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Shuhuai Ren (任抒怀)
Ph.D. Student
School of EECS
Peking University

About Me

I am a research scientist in Xiaomi MiMo. I was a PhD student at Language Computing and Machine Learning Group, School of CS, Peking University from 2020 to 2025, supervised by Prof. Xu Sun. Before joining PKU, I received BS in Software Engineering from Huazhong University of Science and Technology under the guidance of Prof. Kun He.

My research interests lie within (1) Vision-Language Foundation Models, (2) Understanding-Generation Unified Models.

News

  • [2025/06] One paper have been accepted by ICCV 2025.
  • [2025/02] Two papers has been accepted by CVPR 2025.
  • [2024/07] One paper has been accepted by ECCV 2024.
  • [2024/05] Two papers has been accepted by ACL 2024.
  • [2024/04] One paper has been accepted by NAACL 2024.
  • [2024/02] One paper has been accepted by CVPR 2024.
  • [2023/10] One paper has been accepted by EMNLP 2023.
  • [2023/09] Two papers have been accepted by NeurIPS 2023.
  • [2023/05] One paper has been accepted by ACL 2023.
  • [2021/08] Three papers have been accepted by EMNLP 2021.
  • [2021/05] One paper has been accepted by ACL 2021 as oral presentation.
  • [2019/05] One paper has been accepted by ACL 2019 as oral presentation.
  • [2019/02] I attended the Artificial Intelligence Winter Camp at The University of California, Berkeley and Stanford University.

Selected Publications (Full List)

Visual Understanding
MiMo-VL Technical Report
Shuhuai Ren (Core Contributor), et al
Arxiv 2025
Arxiv
Paper Code& Model
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
Shuhuai Ren*, Linli Yao*, Shicheng Li, Xu Sun, Lu Hou
CVPR 2024
Conference
Paper Code& Model
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding
Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou
Findings of EMNLP 2023 (Long Paper)
Conference
Paper Code& Model
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun
CVPR 2025 (Highlights)
Conference
Paper Code& Model
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun
NeurIPS 2023
Conference
Paper Code& Model
Visual Generation
Next Block Prediction: Video Generation via Semi-Autoregressive Modeling
Shuhuai Ren, Shuming Ma, Xu Sun, Furu Wei
Arxiv 2025
Arxiv
Paper Code& Model
Parallelized Autoregressive Visual Generation
Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu
CVPR 2025 (Highlights)
Conference
Paper Code& Model
TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng, Xihui Liu
ICCV 2025
Conference
Paper Code& Model

Education

Ph.D. in Computer Science, Peking University, Beijing, China
2020 - 2025
B.Eng. in Software Engineering, Huazhong University of Science and Technology, Wuhan, China
GPA: 3.95/4.00; Rank: 4/180
2016 - 2020

Selected Awards and Competitions

Peking University (PKU),  Sep. 2020 - Jul. 2025 (Expected)

  • National Scholarship, 2024
  • Merit Student Pacesetter, 2024
  • NeurIPS Scholar Award, 2023
  • The third Prize of Peking University Scholarship, 2020-21
  • Award for Scientific Research, 2020-22

    • Huazhong University of Science and Technology (HUST),  Sep. 2016 - Jul. 2020

  • Pacemaker to Merit Student (The highest honor of undergraduate students),  2017-18
  • National Scholarship of China,  2017-18
  • Outstanding Graduates of HUST,  2020
  • Outstanding Undergraduate Thesis,  2020
  • Baosteel Scholarship,  2019
  • Hainan Airlines Scholarship,  2016-17
  • American College Students Mathematical Modeling Competition (MCM/ICM), Honorable Mention,  2018

    • Academic Service

  • Reviewer/Program committee for conferences: CVPR (2025 Outstanding Reviewer Award), ICCV (2025), ICLR (2023-25), NeurIPS (2023-25), ICML (2025), ACL (2021 Outstanding Reviewer Award-23), EMNLP (2021-23), NAACL (2022-23)
  • Reviewer for journals: TPAMI, IJCV
  • Teaching assistant: Introduction to Natural Language processing (PKU, 2021 Fall), Artificial Intelligence Frontier and Industry Trends (PKU, 2022 Spring)

    • Work Experience

    TopSeed Intern
    Bytedance, Seed
    Advised by Haoyuan Guo and Lu Jiang
    Beijing, China
    Jul. 2024 - Dec. 2024
    Research Intern
    Microsoft, Research Lab Asia
    Advised by Shuming Ma
    Beijing, China
    Sep. 2023 - Jul. 2024
    Applied Scientist Intern
    Amazon Web Services, AI Research
    Advised by Aston Zhang and Yi Zhu
    San Francisco Bay Area, USA (remote)
    Aug. 2022 - Aug. 2023
    Research Intern
    Alibaba, DAMO Academy
    Advised by Junyang Lin and Hongxia Yang
    Beijing, China
    Aug. 2020 - Feb. 2021
    Research Intern
    Tencent, WeChat AI (WXG-PRC)
    Advised by Jinchao Zhang
    Beijing, China
    Oct. 2019 - Jun. 2020
    Research Intern
    HUST, John Hopcroft Lab for Data Science
    Advised by Kun He
    Wuhan, China
    Mar. 2018 - Oct. 2019

    Patents

  • 一种视频编码方法及其装置 [link]：任抒怀; 侯璐; 孙栩
  • 数据增广、业务处理方法、装置、计算机设备和存储介质 [link]：任抒怀; 张金超
  • 信息处理方法、装置、计算机可读存储介质和计算机设备 [link]：李磊; 林衍凯; 任抒怀; 李鹏; 周杰; 孙栩

    • Invited Talks

  • [2025/06] Hugging Face AI-Insight. MiMo-VL: From Pre-train to Post-train, [slides].
  • [2024/06] Microsoft Research Asia. Long Video Understanding Based on Large Language Models, [slides (in Chinese)].
  • [2023/12] Department of Mathematics, Houston University. Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition.
  • [2023/08] Noah's Ark Lab, Huawei. 开眼看世界: 大语言模型的视觉接口设计.
  • [2023/04] Shanghai AI Lab. Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition, [slides].
  • [2022/07] Noah's Ark Lab, Huawei. Delving into the Openness of CLIP, [slides (in Chinese)].
  • [2022/06] DAMO Academy, Alibaba. Delving into the Openness of CLIP.
  • [2021/10] Student Forums on Frontiers of Artificial Intelligence (SFFAI). Learning Relation Alignment for Calibrated Cross-modal Retrieval, [video (in Chinese)].

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