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Yi Lu

Master Student
Department of Computer Science, University of Toronto
tomlu@cs.toronto.edu


About Me

I am a recent graduate from the University of Toronto’s Master of Science in Applied Computing programme. My research interests lies broadly in Multi-Modal Language Model, Reinforcement Learning, Agentic MLLMs and Generative AI.

Currently I am working as a part-time research intern at Texas A&M University under the supervision of Prof. Yu Zhang, with the topic of LLM Agents. During my master’s study, I served as a full-time co-op applied research intern at ModiFace (L’Oréal’s AI Lab) focusing on controllable video generation. Prior to that, I worked as a part-time research intern in TIGER Lab under the supervision of Prof. Wenhu Chen focused on Agentic-RL based Tool-calling LLMs. I was fortunate to work under the supervision of the wonderful Jiawang Cao and Wenbo Zhu during my research internship at Opus AI Research, where I worked on Multimodal Reasoning and MLLM Benchmarking, with two papers published in top conferences.

I am actively seeking research collaborations and research internship opportunities in MLLM Post Training, Multimodality RL and Controllable Image/Video Generation.

🎓 I’m currently looking for a PhD position starting from 2026 fall in Hong Kong or the US, and full-time research internships starting from 2026 March. Feel free to contact me regarding any related opportunities. Here is my resume.

Research Interests

News

  • Dec. 2025
    🔥 VerlTool has reached 800+ stars on Github.
  • Nov. 2025
    🚀 Started my part-time research internship at Texas A&M University.
  • Oct. 2025
    🔥 VerlTool has reached 600+ stars on Github. It's becoming a key infrastructure for Tool-Augmented Agent RL Post Training.
  • Sep. 2025
    🎉 One paper accepted at NeurIPS 2025 NextVid Workshop.
  • Aug. 2025
    🤫 VerlTool's tech report (co-first author) is released.
  • Jul. 2025
    🏆 Achieved #1 on Multilingual Video Reasoning Evaluation Challenge @CVPR 2025.
  • May. 2025
    🎉 One paper is accepted by ACL 2025.
  • Feb. 2025
    🎉 One paper is accepted by CVPR 2025.
  • Dec. 2024
    🎉 One paper is accepted by AAAI 2025.
  • Oct. 2024
    🏆 Achieved #1 on Long-Term VideoQA Challenge of LOVEU Workshop @CVPR 2024.

Publications

  1. arXiv
    Dongfu Jiang*, Yi Lu*, Zhuofeng Li*, Zhiheng Lyu, Ping Nie, Haozhe Wang, Alex Su, Hui Chen, Kai Zou, Chao Du, Tianyu Pang, Wenhu Chen
    In Submission

  2. ACL
    Yi Lu*, Jiawang Cao*, Yongliang Wu*, Bozheng Li, Licheng Tang, Yangguang Ji, Chong Wu, Jay Wu, Wenbo Zhu
    Annual Meeting of the Association for Computational Linguistics (ACL), 2025.

  3. CVPR
    Bozheng Li, Yongliang Wu*, Yi Lu*, Jiashuo Yu, Licheng Tang, Jiawang Cao, Wenqing Zhu, Yuyang Sun, Jay Wu, Wenbo Zhu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

  4. AAAI
    Yongliang Wu*, Wenbo Zhu*, Jiawang Cao*, Yi Lu, Bozheng Li, Weiheng Chi, Zihan Qiu, Lirian Su, Haolin Zheng, Jay Wu, Xu Yang
    AAAI Conference on Artificial Intelligence (AAAI), 2025.

Experiences

  • Research Intern @ Texas A&M University
    Nov. 2025 - Present
  • Research Intern @ TIGER Lab @ University of Waterloo
    Mar. 2025 - Present
  • Applied Research Intern @ ModiFace (L'Oréal's AI Lab)
    May. 2025 - Present
  • Applied Research Intern @ Opus AI Research
    Jan. 2025 - May. 2025
  • Machine Learning Engineer @ OpusClip
    Apr. 2024 - Jan. 2025
  • Data Scientist Intern @ ByteDance
    Aug. 2023 - Dec. 2023

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Last Updated: October 2025


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