Chaochao Chen

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 146

Top Venues

Publications

Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE (2024)
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li
Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. SIGIR (2024)
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR (2024)
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. AAAI (2024)
Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. CoRR (2024)
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. WWW (2024)
Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng
CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. KDD (2024)
Fei Zheng, Chaochao Chen, Zhongxuan Han, Xiaolin Zheng
PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN. CoRR (2024)
Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. ACM Trans. Web 18 (2) (2024)
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI (2024)
Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. CoRR (2023)
Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI (2023)
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI (2023)
Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang
Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. WWW (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. CoRR (2023)
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. ACM Multimedia (2023)
Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen
Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. 20 (3) (2023)
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. ICWS (2023)
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR (2023)
Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng
Federated Learning for Short Text Clustering. CoRR (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR (2023)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. ACM Multimedia (2023)
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE (2023)
Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao
Reducing Communication for Split Learning by Randomized Top-k Sparsification. IJCAI (2023)
Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng
Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. CoRR (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yan Wang, Biao Gong
REFER: Randomized Online Factor Selection Framework for portfolio Management. Expert Syst. Appl. 223 (2023)
Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. ACM Multimedia (2023)
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang
Decentralized Graph Neural Network for Privacy-Preserving Recommendation. CIKM (2023)
Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
Federated Learning on Non-iid Data via Local and Global Distillation. CoRR (2023)
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW (2023)
Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. CoRR (2023)
Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. ACL (1) (2023)
Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang
Federated Unlearning via Active Forgetting. CoRR (2023)
Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW (2023)
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks. CoRR (2023)
Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. CoRR (2023)
Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR (2023)
Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. ACM Multimedia (2023)
Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong
Federated Learning on Non-iid Data via Local and Global Distillation. ICWS (2023)
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen
Selective and collaborative influence function for efficient recommendation unlearning. Expert Syst. Appl. 234 (2023)
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. IJCAI (2023)
Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu
A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Jiawei Wang, Shuai Xu
Exponential Gradient with Momentum for Online Portfolio Selection. Expert Syst. Appl. 187 (2022)
Bowen Liu, Wanchun Dou, Xiaokang Zhou, Xuyun Zhang, Lianyong Qi, Fei Dai, Chaochao Chen
An Intelligent Resource Scheduling Method with Edge Channel Deployment for BPM. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CoRR (2022)
Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Junlin Liu
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. CoRR (2022)
Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR (2022)
Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI (2022)
Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang
4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR (2022)
Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. CoRR (2022)
Fei Zheng, Chaochao Chen, Xiaolin Zheng, Mingjie Zhu
Towards secure and practical machine learning via secret sharing and random permutation. Knowl. Based Syst. 245 (2022)
Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. CoRR (2022)
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. CIKM (2022)
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
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR (2022)
Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD (2022)
Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. CoRR (2022)
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. CoRR (2022)
Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. WWW (2022)
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE (2022)
Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR (2022)
Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. ACM Multimedia (2022)
Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW (2022)
Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI (2022)
Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems. CoRR (2022)
Fei Zheng, Chaochao Chen, Binhui Yao, Xiaolin Zheng
Making Split Learning Resilient to Label Leakage by Potential Energy Loss. CoRR (2022)
Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR (2022)
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. IJCAI (2022)
Jun Zhou, Longfei Li, Ziqi Liu, Chaochao Chen
A Boosting Framework of Factorization Machine. Int. J. Pattern Recognit. Artif. Intell. 35 (10) (2021)
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI (2021)
Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang
Large-scale Secure XGB for Vertical Federated Learning. CIKM (2021)
Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu
A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR (2021)
Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Netw. Appl. 14 (3) (2021)
Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. NeurIPS (2021)
Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. KDD (2021)
Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis. CoRR (2021)
Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS (2021)
Fei Zheng, Chaochao Chen, Xiaolin Zheng
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation. CoRR (2021)
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR (2021)
Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. CoRR (2021)
Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
Secure Social Recommendation Based on Secret Sharing. ECAI (2020)
Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM (2020)
Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. 11 (5) (2020)
Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI (2020)
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR (2020)
Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR (2020)
Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR (2020)
Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X
A Hybrid-Domain Framework for Secure Gradient Tree Boosting. CoRR (2020)
Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR (2020)
Jamie Cui, Chaochao Chen, Li Wang
Highly-Scalable Protected Graph Database Search with Oblivious Filter. IACR Cryptol. ePrint Arch. 2020 (2020)
Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
Adapted tree boosting for Transfer Learning. CoRR (2020)
Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang
Privacy-Preserving Graph Neural Network for Node Classification. CoRR (2020)
Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang
Secret Sharing based Secure Regressions with Applications. CoRR (2020)
Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR (2020)
Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chaochao Chen