Chaochao Chen
Distinguished Research Fellow
College of Computer Science and Technology, Zhejiang University
Yuquan Campus, 38 Zheda Road, Hangzhou 310027, China
Email: zjuccc [at] zju [dot] edu [dot] cn
News
May 2024. One paper got accepted by KDD'24.
May 2024. One paper got accepted by ICWS'24.
May 2024. Two papers got accepted by ICML'24.
April 2024. I am invited to server as area chair of NeurIPS'24.
April 2024. One paper got accepted by IJCAI'22.
March 2024. Two papers got accepted by SIGIR'24.
February 2024. One paper got accepted by CVPR'24.
December 2023. Two papers got accepted by AAAI'24.
December 2023. One paper got accepted by ICDE'24.
September 2023. One paper got accepted by NeurIPS'23.
August 2023. Two papers got accepted by CIKM'23.
August 2023. Six papers got accepted by ACM MM'23.
July 2023. We released a paper on Federated Large Language Model.
May 2023. Two papers got accepted by ICWS'23.
May 2023. One paper got accepted by ACL'23.
April 2023. Three papers got accepted by IJCAI'23.
April 2023. One paper got accepted by CHES.
March 2023. We launched a special issue named "Advanced Analyses and Algorithms for Trustworthy AI Systems and Applications" on Mathematics (SCI, IF=2.592).
January 2023. Four papers got accepted by TheWebConf'23.
December 2022. One paper received the Outstanding Paper Award of IEEE UIC'23.
December 2022. One paper got accepted by ICDE'23.
December 2022. One paper was accepted by IEEE TKDE.
November 2022. I will give a keynote speech at ICDM NeuRec 2022.
November 2022. One paper got accepted by AAAI'23.
October 2022. One paper got accepted by ACM Transactions on the Web (TWEB).
October 2022. One paper receives the Best Paper Runner Up Award CIKM'22.
October 2022. Our paper receives the Best Paper Award of CIKM-FedGraph’22.
September 2022. One paper was accepted by IEEE TKDE.
August 2022. One paper got accepted by CIKM'22.
June 2022. One paper got accepted by ACM MM'22.
May 2022. One paper got accepted by KDD'22.
April 2022. Three papers got accepted by IJCAI'22.
April 2022. One paper got accepted by IEEE Transactions on Dependable and Secure Computing.
March 2022. Two papers got accepted by SIGIR'22.
January 2022. Two papers got accepted by TheWebConf'22.
November 2021. One paper got accepted by ICDE'22.
November 2021. Our paper on Privacy Preserving Deep Neural Network was accepted by ACM TIST.
November 2021. I joined College of Computer Science and Technology of Zhejiang University as a Distinguished Research Fellow.
October 2021. Our book entitled Privacy-Preserving Machine Learning (In Chinese) was published.
September 2021. Two papers got accepted by NeurIPS'21.
September 2021. I attended a panel as a panelist of IEEE Services FFS.
August 2021. Our paper Large-scale Secure XGB for Vertical Federated Learning was accepted by CIKM'21.
July 2021. Our paper A Unified Framework for Cross-Domain and Cross-System Recommendations was accepted by IEEE TKDE.
May 2021. Our paper on Secure Large-Scale Sparse Logistic Regression was accepted by KDD'21.
April 2021. Our paper Cross-Domain Recommendation: Challenges, Progress, and Prospects was accepted by IJCAI'21 Survey Track.
March 2021. Check out our newly released paper on searching over protected graph database: Secure Graph Database Search with Oblivious Filter.
January 2021. Our paper ASFGNN: Automated Separated-Federated Graph Neural Network has been accepted by PPNA.
November 2020. Check out our survey paper: Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.
October 2020. I am invited to be a senior program committee member of IJCAI'21.
