Bio Summary:
Dawei Zhang is a Ph.D. and Assistant Professor in the Department of Computer Science and Technology at Zhejiang Normal University, located in Jinhua, China. He holds expertise in computer vision, deep learning, and multimedia computing, with a focus on areas such as visual object tracking, video object segmentation, lightweight neural networks, adversarial attacks, and multi-modal information fusion.
Research Focus:
- Visual Object Tracking and Video Object Segmentation
- Light-weight Neural Networks for Mobile or Edge Computing Devices
- Research on Adversarial Attacks and Interpretability in Deep Learning
- Applications of Multi-modal Information Fusion in Vision and Language
Professional Journey:
- Ph.D. (2017.09-2022.06) – Zhejiang Normal University, supervised by Prof. Zhonglong Zheng & Xiaoqin Zhang
- Visiting Intern (2021.05-2021.09) – ISTBI, Fudan University, supervised by Prof. Yanwei Fu
- B.E. (2013.09-2017.06) – Huaiyin Institute of Technology, supervised by Prof. Sen Xia
Honors & Awards:
- 2023: 2nd “Chengtai Gonghao” Qihang Teaching Scholarship of Zhejiang Normal University
- 2022: Talent Ambassador of Wucheng District, Jinhua City, Zhejiang Province
- 2022: Outstanding Doctoral Dissertation Award of Zhejiang Normal University
- 2022: Outstanding Graduate Students of Zhejiang Province
- 2022: “Top-10 Students” of GREENTOWN Group in Zhejiang Normal University
- 2021: National Scholarship for Postgraduate Students
- 2018-2021: First class Academic Scholarship of Zhejiang Normal University
- 2021: “Top-10 Academic Stars” for Graduate Students of Zhejiang Normal University
- 2020: Academic Innovation Scholarship of Zhejiang Normal University
- 2020: Outstanding Paper Award of National Conference of Computer Application of CCF
Publications Top Noted & Contributions:
- Journals: Several papers in prominent journals including International Journal of Machine Learning and Cybernetics, Neurocomputing, IEEE Access, and Sensors.
- Conferences: Contributions to conferences such as ICML, AAAI, ACM MM, and more, with papers accepted in CCF-A, CCF-B, and CCF-C category conferences.
Title: “Cross Channel Aggregation Similarity Network for Salient Object Detection”
- Journal: International Journal of Machine Learning and Cybernetics
- Year: 2022
- Citations: 8
Title: “UAST: Uncertainty-Aware Siamese Tracking”
- Conference: International Conference on Machine Learning (ICML), 2022
- Year: 2022
- Citations: 11
Title: “Deep Regression Tracking with Graph Attention”
- Conference: International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), 2022
- Year: 2022
- Citations: 0
Title: “CSART: Channel and Spatial Attention-Guided Residual Learning for Real-Time Object Tracking”
- Journal: Neurocomputing
- Year: 2021
- Citations: 19
Title: “Global Perception Attention Network for Fine-Grained Visual Classification”
- Conference: International Conference on Computer Communication and Artificial Intelligence (CCAI), 2021
- Year: 2021
- Citations: 0
Author Metrics:
- Total Citations: 170
- h-index: 8
- i10-index: 6
- Documents: 16
Research Timeline:
- Ongoing: Conducting research on Lightweight Siamese Networks for Efficient UAV Target Tracking (2023-2025).
- Ongoing: Leading research on Key Algorithms of Intelligent Video Surveillance System in Smart Campus (2023-2025).
- Ongoing: Participating in Information Asynchronous Propagation Traceability for Temporal Networks (2023-2025).
- Ongoing: Contributing to Research on Trusted Target Tracking Based on Deep Learning in Intelligent Video Analysis (2023-2026).
- Ongoing: Involved in Research on Visual Object Tracking Algorithms in Complex Scenarios (2022-2024).
