About me

My name is Shansi Zhang. I obtained my Ph.D. degree in Electrical and Electronic Engineering from The University of Hong Kong, supervised by Prof. Edmund Y. Lam. My research interests include image processing, computer vision and artificial intelligence.

📖 Education Background

• PhD, Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 2020.11 - 2024.08.
• M.Eng, Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 2017.08 - 2019.05.
• B.Eng, Mechanical Engineering, Beijing Institute of Technology, China, 2012.09 - 2016.06.

💻 Work Experiences

• Machine Learning Research Engineer in Biomind, Beijing and Singapore, 2019.05 - 2020.09.

  Worked on medical image analysis and AI-assisted medical diagnosis.

• Research Intern in Desay SV Automotive, Singapore, 2018.12-2019.03.

  Worked on deep reinforcement learning for autonomous driving.

📝 Publications

Selected Journals

• Shansi Zhang, Yaping Zhao, and Edmund Y. Lam, Semi-Supervised Semantic Segmentation for Light Field Images Using Disparity Information, IEEE Transactions on Image Processing, vol. 33, pp. 4516-4528, 2024.
• Shansi Zhang and Edmund Y. Lam, Light Field Image Restoration via Latent Diffusion and Multi-View Attention, IEEE Signal Processing Letters, vol. 31, pp. 1094-1098, 2024.
• Shansi Zhang, Nan Meng, and Edmund Y. Lam, Unsupervised Light Field Depth Estimation via Multi-View Feature Matching with Occlusion Prediction, IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2261-2273, 2024.
• Shansi Zhang, Nan Meng, and Edmund Y. Lam, LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images, IEEE Transactions on Image Processing, vol. 32, pp. 4314-4326, 2023.
• Shansi Zhang and Edmund Y. Lam, An Effective Decomposition-Enhancement Method to Restore Light Field Images Captured in the Dark, Signal Processing, vol. 189, pp. 108279 (1–11), 2021.
• Shansi Zhang and Edmund Y. Lam, Learning to Restore Light Fields Under Low-Light Imaging, Neurocomputing, vol. 456, pp. 76-87, 2021.
• Shansi Zhang, Shuyuan Ma, and Weiming Wang, Sliding Mode Control Based on Disturbance Observer for Magnetic Levitation Positioning Stage, Journal of Electrical Engineering & Technology, vol. 13, no. 5, pp. 2116-2124, 2018.

Selected Conferences

• Shansi Zhang and Edmund Y. Lam, Unsupervised Disparity Estimation for Light Field Videos, in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2620–2624, 2024.
• Shansi Zhang and Edmund Y. Lam, A Deep Retinex Framework for Light Field Restoration Under Low-Light Conditions, in International Conference on Pattern Recognition (ICPR), pp. 2042-2048, 2022.
• Shansi Zhang, Chao Sun, Zhi Feng, and Guoqiang Hu, Trajectory-Tracking Control of Robotic Systems via Deep Reinforcement Learning, in IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), pp. 386-391, 2019.

🎖 Honors and Awards

• HKU Postgraduate Scholarship, 2020-2024.
• National Scholarship, 2015.11.
• Beijing Outstanding Graduate, 2016.06.
• Outstanding Graduate of Beijing Institute of Technology, 2016.06.
• Special Award of Fashite Gear Scholarship, 2015.05.