Haijun Xiong 熊海军


About Me

I am now a Ph.D. student under the supervision of Prof. Bin Feng at Huazhong University of Science & Technology (HUST), School of Electronic Information and Communications (EIC). Before that, I received my B.Sc degree in Electronic Information Engineering from Huazhong University of Science & Technology, China, in 2022.

I major in Computer Vision and Deep Learning, and have published several papers about Gait Recognition on some venues. My past research scope involves Gait Recognition. The potential research I look forward to might be around Human-Centered Vision Tasks and Fine-grained Recognition Tasks, close to Representation Learning . Also, I'm open to discussing other potential directions. Please feel free to get in touch with me!

Email: xionghj@hust.edu.cn


Curriculum Vitae

Here is my CV.


Publications

Journals

  1. H. Xiong, B. Feng, B. Wang, X. Wang, and W. Liu, “Fourier-based adaptive counterfactual intervention for object re-identification”, Neural Networks, 2025.

  2. H. Xiong, B. Feng, B. Wang, X. Wang, and W. Liu, “MambaGait: Gait recognition approach combining explicit representation and implicit state space model”, Image and Vision Computing, 2025.

Conferences

  1. H. Xiong, B. Feng, B. Wang, X. Wang, and W. Liu, “Gait Recognition via Collaborating Discriminative and Generative Diffusion Models”. AAAI 2026.

  2. J. Zhou, H. Xiong, J. Lu, Z. Lin, and B. Feng, “CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition”. IJCB 2025 (Oral).

  3. Y. Deng, H. Xiong, B. Feng, X. Wang, and W. Liu, “STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting”. ICME 2025.

  4. H. Xiong, B. Feng, X. Wang, and W. Liu, “Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition”. ECCV 2024.

  5. H. Xiong, Y. Deng, B. Feng, X. Wang, and W. Liu, “GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition”. ICIP 2024.

  6. Y. Deng, H. Xiong, and B. Feng, “LiCAF: LiDAR-Camera Asymmetric Fusion for Gait Recognition”. ICIP 2024.


Acitvives

Talks