Chen Tang 唐辰
Ph.D. student, MMLab, The Chinese University of Hong Kong
chentang [AT] link.cuhk.edu.hk / tangchen18 [AT] outlook.com
Short Bio
I am currently a Ph.D. student at the Multimedia Laboratory (MMLab), The Chinese University of Hong Kong, co-supervised by Prof. Wanli Ouyang and Prof. Xiangyu Yue. Before joining CUHK, I was 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 received my Master's degree in Computer Technology from Tsinghua University, advised by Prof. Zhi Wang. I won the Distinguished Master's Thesis Award of Tsinghua.
My research interests are in AI for science, efficient learning, multimodal learning, and generative learning. Feel free to contact me if you are interested in my research.
News
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[2025/09] We have released two new works: (i) a technical report on a scientific reasoning LLM, featured on Huggingface DailyPaper and (ii) a comprehensive survey of scientific LLMs, available in this repo.
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[2025/09] One paper got accepted to NeurIPS 2025.
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[2025/08] One paper got accepted to IEEE TPAMI.
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[2025/07] Two papers got accepted to ACM Multimedia 2025.
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[2025/06] Two papers got accepted to ICCV and IEEE TMM, respectively.
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[2025/03] Two papers got accepted to IEEE TVCG and ICME 2025, respectively.
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[2025/02] Three papers got accepted to CVPR 2025. See you in Nashville!
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[2024/12] Two papers got accepted to IEEE TMC and AAAI 2025, respectively.
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[2024/07] One paper got accepted to ECCV 2024.
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[2024/02] Two papers got accepted to CVPR 2024 and ICLR 2024 PML4LRS Workshop, respectively.
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[2023/07] Three papers got accepted to ICCV 2023, ECML-PKDD 2023, and ACM Multimedia 2023, respectively.
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[2023/06] I earned my Master's degree along with the Distinguished Master's Thesis Award!
Selected Publications and Preprints
[Sort by year] [Sort by authorship] [Full Publications] (*: Equal contribution, #: Corresponding author)-
Tail-Aware Post-Training Quantization for 3D Geometry Models
Sicheng Pan*, , Shuzhao Xie*, Yang Ke, Weixiang Zhang, Jiawei Li, Bin Chen, Shu-Tao Xia, Zhi Wang
Preprint, 2026 [PDF] -
SciIF: Benchmarking Scientific Instruction Following Towards Rigorous Scientific Intelligence
Encheng Su, Jianyu Wu, Lintao Wang, Pengze Li, Aoran Wang, Jinouwen Zhang, Yizhou Wang, Yuan Meng, , Xinzhu Ma, Shixiang Tang, Houqiang Li
Preprint, 2026 [PDF] [Code] -
SciReasoner: Laying the Scientific Language Ground across Disciplines
Science Center, Shanghai Artificial Intelligence Laboratory
Technical report, 2025 [PDF] [Model & Data] [Code] -
SizeGS: Size-aware Compression of 3D Gaussian Splatting via Mixed Integer Programming
Shuzhao Xie, Jiahang Liu, Weixiang Zhang, Shijia Ge, Sicheng Pan,
[ACM MM'25] ACM International Conference on Multimedia (Best Paper Nomination), 2025 [PDF] [Code] -
Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation using Knowledge Soft Integration
Kai Ouyang*, , Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-tao Zheng, Zhi Wang
[IEEE TMM] IEEE Transactions on Multimedia, 2025 [PDF] -
UniSTD: Towards Unified Spatio-Temporal Prediction across Diverse Disciplines
, Xinzhu Ma, Encheng Su, Xiufeng Song, Xiaohong Liu, Wei-Hong Li, Lei Bai, Wanli Ouyang, Xiangyu Yue
[CVPR'25] IEEE Conference on Computer Vision and Pattern Recognition, 2025 [PDF] [Code] -
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference
Ye Li*, , Yuan Meng, Jiajun Fan, Zenghao Chai, Xinzhu Ma, Zhi Wang, Wenwu Zhu
[IEEE TPAMI] IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 [PDF] [Code] -
RFQuant: Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
, 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] [Poster] [Code] -
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models
Haojun Sun*, , Zhi Wang, Yuan Meng, Jingyan Jiang, Xinzhu Ma, Wenwu Zhu
Preprint, 2024 [PDF] [Project] [Code] -
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Yuan Meng, Zhi Wang, Wenwu Zhu
[ACM MM'23] ACM International Conference on Multimedia, 2023 [PDF] -
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
, 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
, 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
, Haoyu Zhai, Kai Ouyang, Zhi Wang, Yifei Zhu, Wenwu Zhu
[ACM MM'22] ACM International Conference on Multimedia, 2022 [PDF]
Experience
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Research Intern (Remote), Shanghai Artificial Intelligence Laboratory (Aug. 2024 -- Present)
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Research Assistant, Department of Computer Science and Technology, Tsinghua University (Aug. 2023 -- Jul. 2024)
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Research Intern, Institute for AI Industry Research, Tsinghua University (Nov. 2023 -- Apr. 2024)
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Research Intern, Microsoft Research Asia (Nov. 2022 -- Nov. 2023)
Services
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Reviewer (Program Committee): CVPR (2023, 2024, 2025, 2026), ECCV (2022, 2024), ICCV (2025), ACM Multimedia (2024, 2025), AAAI (2024), ICLR (2024, 2025, 2026), NeurIPS (2023, 2024, 2025), ICML (2025, 2026), ECAI (2023); Neural Networks
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IEEE Standards Association: Member of IEEE C/DC 3161 Working Group (IEEE Digital Retina Systems)
Selected Awards
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Best Paper Nomination, ACM Multimedia, 2025
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Distinguished Master's Thesis Award, Tsinghua University, 2023
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Internship Award (Second Prize), Tsinghua University, 2023
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First Prize Scholarship (Huiyan Scholarship), Tsinghua University, 2022
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Star of Tomorrow Excellent Internship Award, Microsoft Research Asia, 2022
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Merit Undergraduate Student, 2019
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Outstanding Undergraduate Student, 2018
Code from Han Hu