主要研究方向
机器学习、计算机视觉、超图学习、物联网应用

研究领域
.超图学习
.计算机视觉
.物联网应用

获奖
.教育部科研优秀成果奖二等奖
.江苏省高等教育教学成果奖二等奖

代表作
.Zhe Yang, Zitong Ma, Wenbo Zhao, Lingzhi Li, Fei Gu. HRNN: Hypergraph Recurrent Neural Network for Network Intrusion Detection [J]. Journal of Grid Computing, 2024, 22:52. https://doi.org/10.1007/s10723-024-09767-1
.Zhe Yang, Liangkui Xu, Lei Zhao. EFBH: Collaborative Filtering Model Based on Multi-Hypergraph Encoder [J]. IEEE Transactions on Consumer Electronics, 2024, 70(1): 2939-2948. https://doi.org/10.1109/TCE.2023.3319632
.Zhe Yang, Haocheng Fu. Enhancing Small Object Detection in Aerial Images Under Multi-Weather Conditions [C]. Proceedings of the 42nd Computer Graphics International, CGI 2025, HongKong, China, July 14-18, Lecture Notes in Computer Science, vol 16508: 104-116. Springer, Singapore. https://link.springer.com/chapter/10.1007/978-3-032-22264-0_9
.Zhe Yang, Tiantian Liang. Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation [C]. Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, pages 1377–1386. https://aclanthology.org/2025.coling-main.92
.Huinan Gu; Zhe Yang. DSGCL: Dual Sampling with High-Order Collaboration for Graph Contrastive Learning [C]. Proceedings of 31st International Conference on Database Systems for Advanced Applications. DASFAA 2026, Jeju, South Korea, April 27-30. Lecture Notes in Computer Science, vol 16539: 305-321. Springer, Singapore. https://link.springer.com/chapter/10.1007/978-981-92-0375-8_19

个人简介

杨哲，男，博士，院长助理/实验教学中心主任。国家信息安全测评中心注册工程师/一级讲师，江苏省政协委员，苏州市政协常委，双创领军人才。主要研究方向为机器学习、机器视觉、物联网应用技术等。先后主持或参与了国家自然科学基金项目3项，国家发改委物联网重大示范应用项目2项，江苏省自然科学基金项目2项，江苏省产学研联合创新资金项目3项，江苏省高校自然科学基础研究项目3项。累计发表了近80篇科研论文，出版专著1部，获8项授权发明专利，2项实用新型专利，100多项软件著作权。获得过教育部科研优秀成果二等奖，全国高校计算机网络教学案例一等奖，江苏省高等教育教学成果二等奖，其他教学奖和成果奖20多项，出版教材2部。