Research Assistant
Department of Computer Science and Technology, Tsinghua University
tangc [AT] tsinghua [DOT] edu [DOT] cn / tangchen18 [AT] outlook [DOT] com
[Google Scholar] [OpenReview] [LinkedIn] [GitHub]
I am currently a research assistant in the Department of Computer Science and Technology at Tsinghua University, working with Prof. Wenwu Zhu, Prof. Zhi Wang, and Prof. Yuan Meng. I will be joining Multimedia Laboratory (MMLab), The Chinese University of Hong Kong as a Ph.D. student, co-supervised by Prof. Wanli Ouyang and Prof. Xiangyu Yue. I received my Master's degree in Computer Technology from Tsinghua University, advised by Prof. Zhi Wang. My research interests are in AI for science, efficient learning, multimodal learning, and generative learning.
I was a visiting student at AIoT Lab, Institute for AI Industry Research (AIR) at Tsinghua University, working with Prof. Yuanchun Li and Prof. Yunxin Liu. Prior to that, I spent a wonderful year as a research intern in the System and Networking Research Group at Microsoft Research Asia, working with Dr. Li Lyna Zhang. I also was a visiting student of Peng Cheng National Laboratory (PCL). I have served as a reviewer for CVPR, ECCV, ICLR, ACM Multimedia, and NeurIPS.
[2024/02] Two paper got accepted to CVPR 2024 and ICLR 2024 PML4LRS Workshop, respectively.
[2023/07] Two papers got accepted to ICCV 2023 and ACM Multimedia 2023, respectively.
[2023/06] One paper got accepted to ECML-PKDD 2023.
[2023/06] I earned my Master's degree along with the Distinguished Master's Thesis Award!
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
Chen Tang*, Yuan Meng*, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu
[CVPR'24] IEEE Conference on Computer Vision and Pattern Recognition, 2024
[PDF]
[Supp]
[Code]
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin
Regularization
Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Yuan Meng, Zhi Wang, Wenwu Zhu
[ACM MM'23] ACM International Conference on Multimedia, 2023
[PDF]
[Poster]
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse
Mobile Devices
Chen Tang*, Li Lyna Zhang*, Huiqiang Jiang, Jiahang
Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
[ICCV'23] International Conference on Computer Vision, 2023
[PDF]
[Supp]
[Poster]
[Code]
Mixed-Precision Network Quantization via Learned Layer-wise Importance
Chen Tang*, Kai Ouyang*, Zhi Wang, Yifei Zhu, Wen Ji,
Yaowei Wang, Wenwu Zhu
[ECCV'22] European Conference on Computer Vision, 2022
[PDF]
[Supp]
[Project]
[Poster]
[Code]
Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference
Approach
Chen Tang, Haoyu Zhai, Kai Ouyang, Zhi Wang, Yifei Zhu, Wenwu Zhu
[ACM MM'22] ACM International Conference on Multimedia, 2022
[PDF]
TMPQ-DM: Joint Timestep Reduction and Quantization Precision
Selection for Efficient Diffusion Models
Haojun Sun*, Chen Tang*, Zhi Wang, Yuan Meng, Jingyan Jiang, Xinzhu Ma, Wenwu Zhu
Preprint, 2024
[PDF]
Investigating the Impact of Quantization on Adversarial Robustness
Qun Li, Yuan Meng, Chen Tang, Jiacheng Jiang, Zhi Wang
[ICLR PML4LRS'24] International Conference on Learning Representations (Workshop on Practical ML for Limited Resource Settings), 2024
[PDF]
Knowledge Soft Integration for Multimodal Recommendation
Kai Ouyang*, Chen Tang*, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-tao Zheng, Zhi Wang
Preprint, 2023
[PDF]
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate
Estimation
Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-tao Zheng
[ECML-PKDD'23] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023 [PDF] [Code]
Social-aware Sparse Attention Network for Session-based Social Recommendation
Kai Ouyang, Xianghong Xu, Chen Tang, Wang Chen, Hai-tao Zheng
[Findings of EMNLP'22] Findings of Conference on Empirical Methods in Natural Language Processing, 2022 [PDF]
Distinguished Master's Thesis Award, Tsinghua University, 2023
Internship Award (Second Prize), Tsinghua University, 2023
First Prize Scholarship (Huiyan Scholarship), Tsinghua University, 2022
Star of Tomorrow Excellent Internship Award, Microsoft Research Asia, 2022
Merit Undergraduate Student, 2019
Outstanding Undergraduate Student, 2018
Code from Han Hu