I am a lecturer in the Faculty of Electrical Engineering and Computer Science, Ningbo University. I obtained Ph.D. from the School of Computer Science, University of Nottingham Ningbo China (UNNC) in 2024, advised by Dr. Jianfeng Ren, Prof. Ruibin Bai and Prof. Tie-Yan Liu (F-IEEE), with the scholarship by Microsoft Research Asia (MSRA). I was a visiting Ph.D. student at Nanyang Technological University (NTU) in 2024, supervised by Prof. Xudong Jiang (F-IEEE). I obtained the M.Sc. from Imperial College London, U.K., in 2019, supervised by Dr. Stamatia Giannarou, and the B.Sc. from UNNC in 2018.
My research interests include but are not limited to:
[CV] [Email] [Google Scholar]
W. He, J. Ren, R. Bai and X. Jiang, Two-stage Rule-induction visual reasoning on RPMs with an application to video prediction. Pattern Recognition, 160, pp. 111151, DOI: 10.1016/j.patcog.2024.111151, 2025. [Paper]
W. He, J. Ren, R. Bai and X. Jiang, Radar gait recognition using Dual-branch Swin Transformer with Asymmetric Attention Fusion. Pattern Recognition, 159, pp. 111101, DOI: 10.1016/j.patcog.2024.111101, 2025. [Paper] [Data]
W. He, J. Ren, R. Bai and X. Jiang, Hierarchical Perceptual and Predictive Analogy-Inference Network for Abstract Visual Reasoning. ACM International Conference on Multimedia (ACM MM), pp. 4841-4850, 2024. [Paper] [Code] [Poster]
W. He, Y. Yan, J. Ren, R. Bai and X. Jiang, Multi-View Spectrogram Transformer for Respiratory Sound Classification. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8626-8630, 2024. [Paper] [Code] [Poster]
J. Zhang, X. Yang, W. He, J. Ren, Q. Zhang, Y. Zhao, R. Bai, X. He and J. Liu, Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery. AAAI Conference on Artificial Intelligence (AAAI), 38(1), pp. 410-418, 2024. [Paper]
W. He, J. Ren and R. Bai, Data Augmentation by Morphological Mixup for Solving Raven’s Progressive Matrices. The Visual Computer (TVCJ), 40, pp. 2457–2470, 2024. [Paper]
R. Ji, J. Li, W. He, J. Ren and X. Jiang, Dual-Stream Siamese Vision Transformer with Mutual Attention for Radar Gait Verification. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Paper]
W. He, J. Zhang, J. Ren, R. Bai and X. Jiang, Hierarchical ConViT with Attention-based Relational Reasoner for Visual Analogical Reasoning. AAAI Conference on Artificial Intelligence (AAAI), 37(1), pp. 22-30, 2023. [Paper] [Code] [Video] [Poster]
S. Chen, W. He, J. Ren and X. Jiang, Attention-based Dual-stream Vision Transformer for Radar Gait Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3668-3672, 2022. [Paper] [Slides] [Poster]
J. Liu, J. Ren, Z. Lu, W. He, M. Cui, Z. Zhang and R. Bai, Cross-document Attention-based Gated Fusion Network for Automated Medical Licensing Exam. Expert Systems with Applications, 205, pp.117588, DOI: 10.1016/j.eswa.2022.117588, 2022. [Paper]
R. Bai, X. Chen, Z.L. Chen, T. Cui, S. Gong, W. He, X. Jiang, H. Jin, J. Jin, G. Kendall, J. Li, Z. Lu, J. Ren, P. Weng, N. Xue and H. Zhang, Analytics and Machine Learning in Vehicle Routing Research. International Journal of Production Research, 61(1), pp.4-30, DOI: 10.1080/00207543.2021.2013566, 2023. [Paper]
C. Yao, S. Wang, J. Zhang, W. He, H. Du, J. Ren, R. Bai and J. Liu, rPPG-Based Spoofing Detection for Face Mask Attack using Efficientnet on Weighted Spatial-Temporal Representation. IEEE International Conference on Image Processing (ICIP), pp. 3872-3876, 2021. [Paper]
I serve/served as: