| 2026 | AAAI | DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning. | Lifan Jiang, Mengying Zhu, Yangyang Wu, Xuan Liu, Xiaolin Zheng, Shenglin Ben |
| 2026 | AAAI | Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. | Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen |
| 2026 | AAAI | TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains. | Yidan Sun, Mengying Zhu, Feiyue Chen, Yangyang Wu, Xiaolei Dan, Mengyuan Yang, Xiaolin Zheng, Shenglin Ben |
| 2026 | WWW | LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation. | Pengyang Zhou, Zhihao Huang, Jiahe Xu, Wu Wen, Xiaolin Zheng, Chaochao Chen, Jianwei Yin |
| 2026 | WWW | FeedGuard: Online Critic-Guided Reinforcement Learning with Privacy-Preserving Feedback for Recommendation. | Mengying Zhu, Feiyue Chen, Lifan Jiang, Mengyuan Yang, Yangyang Wu, Guanjie Cheng, Xiaolin Zheng |
| 2025 | AAAI | DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. | Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin |
| 2025 | AAAI | LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. | Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng |
| 2025 | AAAI | FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | ICLR | Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. | Xiaohua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2025 | ICML | FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. | Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua |
| 2025 | ICML | Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization. | Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng |
| 2025 | KDD | Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation. | Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin |
| 2025 | KDD | Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. | Huabin Zhu, Chaochao Chen, Xinting Liao, Pengyang Zhou, Xiaolin Zheng |
| 2025 | WWW | Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang |
| 2025 | WWW | Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. | Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Li Zhang, Chaochao Chen, Xiaolin Zheng |
| 2025 | SIGIR | Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | WSDM | FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang |
| 2024 | AAAI | Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. | Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin |
| 2024 | AAAI | Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong |
| 2024 | AAAI | Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. | Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin |
| 2024 | AAAI | ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction. | Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin, Xiaolin Zheng |
| 2024 | CSCWD | Byzantine-Robust Compressed and Momentum-based Variance Reduction in Federated Learning. | Sihan Mao, Jianguang Zhang, Xiaodong Hu, Xiaolin Zheng |
| 2024 | CVPR | Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. | Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan |
| 2024 | GLOBECOM | Modeling and Analysis of Over-the-Air Attack with QoS-Aware Scheduling: Queuing-based Approach. | Chen Zhang, Huici Wu, Xiaolin Zheng, Guoshun Nan, Xiaofeng Tao |
| 2024 | ICML | Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong |
| 2024 | IJCAI | Protecting Split Learning by Potential Energy Loss. | Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin |
| 2024 | ICWS | HEDGE: Heterogeneous Semantic Dynamic Graph Framework for Log Anomaly Detection in Digital Service Network. | Bohao Qian, Mengying Zhu, Mengyuan Yang, Enze Wu, Guojie Xie, Yuebing Liang, Xiaolin Zheng |
| 2024 | KDD | CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. | Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng |
| 2024 | SIGIR | Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. | Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li |
| 2024 | SIGIR | Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. | Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng |
| 2023 | AAAI | Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. | Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng |
| 2023 | AAAI | PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. | Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen |
| 2023 | ACL | Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. | Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao |
| 2023 | CIKM | Decentralized Graph Neural Network for Privacy-Preserving Recommendation. | Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang |
| 2023 | ICONIP | PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression. | Sihan Mao, Xiaolin Zheng, Jianguang Zhang, Xiaodong Hu |
| 2023 | IJCAI | Spotlight News Driven Quantitative Trading Based on Trajectory Optimization. | Mengyuan Yang, Mengying Zhu, Qianqiao Liang, Xiaolin Zheng, Menghan Wang |
| 2023 | IJCAI | Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. | Xiaolin Zheng, Mengpu Liu, Mengying Zhu |
| 2023 | ICWS | Incentive-Driven Pricing Game for Multi-Edge Service Providers towards Optimal Profits. | Shengye Pang, Xinkui Zhao, Jiayin Luo, Bangpeng Zheng, Jianwei Yin, Xiaolin Zheng |
