Xu, Xiaolong

25 publications

NeurIPS 2025 A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments Siyuan Wu, Yongzhe Jia, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Lianyong Qi, Wanchun Dou

IJCAI 2025 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou

IJCAI 2025 CLLMRec: Contrastive Learning with LLMs-Based View Augmentation for Sequential Recommendation Fan Lu, Xiaolong Xu, Haolong Xiang, Lianyong Qi, Xiaokang Zhou, Fei Dai, Wanchun Dou

AAAI 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi

ICML 2025 DocKS-RAG: Optimizing Document-Level Relation Extraction Through LLM-Enhanced Hybrid Prompt Tuning Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou

ICCV 2025 Dual-Temporal Exemplar Representation Network for Video Semantic Segmentation Xiaolong Xu, Lei Zhang, Jiayi Li, Lituan Wang, Yifan Guan, Yu Yan, Leyi Zhang, Hao Song

IJCAI 2025 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan

AAAI 2025 Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou

NeurIPS 2025 HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-Tailed Sequential Recommendation Xiaolong Xu, Xudong Zhao, Haolong Xiang, Xuyun Zhang, Wei Shen, Hongsheng Hu, Lianyong Qi

IJCAI 2025 MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection Yifan Zhang, Haolong Xiang, Xiaolong Xu, Zishun Rui, Xiaoyong Li, Lianyong Qi, Fei Dai

AAAI 2025 NLGT: Neighborhood-Based and Label-Enhanced Graph Transformer Framework for Node Classification Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou

AAAI 2025 PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration Among Similar Classifiers Siyuan Wu, Yongzhe Jia, Bowen Liu, Haolong Xiang, Xiaolong Xu, Wanchun Dou

ICML 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian

AAAI 2025 Representation Learning Based Predicate Invention on Knowledge Graphs Man Zhu, Pengfei Huang, Lei Gu, Xiaolong Xu, Jingyu Han

CVPR 2025 UniNet: A Contrastive Learning-Guided Unified Framework with Feature Selection for Anomaly Detection Shun Wei, Jielin Jiang, Xiaolong Xu

IJCAI 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning Peng Chen, Haolong Xiang, Xin Du, Xiaolong Xu, Xuhao Jiang, Zhihui Lu, Jirui Yang, Qiang Duan, Wanchun Dou

IJCAI 2025 Where Does This Data Come from? Enhanced Source Inference Attacks in Federated Learning Haiyang Chen, Xiaolong Xu, Xiang Zhu, Xiaokang Zhou, Fei Dai, Yansong Gao, Xiao Chen, Shuo Wang, Hongsheng Hu

IJCAI 2024 Attention Based Document-Level Relation Extraction with None Class Ranking Loss Xiaolong Xu, Chenbin Li, Haolong Xiang, Lianyong Qi, Xuyun Zhang, Wanchun Dou

IJCAI 2024 Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou

NeurIPS 2024 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou

IJCAI 2024 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable than You Thought Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Lianyong Qi, Amin Beheshti, Xiaolong Xu, Kim-Kwang Raymond Choo, Shuo Wang, Hongsheng Hu

AAAI 2023 Differentially Private Learning with Per-Sample Adaptive Clipping Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu

IJCAI 2023 OptIForest: Optimal Isolation Forest for Anomaly Detection Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu

NeurIPSW 2023 Privacy-Preserving Design of Graph Neural Networks with Applications to Vertical Federated Learning Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, Xinyi Fu, Tengfei Liu, Tianyi Zhang, Weiqiang Wang

IJCAI 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen