Chaochao Chen

According to our database, Chaochao Chen authored at least 127 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 2024

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.

Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Selective and collaborative influence function for efficient recommendation unlearning.

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen

Expert Syst. Appl., December, 2023

Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation.

Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu

IEEE Trans. Knowl. Data Eng., November, 2023

Finding High-Quality Item Attributes for Recommendation.

Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang

IEEE Trans. Knowl. Data Eng., August, 2023

REFER: Randomized Online Factor Selection Framework for portfolio Management.

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yan Wang, Biao Gong

Expert Syst. Appl., August, 2023

A Unified Framework for Cross-Domain and Cross-System Recommendations.

Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu

IEEE Trans. Knowl. Data Eng., 2023

Decision Boundary-Aware Data Augmentation for Adversarial Training.

Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen

IEEE Trans. Dependable Secur. Comput., 2023

cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs.

Tao Lu, Chengkun Wei, Ruijing Yu, Chaochao Chen, Wenjing Fang, Lei Wang, Zeke Wang, Wenzhi Chen

IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023

Federated Learning for Short Text Clustering.

Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng

CoRR, 2023

Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering.

Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng

CoRR, 2023

Defending Label Inference Attacks in Split Learning under Regression Setting.

Haoze Qiu, Fei Zheng, Chaochao Chen, Xiaolin Zheng

CoRR, 2023

Federated Large Language Model: A Position Paper.

Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng

CoRR, 2023

Federated Unlearning via Active Forgetting.

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Jiaming Zhang

CoRR, 2023

Selective and Collaborative Influence Function for Efficient Recommendation Unlearning.

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang

CoRR, 2023

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.

Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen

Proceedings of the ACM Web Conference 2023, 2023

Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.

Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu

Proceedings of the ACM Web Conference 2023, 2023

Joint 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

Proceedings of the ACM Web Conference 2023, 2023

Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation.

Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao

Proceedings of the ACM Web Conference 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.

Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.

Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.

Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems.

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems.

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reducing Communication for Split Learning by Randomized Top-k Sparsification.

Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Federated Learning on Non-iid Data via Local and Global Distillation.

Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen, Fengqin Dong

Proceedings of the IEEE International Conference on Web Services, 2023

Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks.

Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Feng Zhu, Jiashu Qian

Proceedings of the IEEE International Conference on Web Services, 2023

DCMT: 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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Decentralized Graph Neural Network for Privacy-Preserving Recommendation.

Xiaolin Zheng, Zhongyu Wang, Chaochao Chen, Jiashu Qian, Yao Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning.

Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang, Xiaolong Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation.

Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.

Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin

ACM Trans. Intell. Syst. Technol., 2022

Towards secure and practical machine learning via secret sharing and random permutation.

Fei Zheng, Chaochao Chen, Xiaolin Zheng, Mingjie Zhu

Knowl. Based Syst., 2022

FinBrain 2.0: when finance meets trustworthy AI.

Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng

Frontiers Inf. Technol. Electron. Eng., 2022

Exponential Gradient with Momentum for Online Portfolio Selection.

Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Jiawei Wang, Shuai Xu

Expert Syst. Appl., 2022

Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems.

Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han

CoRR, 2022

Making Split Learning Resilient to Label Leakage by Potential Energy Loss.

Fei Zheng, Chaochao Chen, Binhui Yao, Xiaolin Zheng

CoRR, 2022

Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection.

Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang

CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, 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

CoRR, 2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen

CoRR, 2022

Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation.

Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Junlin Liu

CoRR, 2022

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.

Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang

CoRR, 2022

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.

Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

An Intelligent Resource Scheduling Method with Edge Channel Deployment for BPM.

Bowen Liu, Wanchun Dou, Xiaokang Zhou, Xuyun Zhang, Lianyong Qi, Fei Dai, Chaochao Chen

Proceedings of the IEEE Smartworld, 2022

MetaCare++: 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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.

Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation.

Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

4SDrug: 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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing.

Fei Dai, Guozhi Liu, Bi Huang, Xiaolong Xu, Chaochao Chen, Zhangbing Zhou, Xiaokang Zhou

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation.

Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MERIT: Learning Multi-level Representations on Temporal Graphs.

Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.

Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Cross-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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ASFGNN: Automated separated-federated graph neural network.

Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang

Peer-to-Peer Netw. Appl., 2021

A Boosting Framework of Factorization Machine.

Jun Zhou, Longfei Li, Ziqi Liu, Chaochao Chen

Int. J. Pattern Recognit. Artif. Intell., 2021

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback.

Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou

CoRR, 2021

Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis.

Bingzhe Wu, Zhicong Liang, Yatao Bian, Chaochao Chen, Junzhou Huang, Yuan Yao

CoRR, 2021

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation.

Fei Zheng, Chaochao Chen, Xiaolin Zheng

CoRR, 2021

Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation.

Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.

Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When 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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Cross-Domain Recommendation: Challenges, Progress, and Prospects.

Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Large-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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Practical Privacy Preserving POI Recommendation.

Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng

ACM Trans. Intell. Syst. Technol., 2020

Highly-Scalable Protected Graph Database Search with Oblivious Filter.

Jamie Cui, Chaochao Chen, Li Wang

IACR Cryptol. ePrint Arch., 2020

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.

Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin

CoRR, 2020

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty.

Yilun Lin, Chaochao Chen, Cen Chen, Li Wang

CoRR, 2020

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.

Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang

CoRR, 2020

When 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, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong

CoRR, 2020

Privacy-Preserving Graph Neural Network for Node Classification.

Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang

CoRR, 2020

A Hybrid-Domain Framework for Secure Gradient Tree Boosting.

Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X

CoRR, 2020

Secret Sharing based Secure Regressions with Applications.

Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang

CoRR, 2020

Industrial Scale Privacy Preserving Deep Neural Network.

Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang

CoRR, 2020

Practical Privacy Preserving POI Recommendation.

Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng

CoRR, 2020

Privacy Preserving PCA for Multiparty Modeling.

Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu

CoRR, 2020

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation.

Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Secure Social Recommendation Based on Secret Sharing.

Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Nebula: 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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Faster Secure Multiparty Computation of Adaptive Gradient Descent.

Wen-jie Lu, Yixuan Fang, Zhicong Huang, Cheng Hong, Chaochao Chen, Hunter Qu, Yajin Zhou, Kui Ren

Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.

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

ACM Trans. Intell. Syst. Technol., 2019

FinBrain: when finance meets AI 2.0.

Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan

Frontiers Inf. Technol. Electron. Eng., 2019

EXPLORE: EXPLainable item-tag CO-REcommendation.

Xiaolin Zheng, Menghan Wang, Chaochao Chen, Yan Wang, Zhehao Cheng

Inf. Sci., 2019

A Time Attention based Fraud Transaction Detection Framework.

Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li

CoRR, 2019

Quantification of the Leakage in Federated Learning.

Zhaorui Li, Zhicong Huang, Chaochao Chen, Cheng Hong

CoRR, 2019

How Much Can A Retailer Sell? Sales Forecasting on Tmall.

Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DTCDR: A Framework for Dual-Target Cross-Domain Recommendation.

Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adapted Tree Boosting for Transfer Learning.

Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model.

Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng

ACM Trans. Knowl. Discov. Data, 2018

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.

Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou

CoRR, 2018

Time-sensitive Customer Churn Prediction based on PU Learning.

Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li

CoRR, 2018

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.

Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song

CoRR, 2018

A Local Online Learning Approach for Non-linear Data.

Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Distributed Collaborative Hashing and Its Applications in Ant Financial.

Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Deep Framework for Cross-Domain and Cross-System Recommendations.

Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay.

Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li

Proceedings of the Database Systems for Advanced Applications, 2018

Heterogeneous Graph Neural Networks for Malicious Account Detection.

Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.

Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Towards Context-aware Social Recommendation via Individual Trust.

Jun Li, Chaochao Chen, Huiling Chen, Changfei Tong

Knowl. Based Syst., 2017

KunPeng: 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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Sparse Overlap Cross-Platform Recommendation Via Adaptive Similarity Structure Regularization.

Hanqing Lu, Chaochao Chen, Qinyue Jiang

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.

Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Large scale app recommendation in Ant Financial.

Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Recommender System with Composite Social Trust Networks.

Chaochao Chen, Xiaolin Zheng, Mengying Zhu, Litao Xiao

Int. J. Web Serv. Res., 2016

Topic tensor factorization for recommender system.

Xiaolin Zheng, Weifeng Ding, Zhen Lin, Chaochao Chen

Inf. Sci., 2016

Latent space regularization for recommender systems.

Fuxing Hong, Xiao-Lin Zheng, Chao-Chao Chen

Inf. Sci., 2016

Social recommendation via multi-view user preference learning.

Hanqing Lu, Chaochao Chen, Ming Kong, Hanyi Zhang, Zhou Zhao

Neurocomputing, 2016

A hybrid approach for movie recommendation via tags and ratings.

Shouxian Wei, Xiaolin Zheng, Deren Chen, Chaochao Chen

Electron. Commer. Res. Appl., 2016

Capturing Semantic Correlation for Item Recommendation in Tagging Systems.

Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Hybrid Trust-Based Recommender System for Online Communities of Practice.

Xiaolin Zheng, Chaochao Chen, Jui-Long Hung, Wu He, Fuxing Hong, Zhen Lin

IEEE Trans. Learn. Technol., 2015

Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood.

Xiaolin Zheng, Zhen Lin, Huan Xu, Chaochao Chen, Ting Ye

Expert Syst. Appl., 2015

2014

Collaborative Topic Modeling for Text Tensors.

Weifeng Ding, Xiaolin Zheng, Chaochao Chen, Zukun Yu, Deren Chen

Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems.

Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Making Recommendations on Microblogs through Topic Modeling.

Chaochao Chen, Xiaolin Zheng, Chaofei Zhou, Deren Chen

Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013

Recommender System Based on Social Trust Relationships.

Chaochao Chen, Jing Zeng, Xiaolin Zheng, Deren Chen

Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013