Sijing Li

Hello! I am a second-year master's student at Zhejiang University, advised by F. SNAS Beng Chin Ooi and Prof. Wenqiao Zhang. I am also a visiting student at the CCVL Lab, Johns Hopkins University, where I work with Bloomberg Distinguished Prof. Alan L. Yuille and Prof. Zongwei Zhou. Previously, I worked with Dr. Ling Zhang as a Research Intern at DAMO Academy, Alibaba Group.

My previous work focused on optimizing Multimodal Large Language Models (MLLMs) through Supervised Fine-Tuning and Reinforcement Learning. Currently, I am exploring World Models and Autonomous Agent Frameworks to advance complex reasoning and long-horizon planning.

/ / suzy53599@gmail.com

Research Interests

Healthcare AI: Medical Multi-modal LLMs, Medical Imaging, Data Synthesis.
World Model: Representation Learning, Dynamics Modeling, and Simulation for Sequential Decision-making.
Agent System: Active Tool-use, Agentic RL for Trajectory Optimization.

News

[Feb. 2026] One paper was accepted to CVPR 2026 Finding.

[Jan. 2026] Two papers were accepted to ICLR 2026.

[Jul. 2025] One paper was accepted to ACM Multimedia 2025.

[May. 2025] One paper was accepted to ICML 2025 as a Spotlight.

Publications

Full list on Google Scholar.

	TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan Gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. Mok, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang ICLR, 2026 arXiv
	EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model Sijing Li, Tianwei Lin, Lingshuai Lin, Wenqiao Zhang, Jiang Liu, Xiaoda Yang, Juncheng Li, Yucheng He, Xiaohui Song, Jun Xiao, Yueting Zhuang, Beng Chin Ooi ACM Multimedia, 2025 arXiv / code
	HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation Tianwei Lin, Wenqiao Zhang, Sijing Li, Yuqian Yuan, Binhe Yu, Haoyuan Li, Wanggui He, Hao Jiang, Mengze Li, Xiaohui Song, Siliang Tang, Jun Xiao, Hui Lin, Yueting Zhuang, Beng Chin Ooi ICML, 2025 Spotlight arXiv / code
	Heartcare Suite: Multi-dimensional Understanding of ECG with Raw Multi-lead Signal Modeling Yihan Xie, Sijing Li, Tianwei Lin, Zhuonan Wang, Chenglin Yang, Yu Zhong, Wenqiao Zhang, Haoyuan Li, Hao Jiang, Fengda Zhang, Qishan Chen, Jun Xiao, Yueting Zhuang, Beng Chin Ooi CVPR, 2026 Finding arXiv / code
	OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang, Jiang Liu, Yihan Xie, Mingjian Gao, Zhenxuan Fan, Zhaocheng Li, Sijing Li, Zhongle Xie, Peng Lu, Yueting Zhuang, Ling Zhang, Beng Chin Ooi, Yingda Xia ICLR, 2026 OpenReview

Submissions (preprint)

	E-MRL: Cross-view Aligned Evidence-driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis Sijing Li, Zhongwei Qiu, Zhuoya Wang, Boxiang Yun, Zhenyu Yi, Jianwei Xu, Wenqiao Zhang, Yingda Xia, Ling Zhang
	Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning Juekai Lin, Yun Zhu, Honglin Lin, Sijing Li, Tianwei Lin, Zheng Liu, Xiaoyang Wang, Wenqiao Zhang, Lijun Wu arXiv
	Astrea: A moe-based visual understanding model with progressive alignment Xiaoda Yang, JunYu Lu, Hongshun Qiu, Sijing Li, Hao Li, Shengpeng Ji, Xudong Tang, Jiayang Xu, Jiaqi Duan, Ziyue Jiang, Cong Lin, Sihang Cai, Zejian Xie, Zhuoyang Song, Songxin Zhang arXiv
	EndoVLM: An Endoscopy Vision-Language Pre-training Model via Anatomy-Guided Sparsity and Progressive Alignment Zhenyu Yi, Jianwei Xu, Yue Hu, Zhongwei Qiu, Sijing Li, Liang Huang, Bin Lv, Ling Zhang, Yingda Xia

Experience

Visiting Student, CCVL Lab, Johns Hopkins University.
Research Intern, Damo Academy, Alibaba Group.
M.S. Student in Zhejiang University.

Awards

Outstanding Graduate Student Honor, 2024 - 2025.
Graduate Merit Award for Exemplary All-around Excellence, 2024 - 2025.
Elite Scholarship (top 3%), 2025.