Recommender System Based on Social Trust Relationships. - Chaochao Chen 001; Jing Zeng; Xiaolin Zheng; Deren Chen (ICEBE, 2013)

Making Recommendations on Microblogs through Topic Modeling. - Chaochao Chen 001; Xiaolin Zheng; Chaofei Zhou; Deren Chen (WISE Workshops, 2013)

Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems. - Chaochao Chen 001; Xiaolin Zheng; Yan Wang 002; Fuxing Hong; Zhen Lin (AAAI, 2014)

Collaborative Topic Modeling for Text Tensors. - Weifeng Ding; Xiaolin Zheng; Chaochao Chen 001; Zukun Yu; Deren Chen (ICEBE, 2014)

Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood. - Xiaolin Zheng; Zhen Lin; Huan Xu; Chaochao Chen 001; Ting Ye (Expert Syst. Appl., 2015)

A Hybrid Trust-Based Recommender System for Online Communities of Practice. - Xiaolin Zheng; Chaochao Chen 001; Jui-Long Hung; Wu He; Fuxing Hong; Zhen Lin (IEEE Trans. Learn. Technol., 2015)

Capturing Semantic Correlation for Item Recommendation in Tagging Systems. - Chaochao Chen 001; Xiaolin Zheng; Yan Wang 002; Fuxing Hong; Deren Chen (AAAI, 2016)

A hybrid approach for movie recommendation via tags and ratings. - Shouxian Wei; Xiaolin Zheng; Deren Chen; Chaochao Chen 001 (Electron. Commer. Res. Appl., 2016)

Social recommendation via multi-view user preference learning. - Hanqing Lu; Chaochao Chen 001; Ming Kong; Hanyi Zhang; Zhou Zhao 001 (Neurocomputing, 2016)

Latent space regularization for recommender systems. - Fuxing Hong; Xiao-Lin Zheng; Chao-Chao Chen 001 (Inf. Sci., 2016)

Topic tensor factorization for recommender system. - Xiaolin Zheng; Weifeng Ding; Zhen Lin; Chaochao Chen 001 (Inf. Sci., 2016)

Recommender System with Composite Social Trust Networks. - Chaochao Chen 001; Xiaolin Zheng; Mengying Zhu; Litao Xiao (Int. J. Web Serv. Res., 2016)

Large scale app recommendation in Ant Financial. - Chaochao Chen 001; Xinxing Yang; Li Wang 056; Jun Zhou 011; Xiaolong Li 005 (IEEE BigData, 2017)

POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. - Ziqi Liu; Chaochao Chen 001; Jun Zhou 011; Xiaolong Li 005; Feng Xu 008; Tao Chen; Le Song (CCS, 2017)

Sparse Overlap Cross-Platform Recommendation Via Adaptive Similarity Structure Regularization. - Hanqing Lu; Chaochao Chen 001; Qinyue Jiang (ICWSM, 2017)

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. - Jun Zhou 011; Xiaolong Li 005; Peilin Zhao; Chaochao Chen 001; Longfei Li; Xinxing Yang; Qing Cui; Jin Yu; Xu Chen 017; Yi Ding 006; Yuan (Alan) Qi (KDD, 2017)

Towards Context-aware Social Recommendation via Individual Trust. - Jun Li 061; Chaochao Chen 001; Huiling Chen 001; Changfei Tong (Knowl. Based Syst., 2017)

Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. - Chaochao Chen 001; Ziqi Liu; Peilin Zhao; Jun Zhou 011; Xiaolong Li 005 (AAAI, 2018)

Heterogeneous Graph Neural Networks for Malicious Account Detection. - Ziqi Liu; Chaochao Chen 001; Xinxing Yang; Jun Zhou 011; Xiaolong Li 005; Le Song (CIKM, 2018)

An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. - Zhiqiang Zhang 012; Chaochao Chen 001; Jun Zhou 011; Xiaolong Li 005 (DASFAA (2), 2018)

A Deep Framework for Cross-Domain and Cross-System Recommendations. - Feng Zhu 011; Yan Wang 002; Chaochao Chen 001; Guanfeng Liu 001; Mehmet A. Orgun; Jia Wu 001 (IJCAI, 2018)

Distributed Collaborative Hashing and Its Applications in Ant Financial. - Chaochao Chen 001; Ziqi Liu; Peilin Zhao; Longfei Li; Jun Zhou 011; Xiaolong Li 005 (KDD, 2018)

A Local Online Learning Approach for Non-linear Data. - Xinxing Yang; Jun Zhou 011; Peilin Zhao; Cen Chen 001; Chaochao Chen 001; Xiaolong Li 005 (PAKDD (2), 2018)

GeniePath: Graph Neural Networks with Adaptive Receptive Paths. - Ziqi Liu; Chaochao Chen 001; Longfei Li; Jun Zhou 011; Xiaolong Li 005; Le Song (CoRR, 2018)

Time-sensitive Customer Churn Prediction based on PU Learning. - Li Wang 056; Chaochao Chen 001; Jun Zhou 011; Xiaolong Li 005 (CoRR, 2018)

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Zhi-Hua Zhou (CoRR, 2018)

Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. - Chaochao Chen 001; Kevin Chen-Chuan Chang; Qibing Li; Xiaolin Zheng (ACM Trans. Knowl. Discov. Data, 2018)

GeniePath: Graph Neural Networks with Adaptive Receptive Paths. - Ziqi Liu; Chaochao Chen 001; Longfei Li; Jun Zhou 011; Xiaolong Li 005; Le Song; Yuan Qi 001 (AAAI, 2019)

Adapted Tree Boosting for Transfer Learning. - Wenjing Fang; Chaochao Chen 001; Bowen Song; Li Wang 056; Jun Zhou 011; Kenny Q. Zhu (IEEE BigData, 2019)

DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. - Feng Zhu 011; Chaochao Chen 001; Yan Wang 002; Guanfeng Liu 001; Xiaolin Zheng (CIKM, 2019)

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. - Bingzhe Wu; Shiwan Zhao; Chaochao Chen 001; Haoyang Xu; Li Wang 056; Xiaolu Zhang; Guangyu Sun 003; Jun Zhou 011 (NeurIPS, 2019)

How Much Can A Retailer Sell? Sales Forecasting on Tmall. - Chaochao Chen 001; Ziqi Liu; Jun Zhou 011; Xiaolong Li 005; Yuan Qi 001; Yujing Jiao; Xingyu Zhong (PAKDD (2), 2019)

Quantification of the Leakage in Federated Learning. - Zhaorui Li; Zhicong Huang; Chaochao Chen 001; Cheng Hong 001 (CoRR, 2019)

A Time Attention based Fraud Transaction Detection Framework. - Longfei Li; Ziqi Liu; Chaochao Chen 001; Ya-Lin Zhang 001; Jun Zhou 011; Xiaolong Li 005 (CoRR, 2019)

EXPLORE: EXPLainable item-tag CO-REcommendation. - Xiaolin Zheng; Menghan Wang; Chaochao Chen 001; Yan Wang 002; Zhehao Cheng (Inf. Sci., 2019)

FinBrain: when finance meets AI 2.0. - Xiaolin Zheng; Mengying Zhu; Qibing Li; Chaochao Chen 001; Yanchao Tan (Frontiers Inf. Technol. Electron. Eng., 2019)

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Yuan (Alan) Qi; Zhi-Hua Zhou (ACM Trans. Intell. Syst. Technol., 2019)

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. - Bingzhe Wu; Chaochao Chen 001; Shiwan Zhao; Cen Chen 001; Yuan Yao; Guangyu Sun 003; Li Wang 056; Xiaolu Zhang; Jun Zhou 011 (AAAI, 2020)

Faster Secure Multiparty Computation of Adaptive Gradient Descent. - Wen-jie Lu; Yixuan Fang; Zhicong Huang; Cheng Hong 001; Chaochao Chen 001; Hunter Qu; Yajin Zhou; Kui Ren 001 (PPMLP@CCS, 2020)

