be the antidote — (31:25) Getting worse, doctors panicking, blood at his lips, concern for him — (34:35) Unconscious in bed

>> More Whump Lists

[xbethelight]

[kdram-chjh]

Cdrama: The Unexpected Marriage (2024)

Gifs of Intro of cdrama "The Unexpected Marriage"

ENG SUB 【拂玉鞍 The Unexpected Marriage】 EP01 刘长生遇难被吕敬救下，吕敬巧妙化解刘长生的“刁难”（漆昱辰、吴俊霆）

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

[moonlightsdream]

DRAMAS IN 2023: 18 | Time and Him Are Just Right (2022-2023) — dir. chen rong hui

[aylinaliens]

time and him are just right (2022) | episode 3

smitten (kitten)

[yingtan]

WU JUNTING for Spotlight Magazine, February 2023

[dramashii]

CW: Time and Him are Just Right

I'm always down for a youth drama. So, when I saw the poster of this drama in my iQiyi home page, I decided to check it out.

Time and Him are Just Right is a 25-episode Chinese drama. It follows the typical formula of youth dramas where we have two unlikely people: the male lead being cold, and straight-forward while the female lead is bright and enthusiastic, fall in love. This show follows their adventures as they go through their youth together.

Not going to lie, I disliked the first 4 episodes a lot. The antics of the female lead to befriend the male lead gave me secondhand embarrassment.

It made me cringe.

But I persevered and it paid off in the long run. 19 eps later, I learned to enjoy the chemistry between the leads.

Who could when they give us scenes like this.

Unlike a lot of youth dramas, the main couple here are actually both smart. There's no academic rivals tension going on between them, rather they help each other prosper in their own respective paths. I really like that.

This show doesn't really bring anything new to this genre, but it has everything I love in it: the friendships, finding your own directions, making mistakes and learning from them, the sweetness of first love. It literally takes me back to memory lane. It also portrays common problems young people often encounter which makes it very relatable. There are life lessons, and although shallow, I think any age group can appreciate it.

[somewheremoon]

He's so deeply in love with her

Time and him are just right (2022)

[shookethdev]

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

NAKU 🫵

[fandoestrans]

Hi! i saw your thread on twitter about Chinese culture concerning danmei in spain. You mentioned that Chinese names often follow some sort of theme and usually have 1 or two characters per name, so I wanted to ask you if there was anything else to naming customs in China?

I’m trying to create a name for a character I have and I want it to be authentic as possible :,)) sorry if this is too much to ask!! <3

Hello! Hope you're having a lovely day!

There can be a lot of art in something as simple as a name in Chinese-- my knowledge is not exhaustive but I'm happy to talk about and share as much as I can!

Chinese names usually go by a 1 or 2 word surname, followed by a 1 or 2 word first name. Depending on the region, some minority groups may have names longer than that too (e.g. 迪丽热巴 迪力木拉提 Dilraba Dilmurat, 库都斯江·艾尼娃尔 Kudusjan Anivar) but we won’t talk about that.

Surnames:

Usually 1 or 2 characters long

The Top 20 most common single word Chinese surnames in mainland China (in order):

Wang, Li, Zhang, Liu, Chen, Yang, Huang, Sun, Zhao, Wu, Zhou, Xu, Ma, Zhu, Hu, Guo, He, Gao, Luo, Lin

The Top 7 most common multiple word Chinese surnames in mainland China (in order):

Ouyang, Shangguan, Huangfu, Linghu, Zhuge, Situ, Sima

Each surname has history behind it. 

E.g. 王 Wang was actually the title used to refer to members of the royal family in ancient Chinese history. This includes calling the King "王" during the 3 kingdoms era, or calling a lord/prince "王爷" during the Qing dynasty for example. Therefore, the surname 王 was historically reserved for those in power and families of high social status.