Short Bio
Dr. Chaochao Chen is currently a Distinguished Research Fellow at the College of Computer Science and Technology, Zhejiang University. Before that, He was a Staff Algorithm Engineer at Ant Group, during July 2016 - October 2021. He got his Ph.D in Computer Science and Technology at Zhejiang University in 2016. He was also a visiting scholar at the Computer Science Department of University of Illinois at Urbana-Champaign during Sep. 2014 - Sep. 2015. His research mainly focuses on trustworthy machine learning, privacy-preserving privacy preserving, and recommender systems. He has published more than 100 papers in peer reviewed journals and conferences. He won the Best Paper runner up award of CIKM'22 and Outstanding Paper award of UIC'22. He has also applied for more than 200 International and Chinese patents, and more than 100 of them have been issued. He is a senior member of IEEE and CCF.
(In the following list, '#' means 'Equal contribution' and '*' denotes 'Corresponding Author'.)
2024
CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation.
Fan Wang, Chaochao Chen*, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng.
KDD 2024. (CCF A)
Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation.
Xinping Zhao, Chaochao Chen*, Jiajie Su, Yizhao Zhang and Baotian Hu.
ICWS 2024. (CCF B)
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation.
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong.
ICML 2024. (CCF A)
One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment.
Chaochao Chen, Jiaming Zhang, Yuyuan Li, Zhongxuan Han.
ICML 2024. (CCF A)
Protecting Split Learning by Potential Energy Loss.
Fei Zheng, Chaochao Chen, Lingjuan Lyu, Xinyi Fu, Xing Fu, Weiqiang Wang, Xiaolin Zheng, Jianwei Yin.
IJCAI 2024. (CCF A)
Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems.
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang and Yuyuan Li.
SIGIR 2024. (CCF A)
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.
Jiajie Su, Chaochao Chen*, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang and Xiaolin Zheng.
SIGIR 2024. (CCF A)
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.
CVPR 2024. (CCF A)
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation.
Weiming Liu, Chaochao Chen*, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang.
TheWebConf 2024. (CCF A)
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.
AAAI 2024. (CCF A)
Intra- and Inter-Group Optimal Transport for User-Oriented Fairness in Recommender Systems.
Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin.
AAAI 2024. (CCF A)
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation.
Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang.
ICDE 2024. (CCF A)
Making recommender systems forget: Learning and unlearning for erasable recommendation.
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Junlin Liu, Jun Wang.
KBS 2024. (SCI, IF=8.8)
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.
NeurIPS 2023. [code] (CCF A)
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.
Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Hertzberg, and Carl Yang.
ICDM 2023. (CCF B)
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning.
Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang.
ESWA 2023. (SCI, IF=8.5)
FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning.
Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen*, Yuzhou Tang, Lei Wang, Xiaolong Hu.
CIKM 2023. (CCF B)
Decentralized Graph Neural Network for Privacy-Preserving Recommendation.
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen*, Jiashu Qian, Yao Yang.
CIKM 2023. (CCF B)
Federated Large Language Model: A Position Paper.
Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng.
Preprint 2023.
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.
Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng.
ACM MM 2023. (CCF A)
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.
ACM MM 2023. (CCF A)
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.
ACM MM 2023. (CCF A)
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.
ACM MM 2023. (CCF A)
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.
ACM MM 2023. (CCF A)
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems.
Yuyuan Li, Chaochao Chen*, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang.
ACM MM 2023. (CCF A)
Federated Learning on Non-iid Data via Local and Global Distillation.
Xiaolin Zheng, Senci Ying, Fei Zheng, Jianwei Yin, Longfei Zheng, Chaochao Chen* and Fengqin Dong.
ICWS 2023. (CCF B)
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks.
Xiaolin Zheng, Zhongyu Wang, Chaochao Chen*, Feng Zhu and Jiashu Qian.
ICWS 2023. (CCF B)
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
ACL 2023. [code] (CCF A)
Reducing Communication for Split Learning by Randomized Top-k Sparsification.
Fei Zheng, Chaochao Chen*, Lingjuan Lyu, Binhui Yao.
IJCAI 2023. (CCF A)
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.
IJCAI 2023. [code] (CCF A)
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation.
Weiming Liu, Chaochao Chen*, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng.