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. - Cen Chen 001; Bingzhe Wu; Li Wang 056; Chaochao Chen 001; Jin Tan; Lei Wang 152; Jun Zhou 011; Benyu Zhang (CIKM, 2020)

Secure Social Recommendation Based on Secret Sharing. - Chaochao Chen 001; Liang Li; Bingzhe Wu; Cheng Hong 001; Li Wang 056; Jun Zhou 011 (ECAI, 2020)

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. - Feng Zhu 011; Yan Wang 002; Chaochao Chen 001; Guanfeng Liu 001; Xiaolin Zheng (IJCAI, 2020)

Privacy Preserving PCA for Multiparty Modeling. - Yingting Liu; Chaochao Chen 001; Longfei Zheng; Li Wang 056; Jun Zhou 011; Guiquan Liu (CoRR, 2020)

Practical Privacy Preserving POI Recommendation. - Chaochao Chen 001; Bingzhe Wu; Wenjin Fang; Jun Zhou 011; Li Wang 056; Yuan Qi 001; Xiaolin Zheng (CoRR, 2020)

Industrial Scale Privacy Preserving Deep Neural Network. - Longfei Zheng; Chaochao Chen 001; Yingting Liu; Bingzhe Wu; Xibin Wu; Li Wang 056; Lei Wang 152; Jun Zhou 011; Shuang Yang (CoRR, 2020)

Secret Sharing based Secure Regressions with Applications. - Chaochao Chen 001; Liang Li; Wenjing Fang; Jun Zhou 011; Li Wang 056; Lei Wang 152; Shuang Yang; Alex Liu; Hao Wang 007 (CoRR, 2020)

A Hybrid-Domain Framework for Secure Gradient Tree Boosting. - Wenjing Fang; Chaochao Chen 001; Jin Tan; Chaofan Yu; Yufei Lu; Li Wang 056; Lei Wang 152; Jun Zhou 011; Alex X (CoRR, 2020)

Privacy-Preserving Graph Neural Network for Node Classification. - Jun Zhou 011; Chaochao Chen 001; Longfei Zheng; Xiaolin Zheng; Bingzhe Wu; Ziqi Liu; Li Wang 056 (CoRR, 2020)

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. - Chaochao Chen 001; Jun Zhou 011; Li Wang 056; Xibin Wu; Wenjing Fang; Jin Tan; Lei Wang 152; Xiaoxi Ji; Alex Liu; Hao Wang 007; Cheng Hong 001 (CoRR, 2020)

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. - Chaochao Chen 001; Jamie Cui; Guanfeng Liu 001; Jia Wu 001; Li Wang 056 (CoRR, 2020)

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. - Yilun Lin; Chaochao Chen 001; Cen Chen 001; Li Wang 056 (CoRR, 2020)

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (CoRR, 2020)

Highly-Scalable Protected Graph Database Search with Oblivious Filter. - Jamie Cui; Chaochao Chen 001; Li Wang 056 (IACR Cryptol. ePrint Arch., 2020)

Practical Privacy Preserving POI Recommendation. - Chaochao Chen 001; Jun Zhou 011; Bingzhe Wu; Wenjing Fang; Li Wang 056; Yuan Qi 001; Xiaolin Zheng (ACM Trans. Intell. Syst. Technol., 2020)

Large-scale Secure XGB for Vertical Federated Learning. - Wenjing Fang; Derun Zhao; Jin Tan; Chaochao Chen 001; Chaofan Yu; Li Wang 056; Lei Wang 152; Jun Zhou 011; Benyu Zhang (CIKM, 2021)

Cross-Domain Recommendation: Challenges, Progress, and Prospects. - Feng Zhu 011; Yan Wang 002; Chaochao Chen 001; Jun Zhou 011; Longfei Li; Guanfeng Liu 001 (IJCAI, 2021)