E.g. two-word names potentially came from court titles

Naming customs include:

siblings having similar/matching names-- names of siblings or close relatives can be put together to achieve a deeper level of meaning. Sometimes even the names of family members through generations could be matching or similar, like with only 1 character difference

naming based on family symbols/motifs-- this refers to names associated with the town or birthplace, etc.

naming with particular meaning-- this is often derived from literature or poetry, the latter being a huge inspiration for names. Names can also describe the person's personality

Gendered names:

They do exist in Chinese. Certain characters with associated meanings may have gender connotations associated with them

It's all very stereotypical, but most commonly names with "feminine" words such as 美 (mei = beauty), 花 (hua = flower), 婷 (ting = gracefulness) are used for females, while "masculine" words like 力 (li = strength), 俊 (jun = handsome), 宏 (hong = grand) are used for males

Non-gendered/unisex names exist too. Words such as 明 (ming = bright)，雨 (yu = rain)，云 (yun = cloud)，南 (nan = South)，嘉 (jia = good, delightful) can sound unisex

Aside from this, also keep in mind:

The sound of the name plays a very significant role. A good name needs to flow when said aloud and have a nice ring to it.

A lot of names might sound "old fashioned" or "outdated"

Many Chinese words have the same pronunciation but different meanings, so it's important to make sure the name doesn't accidentally end up sounding like something it's not supposed to sound like e.g. 梅潜 (mei qian = pronounced the same as 没钱 which means no money)

I am currently writing a document detailing more cultural aspects including naming conventions, place names, customs and traditions, brief folklore and genres of Chinese fiction-- I go into a bit more detail in there. I'm gauging interest at the moment-- let me know if this would be of interest to you and I will endeavour to complete it sometime!!!

I hope this was helpful! Please feel free to ask me any more questions!

[dramaddict-and-proud-of-it]

Arsenal Military Academy

Year : 2019 | Country : CN | Nb of episodes: 48

My rate: 9/10

Synopsis :

In the early years of the 20th century, Chinese military forces find themselves locked in a drawn-out, bloody conflict as they fight back again the Imperial Japanese army.

The government drafts young male conscripts to defend the besieged northeast of the country – but a woman named Xie Xiang also wants in on the action. She decides to cut her hair short and assume her brother’s identity in a bid to join the Chinese army. Xie Xiang quickly proves herself more than capable in soldiery, and soon wins herself a place in an elite military academy in Shanghai.

At the academy, she befriends a number of young male recruits, including quarrelsome rich kid Gu Yan Zheng and the gentle and introverted Shen Jun San. As the recruits begin to hone their skills, they grow in confidence – and decide to take measures of their own in an attempt to foil the invading forces.

But their struggle becomes more complicated when both Gu Yan Zheng and Shen Jun San begin to develop feelings for Xie Xiang. Will the comrades-in-arms survive the bitter ravages of military conflict? Will love derail Xie Xiang’s quest for justice? And will all really prove fair in love and war?

Main cast :

Bai Lu as Xie Xiang / Xie Liang Chen

Xu Kai as Gu Yan Zhen

Toby Lee as Shen Jun Shan

Wu Jia Yi as Qu Man Ting

My thoughts on this drama :

This is one of these dramas that make expectations for future ones extremely high…Because it is extremely good. Who cares about actual romance, gimme some heartfelt bromance instead! Almost everything was on point. I say almost because they had to use some overused tropes... Like political corruption... But considering the story, it was logical, just annoying. Bai Lu and Xu Kai once more showed their absolutely adorable chemistry. And damn! Xu Kai is so expressive, how does one even do that with one's face muscles?? His face is an open book, absolutely incredible. The story is superbly written, and if you manage not to be bothered by the very obvious Chinese propaganda and anti-Japanese discourses, you'll really enjoy the 48 episodes. For once, I did not think it was too much. A story that is that level of complex needs many episodes to untangle all plot lines. Considering that the actors are all pretty young (between 25 and 30 years old), I must say they all played their part perfectly. It is impossible not to get attached, even to the ever so annoying and clingy Manting (with the exception of Miss Zhitian maybe). If you are looking for intense romance though, well, try elsewhere. There are some background romances, but it's pretty lowkey, and the interactions are toned down. The few displayed scenes were beautiful though, very touching. The sets, the costumes, and the way it was filmed, with that slightly yellowish filter, it gave this drama a breathtaking authenticity. It was like jumping right in the past, and seeing the events unfold, one by one. There was joy, pain, laughter, tears, smiles, anger...It's an emotionally packed drama, and I loved every second of it. Now to find something at least as good... If you're hesitating because of the 'girl disguising as a boy' trope, then don't, really. Bai Lu actually pulls it off. She managed to give that tomboyish vibe and made her character very believable. Ouch, my hands are still sore from clapping too hard at the end of the final episode... I highly recommend this drama, really.

