My name is Shengen WU. I’m currently an Algorithm Engineer at HiThink Lab, RoyalFlush (同花顺). I received my Master of Philosophy (MPhil) degree in Artificial Intelligence from The Hong Kong University of Science and Technology (Guangzhou) in 2026, where I was a member of The Deep Interdisciplinary Intelligence Lab (Di² Lab), advised by Professor Yuetao Yue. My research focuses on Large Language Models (LLMs), with particular interests in multimodal learning and reasoning enhancement. I received my Bachelor of Science degree in Financial Mathematics from Xi’an Jiaotong-Liverpool University and the University of Liverpool in 2024.

🔥 News

• 06/2026:  🎉 One preprint was online via ArXiv.
• 01/2026:  🎉 One paper got accepted by The Fourteenth International Conference on Learning Representations (ICLR 2026). See you in Rio de Janeiro🇧🇷!
• 09/2025:  🎉 One preprint was online via ArXiv.
• 09/2025:  🎉 One paper got accepted by The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). See you in Suzhou🇨🇳!
• 01/2025:  🎉 One paper got accepted by IEEE CSCWD 2025.
• 06/2024:  🎉 One paper got accepted by IEEE SEAI 2024.

🏫 Educations

• 2024.09 - 2026.05:  Master of Philosophy (MPhil) in Artificial Intelligence, HKUST(GZ).
• 2020.09 - 2024.06:  Bachelor of Science in Financial Mathematics, Xi’an Jiaotong-Liverpool University & University of Liverpool.

💼 Experience

• 2025.08 - 2025.11:  Data Strategy Intern, Douyin Group, ByteDance.
• 2026.01 - Present:  Algorithm Engineer, HiThink Lab, RoyalFlush (同花顺).

🏆 Awards & Grants

• 2024.09 - 2026.05:  Red Bird MPhil Full Scholarship, HKUST(GZ).

📃 Publications

ArXiv Preprint

Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning

Jiayu Yang, Chao Chen, Shengen WU, Yinhong Liu, Yuxuan Fan, Lujundong Li, Songning Lai, Chengwei Qin, Zhijiang Guo

ArXiv Preprint (2026)

Paper

ICLR 2026 Poster

ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall

Jiayu Yang, Yuxuan Fan, Songning Lai, Shengen WU, Jiaqi Tang, Chun Kang, Zhijiang Guo, Yutao Yue📧

The Fourteenth International Conference on Learning Representations (ICLR 2026)

Paper

ArXiv Preprint

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey

Wei Dai, Shengen WU, Wei Wu, Zhenhao Wang, Sisuo Lyu, Haicheng Liao, Limin Yu, Weiping Ding, Runwei Guan, Yutao Yue📧

ArXiv Preprint (2025)

Paper

EMNLP 2025 Poster

Can GRPO Boost Complex Multimodal Table Understanding?

Xiaoqiang Kang, Shengen WU, Zimu Wang, Yilin Liu, Xiaobo Jin, Kaizhu Huang, Wei Wang, Yutao Yue, Xiaowei Huang, Qiufeng Wang📧

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)

Paper

IEEE CSCWD 2025

MMKNet: A Multi-Modal Knowledge Network for Predicting Both Seen and Unseen Classes in Medical Imaging

Wenqi Xu, Hong-seng Gan📧, Shengen WU, Zimu Wang, Muhammad Hanif Ramlee, Wan Mahani Hafizah

IEEE 29th International Conference on Computer Supported Cooperative Work and Design (CSCWD 2025)

Paper

IEEE SEAI 2024

MVCNet: A Vision Transformer-Based Network for Multi-Label Zero-Shot Learning in Medical Imaging

Shengen Wu, Hong-seng Gan📧, Ying-Tuan Lo, Muhammad Hanif Ramlee, Hafiz Basaruddin

IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI 2024)

Paper