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. - Chaochao Chen 001; Jun Zhou 011; Li Wang 056; Xibin Wu; Wenjing Fang; Jin Tan; Lei Wang 152; Alex X. Liu; Hao Wang 007; Cheng Hong 001 (KDD, 2021)

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Jinming Cui; Chaochao Chen 001; Lingjuan Lyu; Carl Yang 001; Li Wang 056 (NeurIPS, 2021)

Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. - Weiming Liu 005; Jiajie Su; Chaochao Chen 001; Xiaolin Zheng (NeurIPS, 2021)

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. - Fei Zheng; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2021)

Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. - Bingzhe Wu; Zhicong Liang; Yatao Bian; Chaochao Chen 001; Junzhou Huang; Yuan Yao (CoRR, 2021)

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. - Boxin Zhao; Ziqi Liu; Chaochao Chen 001; Mladen Kolar; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2021)

A Boosting Framework of Factorization Machine. - Jun Zhou 011; Longfei Li; Ziqi Liu; Chaochao Chen 001 (Int. J. Pattern Recognit. Artif. Intell., 2021)

ASFGNN: Automated separated-federated graph neural network. - Longfei Zheng; Jun Zhou 011; Chaochao Chen 001; Bingzhe Wu; Li Wang 056; Benyu Zhang (Peer-to-Peer Netw. Appl., 2021)

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. - Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Lingjuan Lyu; Zhiwei Liu 001; Chaochao Chen 001; Jia Wu 001; Xu Bai; Philip S. Yu (CIKM, 2022)

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Longfei Li; Xiaolin Zheng (ICDE, 2022)

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Huiwen Wu; Lingjuan Lyu; Jia Wu 001; Bingzhe Wu; Ziqi Liu; Li Wang 056; Xiaolin Zheng (IJCAI, 2022)

MERIT: Learning Multi-level Representations on Temporal Graphs. - Binbin Hu; Zhengwei Wu; Jun Zhou 011; Ziqi Liu; Zhigang Huangfu; Zhiqiang Zhang 012; Chaochao Chen 001 (IJCAI, 2022)

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. - Fan Wang 020; Weiming Liu 005; Chaochao Chen 001; Mengying Zhu; Xiaolin Zheng (IJCAI, 2022)

A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing. - Fei Dai 002; Guozhi Liu; Bi Huang; Xiaolong Xu 001; Chaochao Chen 001; Zhangbing Zhou; Xiaokang Zhou (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. - Yanchao Tan; Chengjun Kong; Leisheng Yu; Pan Li 005; Chaochao Chen 001; Xiaolin Zheng; Vicki Hertzberg; Carl Yang 001 (KDD, 2022)

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Yatao Bian; Hengtong Zhang; Jintang Li; Junchi Yu; Liang Chen 001; Chaochao Chen 001; Junzhou Huang (KDD, 2022)

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. - Xiaolin Zheng; Jiajie Su; Weiming Liu 005; Chaochao Chen 001 (ACM Multimedia, 2022)

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Jiajie Su; Mengling Hu; Yanchao Tan; Chaochao Chen 001 (SIGIR, 2022)

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Weiming Liu 005; Longfei Li; Jun Zhou 011; Xiaolin Zheng (SIGIR, 2022)

An Intelligent Resource Scheduling Method with Edge Channel Deployment for BPM. - Bowen Liu 002; Wanchun Dou; Xiaokang Zhou; Xuyun Zhang; Lianyong Qi; Fei Dai 002; Chaochao Chen 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. - Chaochao Chen 001; Huiwen Wu; Jiajie Su; Lingjuan Lyu; Xiaolin Zheng; Li Wang 056 (WWW, 2022)

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Mengling Hu; Chaochao Chen 001 (WWW, 2022)

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Jamie Cui; Chaochao Chen 001; Lingjuan Lyu; Carl Yang 001; Li Wang 056 (CoRR, 2022)

Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. - Yuyuan Li; Xiaolin Zheng; Chaochao Chen 001; Junlin Liu (CoRR, 2022)

