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Ruotong Liao

Ph.D. Student
LMU Munich & Munich Center of Machine Learning
ruotong.liao[at]outlook.com & liao[at]dbs.ifi.lmu.de


About Me

I am a Ph.D. student at LMU Munich supervised by Prof. Volker Tresp. I am an enthusiastic AI researcher in the field of Generative AI, foundational multi-modal models, and large language models, with a special focus on reasoning on temporal data such as videos, dynamic graphs, etc. Prior to my PhD, I finished my Bachelor’s at Beijing Institute of Technology (BIT) and my Master’s at Technical University of Munich (TUM) in Electrical Engineering. After that, I started my PhD program fully funded by Munich Center of Machine Learning (MCML), the German permanent AI center. I am awarded additional personal funding of 130,000 Euro from the German Ministry of Education and Research (BMBF) and German Aerospace Center (DLR), in collaboration with Huawei Munich Research Center aiming for supporting my research and cultivating me as the future tech lead.

Please reach out if you are interested in collaborations, master thesis, and research assistants!

Research Interests

News

Selected Awards

Publications

  1. NAACL 2024
    Ruotong Liao, Xu Jia, Yangzhe Li, Yunpu Ma, Volker Tresp
    In Findings of the Association for Computational Linguistics: NAACL 2024, pages 4303–4317, Mexico City, Mexico. Association for Computational Linguistics. (NAACL), 2024.

  2. NAACL 2024
    Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
    Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 1877–1895, Mexico City, Mexico. Association for Computational Linguistics.

  3. ECCV 2024
    Guangyao Zhai, Evin Pınar Örnek, Dave Zhenyu Chen, Ruotong Liao, Yan Di, Nassir Navab, Federico Tombari, Benjamin Busam
    European Conference on Computer Vision 2024

  4. ACL 2023
    Zhen Han*, Ruotong Liao*,Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp (*Equal Contribution)
    In Findings of the Association for Computational Linguistics: ACL 2023, pages 5433–5447, Toronto, Canada. Association for Computational Linguistics.

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Teaching

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