IJCAI 2023. (CCF A)
cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel.
Tao Lu, Chengkun Wei, Ruijing Yu, Chaochao Chen, Wenjing Fang, Lei Wang, Zeke Wang, Wenzhi Chen.
CHES 2023 [pdf]. (CCF B)
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation.
Zhongxuan Han, Xiaolin Zheng, Chaochao Chen*, Wenjie Cheng and Yang Yao.
TheWebConf 2023. (CCF A)
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 and Yanchao Tan.
TheWebConf 2023: 383-394. (CCF A)
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.
Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng and Haoming Lyu.
TheWebConf 2023: 165-176. (CCF A)
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen and Longbiao Chen.
TheWebConf 2023 [pdf]. (CCF A)
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
IEEE UIC 2023. (CCF C, Outstanding Paper Award)
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.
ICDE 2023 [pdf]. (CCF A)
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation.
Weiming Liu,Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen*, Mengling Hu.
TKDE 2023, 35(2): 1171-1184. (CCF A)
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-domain Recommendation.
Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen*.
AAAI 2023 [pdf]. (CCF A)
2022
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems.
Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen*, Linxun Chen, Bing Han.
ACM Transactions on the Web (TWEB) [pdf]. (CCF B)
Finding High-quality Item Attributes for Recommendation.
Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang.
TKDE 2022 [pdf]. (CCF A)
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang.
KDD 2022: 4838-4839 [pdf]. (CCF A)
VFGNN: A Mixed Framework for Vertically Federated Graph Neural Network.
Chaochao Chen, Fei Zheng, Jun Zhou, Lingjuan Lyu, Jianwei Yin, Longfei Zheng, Li Wang, Xiaolin Zheng.
CIKM FedGraph 2022. (Best Paper Award)
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Chaochao Chen, Zhiwei Liu, Jia Wu, Xu Bai, Philip S. Yu.
CIKM 2022:1685-1695 [pdf]. (CCF B, Best Paper Runner Up Award)
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation.
Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen*.
ACM MM 2022: 471-481 [pdf]. (CCF A)
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.
KDD 2022: 3970-3980 [pdf]. (CCF A)
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.
Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng.
IJCAI 2022: 1959-1965 [pdf]. (CCF A)
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation.
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng.
IJCAI 2022: 2270-2276 [pdf]. (CCF A)
MERIT: Learning Multi-level Representations on Temporal Graphs.
Binbin Hu, Zhengwei Wu, Ziqi Liu, Jun Zhou, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen*.
IJCAI 2022: 2073-2079 [pdf]. (CCF A)
Decision Boundary-aware Data Augmentation for Adversarial Training.
Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen.
TDSC 2022 [pdf]. (CCF A)
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan and Chaochao Chen*.
SIGIR 2022: 312-321 [pdf]. (CCF A)
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 and Xiaolin Zheng
SIGIR 2022: 449-459 [pdf]. (CCF A)
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation.
Fei Zheng, Chaochao Chen, Xiaolin Zheng, Mingjie Zhu.
Knowledge-Based Systems [pdf]. 2022. (SCI, CCF C)
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.
Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng and Li Wang.
TheWebConf 2022: 1455-1465 [pdf] [code]. (CCF A)
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation.
Weiming Liu, Xiaolin Zheng, Mengling Hu and Chaochao Chen*.
TheWebConf 2022: 1181-1190 [pdf]. (CCF A)
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.
Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng.
ICDE 2022: 1180-1192 [pdf]. (CCF A)
Towards 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 TIST 2022, 13(4): 53:1-53:21 [pdf]. (SCI)
2021
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.
Jamie Cui, Chaochao Chen*, Lingjuan Lyu, Carl Yang, Wang Li.
NeurIPS 2021: 10524-10534 [pdf]. (CCF A)
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation.
Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng.
NeurIPS 2021: 19223-19234 [pdf]. (CCF A)
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.
CIKM 2021: 443-452 [pdf]. (CCF B)
A Unified Framework for Cross-Domain and Cross-System Recommendations.
Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen*, Longfei Li, Guanfeng Liu.
IEEE TKDE 2021 [pdf]. (CCF A)
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 X. Liu, Hao Wang, Cheng Hong.
KDD 2021: 2652-2662 [pdf] (CCF A)
Cross-Domain Recommendation: Challenges, Progress, and Prospects.
Feng Zhu, Yan Wang, Chaochao Chen*, Jun Zhou, Longfei Li, Guanfeng Liu.
IJCAI 2021:4721-4728 [pdf] (CCF A)
ASFGNN: Automated Separated-Federated Graph Neural Network.
Longfei Zheng, Jun Zhou, Chaochao Chen*, Bingzhe Wu, Li Wang, Benyu Zhang.
PPNA 14(3): 1692-1704 2021 [pdf] (CCF C)
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.
Preprint 2020 [pdf]
Secure Graph Database Search with Oblivious Filter.
Jamie Cui, Chaochao Chen*, Alex X. Liu, Li Wang.
Cryptology ePrint Archive, Report 2020/1415 [pdf]
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.
PPMLP 2020: 47–49 [pdf]
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.
CIKM 2020: 3369-3372 [pdf] (CCF B)
Secure Social Recommendation based on Secret Sharing.
Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou.
ECAI 2020: 506-512 [pdf] (CCF B)
Practical Privacy Preserving POI Recommendation.
Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjin Fang, Li Wang, Yuan Qi, Xiaolin Zheng.
ACM TIST 11(5): 52:1-52:20, 2020 [pdf] (SCI)
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation.
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng.
IJCAI 2020: 3001-3008 [pdf] [code] [data] (CCF A)
Industrial Scale Privacy Preserving Deep Neural Networks.
Longfei Zheng, Chaochao Chen*, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang and Jun Zhou.
AAAI'2020 Workshop on Privacy-Preserving Artificial Intelligence [pdf]
Privacy Preserving PCA for Multiparty Modeling.
Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu.
AAAI'2020 Workshop on Privacy-Preserving Artificial Intelligence [pdf]
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.
AAAI 2020: 6372-6379 [pdf] (CCF A)
2019
Adapted Tree Boosting for Transfer Learning.
Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Zhu.
IEEE BigData 2019: 741-750 [pdf] (CCF C)
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation.
Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng.
CIKM 2019: 1533-1542 [pdf] [data] (CCF B)
Quantification of the Leakage in Federated Learning.
Zhaorui Li, Zhicong Huang, Chaochao Chen, Cheng Hong.
NeurIPS Workshop on Federated Learning for Data Privacy and Confidentiality 2019 [pdf]
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.
NeurIPS 2019 [pdf] (CCF A)
How Much Can A Retailer Sell? Sales Forecasting on Tmall.
Chaochao Chen#, ZiqiLiu#, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong.
PAKDD 2019: 204-216 [pdf] (CCF C)
FinBrain: when finance meets AI 2.0.
Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan.
Frontiers of Information Technology & Electronic Engineering, 2019, 20(7): 914-924 [pdf] (SCI)
EXPLORE: Explainable Item-Tag Co-recommendation.
Xiaolin Zheng, Menghan Wang, Chaochao Chen, Yan Wang, Zhehao Cheng.
Information Sciences, 474: 170-186 (2019). (CCF B)
GeniePath: Graph Neural Networks with Adaptive Receptive Paths.
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi.
AAAI 2019 [pdf] (CCF A)
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.
ACM TIST 10.5 (2019): 1-19 [pdf] (SCI)
2018
Heterogeneous Graph Neural Networks for Malicious Account Detection.
Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song.
CIKM 2018: 2077-2085 [pdf] (CCF B)
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model.
Chaochao Chen, Kevin C. Chang, Qibing Li, Xiaolin Zheng.
TKDD 12 (6): 73:1-73:24 (2018) [pdf] (CCF B)
A Deep Framework for Cross-Domain and Cross-System Recommendations.
Feng Zhu, Yan Wang, Chaochao Chen, Mehmet Orgun, Jia Wu, Guanfeng Liu.
