September 20, 2025 at 12:21 AM
November 19, 2025 at 7:00 AM
February 23, 2026 at 1:41 AM
Shang Chao is not Nice.
(But why are his dreams full of falling? Why does he want to kiss his brother's boyfriend? Why does he remember- - - - - ?)
#tbhx #tbhxfanfic #wrice #ShangChao #NiceTbhx
(But why are his dreams full of falling? Why does he want to kiss his brother's boyfriend? Why does he remember- - - - - ?)
#tbhx #tbhxfanfic #wrice #ShangChao #NiceTbhx
archiveofourown.org
December 13, 2025 at 5:30 AM
Shang Chao is not Nice.
(But why are his dreams full of falling? Why does he want to kiss his brother's boyfriend? Why does he remember- - - - - ?)
#tbhx #tbhxfanfic #wrice #ShangChao #NiceTbhx
(But why are his dreams full of falling? Why does he want to kiss his brother's boyfriend? Why does he remember- - - - - ?)
#tbhx #tbhxfanfic #wrice #ShangChao #NiceTbhx
#Shangdynasty (Chinese: #商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the 2nd
February 24, 2026 at 10:55 PM
#Shangdynasty (Chinese: #商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the 2nd
i'm glad i'm not alone in wanting chaocheng(?) and chaochengqing after the nuclear bomb that was tbhx ep 6
Broken: A Multi-Fandom Angst Week Day 2
⚡️ love triangle
⚡️ sc/xq/yc
⚡️ pining
⚡️ unrequited crushes
@angstweek2025.bsky.social #angstweek2025 #tobeherox #tbhx #yangcheng #xiaqing #shangchao
Broken: A Multi-Fandom Angst Week Day 2
⚡️ love triangle
⚡️ sc/xq/yc
⚡️ pining
⚡️ unrequited crushes
@angstweek2025.bsky.social #angstweek2025 #tobeherox #tbhx #yangcheng #xiaqing #shangchao
May 12, 2025 at 12:41 PM
i'm glad i'm not alone in wanting chaocheng(?) and chaochengqing after the nuclear bomb that was tbhx ep 6
Broken: A Multi-Fandom Angst Week Day 2
⚡️ love triangle
⚡️ sc/xq/yc
⚡️ pining
⚡️ unrequited crushes
@angstweek2025.bsky.social #angstweek2025 #tobeherox #tbhx #yangcheng #xiaqing #shangchao
Broken: A Multi-Fandom Angst Week Day 2
⚡️ love triangle
⚡️ sc/xq/yc
⚡️ pining
⚡️ unrequited crushes
@angstweek2025.bsky.social #angstweek2025 #tobeherox #tbhx #yangcheng #xiaqing #shangchao
#Shangdynasty (Chinese: #商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the 2nd millennium BC, traditionally succeeding the Xia dynasty and followed by the Western Zhou
April 19, 2026 at 5:10 PM
#Shangdynasty (Chinese: #商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the 2nd millennium BC, traditionally succeeding the Xia dynasty and followed by the Western Zhou
Special Issue 2026: Shangchao Min, Zhuohan Hou, and Yanxin Wang evaluate speaking performance in paired discussions with LLM and human interlocuters. Available OnlineFirst: doi.org/10.1177/0265...
July 30, 2026 at 3:36 PM
Special Issue 2026: Shangchao Min, Zhuohan Hou, and Yanxin Wang evaluate speaking performance in paired discussions with LLM and human interlocuters. Available OnlineFirst: doi.org/10.1177/0265...
Special Issue 2026: Lianzhen He, Shangchao Min, and Min Wang articulate their rationale for spearheading the Language Testing 2026 Special Issue on LLMs in speaking assessment. Available OnlineFirst: doi.org/10.1177/0265...
July 30, 2026 at 3:38 PM
Special Issue 2026: Lianzhen He, Shangchao Min, and Min Wang articulate their rationale for spearheading the Language Testing 2026 Special Issue on LLMs in speaking assessment. Available OnlineFirst: doi.org/10.1177/0265...
Special Issue 2026: Jing Xu, Lynda Taylor, Xiaoming Xi, Yasin Karatay, Shangchao Min, and Carsten Roever summarize last year’s highly-attended LTRC 2025 debate over replacing human interviewers with AI agents. Available OnlineFirst: doi.org/10.1177/0265...
July 30, 2026 at 3:37 PM
Special Issue 2026: Jing Xu, Lynda Taylor, Xiaoming Xi, Yasin Karatay, Shangchao Min, and Carsten Roever summarize last year’s highly-attended LTRC 2025 debate over replacing human interviewers with AI agents. Available OnlineFirst: doi.org/10.1177/0265...
Now in Language Testing Journal: a debate on AI-driven spoken dialog systems in tests.
journals.sagepub.com/doi/full/10....
journals.sagepub.com/doi/full/10....
