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个人信息Personal Information
教授 博士生导师
性别：男
毕业院校：电子科技大学
学历：博士研究生毕业
学位：工学博士学位
在职信息：在职人员
所在单位：计算机科学与工程学院（网络空间安全学院）
学科：计算机科学与技术
办公地点：主楼B1-601
扫描关注
- [1] 2S通信：Multi-view Invariance Learning for 3D Scene Graph Pre-training via Collaborative Cross-Modal Regularization, accepted, The 40th AAAI Conference on Artificial Intelligence (AAAI 2026),Nov 2025.
- [2] 2S通信：SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection, accepted, The 40th AAAI Conference on Artificial Intelligence (AAAI 2026),Nov 2025.
- [3] 2S通信：Cross-domain Joint Learning with Prototype-guided Mixture-of-Experts for Infrared Moving Small Target Detection, accepted, The 40th AAAI Conference on Artificial Intelligence (AAAI 2026),Nov 2025.
- [4] 2S通信：Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy, accepted, The 40th AAAI Conference on Artificial Intelligence (AAAI 2026),Nov 2025.
- [5] 2S通信：Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target Detection， IEEE Transactions on Geoscience and Remote Sensing， vol. 63， pp. 1-14， Sep 2025.
- [6] 2S通信：Language-driven Motion Prior Knowledge Learning for Moving Infrared Small Target Detection， IEEE Trans. on Geoscience and Remote Sensing， vol. 63， pp. 1-14， Aug 2025.
- [7] 2S通信：Adaptive graph attention networks with interactive learning for attributed graph clustering， Engineering Applications of Artificial Intelligence， vol. 159，Part A， Jul 2025.
- [8] 2S通信：Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology，accepted， ICLR 2025， pp. 1-8， Jan 2025.
- [9] 2S通信：Spatial-Temporal-Channel Collaborative Feature Learning with Transformers for Infrared small target Detection， Image and Vision Computing， vol. 154， pp. 1-12， Jan 2025.
- [10] 2S通信：Moving Infrared Dim and Small Target Detection by Spatio-temporal Mixed Encoding， Engineering Applications of Artificial Intelligence， vol. 144， pp. 1-12， Jan 2025.
- [11] 2S通信：WSOE: Weakly Supervised Outlier Exposure for Object-level Out-of-distribution Detection， Expert Systems With Applications， vol. 270， pp. 1-15， Jan 2025.
- [12] 2S通信：Semi-supervised Multi-view Prototype Learning with Motion Reconstruction for Moving Infrared Small Target Detection， IEEE Trans. on Geoscience and Remote Sensing， vol. 63， pp. 1-15， Jan 2025.
- [13] 2S通信：Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification, Proceedings of the AAAI Conference on Artificial Intelligence, 39(3), 3158-3166， AAAI 2025， Apr 2025.
- [14] 2S通信：Mining In-distribution Attributes in Outliers for Out-of-distribution Detection, Proceedings of the AAAI Conference on Artificial Intelligence, 39(17), 18181-18188， AAAI 2025， Apr 2025.
- [15] 2S通信：Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection, Proceedings of the AAAI Conference on Artificial Intelligence, 39(2), 2186-2194， AAAI 2025， Apr 2025.
- [16] 2S通信：Spatio-temporal fusion with motion masks for the moving small target detection from remote-sensing videos， Engineering Applications of Artificial Intelligence， vol. 138， no. Part A， pp. 1-12， Sep 2024.
- [17] 2S通信：Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection， IEEE Transactions on Geoscience and Remote Sensing， vol. 62， pp. 1-14， Aug 2024.
- [18] 2S通信：Towards Dense Moving Infrared Small Target Detection: New Datasets and Baseline， IEEE Transactions on Geoscience and Remote Sensing， vol. 62， pp. 1-13， Aug 2024.
- [19] 2S通信：TMP: Temporal Motion Perception with spatial auxiliary enhancement for moving Infrared dim-small target detection， Expert Systems with Applications， vol. 255，Part C， pp. 124731， Jul 2024.
- [20] 2S通信：Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation， the Forty-first International Conference on Machine Learning (ICML 2024)， vol. 235， pp. 31262-31292， May 2024.