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

Graduating Ph.D., Computer Science

Mila - Quebec AI Institute
Université de Montréal

About Me

Suyuchen Wang is a graduating Ph.D. candidate at Mila, Quebec AI Institute and Université de Montréal, supervised by Bang Liu. His research spans the full stack of making language models more capable: from efficient long-context modeling (Resonance RoPE, ACL 2024) to retrieval-augmented reasoning (CARE, EMNLP 2025), and more recently vision-language understanding (VCR, ICLR 2025 co-first author with Yoshua Bengio).

He has published 20+ papers at venues including ICLR, EMNLP, ACL, NeurIPS, and The Web Conference, with open-source contributions including model checkpoints on HuggingFace and a Chrome extension for arXiv-to-Markdown conversion (⭐90+). He has held research positions at ServiceNow Research, Huawei Noah’s Ark Lab, and Tencent Jarvis Lab.

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Interests
  • Large Language Models
  • Vision-Language Models
  • Long-Context & Efficient Reasoning
  • Retrieval-Augmented Generation
  • Open-Source ML Tools
Education

  • Ph.D., Computer Science

    Mila - Quebec AI Institute / Université de Montréal

  • B.Eng. (Hons.), Computer Science

    Beihang University

Featured Publications
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
Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu (2025). System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts. Advances in Neural Information Processing Systems (NeurIPS 2025).
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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).
Cite URL
Suyuchen Wang*, Jinlin Wang*, Xinyu Wang*, Shiqi Li, Xiangru Tang, Sirui Hong, Xiao-Wen Chang, Chenglin Wu, Bang Liu (2025). CARE: Improving Context Fidelity via Native Retrieval-Augmented Reasoning. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).
Cite DOI URL Project HuggingFace
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