Chen, Chaochao

41 publications

JMLR 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar

ICLR 2025 Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization XiaoHua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng

AAAI 2025 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

ICML 2025 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

ICML 2025 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

NeurIPS 2025 FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning Li Zhang, Zhongxuan Han, XiaoHua Feng, Jiaming Zhang, Yuyuan Li, Chaochao Chen

AAAI 2025 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

IJCAI 2025 Heterogeneous Temporal Hypergraph Neural Network Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin

AAAI 2025 LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng

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

NeurIPS 2025 UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation Chengye Wang, Yuyuan Li, XiaoHua Feng, Chaochao Chen, Xiaolin Zheng, Jianwei Yin

NeurIPS 2024 CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan

NeurIPS 2024 FOOGD: Federated Collaboration for Both Out-of-Distribution Generalization and Detection Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

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

AAAI 2024 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

AAAI 2024 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

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

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

ICML 2024 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

CVPR 2024 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

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, Kecheng Zheng, Yujun Shen, Deli Zhao

IJCAI 2023 Federated 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

IJCAI 2023 HyperFed: 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

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

IJCAI 2023 Reducing Communication for Split Learning by Randomized Top-K Sparsification Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao

MLOSS 2023 SQLFlow: An Extensible Toolkit Integrating DB and AI Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, ChaoChao Chen

NeurIPS 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang

IJCAI 2022 HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng

IJCAI 2022 MERIT: Learning Multi-Level Representations on Temporal Graphs Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

IJCAI 2022 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

IJCAI 2021 Cross-Domain Recommendation: Challenges, Progress, and Prospects Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu

NeurIPS 2021 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Wang Li

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

IJCAI 2020 A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng

AAAI 2020 Characterizing 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

NeurIPS 2019 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou

AAAI 2019 GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

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

AAAI 2018 Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li

AAAI 2016 Capturing Semantic Correlation for Item Recommendation in Tagging Systems Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen

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