陈川

副教授

联系邮箱： chenchuan@mail.sysu.edu.cn

联系地址： 学院3楼

教师简介: 

陈川、博士、副教授、博士生导师。2012 于jbo竞博电竞官方网站数学与应用数学专业获学士学位，2016 于香港浸会大学数学统计专业获博士学位。近年来主要研究方向：可信机器学习理论与应用（联邦学习，机器学习鲁棒性等），及图机器学习理论与应用 （图神经网络、社交网络分析等）。近年发表SCI索引国际期刊（包括IEEE TNNLS, TIP, TPDS, TKDE, ACM TOIS, TKDD, NSR等）及国际会议论文（包括NeurIPS, KDD, AAAI, IJCAI, ICML, WWW, INFOCOM, CIKM, ICDM等）80余篇，包括中科院一区及CCF A类论文50余篇, ESI高被引论文2篇，申请及授权专利20余项。现任Elsevier国际期刊Software Impacts副主编，担任IEEE TIP/TSP/TNNLS/TCCB 等多份国际期刊审稿人，担任IJCAI/AAAI等多个国际学术会议的（高级）程序委员会委员及论坛主席，中国计算机学会(CCF)人工智能与模式识别专委会委员。主持国家重点研发计划项目课题，国家自然科学面上项目、青年基金，广东省基础研究项目/面上项目两项，CCF开放课题项目一项，2019年CCF-腾讯犀牛鸟科研基金项目一项，2021年腾讯微信犀牛鸟专项基金一项，课题组与多个企业（包括微信/微众银行/网易游戏/美图/平安银行/招联金融）等开展长期的研究合作项目，部分成果完成技术转化并在相关企业及单位中得到应用。获广东省计算机学会科技进步二等奖，CCF-腾讯犀牛鸟科研基金优秀奖 ，IEEE Computer Society 评选2022年度最佳论文（全球18篇，所在期刊唯一入选）,入选全球前2%顶尖科学家榜单（斯坦福大学）。

教学与学生指导：担任《代数与解析几何》、《人工智能》（课程评教曾列全校课程前0.02%、jbo竞博电竞官方网站教师教学竞赛一等奖、广东省高校教师教学创新大赛优秀奖​、广东省高校（本科）青年教师教学大赛二等奖、jbo竞博电竞官方网站一流本科课程、广东省教学改革项目）、《人工智能实验》（课程评教曾列全校课程前0.05%）、及《矩阵分析》等多门本科及研究生课程教学工作，小组学生曾获CCF优秀大学生奖,  腾讯犀牛鸟精英人才，ICDM/CIKM/SIAM/AAAI等会议Travel Grand,“隐语杯”全国高校隐私计算大赛决赛一等奖（1/74), 校级优秀毕业论文20余次，其中2020,2021年度所指导学生均获得校级优秀毕业论文。表现优秀可协助推荐至海外知名高校深造及网易/微信/微众银行等企业实习。

【长期面向博士后、博士研究生、硕士研究生、及本科实习生， 欢迎25级同学联系！】：如果您对联邦学习，图机器学习，鲁棒机器学习的理论方法、工程实现与应用落地等方面感兴趣，有较强自我驱动并有志于学术研究，欢迎通过邮件(chenchuan@mail.sysu.edu.cn)与我联系！

研究领域: 

联邦学习、图机器学习（图神经网络）、机器学习鲁棒性、数据挖掘，社交网络分析

教育背景: 

  • 2012.9-2016.5，香港浸会大学数学统计系，博士
  • 2008.9-2012.8，jbo竞博电竞官方网站数学与应用数学系，本科

工作经历: 

  • 2021.01 至今，jbo竞博电竞官方网站，副教授
  • 2016.8-2020.12，jbo竞博电竞官方网站，副研究员

获奖及荣誉: 

  • 广东省计算机学会科技进步二等奖
  • 广东省高校（本科）青年教师教学大赛二等奖
  • 广东省高校教师教学创新大赛优秀奖
  • jbo竞博电竞官方网站一流本科课程（线下）
  • jbo竞博电竞官方网站第十二届教师教学竞赛创新赛道一等奖
  • jbo竞博电竞官方网站第十一届教师教学竞赛教学赛道工科组一等奖
  • 2024 全球前2%顶尖科学家榜单（ World's Top 2% Scientists）
  • 2022 IEEE Computer Society Best Paper Award Winners （全球18篇）
  • 2024年度蚂蚁隐语优秀产学合作奖
  • 2020年度CCF-腾讯犀牛鸟科研基金优秀奖

