Qi, Lianyong

18 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

CVPR 2025 Distinguish Then Exploit: Source-Free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi

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

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

IJCAI 2025 Fine-Grained and Efficient Self-Unlearning with Layered Iteration Hongyi Lyu, Xuyun Zhang, Hongsheng Hu, Shuo Wang, Chaoxiang He, Lianyong Qi

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

NeurIPS 2025 Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization Weiming Liu, Xinting Liao, Jun Dan, Fan Wang, Hua Yu, Junhao Dong, Shunjie Dong, Lianyong Qi, Yew-Soon Ong

IJCAI 2025 Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou

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

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