IJCAI 2018: 3711-3717 [pdf] (CCF A)
Distributed Collaborative Hashing and Its Applications in Ant Financial.
Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li.
SIGKDD 2018: 100-109 [pdf] (CCF A)
An Industrial-scale System for Heterogeneous Information Card Ranking in Alipay.
Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li.
DASFFA 2018: 713-724 [pdf] (CCF B)
A Local Online Learning Approach for Non-linear Data.
Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li.
PAKDD 2018: 431-443 (CCF C)
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization.
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li.
AAAI 2018: 257-264 [pdf] (CCF A)
2017
Towards Context-Aware Social Recommendation via Individual Trust.
Jun Li, Chaochao Chen*, Huiling Chen, Changfei Tong.
Knowledge-Based System 127: 58-66 (2017) [pdf] (CCF C)
Large scale app recommendation in Ant Financial.
Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li.
BigData 2017: 4733-4735 (CCF C)
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.
SIGKDD 2017: 1693-1702 [pdf] (CCF A)
POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.
Ziqi Liu#, Chaochao Chen#, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song.
ACM Conference on Computer and Communications Security (CCS) 2017: 2543-2545 (CCF A)
2016
Social recommendation via multi-view user preference learning.
Hanqing Lu, Chaochao Chen, Ming Kong, Hanyi Zhang, Zhou Zhao.
Neurocomputing 216: 61-71 (2016) [pdf] (CCF C)
Recommender System with Composite Social Trust Networks.
Chaochao Chen, Xiaolin Zheng, Mengying Zhu, Litao Xiao.
International Journal Web Service Research 13(2): 56-73 (2016) [pdf] (SCI)
A hybrid approach for movie recommendation via tags and ratings. Electronic Commerce Research and Applications.
Shouxian Wei, Xiaolin Zheng, Deren Chen, Chaochao Chen.
Electronic Commerce Research and Applications. 18: 83-94 (2016) (SCI)
Topic tensor factorization for recommender system.
Xiaolin Zheng, Weifeng Ding, Zhen Lin, Chaochao Chen.
Information Sciences 372: 276-293 (2016) (CCF B)
Capturing Semantic Correlation for Item Recommendation in Tagging Systems.
Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Deren Chen.
AAAI 2016: 108-114 [pdf] (CCF A)
2015 and Before
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 Transactions on Learning Technologies 8(4): 345-356 (2015) [pdf] (SCI)
Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood.
Xiaolin Zheng, Zhen Lin, Huan Xu, Chaochao Chen, Ting Ye.
Expert Systems With Applications 42(21): 7732-7745 (2015) (CCF C)
Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems.
Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin.
AAAI 2014: 9-15 [pdf] (CCF A)
Professional Services
Journal Reviewer or Review Editor: IEEE TKDE, Frontiers in Big Data, Machine Learning Journal, Computer Standards & Interfaces, Neurocomputing, IEEE Intelligent Systems, IEEE TSP, ACM TIST, Security and Communication Networks, IEEE TNNLS, IEEE TDSC, IEEE TPAMI, IEEE TC, ACM TOIS, Knowledge-Based Systems, Information Sciences, IEEE TSC
Conference Area Chair: NeurIPS'24
Conference PC Member:
2024: WSDM, WWW, ICLR, ICWS, ACL, SIGIR, SDM, ICML, CVPR
2023: WSDM, AAAI, WWW, ICASSP, IJCAI, KDD, ICML, SIGIR, ACL, ICWS, ECML-PKDD, NeurIPS, ACM MM
2022: IJCAI, AAAI, WSDM, WWW, KDD, ICML, ICWS, ACM MM, ECML-PKDD, NeurIPS
2021: WWW, AAAI, CIKM, ACM MM, ICWS, ACM MM ASIA
2020: AAAI, WWW, IJCAI, CCS-PPMLP
2019: AAAI, IJCAI, ACML
2018: IJCAI, ACML
Conference Senior PC Member: IJCAI'21
Others: Session Chair for IJCAI'18