| 2026 | AAAI | Do Large Language Models Reason About Uncertainty Like Humans? A Benchmark on Hurricane Forecast Visualization Comprehension. | Le Liu, Yuhao Wang, Bohan Shen, Wei Zeng, Shizhou Zhang, Di Xu, Peng Wang |
| 2026 | AAAI | Attention Retention for Continual Learning with Vision Transformers. | Yue Lu, Xiangyu Zhou, Shizhou Zhang, Yinghui Xing, Guoqiang Liang, Wencong Zhang |
| 2026 | AAAI | Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection. | Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Lingyan Ran, Dahu Shi, Peng Wang |
| 2026 | AAAI | DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance. | Yinghui Xing, Xiaoting Su, Shizhou Zhang, Donghao Chu, Di Xu |
| 2026 | AAAI | YOLO-IOD: Towards Real Time Incremental Object Detection. | Shizhou Zhang, Xueqiang Lv, Yinghui Xing, Qirui Wu, Di Xu, Chen Zhao, Yanning Zhang |
| 2025 | AAAI | Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning. | Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing, Nannan Wang, Yanning Zhang |
| 2025 | AAAI | ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing. | Yaohui Ma, Xiaopeng Hong, Shizhou Zhang, Huiyun Li, Zhilin Zhu, Wei Luo, Zhiheng Ma |
| 2025 | CVPR | Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening. | Yinghui Xing, Litao Qu, Shizhou Zhang, Di Xu, Yingkun Yang, Yanning Zhang |
| 2025 | CVPR | Revisiting Generative Replay for Class Incremental Object Detection. | Shizhou Zhang, Xueqiang Lv, Yinghui Xing, Qirui Wu, Di Xu, Yanning Zhang |
| 2025 | ICCV | Gradient Decomposition and Alignment for Incremental Object Detection. | Wenlong Luo, Shizhou Zhang, De Cheng, Yinghui Xing, Guoqiang Liang, Peng Wang, Yanning Zhang |
| 2025 | ICML | Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector. | Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang |
| 2025 | VINCI | ChatHSI: Reliable LLM-Powered Human-Swarm Interaction Framework. | Yiheng Zhang, Bohan Shen, Le Liu, Shizhou Zhang, Peng Wang, Lingyun Yu, Di Xu |
| 2024 | ECCV | Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach. | Shizhou Zhang, Wenlong Luo, De Cheng, Qingchun Yang, Lingyan Ran, Yinghui Xing, Yanning Zhang |
| 2024 | ICPR | Dual Supervised Contrastive Learning Based on Perturbation Uncertainty for Online Class Incremental Learning. | Shibin Su, Zhaojie Chen, Guoqiang Liang, Shizhou Zhang, Yanning Zhang |
| 2024 | ICPR | Dual-Branch Task Residual Enhancement with Parameter-Free Attention for Zero-Shot Multi-label Image Recognition. | Shizhou Zhang, Kairui Dang, De Cheng, Yinghui Xing, Qirui Wu, Dexuan Kong, Yanning Zhang |
| 2022 | ECCV | Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification. | Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang |
| 2019 | ICCV | Vehicle Re-Identification in Aerial Imagery: Dataset and Approach. | Peng Wang, Bingliang Jiao, Lu Yang, Yifei Yang, Shizhou Zhang, Wei Wei, Yanning Zhang |
| 2016 | IJCAI | Improving DCNN Performance with Sparse Category-Selective Objective Function. | Shizhou Zhang, Yihong Gong, Jinjun Wang |
| 2015 | ICIP | Incorporating image degeneration modeling with multitask learning for image super-resolution. | Yudong Liang, Jinjun Wang, Shizhou Zhang, Yihong Gong |
| 2014 | ICPR | Low Computation Face Verification Using Class Center Analysis. | Xinzi Zhang, Jinjun Wang, Yihong Gong, Shizhou Zhang, Shun Zhang |