A Favorite ?

YES

[kdram-chjh]

Cdrama: The Unexpected Marriage (2024)

Gifs of Ending of cdrama "The Unexpected Marriage"

ENG SUB 【拂玉鞍 The Unexpected Marriage】 EP01 刘长生遇难被吕敬救下，吕敬巧妙化解刘长生的“刁难”（漆昱辰、吴俊霆）

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

[eyenaku]

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

[aylinaliens]

time and him are just right (2022) | episode 1

Mom, I’m home

[drmikewatts]

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 8, August 2024

1) Memory Prompt for Spatiotemporal Transformer Visual Object Tracking

Author(s): Tianyang Xu;Xiao-Jun Wu;Xuefeng Zhu;Josef Kittler

Pages: 3759 - 3764

2) A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence

Author(s): Justus Renkhoff;Ke Feng;Marc Meier-Doernberg;Alvaro Velasquez;Houbing Herbert Song

Pages: 3765 - 3779

3) A Comprehensive Survey on Graph Summarization With Graph Neural Networks

Author(s): Nasrin Shabani;Jia Wu;Amin Beheshti;Quan Z. Sheng;Jin Foo;Venus Haghighi;Ambreen Hanif;Maryam Shahabikargar

Pages: 3780 - 3800

4) A Survey on Neural Network Hardware Accelerators

Author(s): Tamador Mohaidat;Kasem Khalil

Pages: 3801 - 3822

5) Efficient Structure Slimming for Spiking Neural Networks

Author(s): Yaxin Li;Xuanye Fang;Yuyuan Gao;Dongdong Zhou;Jiangrong Shen;Jian K. Liu;Gang Pan;Qi Xu

Pages: 3823 - 3831

6) A Perceptual Computing Approach for Learning Interpretable Unsupervised Fuzzy Scoring Systems

Author(s): Prashant K. Gupta;Deepak Sharma;Javier Andreu-Perez

Pages: 3832 - 3844

7) Octant Spherical Harmonics Features for Source Localization Using Artificial Intelligence Based on Unified Learning Framework

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Rajesh M. Hegde

Pages: 3845 - 3857

8) Additive Noise Model Structure Learning Based on Spatial Coordinates

Author(s): Jing Yang;Ting Lu;Youjie Zhu

Pages: 3858 - 3871

9) Securing User Privacy in Cloud-Based Whiteboard Services Against Health Attribute Inference Attacks

Author(s): Abdur R. Shahid;Ahmed Imteaj

Pages: 3872 - 3885

10) Complexity-Driven Model Compression for Resource-Constrained Deep Learning on Edge

Author(s): Muhammad Zawish;Steven Davy;Lizy Abraham

Pages: 3886 - 3901

11) A Deep Learning-Based Cyber Intrusion Detection and Mitigation System for Smart Grids

Author(s): Abdulaziz Aljohani;Mohammad AlMuhaini;H. Vincent Poor;Hamed M. Binqadhi

Pages: 3902 - 3914

12) Proximal Policy Optimization With Advantage Reuse Competition

Author(s): Yuhu Cheng;Qingbang Guo;Xuesong Wang

Pages: 3915 - 3925

13) Self-Supervised Forecasting in Electronic Health Records With Attention-Free Models

Author(s): Yogesh Kumar;Alexander Ilin;Henri Salo;Sangita Kulathinal;Maarit K. Leinonen;Pekka Marttinen

Pages: 3926 - 3938

14) quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method

Author(s): Snehanshu Saha;Jyotirmoy Sarkar;Soma S. Dhavala;Preyank Mota;Santonu Sarkar

Pages: 3939 - 3950

15) An Attention Augmented Convolution-Based Tiny-Residual UNet for Road Extraction