科研项目: 

  • 1.  2023 国家重点研发计划项目，基于区块链的大规模分布式可信智能计算关键技术及应用，执行中，子课题负责人
  • 2.  2022 **总体性能创新研究开放基金， 基于区块链的联邦学习技术研究，已结题，项目负责人
  • 3.  2021 国家自然科学基金面上项目, 基于图增强的张量化图神经网络架构研究，执行中，项目负责人
  • 4.  2020 国家重点研发计划项目课题，基于***智能协同技术研究，已结题，课题负责人
  • 5.  2019 国家自然科学青年科学基金，正则化联合矩阵张量分解模型及其在多视角聚类中应用，已结题，项目负责人
  • 6.  2019 广东省自然科学基金面上项目，基于关联化张量分解的知识图谱补全方法研究，已结题，项目负责人
  • 7.  2018 广东省科技创新战略专项，基于张量耦合分解的多源数据融合模型及高性能算法研究，已结题，项目负责人
  • 8.  2023 广州市基础与应用基础研究专项，面向图神经网络的鲁棒性框架研究，执行中，项目负责人
  • 9.  2023 传音控股公司横向课题，联邦**画像行为分析，已结题，项目负责人
  • 10.  2021 腾讯微信犀牛鸟专项基金，金融反欺诈领域的大规模图计算研究，已结题，项目负责人
  • 11.  2019 CCF-腾讯犀牛鸟科研基金，基于区块链的安全联邦学习方案研究，已结题，项目负责人 （2020年度结题优秀奖）
  • 12.  2020 网易游戏（广州）有限公司横向课题，基于**场景的**网络推荐算法研究，已结题，项目负责人
  • 13.  2019 腾讯科技（深圳）有限公司横向课题，基于**系统用户行为特征的负反馈数据分析，已结题，项目负责人
  • 14.  2018 CCF信息系统开放课题，基于集成学习的**评估模型研究，已结题，项目负责人
  • 15.  2023 jbo竞博电竞官方网站高校基本科研业务费培育重点项目，面向复杂异构环境的可信联邦学习机制与应用研究，已结题，项目负责人

主要学术兼职: 

  • Software Impacts (Elsevier期刊) 副主编
  • IEEE Transactions on Pattern Analysis and Machine Intelligence  审稿人
  • IEEE Transactions on Image Processing  审稿人
  • IEEE Transactions on Signal Processing  审稿人
  • IEEE Transactions on Computational Biology and Bioinformatics  审稿人
  • IEEE Transactions on Neural Networks and Learning Systems  审稿人
  • IEEE Transactions on Vehicular Technology  审稿人
  • IEEE Transactions on Knowledge and Data Engineering  审稿人
  • IEEE Transactions on Industrial Informatics  审稿人
  • IEEE Internet of Things 审稿人
  • IEEE Journal of Biomedical and Health Informatics  审稿人
  • Journal of Scientific Computing  审稿人
  • Neurocomputing  审稿人
  • International Joint Conference on Artificial Intelligence (IJCAI) 2018 2020 2021 （高级）程序委员会委员
  • European Conference on Artificial Intelligence (ECAI) 2018  程序委员会委员
  • AAAI Conference on Artificial Intelligence 2020 2021  程序委员会委员
  • International Conference on Computational Systems Biology (ISB) 2018 程序委员会委员

教授课程: 

  • 2022/2023年本科生课程：人工智能 (课程主页：https://easyhpc.net/course/143) 
  • 2022/2023年本科生课程：人工智能实验 (课程主页：https://easyhpc.net/course/143) 
  • 2021/2022年本科生课程：代数与解析几何
  • 2023年本科课程：解析几何
  • 2021年本科生课程：软工实训课程
  • 2023年研究生课程：矩阵分析

代表性论著: 

近年期刊、会议论文摘选：

Journals: 

  1. [J] L. Fu, S. Huang, Y. Li, C. Chen*, C. Zhang, Z. Zheng, "Learning the Global Prompt in the Low-rank Tensor Space for Heterogeneous Federated Learning", Neural Networks. 2025 (中科院一区, CCF-B类)

  2. [J] Y. Liu, L. Shu, C. Chen*, Z. Zheng, "Fine-grained Semantics Enhanced Contrastive Learning for Graphs", IEEE Transactions on Knowledge and Data Engineering. 2024 (CCF-A类)

