| 2024 | ABM: Attention before Manipulation. | Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun |
| 2024 | FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. | Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li |
| 2024 | Towards Sharper Risk Bounds for Minimax Problems. | Bowei Zhu, Shaojie Li, Yong Liu |
| 2024 | R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. | Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao |
| 2024 | Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. | Qikui Zhu, Chuan Fu, Shuo Li |
| 2024 | CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention. | Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu |
| 2024 | vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. | Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan |
| 2024 | Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. | Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su |
| 2024 | PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds. | Zehan Zhu, Yan Huang, Xin Wang, Jinming Xu |
| 2024 | Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints. | Yanhui Zhu, Samik Basu, A. Pavan |
| 2024 | Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning. | Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li, Kui Xiao |
| 2024 | A Strategic Analysis of Prepayments in Financial Credit Networks. | Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge |
| 2024 | Rethinking Centered Kernel Alignment in Knowledge Distillation. | Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin |
| 2024 | Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition. | Bangbang Zhou, Yadong Qu, Zixiao Wang, Zicheng Li, Boqiang Zhang, Hongtao Xie |
| 2024 | SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting. | Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang |
| 2024 | CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. | Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang, Xiaohui Liang |
| 2024 | Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data. | Xiren Zhou, Shikang Liu, Ao Chen, Huanhuan Chen |
| 2024 | Zero-Shot Sketch Based Image Retrieval via Modality Capacity Guidance. | Yanghong Zhou, Dawei Liu, P. Y. Mok |
| 2024 | Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents. | Zihao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu |
| 2024 | SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers. | Chengjie Zhou, Chao Che, Pengfei Wang, Qiang Zhang |
| 2024 | Generalized Taxonomy-Guided Graph Neural Networks. | Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang |
| 2024 | Boosting Model Resilience via Implicit Adversarial Data Augmentation. | Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang |
| 2024 | Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. | Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao |
| 2024 | Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. | Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang |
| 2024 | Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |