| 2025 | Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models. | Fengfan Zhou, Qianyu Zhou, Heifei Ling, Xuequan Lu |
| 2025 | ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2025 | Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. | Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao |
| 2025 | DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation. | Heyuan Zheng, Yunji Liang, Lei Liu, Zhiwen Yu |
| 2025 | Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem. | Jiongzhi Zheng, Mingming Jin, Kun He |
| 2025 | MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation. | Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao |
| 2025 | A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting. | Jiankai Zheng, Liang Xie |
| 2025 | Open-Vocabulary Fine-Grained Hand Action Detection. | Ting Zhe, Mengya Han, Xiaoshuai Hao, Yong Luo, Zheng He, Xiantao Cai, Jing Zhang |
| 2025 | Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding. | Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang |
| 2025 | Sanitizing Backdoored Graph Neural Networks: A Multidimensional Approach. | Rong Zhao, Jilian Zhang, Yu Wang, Yinyan Zhang, Jian Weng |
| 2025 | MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game. | Yang Zhao, Wenzhe Zhao, Xuelong Li |
| 2025 | CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation. | Zhongying Zhao, Jinyu Zhang, Chuanxu Jia, Chao Li, Yanwei Yu, Qingtian Zeng |
| 2025 | Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation. | Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh |
| 2025 | Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning. | Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao |
| 2025 | Negative Metric Learning for Graphs. | Yiyang Zhao, Chengpei Wu, Lilin Zhang, Ning Yang |
| 2025 | Dual Robust Unbiased Multi-View Clustering for Incomplete and Unpaired Information. | Liang Zhao, Ziyue Wang, Chuanye He, Qingchen Zhang, Bo Xu |
| 2025 | Efficient Diversity-based Experience Replay for Deep Reinforcement Learning. | Kaiyan Zhao, Yiming Wang, Yuyang Chen, Yan Li, Leong Hou U, Xiaoguang Niu |
| 2025 | A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning. | Xuejiao Zhao, Siyan Liu, Su-Yin Yang, Chunyan Miao |
| 2025 | Public Signaling in Markets with Information Asymmetry Using a Limited Number of Signals. | Xu Zhao, Ren Liu, Weiran Shen |
| 2025 | DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation. | Shiji Zhao, Shao-Yuan Li, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen |
| 2025 | Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection. | Shiman Zhao, Shangyuan Li, Wei Chen, Tengjiao Wang, Jiahui Yao, Jiabin Zheng, Kam-Fai Wong |
| 2025 | High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering. | Shuping Zhao, Lunke Fei, Qi Lai, Jie Wen, Jinrong Cui, Tingting Chai |
| 2025 | DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics. | Pengcheng Zhao, Xiaowei Ding |
| 2025 | RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis. | Zhikang Zhao, Kaitao Chen, Jing Zhao |
| 2025 | ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions. | Xuehan Zhao, Jiaqi Liu, Xin Zhang, Zhiwen Yu, Bin Guo |