Qian Hangwei

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Research Area
  • Multimodal LLMs
  • AI for Science
  • Trustworthy and Explainable AI
  • Singapore 100 Women in Tech (SG100WIT) 2025
  • Wallenberg-NTU Presidential Postdoctoral Fellowship
  • A*STAR Career Development Fund (CDF)
  • DTC Research Grant
  • Wallenberg-NTU Presidential Postdoctoral Fellowship

1. Xinyao Li, Hangwei Qian*, Jingjing Li*, Lei Zhu and Ivor Tsang. Learning ORDER-Aware Multimodal Representations for Composite Materials Design. Nature Communications, 2026.

2. Xiaoting Lyu, Yufei Han, Hangwei Qian, Ivor Tsang and Wei Wang. TrojanGPL: Vulnerability Analysis and Mitigation of Backdoor Attacks on Graph Prompt Learning. IEEE Transactions on Dependable and Secure Computing, 2026.

3. Wei Yong Tan, Ivor Tsang and Hangwei Qian*. Does Verbal Self-Reflection Transfer to Long-Horizon Scientific Discovery? ICML AI4Science Workshop, 2026.

4. Feiyang Wang, Hangwei Qian*, Xingquan Zuo, Gang Chen and Ivor Tsang. Bias in Zeroth-Order Normal Estimation for Decision-Based Attacks. ICML, 2026.

5. Abhiroop Bhattacharya, Hangwei Qian*, Sylvain G. Cloutier and Ivor Tsang. Geometry-Aware OOD Generalisation for Composite Materials. KDD, 2026.

6. Jiazheng Xing, Chao Xu, Hangjie Yuan, Mengmeng Wang, Jun Dan, Hangwei Qian and Yong Liu. Knowledge is Power: Advancing Few-Shot Action Recognition with Multimodal Semantics from MLLMs. International Journal of Computer Vision, 2026.

7. Bowen Ping, Chengyou Jia, Minnan Luo, Hangwei Qian* and Ivor Tsang. Flow-Factory: A Unified Framework for Easy Reinforcement Learning in Flow-Matching Models. ICLR ReALM-GEN Workshop, 2026.

8. Chenhong Zhou, Zaifeng Yang, Xinyu Yang, Wei Bin Ewe, Hangwei Qian and Jie Chen. Divergence-Constrained Physics-Informed Neural Networks for Time-Domain Maxwell's Equations. AI4X, 2026.

9. Abhiroop Bhattacharya, Hangwei Qian and Ivor Tsang. A Multimodal Conditional JEPA for Composite Materials. AI4X, 2026.

10. Bowen Ping, Chengyou Jia, Minnan Luo, Changliang Xia, Xin Shen, Zhuohang Dang and Hangwei Qian*. PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modelling. CVPR, 2026.

  • Conference PC Member: ICML, NeurIPS, ICLR, CVPR, KDD, AAAI, IJCAI, etc
  • Journal Reviewer: TPAMI, Artificial Intelligence, TAI, Machine Learning, etc