Xue Jiang

Xue Jiang

Joint Ph.D. student at SusTech & HKBU

Hi, I am Xue Jiang, a joint Ph.D. student at the Trustworthy Machine Learning and Reasoning (TMLR) Group, Department of Computer Science, Hong Kong Baptist University, advised by Prof. Bo Han, and Southern University of Science and Technology, advised by Prof. Feng Zheng. In the TMLR Group, I am also co-supervised by Prof. Feng Liu and work closely with Dr. Zhen Fang. From Feb. to Aug. 2025, I visited RIKEN AIP, working with Prof. Masashi Sugiyama and Dr. Gang Niu.

My research focuses on building reliable and trustworthy machine learning systems, with particular interests in out-of-distribution detection, as well as hallucination mitigation and safety for multimodal large language models.

Please feel free to email me for research, collaborations, or a casual chat.

Educations

  • 2022.09 - present, Southern University of Science and Technology (SusTech) & Hong Kong Baptist University (HKBU), Ph.D. in Computer Science.
  • 2019.09 - 2022.06, Wuhan University, M.E. in Computer Science.
  • 2015.09 - 2019.06, Wuhan University, B.E. in Electronic Information Engineering.

Selected Publications

* indicates equal contribution; full list can refer to Google Scholar.

  • TPAMI 2026
    Feature Map Matters in Out-of-Distribution Detection [PDF]
    X. Jiang, F. Liu, Z. Fang, H. Chen, T. Liu, F. Zheng, B. Han
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • AAAI 2026
    Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach [PDF]
    L. Huang*, X. Jiang*, Z. Wang*, W. Mo, X. Xiao, Y. Yin, B. Han, F. Zheng
    Proceedings of the AAAI Conference on Artificial Intelligence
  • ICML 2026
    MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue [PDF]
    Y. Jiang*, X. Jiang*, L. Zhang, Z. Wang, Y. Lu, P. Wang, B. Han, F. Zheng, D. Yang
    International Conference on Machine Learning
  • ICLR 2024Spotlight
    Negative Label Guided OOD Detection with Pretrained Vision-Language Models [PDF]
    X. Jiang, F. Liu, Z. Fang, H. Chen, T. Liu, F. Zheng, B. Han
    International Conference on Learning Representations
  • ICML 2023
    Detecting Out-of-Distribution Data through In-Distribution Class Prior [PDF]
    X. Jiang, F. Liu, Z. Fang, H. Chen, T. Liu, F. Zheng, B. Han
    International Conference on Machine Learning
  • IJCV 2026
    REVERIE+: Generalized Reflective Instruction Tuning for Hallucination Mitigation in Advanced VLMs [PDF]
    M. Bi, J. Zhang, X. Wang, X. Jiang, Y. Lu, P. Wang, F. Zheng
    International Journal of Computer Vision
  • ICML 2025
    On the Generalization Ability of Next-Token-Prediction Pretraining [PDF]
    Z. Li, X. Jiang, L. Liu, X. Zhang, H. Chen, F. Zheng
    International Conference on Machine Learning
  • AAAI 2023
    On the Stability and Generalization of Triplet Learning [PDF]
    J. Chen, H. Chen, X. Jiang, B. Gu, W. Li, T. Gong, F. Zheng
    Proceedings of the AAAI Conference on Artificial Intelligence
  • CVPR 2022
    Cross-Image Relational Knowledge Distillation for Semantic Segmentation [PDF]
    C. Yang, H. Zhou, Z. An, X. Jiang, Y. Xu, Q. Zhang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition

Honors and Awards

  • 2026, Gold Reviewer Award, ICML.
  • 2024, Outstanding Reviewer Award, NeurIPS.
  • 2024, Best Research Performance Award, HKBU.
  • 2023, Research Excellence Award, HKBU.

Services

  • Conference Reviewer for ICML, NeurIPS, ICLR, AAAI, CVPR.
  • Journal Reviewer for TPAMI, Neural Networks, TNNLS, IJCV, TMLR.

Teaching

  • 2024 Spring, TA for CS308: Computer Vision, SusTech.
  • 2023 Fall, TA for CS205: C/C++ Program Design, SusTech.
  • 2019 Fall, TA for Fundamentals of Circuit and Electronics, WHU.

Experiences