| 2025 | MCLPD: Multi-View Contrastive Learning for EEG-Based PD Detection Across Datasets. | Qian Zhang, Ruilin Zhang, Jun Xiao, Yifan Liu, Zhe Wang |
| 2025 | LAMM-ViT: AI Face Detection via Layer-Aware Modulation of Region-Guided Attention. | Jiangling Zhang, Weijie Zhu, Jirui Huang, Yaxiong Chen |
| 2025 | Adversarial Topic-Aware Prompt-Tuning for Cross-Topic Automated Essay Scoring. | Chunyun Zhang, Hongyan Zhao, Chaoran Cui, Qilong Song, Zhiqing Lu, Shuai Gong, Kailin Liu |
| 2025 | ToMacVF: Temporal Macro-Action Value Factorization for Asynchronous Multi-Agent Reinforcement Learning. | Wenjing Zhang, Wei Zhang |
| 2025 | GLEAM: Parameter-Efficient Transfer Learning via Global Share Local Transform Mixture-of-Experts. | Jiarui Zhang, Yue Xin, Yaoming Wang, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2025 | PRACTISED: Pattern-Based Representation Alignment for Cross-Domain Time Series Anomaly Detection. | Anyi Zhang, Peng Xu |
| 2025 | DetTrack: Realizing Strong Identity Preservation in Multi-Object Tracking via exploration of Detection Information. | Yi Zhang, Yi Su, Chen Luo |
| 2025 | Coalitions on the Fly in Cooperative Games. | Yao Zhang, Indrajit Saha, Zhaohong Sun, Makoto Yokoo |
| 2025 | Edge-Centric Heterogeneous Graph Transformer with Vector-Quantized Memory. | Qiannan Zhang, Shichao Pei |
| 2025 | FedSign: Federated Learning for Enhancing Sign Language Recognition with Adaptive Model Selection. | Haoqi Zhang, Yijie Liu, Ruiquan Zhang, Yidong Chen |
| 2025 | Toward Realistic Co-Speech Motion via Cross-Modal Spatial-Temporal Attention and Hand Memory Module. | Jiye Zhang, Dingwei Liu, Guibiao Liao, Xiuhua Jiang, Jiangbo Xu |
| 2025 | A Contrastive Diffusion-Based Network (CDNet) for Time Series Classification. | Yaoyu Zhang, Chi-Guhn Lee |
| 2025 | Multimodal Semantic Decoupled Prompt for Zero-Shot Referring Expression Comprehension. | Yuxuan Zhang, Longfei Huang, Yang Yang |
| 2025 | Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations. | Hanping Zhang, Yuhong Guo |
| 2025 | Exploring Topological Bias in Heterogeneous Graph Neural Networks. | Yihan Zhang |
| 2025 | Diffusion Noise Feature: Accurate and Fast Generated Image Detection. | Yichi Zhang, Xiaogang Xu |
| 2025 | A Self-Adaptive Frequency Domain Network for Continuous Intraoperative Hypotension Prediction. | Xian Zeng, Tianze Xu, Kai Yang, Jie Sun, Youran Wang, Jun Xu, Mucheng Ren |
| 2025 | WSiG: A Graph Neural Network for Whole Slide Image Classification. | Guangjian Zeng, Siyuan Tao, Yi Gao, Tian Mou |
| 2025 | Multi-Hop Contrastive Learning with Feature Augmentation for Node Classification. | Xuxia Zeng, Guangquan Lu, Cuifang Zou, Shilong Lin, Longqing Du, Shichao Zhang |
| 2025 | Accelerating Transformers in Online RL. | Daniil Zelezetsky, Alexey K. Kovalev, Aleksandr I. Panov |
| 2025 | KG-HTC: Integrating Knowledge Graphs into LLMs for Zero-Shot Hierarchical Text Classification. | Qianbo Zang, Igor Tchappi, Christophe Zgrzendek, Afshin Khadangi, Johannes Sedlmeir |
| 2025 | Can Large Language Models Compete with Specialized Models in Lexical Semantic Change Detection? | Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg, Nikolay Arefyev |
| 2025 | Automatic Calibration for Membership Inference Attack on Large Language Models. | Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu |
| 2025 | Dynamic Multi-Target Fusion for Efficient Audio-Visual Navigation. | Yinfeng Yu, Hailong Zhang, Meiling Zhu |
| 2025 | PCFNet: Enhancing Time Series Forecasting Through Preserving Constant Frequency. | Wenjun Yu, Wen Li, Wentao Gao, Wangyu Wu, Shouguo Du, Jiyanglin Li |