Chaochao Chen - RankMe

252 papers A* 80A 15Journal 143Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions. IEEE Trans. Knowl. Data Eng. Yuyuan Li, Xiaohua Feng, Chaochao Chen, Qiang Yang
2026	J	`jnl`	Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation. IEEE Trans. Knowl. Data Eng. Fan Wang, Chaochao Chen, Weiming Liu, Lianyong Qi, Xuyun Zhang, Yanchao Tan, Mengying Zhu, Xiaolin Zheng
2026	A*	`conf`	FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training. AAAI Yuyuan Li, Junjie Fang, Fengyuan Yu, Xichun Sheng, Tianyu Du, Xuyang Teng, Shaowei Jiang, Linbo Jiang, Jianan Lin, Chaochao Chen
2026	J	`jnl`	Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning. CoRR Jiajie Su, Haoyuan Wang, Xiaohua Feng, Yunshan Ma, Xiaobo Xia, Yuyuan Li, Xiaolin Zheng, Jianmao Xiao, Chaochao Chen
2026	J	`jnl`	KinGuard: Hierarchical Kinship-Aware Fingerprinting to Defend Against Large Language Model Stealing. CoRR Zhenhua Xu, Xiaoning Tian, Wenjun Zeng, Wenpeng Xing, Tianliang Lu, Gaolei Li, Chaochao Chen, Meng Han
2026	A*	`conf`	LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation. WWW Pengyang Zhou, Zhihao Huang, Jiahe Xu, Wu Wen, Xiaolin Zheng, Chaochao Chen, Jianwei Yin
2026	J	`jnl`	PADER: Paillier-based Secure Decentralized Social Recommendation. CoRR Chaochao Chen, Jiaming Qian, Fei Zheng, Yachuan Liu
2026	A*	`conf`	Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. AAAI Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
2026	A*	`conf`	STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay. WWW Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Changjun Jiang
2026	A*	`conf`	Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation. WWW Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen
2026	J	`jnl`	SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation. ACM Trans. Inf. Syst. Kai Zhang, Zhihong Pan, Sanshi Lei Yu, Qi Liu, Hongke Zhao, Chaochao Chen, Enhong Chen
2026	A*	`conf`	TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models. AAAI Li Zhang, Zhongxuan Han, Xiaohua Feng, Jiaming Zhang, Yuyuan Li, Linbo Jiang, Jianan Lin, Chaochao Chen
2026	A*	`conf`	Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems. WWW Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou, Chaochao Chen
2026	J	`jnl`	Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems. CoRR Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Li Zhang, Longfei Li, Jun Zhou, Chaochao Chen
2026	A*	`conf`	Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning. AAAI Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Yuhua Xu, Changjun Jiang
2025	J	`jnl`	A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty. CoRR Xiaohua Feng, Yuyuan Li, Chengye Wang, Junlin Liu, Li Zhang, Chaochao Chen
2025	J	`jnl`	A Remarkably Efficient Paradigm to Multimodal Large Language Models for Sequential Recommendation. CoRR Qiyong Zhong, Jiajie Su, Ming Yang, Yunshan Ma, Xiaolin Zheng, Chaochao Chen
2025	J	`jnl`	A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures. CoRR Dezhang Kong, Shi Lin, Zhenhua Xu, Zhebo Wang, Minghao Li, Yufeng Li, Yilun Zhang, Hujin Peng, Zeyang Sha, Yuyuan Li, Changting Lin, Xun Wang, Xuan Liu, Ningyu Zhang, Chaochao Chen, Muhammad Khurram Khan, Meng Han
2025	J	`jnl`	A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction. CoRR Xiaohua Feng, Jiaming Zhang, Fengyuan Yu, Chengye Wang, Li Zhang, Kaixiang Li, Yuyuan Li, Chaochao Chen, Jianwei Yin
2025	J	`jnl`	Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. J. Mach. Learn. Res. Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar
2025	J	`jnl`	BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization. CoRR Jiaming Zhang, Yuyuan Li, Yiqun Xu, Li Zhang, Xiaohua Feng, Zhifei Ren, Chaochao Chen
2025	J	`jnl`	Bridging the Gap Between Preference Alignment and Machine Unlearning. CoRR Xiaohua Feng, Yuyuan Li, Huwei Ji, Jiaming Zhang, Li Zhang, Tianyu Du, Chaochao Chen
2025	J	`jnl`	Class-wise federated unlearning: Harnessing active forgetting with teacher-student memory generation. Knowl. Based Syst. Yuyuan Li, Jiaming Zhang, Yixiu Liu, Chaochao Chen
2025	J	`jnl`	Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation. IEEE Trans. Serv. Comput. Jiajie Su, Xiaolin Zheng, Zibin Lin, Weiming Liu, Chaochao Chen, Jianwei Yin
2025	A*	`conf`	Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. ICLR Xiaohua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng
2025	A*	`conf`	DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. AAAI Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin
2025	J	`jnl`	DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation. ACM Trans. Inf. Syst. Jiajie Su, Chaochao Chen, Yihao Wang, Weiming Liu, Yuyuan Li, Tao Wang, Zhigang Li, Xiaolin Zheng, Jianwei Yin
2025	A*	`conf`	Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization. ICML Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng
2025	A*	`conf`	FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. ICML Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua
2025	J	`jnl`	FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training. CoRR Yuyuan Li, Junjie Fang, Fengyuan Yu, Xichun Sheng, Tianyu Du, Xuyang Teng, Shaowei Jiang, Linbo Jiang, Jianan Lin, Chaochao Chen
2025	A	`conf`	FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. WSDM Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang
2025	A*	`conf`	FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. AAAI Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	A*	`conf`	Heterogeneous Temporal Hypergraph Neural Network. IJCAI Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025	J	`jnl`	Heterogeneous Temporal Hypergraph Neural Network. CoRR Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025	A*	`conf`	Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. SIGIR Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	A*	`conf`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. WWW Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	J	`jnl`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. CoRR Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	A*	`conf`	LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems. ACM Multimedia Fengyuan Yu, Yuyuan Li, Xiaohua Feng, Junjie Fang, Tao Wang, Chaochao Chen
2025	J	`jnl`	LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems. CoRR Fengyuan Yu, Yuyuan Li, Xiaohua Feng, Junjie Fang, Tao Wang, Chaochao Chen
2025	A*	`conf`	LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. AAAI Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng
2025	J	`jnl`	LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. CoRR Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng
2025	—	`conf`	Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation. KDD (2) Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin
2025	J	`jnl`	Multi-Objective Unlearning in Recommender Systems via Preference Guided Pareto Exploration. IEEE Trans. Serv. Comput. Yuyuan Li, Yizhao Zhang, Weiming Liu, Xiaohua Feng, Zhongxuan Han, Chaochao Chen, Chenggang Yan
2025	A	`conf`	Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. CIKM Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen
2025	A*	`conf`	Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. WWW Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Li Zhang, Chaochao Chen, Xiaolin Zheng
2025	J	`jnl`	Post-Training Attribute Unlearning in Recommender Systems. ACM Trans. Inf. Syst. Chaochao Chen, Yizhao Zhang, Yuyuan Li, Jun Wang, Lianyong Qi, Xiaolong Xu, Xiaolin Zheng, Jianwei Yin
2025	J	`jnl`	Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm. CoRR Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiaolin Zheng, Chaochao Chen
2025	J	`jnl`	Profiling users with tag-enhanced spherical metric learning for recommendation. Int. J. Mach. Learn. Cybern. Yanchao Tan, Hang Lv, Xinyi Huang, Guofang Ma, Chaochao Chen
2025	J	`jnl`	RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems. CoRR Xiaohua Feng, Yuyuan Li, Fengyuan Yu, Ke Xiong, Junjie Fang, Li Zhang, Tianyu Du, Chaochao Chen
2025	J	`jnl`	Recommendations for Inactive Users: a Cross Domain Approach with Graph Neural Networks. Int. J. Mach. Learn. Cybern. Jun Zhou, Ziqi Liu, Meijuan Tan, Xiangyu Meng, Xiaocheng Cheng, Jianping Wei, Zhiqiang Zhang, Fengyuan Yu, Chaochao Chen, Jianwei Yin
2025	J	`jnl`	Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR Yuyuan Li, Junjie Fang, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han
2025	J	`jnl`	Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR Yixiu Liu, Zehui He, Yuyuan Li, Zhongxuan Han, Chaochao Chen, Xiaolin Zheng
2025	J	`jnl`	SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. IEEE Trans. Knowl. Data Eng. Mengying Zhu, Mengyuan Yang, Yan Wang, Fei Wu, Qianqiao Liang, Chaochao Chen, Hua Wei, Xiaolin Zheng
2025	A*	`conf`	Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. AAAI Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang
2025	J	`jnl`	Structure-Preserving Counterfactual Regression for Personalized Consumer-Electronics Service Networks. IEEE Trans. Consumer Electron. Fan Wang, Weiming Liu, Chaochao Chen, Renwu Geng, Lianyong Qi, Xiaolin Zheng
2025	J	`jnl`	TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models. CoRR Li Zhang, Zhongxuan Han, Xiaohua Feng, Jiaming Zhang, Yuyuan Li, Linbo Jiang, Jianan Lin, Chaochao Chen
2025	—	`conf`	Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. KDD (2) Huabin Zhu, Chaochao Chen, Xinting Liao, Pengyang Zhou, Xiaolin Zheng
2025	J	`jnl`	Towards Fairness Exploration and Optimization for Digital Service Networks. IEEE Trans. Serv. Comput. Zhongxuan Han, Li Zhang, Chaochao Chen, Xiaolin Zheng, Yuyuan Li, Shuiguang Deng, Guanjie Cheng, Schahram Dustdar
2025	A*	`conf`	Training-free Periodic Interest Augmentation in Incremental Recommendation. SIGIR Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang
2025	J	`jnl`	UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning. CoRR Jiaming Zhang, Yuyuan Li, Xiaohua Feng, Zhifei Ren, Li Zhang, Chaochao Chen
2025	J	`jnl`	UW-3DGS: Underwater 3D Reconstruction with Physics-Aware Gaussian Splatting. CoRR Wenpeng Xing, Jie Chen, Zaifeng Yang, Changting Lin, Jianfeng Dong, Chaochao Chen, Xun Zhou, Meng Han
2025	J	`jnl`	Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation. ACM Trans. Inf. Syst. Zhenghong Lin, Yanchao Tan, Jiamin Chen, Hengyu Zhang, Chaochao Chen, Shiping Wang, Carl Yang
2024	J	`jnl`	A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions. CoRR Yuyuan Li, Xiaohua Feng, Chaochao Chen, Qiang Yang
2024	A*	`conf`	CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. KDD Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng
2024	A*	`conf`	CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence. NeurIPS Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan
2024	J	`jnl`	CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence. CoRR Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan
2024	J	`jnl`	Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization. CoRR Xiaohua Feng, Chaochao Chen, Yuyuan Li, Li Zhang
2024	A	`conf`	DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. CIKM Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang
2024	J	`jnl`	DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. CoRR Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang
2024	A	`conf`	Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. ICWS Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu
2024	J	`jnl`	Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. CoRR Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu
2024	A*	`conf`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. NeurIPS Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	J	`jnl`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. CoRR Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	A*	`conf`	Federated Graph Learning for Cross-Domain Recommendation. NeurIPS Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan
2024	J	`jnl`	Federated Graph Learning for Cross-Domain Recommendation. CoRR Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan
2024	A*	`conf`	Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models. EMNLP Xiaohua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin
2024	J	`jnl`	Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. ACM Trans. Web Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
2024	A*	`conf`	Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. SIGIR Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li
2024	J	`jnl`	Integration of large language models and federated learning. Patterns Chaochao Chen, Xiaohua Feng, Yuyuan Li, Lingjuan Lyu, Jun Zhou, Xiaolin Zheng, Jianwei Yin
2024	A*	`conf`	Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. AAAI Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin
2024	A*	`conf`	Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong
2024	A*	`conf`	Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
2024	J	`jnl`	Making recommender systems forget: Learning and unlearning for erasable recommendation. Knowl. Based Syst. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Junlin Liu, Jun Wang
2024	J	`jnl`	Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. IEEE Trans. Knowl. Data Eng. Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
2024	A*	`conf`	One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment. ICML Chaochao Chen, Jiaming Zhang, Yuyuan Li, Zhongxuan Han
2024	J	`jnl`	PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN. CoRR Fei Zheng, Chaochao Chen, Zhongxuan Han, Xiaolin Zheng
2024	J	`jnl`	Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. CoRR Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
2024	J	`jnl`	Post-Training Attribute Unlearning in Recommender Systems. CoRR Chaochao Chen, Yizhao Zhang, Yuyuan Li, Dan Meng, Jun Wang, Xiaoli Zheng, Jianwei Yin
2024	A*	`conf`	Protecting Split Learning by Potential Energy Loss. IJCAI Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin
2024	A*	`conf`	Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong
2024	A*	`conf`	Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
2024	J	`jnl`	Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
2024	A*	`conf`	Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng
2024	A*	`conf`	UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training. NeurIPS Biao Gong, Shuai Tan, Yutong Feng, Xiaoying Xie, Yuyuan Li, Chaochao Chen, Kecheng Zheng, Yujun Shen, Deli Zhao
2024	A*	`conf`	User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. WWW Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang
2024	J	`jnl`	WassFFed: Wasserstein Fair Federated Learning. CoRR Zhongxuan Han, Li Zhang, Chaochao Chen, Xiaolin Zheng, Fei Zheng, Yuyuan Li, Jianwei Yin
2023	J	`jnl`	A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu
2023	A*	`conf`	Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang
2023	J	`jnl`	Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu
2023	A*	`conf`	DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023	J	`jnl`	DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023	A	`conf`	Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CIKM Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
2023	J	`jnl`	Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CoRR Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
2023	J	`jnl`	Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen
2023	J	`jnl`	Defending Label Inference Attacks in Split Learning under Regression Setting. CoRR Haoze Qiu, Fei Zheng, Chaochao Chen, Xiaolin Zheng
2023	A*	`conf`	Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang
2023	A*	`conf`	Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
2023	A*	`conf`	Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. ICDM Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang
2023	A	`conf`	FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning. CIKM Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang, Xiaolong Hu
2023	J	`jnl`	Federated Large Language Model: A Position Paper. CoRR Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng
2023	J	`jnl`	Federated Learning for Short Text Clustering. CoRR Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng
2023	A	`conf`	Federated Learning on Non-iid Data via Local and Global Distillation. ICWS Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
2023	J	`jnl`	Federated Learning on Non-iid Data via Local and Global Distillation. CoRR Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
2023	A*	`conf`	Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. IJCAI Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng
2023	J	`jnl`	Federated Unlearning via Active Forgetting. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang
2023	J	`jnl`	Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang
2023	A	`conf`	Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. ICWS Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
2023	J	`jnl`	Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. CoRR Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
2023	A*	`conf`	HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
2023	J	`jnl`	HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. CoRR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
2023	A*	`conf`	INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. WWW Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen
2023	J	`jnl`	INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. CoRR Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen
2023	A*	`conf`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. ACM Multimedia Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
2023	J	`jnl`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
2023	A*	`conf`	Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. WWW Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao
2023	A*	`conf`	Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
2023	A*	`conf`	Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023	J	`jnl`	Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
2023	J	`jnl`	Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. CoRR Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng
2023	A*	`conf`	Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. ACM Multimedia Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
2023	J	`jnl`	Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
2023	A*	`conf`	PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
2023	J	`jnl`	PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
2023	A*	`conf`	Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. ACM Multimedia Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
2023	J	`jnl`	REFER: Randomized Online Factor Selection Framework for portfolio Management. Expert Syst. Appl. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yan Wang, Biao Gong
2023	A*	`conf`	Reducing Communication for Split Learning by Randomized Top-k Sparsification. IJCAI Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
2023	J	`jnl`	Reducing Communication for Split Learning by Randomized Top-k Sparsification. CoRR Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
2023	—	`conf`	Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. ACL (1) Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
2023	J	`jnl`	Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. CoRR Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
2023	J	`jnl`	SQLFlow: An Extensible Toolkit Integrating DB and AI. J. Mach. Learn. Res. Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, Chaochao Chen
2023	J	`jnl`	Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang
2023	J	`jnl`	Selective and collaborative influence function for efficient recommendation unlearning. Expert Syst. Appl. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen
2023	A*	`conf`	UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
2023	J	`jnl`	cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. IACR Trans. Cryptogr. Hardw. Embed. Syst. Tao Lu, Chengkun Wei, Ruijing Yu, Chaochao Chen, Wenjing Fang, Lei Wang, Zeke Wang, Wenzhi Chen
2022	A*	`conf`	4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang
2022	—	`conf`	A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing. iThings/GreenCom/CPSCom/SmartData/Cybermatics Fei Dai, Guozhi Liu, Bi Huang, Xiaolong Xu, Chaochao Chen, Zhangbing Zhou, Xiaokang Zhou
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022	—	`conf`	An Intelligent Resource Scheduling Method with Edge Channel Deployment for BPM. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Bowen Liu, Wanchun Dou, Xiaokang Zhou, Xuyun Zhang, Lianyong Qi, Fei Dai, Chaochao Chen
2022	A*	`conf`	Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. WWW Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	J	`jnl`	Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. CoRR Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	A	`conf`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	J	`jnl`	Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022	A*	`conf`	DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. ACM Multimedia Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
2022	J	`jnl`	DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. CoRR Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
2022	A*	`conf`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	J	`jnl`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	A*	`conf`	Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
2022	J	`jnl`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2022	A*	`conf`	Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen
2022	J	`jnl`	Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. CoRR Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
2022	J	`jnl`	Exponential Gradient with Momentum for Online Portfolio Selection. Expert Syst. Appl. Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Jiawei Wang, Shuai Xu
2022	J	`jnl`	FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng
2022	A*	`conf`	HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. IJCAI Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
2022	J	`jnl`	HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. CoRR Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
2022	J	`jnl`	Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems. CoRR Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
2022	A*	`conf`	MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
2022	J	`jnl`	Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. CoRR Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Junlin Liu
2022	J	`jnl`	Making Split Learning Resilient to Label Leakage by Potential Energy Loss. CoRR Fei Zheng, Chaochao Chen, Binhui Yao, Xiaolin Zheng
2022	A*	`conf`	MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
2022	J	`jnl`	Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. CoRR Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang
2022	J	`jnl`	Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2022	J	`jnl`	Towards secure and practical machine learning via secret sharing and random permutation. Knowl. Based Syst. Fei Zheng, Chaochao Chen, Xiaolin Zheng, Mingjie Zhu
2022	A*	`conf`	Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
2022	A*	`conf`	Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2022	J	`jnl`	cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. IACR Cryptol. ePrint Arch. Tao Lu, Chengkun Wei, Ruijing Yu, Yi Chen, Li Wang, Chaochao Chen, Zeke Wang, Wenzhi Chen
2021	J	`jnl`	A Boosting Framework of Factorization Machine. Int. J. Pattern Recognit. Artif. Intell. Jun Zhou, Longfei Li, Ziqi Liu, Chaochao Chen
2021	J	`jnl`	A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu
2021	J	`jnl`	ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Netw. Appl. Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
2021	J	`jnl`	Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. CoRR Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou
2021	A*	`conf`	Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
2021	J	`jnl`	Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
2021	A*	`conf`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2021	J	`jnl`	Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. CoRR Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao
2021	A	`conf`	Large-scale Secure XGB for Vertical Federated Learning. CIKM Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang
2021	A*	`conf`	Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. NeurIPS Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng
2021	J	`jnl`	Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. CoRR Fei Zheng, Chaochao Chen, Xiaolin Zheng
2021	A*	`conf`	When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. KDD Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong
2020	J	`jnl`	A Deep Framework for Cross-Domain and Cross-System Recommendations. CoRR Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
2020	A*	`conf`	A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
2020	J	`jnl`	A Hybrid-Domain Framework for Secure Gradient Tree Boosting. CoRR Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X
2020	J	`jnl`	ASFGNN: Automated Separated-Federated Graph Neural Network. CoRR Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
2020	J	`jnl`	Adapted tree boosting for Transfer Learning. CoRR Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
2020	A*	`conf`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2020	—	`conf`	Faster Secure Multiparty Computation of Adaptive Gradient Descent. PPMLP@CCS Wen-jie Lu, Yixuan Fang, Zhicong Huang, Cheng Hong, Chaochao Chen, Hunter Qu, Yajin Zhou, Kui Ren
2020	J	`jnl`	Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
2020	J	`jnl`	Highly-Scalable Protected Graph Database Search with Oblivious Filter. IACR Cryptol. ePrint Arch. Jamie Cui, Chaochao Chen, Li Wang
2020	J	`jnl`	How Much Can A Retailer Sell? Sales Forecasting on Tmall. CoRR Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
2020	J	`jnl`	Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
2020	J	`jnl`	Industrial Scale Privacy Preserving Deep Neural Network. CoRR Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
2020	A	`conf`	Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. CoRR Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Privacy Preserving PCA for Multiparty Modeling. CoRR Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu
2020	J	`jnl`	Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
2020	J	`jnl`	Privacy-Preserving Graph Neural Network for Node Classification. CoRR Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang
2020	J	`jnl`	Secret Sharing based Secure Regressions with Applications. CoRR Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang
2020	A	`conf`	Secure Social Recommendation Based on Secret Sharing. ECAI Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
2020	J	`jnl`	Secure Social Recommendation based on Secret Sharing. CoRR Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
