Introduction
I am currently a visiting scholar at The BlueWhale Lab, National University of Singapore (NUS), and a Ph.D. candidate in the Department of Computing (COMP), The Hong Kong Polytechnic University (funded by HKPFS). Prior to joining PolyU, I received my Master's degree in Information Technology (with Distinction) from the University of Melbourne, under the supervision of Dr. Lea Frermann. I obtained my Bachelor's degree in Information Security from Shanghai Jiao Tong University in 2021.
Research Interests
News
2026.02 Our paper "IAG: Input-Aware Backdoor Attack on VLM-Based Visual Grounding" is accepted by CVPR 2026. Congratulations to Junxian Li! 🎉 [Paper]
2026.01 Our paper "CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics" is accepted by ICLR 2026. Congratulations to Weida Wang! 🎉 [Paper]
2025.10 Our paper "Chem-R: Learning to Reason as a Chemist" is available on arXiv. [Paper]
2025.10 Our paper "Search Engine Augmented Chinese Named Entity Recognition for Big Data Content Security" is accepted by CBDCom. Congratulations to Qinghua Mao! 🎉
2025.08 Our paper "Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery" is available on arXiv. [Paper]
2025.06 We are organizing a workshop "LLM Reasoning on Medicine: Challenges, Opportunities, and Future" at INLG 2025. [Workshop Link]
2025.03 Our paper "Large Language Models are In-Context Molecule Learners" is accepted by IEEE TKDE! 🎉 [Paper] [Model] [Code]
2025.02 Our paper "Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning" is accepted by CVPR 2025. Congratulations to Di Zhang! 🎉
2024.12 Our paper "TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation" is released on arXiv. [Paper] [Homepage] [Code] [Data]
2024.11 Our paper "MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts" is released on arXiv. [Paper]
2024.06 Our paper "Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective" is accepted by IEEE TKDE. [Paper]
2024.03 Our paper "Recommender Systems in the Era of Large Language Models (LLMs)" is accepted by IEEE TKDE! [Paper]
Publications
2026
Weida Wang*, Dongchen Huang*, Jiatong Li*, Tengchao Yang, Ziyang Zheng, Di Zhang, Dong Han et al. CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics. ICLR 2026 (Co-First Author)
Junxian Li, Beining Xu, Simin Chen, Jiatong Li, Jingdi Lei, Haodong Zhao, and Di Zhang. IAG: Input-Aware Backdoor Attack on VLM-Based Visual Grounding. CVPR 2026
2025 Weida Wang, Benteng Chen, Di Zhang, Wanhao Liu, Shuchen Pu, Ben Gao, Jin Zeng, Xiaoyong Wei, Tianshu Yu, Shuzhou Sun, Tianfan Fu, Wanli Ouyang, Lei Bai, Jiatong Li, Zifu Wang, Yuqiang Li, Shufei Zhang. Chem-R: Learning to Reason as a Chemist. arXiv preprint arXiv:2510.16880. (Corresponding Author)
Jiatong Li, Weida Wang*, Qinggang Zhang, Junxian Li, Di Zhang, Changmeng Zheng, Shufei Zhang, Xiaoyong Wei, and Qing Li. Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery. arXiv preprint arXiv:2508.08401.
Qinghua Mao, Jiatong Li, Kui Meng, Yuanyuan Sun, Pengjiao Wang, Jianhua Li. Search Engine Augmented Chinese Named Entity Recognition for Big Data Content Security. CBDCom 2025
Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou. Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning. CVPR 2025
Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou. Llama-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. NAACL 2025
2024 Jiatong Li*, Junxian Li*, Yunqing Liu, Dongzhan Zhou, and Qing Li. TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation. arXiv preprint arXiv:2412.14642.
Jiatong Li, Yunqing Liu, Wei Liu, Jingdi Le, Di Zhang, Wenqi Fan, Dongzhan Zhou, Yuqiang Li, and Qing Li. MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts. arXiv preprint arXiv:2411.14721.
Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Wanli Ouyang, Dongzhan Zhou, Shufei Zhang, Mao Su, Han-Sen Zhong, Yuqiang Li. ChemLLM: A Chemical Large Language Model. arXiv preprint arXiv:2402.06852.
Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan, Yuqiang Li, Qing Li. Large Language Models are In-Context Molecule Learners. IEEE TKDE
2023 Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, and Qing Li. Fast Graph Condensation with Structure-based Neural Tangent Kernel. WWW 2024
Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, and Qing Li. Recommender Systems in the Era of Large Language Models (LLMs). IEEE TKDE
Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-yong Wei, Hui Liu, Jiliang Tang, Qing Li. Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective. IEEE TKDE
Lea Frermann, Jiatong Li, Shima Khanehzar, Gosia Mikolajczak. Conflicts, Villains, Resolutions: Towards Models of Narrative Media Framing. ACL 2023 (Oral Presentation)
Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li. Generative Diffusion Models on Graphs: Methods and Applications. IJCAI 2023
2022 Mao Qinghua, Jiatong Li, and Kui Meng. Improving Chinese Named Entity Recognition by Search Engine Augmentation. arXiv preprint arXiv:2210.12662.
Jiatong Li, Bin He, and Fei Mi. Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations. arXiv preprint arXiv:2209.00250.
2021 Jiatong Li, Kui Meng. MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition. arXiv preprint arXiv:2109.07877.
Chaowang Zhao, Jian Yang*, Jiatong Li. Generation of Hospital Emergency Department Layouts Based on Generative Adversarial Networks. Journal of Building Engineering, 43, 102539.
Chaowang Zhao, Jian Yang*, Wuyue Xiong, Jiatong Li. Two Generative Design Methods of Hospital Operating Department Layouts Based on Healthcare Systematic Layout Planning and Generative Adversarial Network. Journal of Shanghai Jiaotong University (Science), 26, 103-115.
Honors
Hong Kong PhD Fellowship Scheme (HKPFS)
Scholarship
Melbourne Graduate Grant
Scholarship
Second Prize, Aecore Cup Digital Twin Application Competition
Award · 2021
Finalist Award, Mathematical Contest in Modelling (MCM)
Award · 2020