
Weibing ZHAO
Tenure- track Associate Professor of AI at SMBU
赵伟兵
邮箱:weibingzhao@smbu.edu.cn
赵伟兵,深圳北理莫斯科大学工程系预聘副教授、硕士生导师。2018年7月于北京师范大学获得计算机科学与技术专业理学学士学位,2024年3月于香港中文大学(深圳)获得计算机与信息工程专业工学博士学位。赵伟兵于人工智能、计算机视觉、医疗图像等领域的顶级期刊与顶级会议上发表学术论文17篇,其中以第一作者或通讯作者在T-IP、T-ITS、T-KDE、IOT-J、ESWA、AAAI、IJCAI、ACM MM、MICCAI发表学术论文10篇;主持广东省普通高校重点领域项目1项,参与深圳市基础研究专项重点项目1项,获得授权发明专利4项。
研究方向:人工智能、计算机视觉、医学图像分析
Zhao Weibing is a Tenure-Track Associate Professor and master’s supervisor in the Faculty of Engineering at Shenzhen MSU-BIT University. She received her Bachelor of Science degree in Computer Science and Technology from Beijing Normal University in July 2018, and her Doctor of Philosophy degree in Computer and Information Engineering from The Chinese University of Hong Kong, Shenzhen in March 2024.
She has published 17 academic papers in top-tier journals and conferences in the fields of artificial intelligence, computer vision, and medical imaging. Among these, 10 papers were published as first author or corresponding author in prestigious venues such as T-IP, T-ITS, T-KDE, IOT-J, ESWA, AAAI, IJCAI, ACM MM, and MICCAI. She leads one Key-Area Research Project in Guangdong Provincial Universities, contributes to one Shenzhen Basic Research Project (Natural Science Foundation) in Key Areas, and holds 4 authorized invention patents.
Research Interests: Artificial Intelligence, Computer Vision, Medical Image Analysis
招生:本课题组与医院深度合作,聚焦于医疗智能体、医学视觉-语言模型及AI辅助诊断的研究工作。团队已积累多个高质量、经过清洗标注的医学临床私有数据集,并拥有扎实的前期工作基础。现诚邀对智慧医疗领域有浓厚兴趣的同学加入,申请者需满足以下要求:熟练掌握Python编程;熟悉深度学习框架(如PyTorch);了解大语言模型、智能体等前沿技术;或具备网页前端开发基础。
Selected Papers:
[1] W. Zhao, H. Zhang, C. Zheng, X. Yan, S. Cui, and Z. Li. "Cpu: Codebook lookup transformer with knowledge distillation for point cloud upsampling", Proceedings of the 31st ACM International Conference on Multimedia (ACM MM). 2023: 3917-3925.
[2] W. Zhao, X. Yan, J. Gao, R. Zhang, J. Zhang, Z. Li, S. Wu, and S. Cui. "PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery", Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI). 2021: 1345-1351.
[3] H. Zhang, Y. Long, Y. Fan, Y. Wang, Z. Zhan, S. Wang, Y. Jiang, R. Sun, Z. Xing, Z. Li, X. Duan, and W. Zhao*. "Cervical-RG: Automated Cervical Cancer Report Generation from 3D Multi-sequence MRI via CoT-Guided Hierarchical Experts." International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
[4] J. Wang, X. Liu, Z. Gong, L. Yang, H. Zhang, Y. Long, Y. Fan, Y. Jiang, X. Duan, and W. Zhao*. "HARM3-Fusion: Hierarchical Attentional Representation Learning of Multi-modal, Multi-temporal, and Multi-sequence Fusion for Pathological Complete Response Prediction of Head and Neck Squamous Cell Carcinoma." International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
[5] Z. Xing, and W. Zhao*. "Segmentation and completion of human motion sequence via temporal learning of subspace variety model", IEEE Transactions on Image Processing (T-IP), vol. 33. 2024: 5783-5797.
[6] Z. Xing, and W. Zhao*. "Trajectory Map-Matching in Urban Road Networks Based on RSS Measurements", IEEE Transactions on Intelligent Transportation Systems (T-ITS), vol. 26, no. 4, pp. 4647-4660, April 2025, doi: 10.1109/TITS.2025.3544399.
[7] Z. Xing, and W. Zhao*. "Block-Diagonal Structure Learning for Subspace Clustering". Expert Systems With Applications (ESWA), Apr. 2025: 127767.
[8] Z. Xing, and W. Zhao*. "Block-Diagonal Guided DBSCAN Clustering". IEEE Transactions on Knowledge and Data Engineering (T-KDE), vol. 36, no. 11, pp. 5709-5722, Nov. 2024, doi: 10.1109/TKDE.2024.3401075.
[9] Z. Xing, and W. Zhao*. "Calibration-Free Indoor Positioning via Regional Channel Tracing", IEEE Internet of Things Journal (IOT-J), vol. 12, no. 5, pp. 5449-5461, 1 March1, 2025, doi: 10.1109/JIOT.2024.3486622.
[10] Z. Xing, and W. Zhao*. "Unsupervised action segmentation via fast learning of semantically consistent actoms", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2024, 38(6): 6270-6278.
[11] X. Yan, W. Zhao, K. Yuan, R. Zhang, Z. Li, and S. Cui. "Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation", European Conference on Computer Vision (ECCV). 2020: 52-68.
* indicates corresponding author