About Me
I am now a Research Assistant Professor at the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology (HKUST), where I work closely with Prof. Kwang-Ting Cheng. Prior to this, I was a postdoctoral researcher at the Department of CSE from Jan. 2022 to Nov. 2023. Before joining HKUST, I earned my Ph.D. degree in Computer Science and Technology from Nanjing University of Science and Technology, where I was supervised by Prof. Jinhui Tang. From Sep. 2018 to Sep. 2020, I was supported by the China Scholarship Council as a joint Ph.D. student at MReaL of Nanyang Technological University in Singapore, under the supervision of Prof. Hanwang Zhang and Prof. Qianru Sun.
My primary research interests are in machine learning, computer vision, and medical image analysis, with a focus on fundamental research tasks such as image classification, object detection, semantic segmentation, and pose estimation. In addition, my research interests are also centered on efficient network architecture design for edge devices perception, with an emphasis on developing integrated visual recognition systems tailored for applications such as healthcare and wellness analysis.
I currently do not have any funds available to support PhD/MPhil/RA student applications at HKUST. I apologize for any inconvenience this may cause and suggest that you consider other options. Thanks!
I would like to express my heartfelt thanks to my beloved cat, ERLING (二零 in chinese), who was by my side throughout my doctoral journey. Sadly, ERLING passed away in a car accident in Dec. 2023. Although she was just a cat, her presence brought me comfort during many anxious and sleepless nights. I am forever grateful for her companionship and will always cherish the memories we shared.
Publications
* denotes co-first authors.
# denotes corresponding author.
👀 2024:
- Dong Zhang, Pingcheng Dong, Xinting Hu, Long Chen, and Kwang-Ting Cheng. BREAD: Boundary and Relation Distillation for Semantic Segmentation. arXiv, 2024.
- Fengyun Wang, Qianru Sun, Dong Zhang, and Jinhui Tang. Unleashing Network Potentials for Semantic Scene Completion. The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
- Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, and Hao Chen. BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels. IEEE Transactions on Medical Imaging (TMI), 2024.
- Qianhao Wu, Jiaxin Qi, Dong Zhang, Hanwang Zhang, Jinhui Tang. Fine-Tuning for Few-shot Image Classification by Multimodal Prototype Regularization. IEEE Transactions on Multimedia (TMM), 2024.
- Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu, Yun Pan, Fengwei An, and Kwang-Ting Cheng. Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. ACM/IEEE Design Automation Conference (DAC oral), 2024.
- Pingcheng Dong, Yonghao Tan, Dong Zhang, Yongkun Wu, Xijie Huang, Shih-Yang Liu, Yu Liu, Xuejiao Liu, Peng Luo, Luhong Liang, Fengwei An, and Kwang-Ting Cheng. Additive Partial Sum Quantization. ACM/IEEE Design Automation Conference (DAC), 2024.
👀 2023:
- Dong Zhang, Yi Lin, Jinhui Tang, and Kwang-Ting Cheng. CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions. International Journal of Computer Vision (IJCV), 2023.
- Dong Zhang, Liyan Zhang, and Jinhui Tang. Augmented FCN: Rethinking Context Modeling for Semantic Segmentation. SCIENCE CHINA Information Sciences (SCIS), 2023.
- Zenan Shi, Haipeng Chen, and Dong Zhang#. Transformer-Auxiliary Neural Networks for Image Manipulation Localization by Operator Inductions. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
- Zenan Shi, Haipeng Chen, Long Chen, and Dong Zhang#. Discrepancy-Guided Reconstruction Learning for Image Forgery Detection. International Joint Conference on Artificial Intelligence (IJCAI), 2023.
- Dong Liang*, Dong Zhang*, Qiong Wang, Zongqi Wei, and Liyan Zhang. CrossNet: Cross-Scene Background Subtraction Network via 3D Optical Flow. IEEE Transactions on Multimedia (TMM), 2023.
- Yi Lin*, Dong Zhang*, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, and Hao Chen. Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. Information Processing in Medical Imaging (IPMI), 2023.
- Chunyan Wang, Dong Zhang, Liyan Zhang, and Jinhui Tang. Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
- Yu Quan, Dong Zhang, Liyan Zhang, and Jinhui Tang. Centralized Feature Pyramid for Object Detection. IEEE Transactions on Image Processing (TIP), 2023..
- Fengyun Wang, Dong Zhang, Hanwang Zhang, Jinhui Tang, Qianru Sun. Semantic Scene Completion with Cleaner Self. The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.
- Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, and Kwang-Ting Cheng. FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. IEEE Transactions on Medical Imaging (TMI), 2023.
- Chunyan Wang, Dong Zhang#, and Rui Yan. Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator. arXiv, 2023.
- Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Yanwu Xu, and Kwang-Ting Cheng. Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints. arXiv, 2023.
- Yuchen Shen, Dong Zhang, Yuhui Zheng, Zechao Li, Liyong Fu, and Qiaolin Ye. Training-Free Instance Segmentation from Semantic Image Segmentation Masks. arXiv, 2023.
- Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, and Hao Chen. A Permutable Hybrid Network for Volumetric Medical Image Segmentation. arXiv, 2023.
👀 2022:
- Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, and Kwang Ting Cheng. Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions. arXiv, 2022.
- Dong Zhang, Jinhui Tang, and Kwang-Ting Cheng. Graph Reasoning Transformer for Image Parsing. ACM International Conference on Multimedia (ACM MM), 2022.
- Dong Zhang, Chengting Zuo, Qianhao Wu, Liyong Fu, and Xinguang Xiang. Unabridged Adjacent Modulation for Clothing Parsing. Pattern Recognition (PR), 2022.
- Zenan Shi, Haipeng Chen, Dong Zhang, and Xuanjing Shen. Pretraining-Driven Multimodal Boundary Aware Vision Transformer. Journal of Software (in Chinese), 2022.
- Yangjun Mao, Long Chen, Zhihong Jiang, Dong Zhang, Zhimeng Zhang, Jian Shao, and Jun Xiao. Rethinking the Reference-based Distinctive Image Captioning. ACM International Conference on Multimedia (ACM MM), 2022.
👀 2021 and before:
- Dong Zhang, Hanwang Zhang, Jinhui Tang, Xiansheng Hua, and Qianru Sun. Self-Regulation for Semantic Segmentation. International Conference on Computer Vision (ICCV), 2021.
- Dong Zhang, Hanwang Zhang, Jinhui Tang, Xiansheng Hua, and Qianru Sun. Causal Intervention for Weakly-Supervised Semantic Segmentation. Conference on Neural Information Processing Systems (NeurIPS oral), 2020.
- Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, and Qianru Sun. Feature Pyramid Transformer. European Conference on Computer Vision (ECCV), 2020.
- Dong Zhang, Yunlian Sun, Qiaolin Ye, and Jinhui Tang. Recursive Discriminative Subspace Learning with L1-norm Distance Constraint. IEEE Transactions on Cybernetics (TCYBE), 2018.
- Wenxuan Zhang*, Dong Zhang*, and Xinguang Xiang. Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification. Asian Conference on Machine Learning (ACML spotlight), 2019.
- Long Chen, Chujie Lu, Siliang Tang, Jun Xiao, and Dong Zhang, et al. Rethinking the Bottom-Up Framework for Query-based Video Localization. Association for the Advancement of Artificial Intelligence (AAAI oral), 2020.
Fundings
- Vision-Based and Physical-Informed Human Pose Analysis for Complex Sports, Co-PI, HKUST Internal Project, 1 Million
Services
🌻 Journal Reviewers:
- IEEE Transactions on Multimedia
- IEEE Transactions on Cybernetics
- IEEE Transactions on Medical Imaging
- IEEE Transactions on Image Processing
- IEEE Transactions on Geoscience and Remote Sensing
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Circuits and Systems for Video Technolog
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Neurocomputing, Neural Networks, Pattern Recognition
- Journal of Applied Remote Sensing
- Computers and Electronics in Agriculture
- IEEE Geoscience and Remote Sensing Letters
- KSII Transactions on Internet and Information Systems
🌻 Conference Reviewers:
- European Conference on Computer Vision, 2021-2022
- ACM International Conference on Multimedia, 2021-2023
- International Conference on Machine Learning, 2021-2023
- Association for the Advancement of Artificial Intelligence, 2022-2024
- ACM International Conference on Multimedia in Asia, 2021-2023
- Conference on Neural Information Processing Systems, 2021-2023
- International Conference on Learning Representations, 2022-2024
🌻 Guest Editor:
🌻 Invited Talks:
Honors and Awards
- Outstanding Doctoral Dissertation Award at NJUST, 2023
- Best Paper Award at LTDL Workshop in IJCAI, 2021
- Scholarship from CSC, 2018
- National Scholarships, 2016
- Academic Scholarship at NJFU and NJUST, 2015-2017
- Best Paper Award Runner-Up, 2015