Suyuchen Wang (王苏羽晨)
Suyuchen Wang (王苏羽晨)

Ph.D. Candidate, Computer Science

Mila - Quebec AI Institute
Université de Montréal

About Me

Suyuchen Wang is a Ph.D. candidate at Mila, Quebec AI Institute, focusing on advancing Natural Language Processing and Large Language Models. His research includes exploring efficient long sequence modeling techniques and enhancing the performance of LLMs through innovative approaches. He collaborates under the supervision of Bang Liu and has a significant publication track record in major AI conferences.

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Interests
  • Artificial Intelligence
  • Natural Language Processing
  • Large Language Models
  • Long Sequence Modeling
  • Multimodal Large Models
Education

  • Ph.D., Computer Science

    Mila - Quebec AI Institute / Université de Montréal

  • B.Eng. (Hons.), Computer Science

    Beihang University

Looking for Jobs!
I am seeking Research Engineer or Research Scientist roles specializing in Long Sequence LLMs, Multimodal LLMs, and Agentic LLMs, with availability starting in early 2026. Feel free to connect with me via email or LinkedIn.
Featured Publications
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
VCR: Pixel-Level Complex Reasoning by Restoring Occluded Text
FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Recent Publications
Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu (2025). Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. arXiv preprint arXiv: 2504.01990.
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Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar (2025). AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. CoRR.
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Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar (2025). BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks. The Thirteenth International Conference on Learning Representations (ICLR 2025).
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Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Joao Monteiro, Qiuzhuang Sun, Tianshu Yu (2025). GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks. arXiv preprint arXiv: 2504.12764.
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Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio (2025). MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation.
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