我是陈银,合肥工业大学(HFUT)信息与通信工程专业博士研究生。
目前研究方向为计算机视觉、多媒体情感计算、面部表情识别。如果您有任何 学术合作 的需求,欢迎邮件联系 chenyin@mail.hfut.edu.cn。
🔥 新闻动态
- 2025.10: 🎉 论文 Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data 被 TAFFC 接收
- 2025.09: 🎉 S2D 入选 Web of Science 高被引论文(Top 1%)
- 2024.09: 🎉 论文 DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation 被 MM2024 接收
- 2024.08: 🎉 论文 From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos 被 TAFFC 接收
📝 Publications
🎙Affective Computing

Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data
Yin Chen†, Jia Li, Yu Zhang, Zhenzhen Hu, Shiguang Shan, Meng Wang, Richang Hong*
- The offical implementation of the paper: “Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data”.
Generalizable Engagement Estimation in Conversation via Domain Prompting and Parallel Attention
Yangche Yu, Yin Chen, Jia Li, Peng Jia, Yu Zhang, Li Dai, Zhenzhen Hu, Meng Wang, Richang Hong
- The Winner’s Solution of MM 2025 Human Engagement Estimation Challenge.

DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation
Jia Li, Yangchen Yu, Yin Chen, Yu Zhang, Peng Jia, Yunbo Xu, Ziqiang Li, Meng Wang, Richang Hong
- The Winner’s Solution of MM 2024 Human Engagement Estimation Challenge.

From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
Yin Chen†, Jia Li†, Shiguang Shan, Meng Wang, Richang Hong
- The offical implementation of the paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos.
- ESI Highly Cited Paper (Top 1% in the field, updated to June 2025)

Multimodal feature extraction and fusion for emotional reaction intensity estimation and expression classification in videos with transformers
Jia Li*, Yin Chen*, Xuesong Zhang, Jiantao Nie, Ziqiang Li, Yangchen Yu, Yan Zhang, Richang Hong† ,Meng Wang
- The Winner’s Solution of CVPR2023-ABAW5 Emotional Reaction Intensity (ERI) Estimation Challenge.
🎖 荣誉与奖项
- 2023 CVPR Workshop ABAW5, 情感反应强度估计挑战赛冠军
- 2024 MM Workshop, 参与度估计挑战赛季军
- 2025 MM Workshop, 参与度估计挑战赛冠军
- 微软明日之星
- 合肥工业大学研究生一等奖学金 x3
- 合肥工业大学三好学生
- 合肥工业大学斛兵学子奖学金 x3
- 合肥工业大学优秀毕业生
- 合肥工业大学学业奖学金 x2
📖 教育经历
- 2022.09 - 至今, 博士, 合肥工业大学, 合肥
- 2018.09 - 2022.06, 本科, 合肥工业大学, 合肥
- 2015.09 - 2018.06, 浙江省春晖中学, 绍兴
💬 特邀报告
💻 实习经历
- 2021.12 - 2022.09, 微软亚洲研究院, 北京