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
Here is my CV.
H. Xiong, B. Feng, B. Wang, X. Wang, and W. Liu, “Fourier-based adaptive counterfactual intervention for object re-identification”, Neural Networks, 2025.
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.
J. Zhou, H. Xiong, J. Lu, Z. Lin, and B. Feng, “CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition”. IJCB 2025 (Oral). preprint
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. preprint
H. Xiong, B. Feng, X. Wang, and W. Liu, “Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition”. ECCV 2024.
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.
Y. Deng, H. Xiong, and B. Feng, “LiCAF: LiDAR-Camera Asymmetric Fusion for Gait Recognition”. ICIP 2024.
Invited talk on “HID 2021: Competition on Human Identification at a Distance 2021” at International Joint Conference on Biometrics (IJCB), Shenzhen, China, 2021. See slides