Haitao Zhao, Ph.D. in Pattern Recognition and Intelligent Systems, is currently a professor and Ph.D. supervisor at East China University of Science and Technology. He primarily teaches graduate courses such as Pattern Recognition, undergraduate courses including Pattern Recognition and Statistical Learning, Machine Learning and Data Mining, and international student courses like Pattern Recognition. He has made several academic visits to institutions such as the Hong Kong University of Science and Technology, the Hong Kong Polytechnic University, and Boston University in the United States.

Professor Zhao has led and participated in numerous projects, including those funded by the National Natural Science Foundation of China, the Shanghai Pujiang Talent Program, Huawei's Flagship Program, the 863 Program, Shanghai Development and Reform Commission's Technology Projects. He has published over 100 academic papers, authored one academic monograph, and holds eight national invention patents.

Since the beginning of his career, Professor Zhao has been dedicated to teaching and research in the fields of pattern recognition, machine learning, and computer vision. His research focuses on feature extraction and analysis, classifier design, information fusion, object detection, tracking and recognition, and visual scene reconstruction.

Pattern Recognition, Machine Learning, Computer Vision

• 1. Object-Preserving Siamese Network for Single-Object Tracking on Point Clouds，IEEE Transactions on Multimedia，2024

• 2. DFR-Net: Density Feature Refinement Network for Image Dehazing Utilizing Haze Density Difference，IEEE Transactions on Multimedia，2024

• 3. Dynamic background reconstruction via masked autoencoders for infrared small target detection，Engineering Applications of Artificial Intelligence，2024

• 4. Adaptive Denoising Autoencoder for Robust Fault Detection，Process Safety and Environmental Protection，2024

• 5. FoSp: Focus and separation network for early smoke segmentation，Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024)，2024

• 6. ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing，Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)，2024

• 7. DSA: Discriminative Scatter Analysis for Early Smoke Segmentation，Proceedings of the European conference on computer vision (ECCV 2024)，2024

• 8.Dynamic Fusion Network for RGBT Tracking， IEEE Transactions On Intelligent Transportation Systems，2023

• 9. Semantic-Consistent Embedding for Zero-Shot Fault Diagnosis，IEEE Transactions On Industrial Informatics，2023

• 10. CourtNet: Dynamically balance the precision and recall rates in infrared small target detection，Expert Systems with Applications，2023