2020	J	`jnl`	Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
2020	J	`jnl`	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
2020	J	`jnl`	Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2020	J	`jnl`	When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. CoRR Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong
2019	J	`jnl`	A Time Attention based Fraud Transaction Detection Framework. CoRR Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li
2019	—	`conf`	Adapted Tree Boosting for Transfer Learning. IEEE BigData Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
2019	J	`jnl`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2019	A	`conf`	DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng
2019	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou
2019	J	`jnl`	EXPLORE: EXPLainable item-tag CO-REcommendation. Inf. Sci. Xiaolin Zheng, Menghan Wang, Chaochao Chen, Yan Wang, Zhehao Cheng
2019	J	`jnl`	FinBrain: when finance meets AI 2.0. Frontiers Inf. Technol. Electron. Eng. Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan
2019	A*	`conf`	Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. NeurIPS Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
2019	J	`jnl`	Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
2019	A*	`conf`	GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
2019	—	`conf`	How Much Can A Retailer Sell? Sales Forecasting on Tmall. PAKDD (2) Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
2019	J	`jnl`	Quantification of the Leakage in Federated Learning. CoRR Zhaorui Li, Zhicong Huang, Chaochao Chen, Cheng Hong
2018	A*	`conf`	A Deep Framework for Cross-Domain and Cross-System Recommendations. IJCAI Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
2018	—	`conf`	A Local Online Learning Approach for Non-linear Data. PAKDD (2) Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li
2018	—	`conf`	An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. DASFAA (2) Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li
2018	A*	`conf`	Distributed Collaborative Hashing and Its Applications in Ant Financial. KDD Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
2018	J	`jnl`	Distributed Collaborative Hashing and Its Applications in Ant Financial. CoRR Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
2018	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
2018	J	`jnl`	FinBrain: When Finance Meets AI 2.0. CoRR Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan
2018	J	`jnl`	GeniePath: Graph Neural Networks with Adaptive Receptive Paths. CoRR Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song
2018	A	`conf`	Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
2018	A*	`conf`	Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. AAAI Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
2018	J	`jnl`	Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. ACM Trans. Knowl. Discov. Data Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng
2018	J	`jnl`	Time-sensitive Customer Churn Prediction based on PU Learning. CoRR Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li
2017	A*	`conf`	KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi
2017	—	`conf`	Large scale app recommendation in Ant Financial. IEEE BigData Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li
2017	A*	`conf`	POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. CCS Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song
2017	A	`conf`	Sparse Overlap Cross-Platform Recommendation Via Adaptive Similarity Structure Regularization. ICWSM Hanqing Lu, Chaochao Chen, Qinyue Jiang
2017	J	`jnl`	Towards Context-aware Social Recommendation via Individual Trust. Knowl. Based Syst. Jun Li, Chaochao Chen, Huiling Chen, Changfei Tong
2016	J	`jnl`	A hybrid approach for movie recommendation via tags and ratings. Electron. Commer. Res. Appl. Shouxian Wei, Xiaolin Zheng, Deren Chen, Chaochao Chen
2016	A*	`conf`	Capturing Semantic Correlation for Item Recommendation in Tagging Systems. AAAI Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen
2016	J	`jnl`	Recommender System with Composite Social Trust Networks. Int. J. Web Serv. Res. Chaochao Chen, Xiaolin Zheng, Mengying Zhu, Litao Xiao
2016	J	`jnl`	Social recommendation via multi-view user preference learning. Neurocomputing Hanqing Lu, Chaochao Chen, Ming Kong, Hanyi Zhang, Zhou Zhao
2016	J	`jnl`	Topic tensor factorization for recommender system. Inf. Sci. Xiaolin Zheng, Weifeng Ding, Zhen Lin, Chaochao Chen
2015	J	`jnl`	A Hybrid Trust-Based Recommender System for Online Communities of Practice. IEEE Trans. Learn. Technol. Xiaolin Zheng, Chaochao Chen, Jui-Long Hung, Wu He, Fuxing Hong, Zhen Lin
2015	J	`jnl`	Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood. Expert Syst. Appl. Xiaolin Zheng, Zhen Lin, Huan Xu, Chaochao Chen, Ting Ye
2014	—	`conf`	Collaborative Topic Modeling for Text Tensors. ICEBE Weifeng Ding, Xiaolin Zheng, Chaochao Chen, Zukun Yu, Deren Chen
2014	A*	`conf`	Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems. AAAI Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin
2013	—	`conf`	Making Recommendations on Microblogs through Topic Modeling. WISE Workshops Chaochao Chen, Xiaolin Zheng, Chaofei Zhou, Deren Chen
2013	—	`conf`	Recommender System Based on Social Trust Relationships. ICEBE Chaochao Chen, Jing Zeng, Xiaolin Zheng, Deren Chen