Tao Wang
Associate Professor
School of Computer and Big Data & International Digital Economy College
Minjiang University, Fuzhou 350108, China
Research Interests
- Object detection and segmentation
- Context modeling for scene understanding
- Learning and inference for computer vision
Publications
- Sien Li, Tao Wang, Xiaodong Han, Lingyu Liang, Wenxi Liu. Semi-Supervised Semantic Segmentation by Self-Training with Ambiguity-Driven Online Refinement. Neural Networks, 2026.
- Yuling Yang, Tao Wang, Sien Li, Yuanzheng Cai, Xiang Wu. Attention Inverted Feature Perturbation for Semi-Supervised Medical Image Segmentation. Discover Computing, 2026.
- Zuoyong Li, Jinhuang Ye, Jie Wen, Haixiong Liu, Tao Wang, Weisi Lin. Kernel-Based Representation Alignment for Class Imbalanced Semi-Supervised Learning. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2025.
- Ruizhe Hu, Zuoyong Li, Tao Wang, Sien Li, Yuanzheng Cai, Rong Hu, George N. Papageorgiou. LCMatch: Layer Cross-Based Semi-Supervised Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2025.
- Sien Li, Tao Wang, Ruizhe Hu, Wenxi Liu. Revisiting Network Perturbation for Semi-Supervised Semantic Segmentation. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024.
- Xiuen Wu, Sien Li, Tao Wang, Ge Xu, George Papageorgiou. Learning a Memory-Enhanced Multi-Stage Goal-Driven Network for Egocentric Trajectory Prediction. Biomimetics, 2024.
- Zhongzheng Huang, Jiawei Wu, Tao Wang, Zuoyong Li, Anastasia Ioannou. Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification. Computers in Biology and Medicine, 2023.
- Tao Wang, Zhongzheng Huang, Jiawei Wu, Yuanzheng Cai, Zuoyong Li. Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment. Bioengineering, 2023.
- Zhengyao Wen, Wenzhong Lin, Tao Wang, Ge Xu. Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition. Biomimetics, 2023.
- Tao Wang, Yuanzheng Cai, Lingyu Liang, Dongyi Ye. A Multi-Level Approach to Waste Object Segmentation. Sensors, 2020.
- Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao. Learning a Layout Transfer Network for Context Aware Object Detection. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020.
- Tao Wang, Xuming He, Songzhi Su, Yin Guan. Efficient Scene Layout Aware Object Detection for Traffic Surveillance. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Traffic Surveillance Workshop and Challenge Best Paper Award, 2017.
A full publication list is available on Google Scholar.
Education & Experiences
- Ph.D. NICTA Canberra Research Lab, College of Engineering & Computer Science, The Australian National University. (Supervisors: Xuming He and Nick Barnes)
- B.Eng. School of Electronic & Information Engineering, South China University of Technology. (Supervisor: Lianwen Jin)
- Postdoctoral Researcher, Fuzhou University. (Supervisors: Dongyi Ye and Yin Guan)
- Researcher, NetDragon R&D Fuzhou.
Teaching
Artificial Intelligence
Programming Principles I - Robotics Lab
Linux System Applications
Comprehensive Training in Digital Systems
Comprehensive Engineering Training
Professional English for Computer Science
Professional Services
Reviewer for
IEEE T-CSVT
Pattern Recognition
Neural Networks
Expert Systems with Applications
Neurocomputing
ISPRS Journal of Photogrammetry and Remote Sensing
IEEE Journal of Biomedical and Health Informatics
Machine Vision and Applications
IET Computer Vision
IET Image Processing
AAAI
IJCAI
ACM MM
Email