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.
I study and build efficient AI systems that can understand and generate complex data across various modalities, with a particular focus on scientific data.
News
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[2026/02] Four papers got accepted to CVPR 2026.
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[2026/01] One paper got accepted to ICLR 2026.
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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
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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] -
Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation using Knowledge Soft Integration
Kai Ouyang*, *, Zenghao Chai, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, 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