| 2024 | Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge. | Yupei Yang, Biwei Huang, Shikui Tu, Lei Xu |
| 2024 | Dynamic against Dynamic: An Open-Set Self-Learning Framework. | Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen |
| 2024 | Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers. | Qingyuan Yang, Hu Ding |
| 2024 | Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification. | Teng Yang, Song Xiao, Wenqian Dong, Jiahui Qu, Yueguang Yang |
| 2024 | Online Submodular Maximization via Adaptive Thresholds. | Zhengchen Yang, Jiping Zheng |
| 2024 | Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks. | Pei Xu, Junge Zhang, Kaiqi Huang |
| 2024 | Trusted Multi-view Learning with Label Noise. | Cai Xu, Yilin Zhang, Ziyu Guan, Wei Zhao |
| 2024 | FedFa: A Fully Asynchronous Training Paradigm for Federated Learning. | Haotian Xu, Zhaorui Zhang, Sheng Di, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao |
| 2024 | CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling. | Zhuo Xu, Xiao Zhou |
| 2024 | It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models. | Xingcheng Xu, Zihao Pan, Haipeng Zhang, Yanqing Yang |
| 2024 | FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning. | Yi Xu, Ying Li, Haoyu Luo, Xiaoliang Fan, Xiao Liu |
| 2024 | Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval. | Yang Xu, Yifan Feng, Yue Gao |
| 2024 | LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels. | Zongyue Xue, Huanghai Liu, Yiran Hu, Yuliang Qian, Yajing Wang, Kangle Kong, Chenlu Wang, Yun Liu, Weixing Shen |
| 2024 | ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. | Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin |
| 2024 | Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. | Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu |
| 2024 | Reinforcement Learning from Diverse Human Preferences. | Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu |
| 2024 | Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond. | Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, Xiaobo Sun |
| 2024 | Machine Unlearning: Challenges in Data Quality and Access. | Miao Xu |
| 2024 | Learning Spatial Similarity Distribution for Few-shot Object Counting. | Yuanwu Xu, Feifan Song, Haofeng Zhang |
| 2024 | TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. | Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding |
| 2024 | Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. | Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng |
| 2024 | Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer. | Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li |
| 2024 | Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. | Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang |
| 2024 | Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation. | Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Shifeng Zhang, Yongdong Zhang |
| 2024 | Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation. | Fei Xiong, Haoran Sun, Gui Xun Luo, Shirui Pan, Meikang Qiu, Liang Wang |