Author(s): Parmeshwar S. Patil;Raghunath S. Holambe;Laxman M. Waghmare

Pages: 3951 - 3964

16) Encoder–Decoder Calibration for Multimodal Machine Translation

Author(s): Turghun Tayir;Lin Li;Bei Li;Jianquan Liu;Kong Aik Lee

Pages: 3965 - 3973

17) Improving Source Tracking Accuracy Through Learning-Based Estimation Methods in SH Domain: A Comparative Study

Author(s): Priyadarshini Dwivedi;Gyanajyoti Routray;Devansh Kumar Jha;Rajesh M. Hegde

Pages: 3974 - 3984

18) Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

Author(s): Amirhossein Ravari;Seyede Fatemeh Ghoreishi;Mahdi Imani

Pages: 3985 - 4000

19) X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams

Author(s): Md Meftahul Ferdaus;Tanmoy Dam;Sameer Alam;Duc-Thinh Pham

Pages: 4001 - 4012

20) Focal Transfer Graph Network and Its Application in Cross-Scene Hyperspectral Image Classification

Author(s): Haoyu Wang;Xiaomin Liu

Pages: 4013 - 4025

21) An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection

Author(s): Kun Zhu;Nana Zhang;Weiping Ding;Changjun Jiang

Pages: 4026 - 4041

22) A New Causal Inference Framework for SAR Target Recognition

Author(s): Jiaxiang Liu;Zhunga Liu;Zuowei Zhang;Longfei Wang;Meiqin Liu

Pages: 4042 - 4057

23) Distributed Optimal Formation Control of Multiple Unmanned Surface Vehicles With Stackelberg Differential Graphical Game

Author(s): Kunting Yu;Yongming Li;Maolong Lv;Shaocheng Tong

Pages: 4058 - 4073

24) Boundary-Aware Uncertainty Suppression for Semi-Supervised Medical Image Segmentation

Author(s): Congcong Li;Jinshuo Zhang;Dongmei Niu;Xiuyang Zhao;Bo Yang;Caiming Zhang

Pages: 4074 - 4086

25) Deep Transfer Learning for Detecting Electric Vehicles Highly Correlated Energy Consumption Parameters

Author(s): Zeinab Teimoori;Abdulsalam Yassine;Chaoru Lu

Pages: 4087 - 4100

26) Self-Bidirectional Decoupled Distillation for Time Series Classification

Author(s): Zhiwen Xiao;Huanlai Xing;Rong Qu;Hui Li;Li Feng;Bowen Zhao;Jiayi Yang

Pages: 4101 - 4110

27) Context-Aware Self-Supervised Learning of Whole Slide Images

Author(s): Milan Aryal;Nasim Yahya Soltani

Pages: 4111 - 4120

28) CTRL: Clustering Training Losses for Label Error Detection

Author(s): Chang Yue;Niraj K. Jha

Pages: 4121 - 4135

29) Remote Sensing Image Semantic Segmentation Based on Cascaded Transformer

Author(s): Falin Wang;Jian Ji;Yuan Wang

Pages: 4136 - 4148

30) Text-Guided Portrait Image Matting

Author(s): Yong Xu;Xin Yao;Baoling Liu;Yuhui Quan;Hui Ji

Pages: 4149 - 4162

31) An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT

Author(s): Chong Ma;Zihao Wu;Jiaqi Wang;Shaochen Xu;Yaonai Wei;Zhengliang Liu;Fang Zeng;Xi Jiang;Lei Guo;Xiaoyan Cai;Shu Zhang;Tuo Zhang;Dajiang Zhu;Dinggang Shen;Tianming Liu;Xiang Li

Pages: 4163 - 4175

32) Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control

Author(s): Zilong Cheng;Jun Ma;Wenxin Wang;Zicheng Zhu;Clarence W. de Silva;Tong Heng Lee

Pages: 4176 - 4191

33) Adaptive Iterative Learning Control for Nonlinear Multiagent Systems With Initial Error Compensation