| 2023 | ICWS | Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. | Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian |
| 2023 | ICWS | Federated Learning on Non-iid Data via Local and Global Distillation. | Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong |
| 2023 | WWW | Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. | Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao |
| 2023 | WWW | Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan |
| 2023 | WWW | Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. | Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu |
| 2022 | CIKM | Partial Relaxed Optimal Transport for Denoised Recommendation. | Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng |
| 2022 | ICDE | Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng |
| 2022 | IJCAI | Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. | Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng |
| 2022 | IJCAI | HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. | Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng |
| 2022 | IJCAI | A Smart Trader for Portfolio Management based on Normalizing Flows. | Mengyuan Yang, Xiaolin Zheng, Qianqiao Liang, Bing Han, Mengying Zhu |
| 2022 | KDD | 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. | Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang |
| 2022 | WWW | Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. | Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang |
| 2022 | WWW | Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen |
| 2022 | WWW | WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management. | Mengying Zhu, Yan Wang, Fei Wu, Mengyuan Yang, Cheng Chen, Qianqiao Liang, Xiaolin Zheng |
| 2022 | SIGIR | Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen |
| 2022 | SIGIR | MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2021 | EMNLP | Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation. | Ke Wang, Yangbin Shi, Jiayi Wang, Yuqi Zhang, Yu Zhao, Xiaolin Zheng |
| 2021 | ICDE | Multi-Facet Recommender Networks with Spherical Optimization. | Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng |
| 2021 | IJCAI | An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets. | Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang |
| 2020 | IJCAI | A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. | Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng |
| 2020 | IJCAI | Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit. | Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang |
| 2019 | CIKM | DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. | Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng |
| 2018 | AAAI | Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation. | Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang |
| 2018 | IJCAI | Recurrent Collaborative Filtering for Unifying General and Sequential Recommender. | Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang |
| 2018 | SECON | How Local Information Improves Rendezvous in Cognitive Radio Networks. | Yongqin Fu, Yuexuan Wang, Zhaoquan Gu, Xiaolin Zheng, Tianhao Wei, Zhen Cao, Heming Cui, Francis C. M. Lau |
| 2016 | AAAI | Capturing Semantic Correlation for Item Recommendation in Tagging Systems. | Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen |
| 2014 | AAAI | Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems. | Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin |
| 2013 | APWEB | A Recommender System Model Combining Trust with Topic Maps. | Zukun Yu, William Wei Song, Xiaolin Zheng, Deren Chen |
| 2013 | WISE | Making Recommendations on Microblogs through Topic Modeling. | Chaochao Chen, Xiaolin Zheng, Chaofei Zhou, Deren Chen |
| 2009 | DASC | Dynamic Social Network Analysis Using Latent Space Model and an Integrated Clustering Algorithm. | Aiwu Xu, Xiaolin Zheng |
| 2009 | ICWS | The Fourth Party Service Platform and Service Charging. | Xuhui He, Xiaolin Zheng, Deren Chen, Jianyue Wang |
| 2008 | WWW | Context-sensitive QoS model: a rule-based approach to web service composition. | Tao Zhou, Xiaolin Zheng, William Wei Song, Xiaofeng Du, Deren Chen |
| 2008 | SERVICES | Policy-Based Web Service Selection in Context Sensitive Environment. | Tao Zhou, Xiaolin Zheng, William Wei Song, Xiaofeng Du, Deren Chen |
| 2007 | CSCWD | Personalized Web Service Composition Model for Non-diploma Distance Learning. | Tao Zhou, Xiaolin Zheng, Deren Chen |
| 2006 | APWEB | A Semantic Web Approach to "Request for Quote" in E-Commerce. | Wen-ying Guo, Deren Chen, Xiaolin Zheng |
| 2006 | PRIMA | Towards an Agent-Based Robust Collaborative Virtual Environment for E-Learning in the Service Grid. | Changqin Huang, Fuyin Xu, Xianghua Xu, Xiaolin Zheng |
| 2005 | CSCWD | Research of architecture for grid manufacturing. | Xiaolin Zheng, Deren Chen, Lin Lu |
| 2004 | SMC | Secure strategy for networked manufacturing system. | Xiaolin Zheng, Deren Chen, Zigui Wu |