Can an AI Agent Replace Human Examiners in High-Stakes Interactive Speaking Tests? A Debate - Jing Xu, Lynda Taylor, Xiaoming Xi, Yasin Karatay, Shangchao Min, Carsten Roever, 2026
Generative artificial intelligence (GenAI) is advancing at a remarkable speed, and its promise in transforming current practice in language assessment has been ...
journals.sagepub.com
July 26, 2026 at 11:04 AM
Now in Language Testing Journal: a debate on AI-driven spoken dialog systems in tests.
journals.sagepub.com/doi/full/10....
journals.sagepub.com/doi/full/10....
Hongbo Li, Shangchao Yang, Ruiyang Xia, Lin Yuan, Xinbo Gao: Big Brother is Watching: Proactive Deepfake Detection via Learnable Hidden Face https://arxiv.org/abs/2504.11309 https://arxiv.org/pdf/2504.11309 https://arxiv.org/html/2504.11309
April 16, 2025 at 6:12 AM
Hongbo Li, Shangchao Yang, Ruiyang Xia, Lin Yuan, Xinbo Gao: Big Brother is Watching: Proactive Deepfake Detection via Learnable Hidden Face https://arxiv.org/abs/2504.11309 https://arxiv.org/pdf/2504.11309 https://arxiv.org/html/2504.11309
Yanxin Wang & Shangchao Min used the COSMIN Checklist in their review of human–machine correlations for automated speech evaluation. doi.org/10.1177/0265...
April 8, 2026 at 9:18 AM
Yanxin Wang & Shangchao Min used the COSMIN Checklist in their review of human–machine correlations for automated speech evaluation. doi.org/10.1177/0265...
#Shangdynasty (Chinese: 商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the 2nd millenn
May 1, 2026 at 2:02 PM
#Shangdynasty (Chinese: 商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the 2nd millenn
#Shangdynasty (Chinese: 商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the second millennium BC, traditionally succeed g the Xia
August 16, 2025 at 9:07 PM
#Shangdynasty (Chinese: 商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled in the Yellow River valley during the second millennium BC, traditionally succeed g the Xia
#Shangdynasty (Chinese: 商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled
August 9, 2025 at 3:34 AM
#Shangdynasty (Chinese: 商朝; pinyin: Shāngcháo), also known as the Yin dynasty (殷代; Yīn dài), was a Chinese royal dynasty that ruled
Yu Li, Shang Qu, Jili Shen, Shangchao Min, Zhou Yu
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
https://arxiv.org/abs/2309.16804
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
https://arxiv.org/abs/2309.16804
August 6, 2024 at 10:02 AM
Yu Li, Shang Qu, Jili Shen, Shangchao Min, Zhou Yu
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
https://arxiv.org/abs/2309.16804
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
https://arxiv.org/abs/2309.16804
Hongbo Li, Shangchao Yang, Ruiyang Xia, Lin Yuan, Xinbo Gao
Big Brother is Watching: Proactive Deepfake Detection via Learnable Hidden Face
https://arxiv.org/abs/2504.11309
Big Brother is Watching: Proactive Deepfake Detection via Learnable Hidden Face
https://arxiv.org/abs/2504.11309
April 16, 2025 at 7:11 AM
Hongbo Li, Shangchao Yang, Ruiyang Xia, Lin Yuan, Xinbo Gao
Big Brother is Watching: Proactive Deepfake Detection via Learnable Hidden Face
https://arxiv.org/abs/2504.11309
Big Brother is Watching: Proactive Deepfake Detection via Learnable Hidden Face
https://arxiv.org/abs/2504.11309
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models
https://arxiv.org/abs/2407.19953
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models
https://arxiv.org/abs/2407.19953
July 30, 2024 at 2:31 PM
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models
https://arxiv.org/abs/2407.19953
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models
https://arxiv.org/abs/2407.19953
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
https://arxiv.org/abs/2305.04063
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
https://arxiv.org/abs/2305.04063
June 13, 2024 at 2:32 PM
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
https://arxiv.org/abs/2305.04063
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
https://arxiv.org/abs/2305.04063
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
One-Shot Federated Learning with Classifier-Guided Diffusion Models. (arXiv:2311.08870v1 [cs.CV])
http://arxiv.org/abs/2311.08870
One-Shot Federated Learning with Classifier-Guided Diffusion Models. (arXiv:2311.08870v1 [cs.CV])
http://arxiv.org/abs/2311.08870
November 16, 2023 at 4:04 AM
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
One-Shot Federated Learning with Classifier-Guided Diffusion Models. (arXiv:2311.08870v1 [cs.CV])
http://arxiv.org/abs/2311.08870
One-Shot Federated Learning with Classifier-Guided Diffusion Models. (arXiv:2311.08870v1 [cs.CV])
http://arxiv.org/abs/2311.08870
Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao: Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning https://arxiv.org/abs/2508.19621 https://arxiv.org/pdf/2508.19621 https://arxiv.org/html/2508.19621
August 28, 2025 at 6:33 AM
Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao: Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning https://arxiv.org/abs/2508.19621 https://arxiv.org/pdf/2508.19621 https://arxiv.org/html/2508.19621