Author(s): Zhiqiang Li;Qi Zhou;Yang Liu;Hongru Ren;Hongyi Li

Pages: 4192 - 4201

34) Enhance Adversarial Robustness via Geodesic Distance

Author(s): Jun Yan;Huilin Yin;Ziming Zhao;Wancheng Ge;Jingfeng Zhang

Pages: 4202 - 4216

35) Shapley Value-Based Approaches to Explain the Quality of Predictions by Classifiers

Author(s): Guilherme Dean Pelegrina;Sajid Siraj

Pages: 4217 - 4231

36) Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning

Author(s): Zunayed Mahmud;Paul Hungler;Ali Etemad

Pages: 4232 - 4246

37) Model-Based Online Adaptive Inverse Noncooperative Linear-Quadratic Differential Games via Finite-Time Concurrent Learning

Author(s): Jie Lin;Huai-Ning Wu

Pages: 4247 - 4257

38) Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks

Author(s): Muhammad Anwar Ma'sum;MD Rasel Sarkar;Mahardhika Pratama;Savitha Ramasamy;Sreenatha Anavatti;Lin Liu;Habibullah Habibullah;Ryszard Kowalczyk

Pages: 4258 - 4268

39) Distilled Gradual Pruning With Pruned Fine-Tuning

Author(s): Federico Fontana;Romeo Lanzino;Marco Raoul Marini;Danilo Avola;Luigi Cinque;Francesco Scarcello;Gian Luca Foresti

Pages: 4269 - 4279

40) Multiagent Hierarchical Deep Reinforcement Learning for Operation Optimization of Grid-Interactive Efficient Commercial Buildings

Author(s): Zhiqiang Chen;Liang Yu;Shuang Zhang;Shushan Hu;Chao Shen

Pages: 4280 - 4292

41) Feedback Generative Adversarial Network With Channel-Space Attention for Image-Based Optimal Path Search Planning

Author(s): Tao Sun;Jian-Sheng Li;Yi-Fan Zhang;Xin-Feng Ru;Ke Wang

Pages: 4293 - 4307

[ericayuwenhuang]

Here is where we meet

Here is where we meet 2023/06/29-10/15 Venue: Chiayi Art Museum 1F-3F Supervisors：Ministry of Culture, Chiayi City Government Organizers：Chiayi Art Museum, Tianmei Art Foundation Collaborators：TKG+, Mind Set Art Center, Each Modern Curator：Erica Yu-Wen Huang Artists：Wang Po-Yen, Wu Chuan-Lun, Lin Yi-Hsuan, Lin Ying-Chieh, Chiu Chen-Hung, Chang Chih-Chung, Zhang Xu-Zhan, Chang Cheng-Chun, Chuang Ho, Kuo Yu-Ping, Chen I-Chun, Chen Sung-Chih, Chen Ching-Yuan, Chen Ching-Ming, Huang Chih-Cheng, Liao Chi-Yu, Liu Chih-Hung, Cheng Nung-Hsuan, Jian Yi-Hong, Lo Yi-Chun Archive Room - Participating Artists：Ding Chien-Chung, Niu Jun-Qiang, Wang Po-Yen, Shih Meng-Hsin, Wu Chuan-Lun, Li Yi-Fan, Li Ting-Huan, Lin Hao-Bai, Lin Yi-Wei, Lin Ying-Chieh, Chiu Chen-Hung, Chiu Chien-Jen, Hung Sheng-Hsiung, Hsu Yin-Ling, Shiu Sheng-Hung, Chang Chih-Chung, Zhang Xu-Zhan, Chang Cheng-Chun, Chang San-Hsueh, Chuang Ho, Kuo I-Chen, Kuo Yu-Ping, Chen I-Chun, Chen Sung-Chih, Chen Kuan-Ying, Chen Fei-Hao, Chen Ching-Yuan, Chen Ching-Ming, Huang Chih-Cheng, Huang Xuan, Yang Han-Chiao, Liao Chi-Yu, Liao Zen-Ping, Liu Chih-Hung, Liu Feng-Ling, Cheng Nung-Hsuan, Ou Jing-Yun, Hsieh Jhou-Yu, Jhong Jiang-Ze, Lo Chan-Peng, Luo Jr-Shin, Lo Yi-Chun