| 2025 | From Policy Comparison to Process Consistency and Beyond. | Yifan Xu, Yujia Yin, Yiming Xing, Yifan Chen |
| 2025 | Contrastive Multi-View Graph Hashing. | Yang Xu, Zuliang Yang, Kai Ming Ting |
| 2025 | The Structure of Cross-National Collaboration in Open-Source Software Development. | Henry George Xu, Tielin Katy Yu, Hao He, Hongbo Fang, Bogdan Vasilescu, Patrick S. Park |
| 2025 | Untitled record | Huanwei Xu, Lin Xu, Liang Yuan |
| 2025 | Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning. | Yifei Xu, Jiaying Wu, Herun Wan, Yang Li, Zhen Hou, Min-Yen Kan |
| 2025 | Climber: Toward Efficient Scaling Laws for Large Recommendation Models. | Songpei Xu, Shijia Wang, Da Guo, Xianwen Guo, Qiang Xiao, Bin Huang, Guanlin Wu, Chuanjiang Luo |
| 2025 | LiveVal: Real-time and Trajectory-based Data Valuation via Adaptive Reference Points. | Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia |
| 2025 | KV-Auditor: Auditing Local Differential Privacy for Correlated Key-Value Estimation. | Jingnan Xu, Leixia Wang, Xiaofeng Meng |
| 2025 | Reinforcement Learning-Driven Generative Retrieval with Semantic-aligned Multi-Layer Identifiers. | Bo Xu, Yicen Tian, Xiaokun Zhang, Erchen Yu, Dailin Li, Linlin Zong, Hongfei Lin |
| 2025 | LGC-CR: Few-shot Knowledge Graph Completion via Local Global Contrastive Learning and LLM-Guided Refinement. | Yiming Xu, Qi Song, Yihan Wang, Wangqiu Zhou, Junli Liang |
| 2025 | KALE: Knowledge Aggregation for Label-free Model Enhancement. | Yuebin Xu, Xuemei Peng, Zhiyi Chen, Zeyi Wen |
| 2025 | Improving Recommendation Fairness via Graph Structure and Representation Augmentation. | Tongxin Xu, Wenqiang Liu, Chenzhong Bin, Cihan Xiao, Zhixin Zeng, Tianlong Gu |
| 2025 | In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. | Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash |
| 2025 | JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference. | Zongyue Xue, Siyuan Zheng, Shaochun Wang, Yiran Hu, Yuxin Yao, Shengran Wang, Haitao Li, Qingyao Ai, Yiqun Liu, Yun Liu, Weixing Shen |
| 2025 | SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting. | Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu |
| 2025 | Multi-Behavior Intent Disentanglement for Recommendation via Information Bottleneck Principle. | Tongxin Xu, Chenzhong Bin, Cihan Xiao, Yunhui Li, Tianlong Gu |
| 2025 | Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. | Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan |
| 2025 | FedGC: Contrastive-enhanced Subgraph Federated Learning with Grouping Pseudo-Label. | Keao Xi, Nannan Wu, Yiming Zhao, Wenjun Wang |
| 2025 | Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs. | Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim |
| 2025 | Interactive Text-to-Visualization: Refining Visualization Outputs Through Natural Language User Feedback. | Xubang Xiong, Raymond Chi-Wing Wong, Yuanfeng Song |
| 2025 | Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search. | Zeyu Xiong, Yixuan Nan, Li Gao, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin |
| 2025 | ESED: Emotion-Specific Evidence Decomposition for Uncertainty-Aware Multimodal Emotion Recognition in Conversation. | Zechang Xiong, Zhenyan Ji, Wenkang Kong, Jiuqian Dai, Shen Yin |
| 2025 | Multi-Turn Interactions for Text-to-SQL with Large Language Models. | Guanming Xiong, Junwei Bao, Hongfei Jiang, Yang Song, Wen Zhao |
| 2025 | LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking. | Amy Xin, Yunjia Qi, Zijun Yao, Fangwei Zhu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li |
| 2025 | A Robust and High-Efficiency Active Clustering Framework with Multi-User Collaboration. | Wen-Bo Xie, Tian Zou, Tao Deng, Xuan-Lin Zhu, Xun Fu, Qiu-Yu Wang, Bin Chen, Xin Wang |