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Mengling Hu; Chaochao Chen 001 (CoRR, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. - Yingting Liu; Chaochao Chen 001; Jamie Cui; Li Wang 056; Lei Wang 152 (CoRR, 2022)

Making Split Learning Resilient to Label Leakage by Potential Energy Loss. - Fei Zheng; Chaochao Chen 001; Binhui Yao; Xiaolin Zheng (CoRR, 2022)

Exponential Gradient with Momentum for Online Portfolio Selection. - Yuyuan Li; Xiaolin Zheng; Chaochao Chen 001; Jiawei Wang 011; Shuai Xu (Expert Syst. Appl., 2022)

cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. - Tao Lu; Chengkun Wei; Ruijing Yu; Yi Chen; Li Wang 056; Chaochao Chen 001; Zeke Wang; Wenzhi Chen (IACR Cryptol. ePrint Arch., 2022)

FinBrain 2.0: when finance meets trustworthy AI. - Jun Zhou 011; Chaochao Chen 001; Longfei Li; Zhiqiang Zhang 012; Xiaolin Zheng (Frontiers Inf. Technol. Electron. Eng., 2022)

Towards secure and practical machine learning via secret sharing and random permutation. - Fei Zheng; Chaochao Chen 001; Xiaolin Zheng; Mingjie Zhu (Knowl. Based Syst., 2022)

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Jun Zhou 011; Longfei Zheng; Chaochao Chen 001; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (ACM Trans. Intell. Syst. Technol., 2022)

PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. - Xinting Liao; Weiming Liu 005; Xiaolin Zheng; Binhui Yao; Chaochao Chen 001 (AAAI, 2023)

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. - Xiaolin Zheng; Mengling Hu; Weiming Liu 005; Chaochao Chen 001; Xinting Liao (ACL (1), 2023)

FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning. - Longfei Zheng; Yingting Liu; Xiaolong Xu 001; Chaochao Chen 001; Yuzhou Tang; Lei Wang 152; Xiaolong Hu (CIKM, 2023)

Decentralized Graph Neural Network for Privacy-Preserving Recommendation. - Xiaolin Zheng; Zhongyu Wang; Chaochao Chen 001; Jiashu Qian; Yao Yang (CIKM, 2023)

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. - Feng Zhu 011; Mingjie Zhong; Xinxing Yang; Longfei Li; Lu Yu 006; Tiehua Zhang; Jun Zhou 011; Chaochao Chen 001; Fei Wu 001; Guanfeng Liu 001; Yan Wang 002 (ICDE, 2023)

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. - Yanchao Tan; Zihao Zhou; Leisheng Yu; Weiming Liu 005; Chaochao Chen 001; Guofang Ma; Xiao Hu 002; Vicki Stover Hertzberg; Carl Yang 001 (ICDM, 2023)

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. - Xiaolin Zheng; Zhongyu Wang; Chaochao Chen 001; Feng Zhu 011; Jiashu Qian (ICWS, 2023)

Federated Learning on Non-iid Data via Local and Global Distillation. - Xiaolin Zheng; Senci Ying; Fei Zheng; Jianwei Yin; Longfei Zheng; Chaochao Chen 001; Fengqin Dong (ICWS, 2023)

HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou; Huabin Zhu; Yanchao Tan; Jun Wang 020; Yue Qi (IJCAI, 2023)

Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Jianwei Yin; Yanchao Tan; Longfei Zheng (IJCAI, 2023)

Reducing Communication for Split Learning by Randomized Top-k Sparsification. - Fei Zheng; Chaochao Chen 001; Lingjuan Lyu; Binhui Yao (IJCAI, 2023)

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Weiming Liu 005; Jun Wang 020; Wenjie Cheng; Yuyuan Li (ACM Multimedia, 2023)

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang 002; Mengling Hu; Yanchao Tan; Xiaolin Zheng (ACM Multimedia, 2023)

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Yunfei Zhan; Weiming Liu 005; Fan Wang 020; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Multimedia, 2023)

