Scholar
Suyuchen Wang
Google Scholar ID: fiy_i68AAAAJ
Université de Montréal / Mila
Citations & Impact
Citations
219
H-index
7
i10-index
7
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- 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
- - AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding
- - BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
- - GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graphs
Research Experience
- Research under the supervision of Prof. Bang Liu.
Education
- Ph.D.: Computer Science, Mila - Quebec AI Institute / Université de Montréal; B.Eng. (Hons.): Computer Science, Beihang University
Background
- Research Interests: Artificial Intelligence, Natural Language Processing, Large Language Models, Long Sequence Modeling, Multimodal Large Models. Bio: 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.
Miscellany
- Job Seeking: Looking for Research Engineer or Research Scientist roles specializing in Long Sequence LLMs, Multimodal LLMs, and Agentic LLMs, with availability starting in early 2026.
