About

I am a Ph.D. candidate in the School of Electronic Information and Communications (EIC) at Huazhong University of Science & Technology (HUST). I received my B.Sc. in Electronic Information Engineering from HUST in 2022.

My research interests broadly span Computer Vision and Deep Learning, including MLLM-based video understanding, Gait recognition, Human-centered vision, Fine-grained recognition, and Representation learning.

Email: xionghj@hust.edu.cn

Google Scholar Citations 78 h-index 4

Education

2024-09Present

Ph.D. Candidate

Information and Communication Engineering

School of Electronic Information and Communications, Huazhong University of Science & Technology

2022-092024-09

M.S.

Information and Communication Engineering

School of Electronic Information and Communications, Huazhong University of Science & Technology

2018-092022-06

B.Sc.

Electronic Information Engineering

School of Electronic Information and Communications, Huazhong University of Science & Technology

Publications

Journals

H. Xiong, B. Feng, B. Wang, X. Wang, and W. Liu, “Fourier-based adaptive counterfactual intervention for object re-identification”, Neural Networks, 2026.
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

H. Xiong, B. Feng, B. Wang, X. Wang, and W. Liu, “Gait Recognition via Collaborating Discriminative and Generative Diffusion Models”. AAAI 2026.
J. Zhou, H. Xiong, J. Lu, Z. Lin, and B. Feng, “CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition”. IJCB 2025 (Oral).
J. Lu, H. Xiong, J. Zhou, Z. Lin, and B. Feng, “Collaborative Spatial and Channel Attention for Structural Vibration-based Gait Recognition”. IJCB 2025.
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.
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.

Talks

Invited talk on “2nd Seminar on Gait”. See slides
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