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Mengling Hu; Xinting Liao; Fan Wang 020; Yanchao Tan; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. - Jiajie Su; Chaochao Chen 001; Zibin Lin; Xi Li 001; Weiming Liu 005; Xiaolin Zheng (ACM Multimedia, 2023)

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. - Yuyuan Li; Chaochao Chen 001; Yizhao Zhang; Weiming Liu 005; Lingjuan Lyu; Xiaolin Zheng; Dan Meng 001; Jun Wang 020 (NeurIPS, 2023)

Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. - Zhongxuan Han; Xiaolin Zheng; Chaochao Chen 001; Wenjie Cheng; Yang Yao (WWW, 2023)

Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (WWW, 2023)

Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Fei Wu 001; Xiaolin Zheng; Haoming Lyu (WWW, 2023)

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. - Chuanpan Zheng; Xiaoliang Fan; Cheng Wang 003; Jianzhong Qi 001; Chaochao Chen 001; Longbiao Chen (WWW, 2023)

Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020 (CoRR, 2023)

Federated Unlearning via Active Forgetting. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Jiaming Zhang 009 (CoRR, 2023)

Federated Large Language Model: A Position Paper. - Chaochao Chen 001; Xiaohua Feng; Jun Zhou 011; Jianwei Yin; Xiaolin Zheng (CoRR, 2023)

Defending Label Inference Attacks in Split Learning under Regression Setting. - Haoze Qiu; Fei Zheng; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou; Huabin Zhu; Shuheng Shen; Weiqiang Wang; Mengling Hu; Yanchao Tan; Xiaolin Zheng (CoRR, 2023)

Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. - Mengling Hu; Chaochao Chen 001; Weiming Liu 005; Xinyi Zhang; Xinting Liao; Xiaolin Zheng (CoRR, 2023)

Federated Learning for Short Text Clustering. - Mengling Hu; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Xiaolin Zheng (CoRR, 2023)

SQLFlow: An Extensible Toolkit Integrating DB and AI. - Jun Zhou 011; Ke Zhang; Lin Wang 098; Hua Wu; Yi Wang 141; Chaochao Chen 001 (J. Mach. Learn. Res., 2023)

cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. - Tao Lu; Chengkun Wei; Ruijing Yu; Chaochao Chen 001; Wenjing Fang; Lei Wang 152; Zeke Wang; Wenzhi Chen (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023)

Decision Boundary-Aware Data Augmentation for Adversarial Training. - Chen Chen 043; Jingfeng Zhang; Xilie Xu; Lingjuan Lyu; Chaochao Chen 001; Tianlei Hu; Gang Chen 001 (IEEE Trans. Dependable Secur. Comput., 2023)

A Unified Framework for Cross-Domain and Cross-System Recommendations. - Feng Zhu 011; Yan Wang 002; Jun Zhou 011; Chaochao Chen 001; Longfei Li; Guanfeng Liu 001 (IEEE Trans. Knowl. Data Eng., 2023)

REFER: Randomized Online Factor Selection Framework for portfolio Management. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yan Wang 002; Biao Gong (Expert Syst. Appl., 2023)

Finding High-Quality Item Attributes for Recommendation. - Xiaolin Zheng; Yanchao Tan; Yan Wang 002; Xiangyu Wei; Shengjia Zhang; Chaochao Chen 001; Longfei Li; Carl Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. - Weiming Liu 005; Xiaolin Zheng; Jiajie Su; Longfei Zheng; Chaochao Chen 001; Mengling Hu (IEEE Trans. Knowl. Data Eng., 2023)

Selective and collaborative influence function for efficient recommendation unlearning. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020; Linxun Chen (Expert Syst. Appl., 2023)

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Yanchao Tan; Fan Wang 020; Xiaolin Zheng; Yew Soon Ong (AAAI, 2024)

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Meng Li; Weiming Liu 005; Binhui Yao; Yuyuan Li; Jianwei Yin (AAAI, 2024)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. - Heyuan Huang; Xingyu Lou; Chaochao Chen 001; Pengxiang Cheng 003; Yue Xin; Chengwei He; Xiang Liu; Jun Wang 020 (CIKM, 2024)

