姜阳邦彦，副教授、岳麓学者晨星岗，博士生导师，王耀南院士、刘敏教授团队成员，师从中国科学院黄庆明教授、许倩倩研究员。研究方向为多媒体分析与机器学习，先后在TPAMI、TIP、ICML、NeurIPS、AAAI、ACM MM等CCF-A类国际期刊/会议发表论文20余篇。主持国家自然科学基金青年基金C类、国家资助博士后研究人员计划B档、CCF-深信服“远望”科研基金等项目，担任NeurIPS、ICML、ICLR、AAAI、CVPR、ICCV及TPAMI、TKDE等国际会议/期刊审稿人。入选北京市科协青年托举人才工程、中国图像图形学会博士学位论文激励计划、中国科学院优秀博士学位论文、ACM中国SIGMM优秀博士学位论文，先后获得吴文俊人工智能科技进步二等奖、微软学者奖学金（亚太地区共12人）、首都前沿学术成果奖、北京市优秀毕业生等荣誉，获CCF-A类国际会议竞赛冠军2项，及ICML 2022/NeurIPS 2020 Top-10%审稿人称号。
邮箱：jiangyangbangyan at hnu.edu.cn
团队招收博士后、博士、硕士、本科生，欢迎充满自驱力并对模式识别、多模态学习等方向感兴趣的同学加入。长期与新加坡国立大学、中国科学院计算技术研究所、中国科学院自动化研究所、北京航空航天大学、北京邮电大学、中山大学等高校和研究机构保持密切合作，可为优秀学生提供推荐深造渠道。
教育与工作经历：
2026-07至今，湖南大学 人工智能与机器人学院，副教授
2023-07—2026-06，中国科学院大学 计算机科学与技术学院，博士后、特别研究助理
2017-09—2023-06，中国科学院信息工程研究所，工学博士，师从黄庆明教授、许倩倩研究员
2013-09—2017-06，北京航空航天大学，工学学士
研究方向：
-弱监督学习
-多模态信息融合与理解
-多模态大模型/生成模型安全
代表性成果：
1. Yangbangyan Jiang, Qianqian Xu, Huiyang Shao, Zhiyong Yang, Shilong Bao, Xiaochun Cao, and Qingming Huang. Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 48(3): 3482-3498, Mar. 2026. (Regular paper)
2. Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, and Qingming Huang. Positive-Unlabeled Learning with Label Distribution Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(12): 15345-15363, Dec. 2023. (Regular paper)
3. Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang. MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(5): 5970-5987, May 2023. (Regular paper)
4. Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, and Qingming Huang. What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI Conference on Artificial Intelligence (AAAI), 1708-1716, 2021.
5. Zhipeng Yu, Qianqian Xu,Yangbangyan Jiang*, Yingfei Sun*, and Qingming Huang. Enhancing Sample Utilization in Noise-robust Deep Metric Learning with Subgroup-based Positive-pair Selection. IEEE Transactions on Image Processing (TIP), 33: 6083-6097, Oct. 2024. (Regular paper)
6. Qianqian Xu, Zhiyong Yang,Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, and Qingming Huang. Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(6): 3154-3169, Jun. 2022. (Regular paper)
7. Dongpeng Zhang, Ke Ma,Yangbangyan Jiang, Gaozheng Pei, Longtao Huang, Qianqian Xu, and Qingming Huang. Localize and Neutralize: Gradient-Guided Token Suppression Against Visual Prompt Injection Attack. International Conference on Machine Learning (ICML), 2026.
8. Peng Li, Qianqian Xu,Yangbangyan Jiang, Zhipeng Yu, Qingming Huang. The Price of Consistency: Exploiting Visual Anchors for Multimodal Jailbreaking in Video Generation. ACM International Conference on Multimedia (ACM MM), 2026.
9. Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen,Yangbangyan Jiang, and Qingming Huang. AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. Advances in Neural Information Processing Systems (NeurIPS), 126863-126907, 2024.
10. Junwei He, Qianqian Xu,Yangbangyan Jiang, Zitai Wang, and Qingming Huang. ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI Conference on Artificial Intelligence (AAAI), 8481-8489, 2024.
11. Junwei He, Qianqian Xu,Yangbangyan Jiang, Zitai Wang, Yuchen Sun, and Qingming Huang. HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. ACM International Conference on Multimedia (ACM MM), 1544-1553, 2024.
12. Yijia Wang, Qianqian Xu,Yangbangyan Jiang, Siran Dai, and Qingming Huang. Regularized Contrastive Partial Multi-view Outlier Detection. ACM International Conference on Multimedia (ACM MM), 8711-8720, 2024.
13. Wenxin Ni, Qianqian Xu,Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, and Qingming Huang. PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. ACM International Conference on Multimedia (ACM MM), 3489-3497, 2023.
14. Yunrui Zhao, Qianqian Xu,Yangbangyan Jiang, Peisong Wen, and Qingming Huang. Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14461-14470, 2022.
15. Zhipeng Yu, Qianqian Xu,Yangbangyan Jiang, Haoyu Qin, and Qingming Huang. Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. ACM International Conference on Multimedia (ACM MM), 5862-5870, 2022. (Oral)
荣誉奖励：
-中国图像图形学会博士学位论文激励计划，2023
-中国科学院优秀博士学位论文，2024
-ACM中国SIGMM优秀博士学位论文，2023
-北京市科学技术协会青年托举人才工程，2024
-吴文俊人工智能科技进步二等奖，2022
-微软学者奖学金，2020
-首都前沿学术成果奖，2022
-北京市优秀毕业生，2023
-ICML 2022 Top 10%审稿人，2022
-NeurIPS 2020 Top 10%审稿人，2020
