Skip to content
cs-conference-ranking.org

Chaochao Chen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

90

Venues

24

Active years

2007–2026

Best venue rank

A*

Where they publish

Papers

90 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIFedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training.Yuyuan Li, Junjie Fang, Fengyuan Yu, Xichun Sheng, Tianyu Du, Xuyang Teng, Shaowei Jiang, Linbo Jiang, Jianan Lin, Chaochao Chen
2026AAAITargeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning.Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Yuhua Xu, Changjun Jiang
2026AAAIPotent 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
2026AAAITOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models.Li Zhang, Zhongxuan Han, Xiaohua Feng, Jiaming Zhang, Yuyuan Li, Linbo Jiang, Jianan Lin, Chaochao Chen
2026WWWSTG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay.Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Changjun Jiang
2026WWWSharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation.Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen
2026WWWTaming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou, Chaochao Chen
2026WWWLLM-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
2025AAAIDR-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
2025AAAISim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation.Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang
2025AAAILoGoFair: Post-Processing for Local and Global Fairness in Federated Learning.Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng
2025AAAIFedGOG: 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
2025CIKMPersonalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype.Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen
2025ICLRControllable 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
2025ICMLFOCoOp: 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
2025ICMLEfficient 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
2025IJCAIHeterogeneous Temporal Hypergraph Neural Network.Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025KDDModality-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
2025KDDTackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training.Huabin Zhu, Chaochao Chen, Xinting Liao, Pengyang Zhou, Xiaolin Zheng
2025WWWJoint 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
2025WWWPlug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems.Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Li Zhang, Chaochao Chen, Xiaolin Zheng
2025SIGIRTraining-free Periodic Interest Augmentation in Incremental Recommendation.Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang
2025SIGIRJoint 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
2025WSDMFedGF: 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
2024AAAILearning 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
2024AAAIIntra- 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
2024CIKMDIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation.Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang
2024CVPRRethinking 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
2024EMNLPFine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models.Xiaohua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin
2024ICDELogical Relation Modeling and Mining in Hyperbolic Space for Recommendation.Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
2024ICMLReducing 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
2024ICMLOne for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment.Chaochao Chen, Jiaming Zhang, Yuyuan Li, Zhongxuan Han
2024IJCAIProtecting Split Learning by Potential Energy Loss.Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin
2024ICWSEnhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation.Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu
2024KDDCE-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
2024WWWUser Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation.Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang
2024SIGIRHypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems.Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li
2024SIGIRRevisit 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
2023AAAIPPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation.Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
2023ACLRobust 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
2023CIKMFedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning.Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang, Xiaolong Hu
2023CIKMDecentralized Graph Neural Network for Privacy-Preserving Recommendation.Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
2023ICDEDCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023ICDMEnhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang
2023IJCAIHyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning.Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
2023IJCAIFederated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation.Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng
2023IJCAIReducing Communication for Split Learning by Randomized Top-k Sparsification.Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
2023ICWSFreshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks.Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
2023ICWSFederated Learning on Non-iid Data via Local and Global Distillation.Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
2023WWWIntra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation.Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao
2023WWWJoint 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
2023WWWEnhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
2023WWWINCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen
2022CIKMCross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022ICDEEnhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
2022IJCAIVertically 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
2022IJCAIMERIT: Learning Multi-level Representations on Temporal Graphs.Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
2022IJCAIHCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation.Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
2022KDD4SDrug: 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
2022KDDTrustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
2022WWWDifferential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022WWWCollaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation.Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022SIGIRExploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen
2022SIGIRMetaCare++: 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
2022UICAn Intelligent Resource Scheduling Method with Edge Channel Deployment for BPM.Bowen Liu, Wanchun Dou, Xiaokang Zhou, Xuyun Zhang, Lianyong Qi, Fei Dai, Chaochao Chen
2021CIKMLarge-scale Secure XGB for Vertical Federated Learning.Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang
2021IJCAICross-Domain Recommendation: Challenges, Progress, and Prospects.Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
2021KDDWhen Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong
2020AAAICharacterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2020CCSFaster Secure Multiparty Computation of Adaptive Gradient Descent.Wen-jie Lu, Yixuan Fang, Zhicong Huang, Cheng Hong, Chaochao Chen, Hunter Qu, Yajin Zhou, Kui Ren
2020CIKMNebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang
2020ECAISecure Social Recommendation Based on Secret Sharing.Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
2020IJCAIA Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation.Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
2019AAAIGeniePath: Graph Neural Networks with Adaptive Receptive Paths.Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
2019CIKMDTCDR: A Framework for Dual-Target Cross-Domain Recommendation.Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng
2019PAKDDHow Much Can A Retailer Sell? Sales Forecasting on Tmall.Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
2018AAAIPrivacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
2018CIKMHeterogeneous Graph Neural Networks for Malicious Account Detection.Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
2018DASFAAAn Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay.Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li
2018IJCAIA Deep Framework for Cross-Domain and Cross-System Recommendations.Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
2018KDDDistributed Collaborative Hashing and Its Applications in Ant Financial.Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
2018PAKDDA Local Online Learning Approach for Non-linear Data.Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
2017CCSPOSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song
2017ICWSMSparse Overlap Cross-Platform Recommendation Via Adaptive Similarity Structure Regularization.Hanqing Lu, Chaochao Chen, Qinyue Jiang
2017KDDKunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi
2016AAAICapturing Semantic Correlation for Item Recommendation in Tagging Systems.Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen
2014AAAIContext-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems.Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin
2013WISEMaking Recommendations on Microblogs through Topic Modeling.Chaochao Chen, Xiaolin Zheng, Chaofei Zhou, Deren Chen
2011CHISoundVision: graphic communication method for blind users.Chaochao Chen
2007ISNNUltrasonic Sensor Based Fuzzy-Neural Control Algorithm of Obstacle Avoidance for Mobile Robot.Hongbo Wang, Chaochao Chen, Zhen Huang