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou; Fengyuan Yu; Huabin Zhu; Binhui Yao; Tao Wang; Xiaolin Zheng; Yanchao Tan (CVPR, 2024)

Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models. - Xiaohua Feng; Chaochao Chen 001; Yuyuan Li; Zibin Lin (EMNLP, 2024)

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. - Yanchao Tan; Hang Lv 010; Zihao Zhou; Wenzhong Guo; Bo Xiong; Weiming Liu 005; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ICDE, 2024)

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Yanchao Tan; Yew-Soon Ong (ICML, 2024)

One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment. - Chaochao Chen 001; Jiaming Zhang 009; Yuyuan Li; Zhongxuan Han (ICML, 2024)

Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. - Xinping Zhao; Chaochao Chen 001; Jiajie Su; Yizhao Zhang; Baotian Hu (ICWS, 2024)

Protecting Split Learning by Potential Energy Loss. - Fei Zheng; Chaochao Chen 001; Lingjuan Lyu; Xinyi Fu; Xing Fu; Weiqiang Wang; Xiaolin Zheng; Jianwei Yin (IJCAI, 2024)

CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. - Fan Wang 020; Chaochao Chen 001; Weiming Liu 005; Tianhao Fan; Xinting Liao; Yanchao Tan; Lianyong Qi; Xiaolin Zheng (KDD, 2024)

CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence. - Chaochao Chen 001; Jiaming Zhang 009; Yizhao Zhang; Li Zhang; Lingjuan Lyu; Yuyuan Li; Biao Gong; Chenggang Yan (NeurIPS, 2024)

UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training. - Biao Gong; Shuai Tan; Yutong Feng; Xiaoying Xie; Yuyuan Li; Chaochao Chen 001; Kecheng Zheng; Yujun Shen; Deli Zhao (NeurIPS, 2024)

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. - Xinting Liao; Weiming Liu 005; Pengyang Zhou; Fengyuan Yu; Jiahe Xu 003; Jun Wang 020; Wenjie Wang; Chaochao Chen 001; Xiaolin Zheng (NeurIPS, 2024)

Federated Graph Learning for Cross-Domain Recommendation. - Ziqi Yang; Zhaopeng Peng; Zihui Wang; Jianzhong Qi 001; Chaochao Chen 001; Weike Pan; Chenglu Wen; Cheng Wang 003; Xiaoliang Fan (NeurIPS, 2024)

Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Li Zhang; Yuyuan Li (SIGIR, 2024)

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Zibin Lin; Shuheng Shen; Weiqiang Wang 002; Xiaolin Zheng (SIGIR, 2024)

User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Jiajie Su; Yanchao Tan; Fan Wang 020 (WWW, 2024)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li; Dan Meng 001; Jun Wang 020; Xiaoli Zheng; Jianwei Yin (CoRR, 2024)

PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN. - Fei Zheng; Chaochao Chen 001; Zhongxuan Han; Xiaolin Zheng (CoRR, 2024)

Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization. - Xiaohua Feng; Chaochao Chen 001; Yuyuan Li; Li Zhang (CoRR, 2024)

WassFFed: Wasserstein Fair Federated Learning. - Zhongxuan Han; Li Zhang; Chaochao Chen 001; Xiaolin Zheng; Fei Zheng; Yuyuan Li; Jianwei Yin (CoRR, 2024)

A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions. - Yuyuan Li; Xiaohua Feng; Chaochao Chen 001; Qiang Yang (CoRR, 2024)

Integration of large language models and federated learning. - Chaochao Chen 001; Xiaohua Feng; Yuyuan Li; Lingjuan Lyu; Jun Zhou 011; Xiaolin Zheng; Jianwei Yin (Patterns, 2024)

Making recommender systems forget: Learning and unlearning for erasable recommendation. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Junlin Liu; Jun Wang 020 (Knowl. Based Syst., 2024)

Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. - Xiaolin Zheng; Rui Wu; Zhongxuan Han; Chaochao Chen 001; Linxun Chen; Bing Han 017 (ACM Trans. Web, 2024)

Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. - Chao-Chao Chen 001; Fei Zheng; Jamie Cui; Yuwei Cao; Guanfeng Liu 001; Jia Wu 001; Jun Zhou 011 (Int. J. Mach. Learn. Cybern., 2024)

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. - Xiaolin Zheng; Weiming Liu 005; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (IEEE Trans. Knowl. Data Eng., 2024)

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. - Fan Wang 020; Chaochao Chen 001; Weiming Liu 005; Minye Lei; Jintao Chen; Yuwen Liu; Xiaolin Zheng; Jianwei Yin (AAAI, 2025)

Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. - Yihao Wang; Jiajie Su; Chaochao Chen 001; Meng Han; Chi Zhang; Jun Wang 020 (AAAI, 2025)

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Wenkai Shen; Jiahe Xu 003; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (AAAI, 2025)

Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. - Xiaohua Feng; Yuyuan Li; Chaochao Chen 001; Li Zhang; Longfei Li; Jun Zhou 011; Xiaolin Zheng (ICLR, 2025)

Training-free Periodic Interest Augmentation in Incremental Recommendation. - Heyuan Huang; Xingyu Lou; Changwang Zhang; Chaochao Chen 001; Kuiyao Dong; Feng Lu; Han Lei; Yihao Wang; Wangchunshu Zhou; Jun Wang 020 (SIGIR, 2025)

Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Wenkai Shen; Xinting Liao; Huarong Deng; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (SIGIR, 2025)

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Fengyuan Yu; Zhihui Fu; Xingyu Lou; Wu Wen; Xiaolin Zheng; Jun Wang 020 (WSDM, 2025)

Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Xiaolin Zheng; Zhihui Fu; Ruiguang Pei; Jun Wang 020 (WWW, 2025)

Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. - Xiaohua Feng; Yuyuan Li; Fengyuan Yu; Li Zhang; Chaochao Chen 001; Xiaolin Zheng (WWW, 2025)

Class-wise federated unlearning: Harnessing active forgetting with teacher-student memory generation. - Yuyuan Li; Jiaming Zhang 009; Yixiu Liu; Chaochao Chen 001 (Knowl. Based Syst., 2025)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li; Jun Wang 020; Lianyong Qi; Xiaolong Xu 001; Xiaolin Zheng; Jianwei Yin (ACM Trans. Inf. Syst., 2025)

Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Junjie Fang; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han (CoRR, 2025)

Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Yixiu Liu; Zehui He; Yuyuan Li; Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2025)

Bridging the Gap Between Preference Alignment and Machine Unlearning. - Xiaohua Feng; Yuyuan Li; Huwei Ji; Jiaming Zhang 001; Li Zhang; Tianyu Du; Chaochao Chen 001 (CoRR, 2025)

Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation. - Jiajie Su; Qiyong Zhong; Yunshan Ma; Yuwei Liu; Chao-Chao Chen 001; Xiaolin Zheng; Jianwei Yin; Tat-Seng Chua (CoRR, 2025)

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. - Xinting Liao; Weiming Liu 005; Jiaming Qian; Pengyang Zhou; Jiahe Xu 003; Wenjie Wang; Chao-Chao Chen 001; Xiaolin Zheng; Tat-Seng Chua (CoRR, 2025)

SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. - Mengying Zhu; Mengyuan Yang 002; Yan Wang 002; Fei Wu 001; Qianqiao Liang; Chaochao Chen 001; Hua Wei; Xiaolin Zheng (IEEE Trans. Knowl. Data Eng., 2025)

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction. - Xiaohua Feng; Jiaming Zhang 001; Fengyuan Yu; Chengye Wang; Li Zhang; Kaixiang Li; Yuyuan Li; Chaochao Chen 001; Jianwei Yin (CoRR, 2025)

Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Jiamin Chen; Hengyu Zhang 001; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Trans. Inf. Syst., 2025)