| 2025 | Winning Brick by Brick with Daily Slices: A 94-Task Unified XGBoost Solution for Brick Schema Classification. | Meilan Xu, Zheng Wen, Xiuqing Xiang, Wenjie Fu, Bing Wang |
| 2025 | HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. | Wenyan Xu, Rundong Wang, Chen Li, Yonghong Hu, Zhonghua Lu |
| 2025 | Workshop on Sustainable AI for the Future Web. | Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen |
| 2025 | Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions. | Lin Xu, Yuankai Wu |
| 2025 | MAQInstruct: Instruction-based Unified Event Relation Extraction. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou |
| 2025 | Compress and Mix: Advancing Efficient Taxonomy Completion with Large Language Models. | Hongyuan Xu, Yuhang Niu, Yanlong Wen, Xiaojie Yuan |
| 2025 | Quantitative Runtime Monitoring of Ethereum Transaction Attacks. | Xinyao Xu, Ziyu Mao, Jianzhong Su, Xingwei Lin, David A. Basin, Jun Sun, Jingyi Wang |
| 2025 | Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. | Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia |
| 2025 | RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning. | Jian Xu, Sichun Luo, Xiangyu Chen, Haoming Huang, Hanxu Hou, Linqi Song |
| 2025 | Fairness Evaluation with Item Response Theory. | Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi |
| 2025 | Fair Personalized Learner Modeling Without Sensitive Attributes. | Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang |
| 2025 | Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models. | Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu |
| 2025 | AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. | Zhenghai Xue, Qingpeng Cai, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An |
| 2025 | MDAM | Qingzheng Xu, Heming Du, Szymon Lukasik, Tianqing Zhu, Sen Wang, Xin Yu |
| 2025 | Personalized Image Generation with Large Multimodal Models. | Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He |
| 2025 | Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation. | Zitao Xu, Xiaoqing Chen, Weike Pan, Zhong Ming |
| 2025 | MaSH: Maximal Separating Poincar Hyperplanes for Hierarchical Imbalanced Learning. | Bo Xiong, Jiaying Lu, Yuqicheng Zhu, Carl Yang |
| 2025 | ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems. | Haibo Xing, Kanefumi Matsuyama, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng |
| 2025 | Generative Prompting for Complex Product Retrieval. | Nan Xi, Jingjing Meng, Yitian Chen, Chaosheng Dong, Yan Gao, Yi Sun, Junsong Yuan |
| 2025 | Diffusion-based Graph-agnostic Clustering. | Kun Xie, Renchi Yang, Sibo Wang |
| 2025 | High-Performance and Secure Jaccard Similarity Estimation for Cloud Storage. | Zhixiong Xie, Wenlong Tian, Jianfeng Lu, Weijun Xiao, Zhiyong Xu |
| 2025 | Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies. | Yongzheng Xie, Hongyu Zhang, Muhammad Ali Babar |
| 2025 | Disentangled Condensation for Large-scale Graphs. | Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang, Mingli Song, Tongya Zheng |
| 2025 | Community Detection in Large-Scale Complex Networks via Structural Entropy Game. | Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu |
| 2025 | Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment. | Mengyu Xiang, Yuxuan Song, Qiudan Li, Shu Wu, Daniel Dajun Zeng |