Chen Tang 唐辰

Ph.D. student, MMLab, The Chinese University of Hong Kong

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Portrait of Chen Tang

Short bio

I am 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, and received Tsinghua University's Distinguished Master's Thesis Award.

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

Research, publications, and community activities.

  1. We are organizing the UniWorld workshop on universal representations for perception, reasoning, and world modeling at ECCV 2026.

  2. One paper was accepted to ICML 2026.

  3. Four papers were accepted to CVPR 2026.

  4. One paper was accepted to ICLR 2026.

  5. We released a technical report on a scientific reasoning LLM, featured on Hugging Face Daily Papers, and a comprehensive survey of scientific LLMs, available in this repository.

  6. One paper was accepted to NeurIPS 2025.

Earlier news

  1. One paper was accepted to IEEE TPAMI.

  2. Two papers were accepted to ACM Multimedia 2025.

  3. Two papers were accepted to ICCV 2025 and IEEE TMM, respectively.

  4. Two papers were accepted to IEEE TVCG and ICME 2025, respectively.

  5. Three papers were accepted to CVPR 2025.

  6. Two papers were accepted to IEEE TMC and AAAI 2025, respectively.

  7. One paper was accepted to ECCV 2024.

  8. Two papers were accepted to CVPR 2024 and the ICLR 2024 PML4LRS Workshop, respectively.

  9. Three papers were accepted to ICCV 2023, ECML-PKDD 2023, and ACM Multimedia 2023, respectively.

  10. I received my Master's degree and the Distinguished Master's Thesis Award.

Selected publications

* Equal contribution
# Corresponding author

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  • Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning
    Chen Tang*, Yizhou Wang*, Jianyu Wu*, Lintao Wang*, Shixiang Tang, Pengze Li, Encheng Su, Jun Yao, Jiabei Xiao, Yuqi Shi, Jielan Li, Hongxia Hao, Zhangyang Gao, Fang Wu, Ben Fei, Xiangyu Yue, Pan Tan, Bozitao Zhong, Jinouwen Zhang, Aoran Wang, Yan Lu, Jiaheng Liu, Xinzhu Ma, Liang Hong, Mingyue Zheng, Phil Torr, Bowen Zhou, Wanli Ouyang, Lei Bai
    Preprint, 2026 [PDF] [Project]

  • Tail-Aware Post-Training Quantization for 3D Geometry Models
    Sicheng Pan*, Chen Tang*, 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, Chen Tang#, 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*, Chen Tang*, 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
    Chen Tang, 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*, Chen Tang*, 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
    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] [Poster] [Code]

  • 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] [Project] [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]

  • 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]

Experience

Research Intern · Remote

Shanghai Artificial Intelligence Laboratory

Research Assistant

Department of Computer Science and Technology, Tsinghua University

Research Intern

Institute for AI Industry Research, Tsinghua University

Research Intern

Microsoft Research Asia

Academic service

Reviewer & program committee

CVPR (2023–2026), ECCV (2022, 2024, 2026), ICCV (2025), ACM Multimedia (2024–2026), AAAI (2024), ICLR (2024–2026), NeurIPS (2023–2025), ICML (2025–2026), and ECAI (2023); Neural Networks, TMLR, and IEEE Transactions on Big Data.

IEEE Standards Association

Member of the IEEE C/DC 3161 Working Group on IEEE Digital Retina Systems.

Selected awards

  • Best Paper AwardWAIC MMAS Workshop
  • Silver ReviewerICML
  • Best Paper NominationACM Multimedia
  • Distinguished Master's Thesis AwardTsinghua University
  • Internship Award · Second PrizeTsinghua University
  • First Prize Scholarship · Huiyan ScholarshipTsinghua University
  • Star of Tomorrow Excellent Internship AwardMicrosoft Research Asia