  3. [J] S. Zhao, T. Liao, L. Fu, C. Chen*, J. Bian, Z. Zheng, "Data-Free Knowledge Distillation via Generator-Free Data Generation for Non-IID Federated Learning", Neural Networks. 2024 (中科院一区, CCF-B类)

  4. [J] S. Huang, L. Fu, Y. Li, C. Chen*, Z. Zheng, H. Dai, "A Cross-client Coordinator in Federated Learning Framework for Conquering Heterogeneity", IEEE Transactions on Neural Networks and Learning Systems. 2024 (中科院一区, CCF-B类)

  5. [J] L. Zhang, L. Fu, C. Liu, Z. Yang，J. Yang, Z. Zheng, C. Chen*, "Towards Few-Label Vertical Federated Learning", ACM Transactions on Knowledge Discovery from Data. 2024 (CCF-B类)

  6. [J] Y. Hu, T. Liao, J. Chen, C. Chen*, J. Bian, Z. Zheng, "Migrate Demographic Group For Fair Graph Neural Networks", Neural Networks. 2024 (中科院一区, CCF-B类)

  7. [J] T. Liao, J. Yang, C. Chen*, Z. Zheng, "A Neural Tensor Decomposition Model for High-Order Sparse Data Recovery", Information Sciences. 2023 (中科院一区, CCF-B类)

  8. [J] J. Lai, T. Wang, C. Chen*, Z. Zheng, "Information-Aware Multi-View Outlier Detection", ACM Transactions on Knowledge Discovery from Data. 2023 (CCF-B类)

  9. [J] C. Chen, Z. Xu, W. Hu, Z. Zheng, J. Zhang, "FedGL: Federated Graph Learning Framework with Global Self-Supervision", Information Sciences. 2023 (中科院一区, CCF-B类)

  10. [J] C. Mai, Y. Chang,  C. Chen*, Z. Zheng, "Enhanced Scalable Graph Neural Network via Knowledge Distillation", IEEE Transactions on Neural Networks and Learning Systems. 2023 (中科院一区, CCF-B类)

  11. [J] T. Zhang, C. Mai, Y. Chang,  C. Chen*, L. Shu, Z. Zheng, "FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs", ACM Transactions on Knowledge Discovery from Data. 2023 (CCF-B类)

  12. [J] T. Liao, Z. Wu,  C. Chen*, Z. Zheng, X. Zhang, "Tensor Completion via Convolutional Sparse Coding with Small Samples-Based Training", Pattern Recognition. 2023 (中科院一区, CCF-B类)

  13. [J] X. Li, S. Zhao, C. Chen*, Z. Zheng, "Heterogeneity-aware fair federated learning", Information Sciences. 2023 (中科院一区)

  14. [J] J. Yang, C. Chen*, H. Dai*, M. Ding, Z. Wu, Z. Zheng, "Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-rank Representation", IEEE Transactions on Neural Networks and Learning Systems. 2022 (中科院一区）

  15. [J] C. Che, X. Li. X. He,  C. Chen*, Z. Zheng, "A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee", IEEE Transactions on Parallel and Distributed Systems. 2022 (CCF-A类)

  16. [J] J. Yang, C. Chen*, H. Dai*, L. Fu, Z. Zheng, "A Structure Noise-Aware Tensor Dictionary Learning Method for High-dimensional Data Clustering ", Information Sciences. 2022 (中科院一区)

  17. [J] X. Li, S. Li, Y. Li, Y. Zhou, C. Chen*, Z. Zheng, "A Personalized Federated Tensor Factorization Framework for Distributed IoT Services QoS Prediction from Heterogeneous Data",  IEEE Internet of Things Journal. 2022 (中科院一区）

  18. [J] X. Li, Y. Li, J. Wang, C. Chen*, Z. Zheng, "Decentralized Federated Meta-Learning Framework for Few-Shot Multi-Task Learning", International Journal of Intelligent Systems. 2022 (中科院二区）

  19. [J] J. Wang, C. Chen*, Z. Zheng, L. Chen, Y. Zhou, "Predicting high-dimensional time series data with spatial, temporal and global information", Information Sciences. 2022 (中科院一区）

  20. [J] Y. Chang, L. Shu, E. Du, C. Chen*, Z. Zhang, Z. Zheng, L. Sun, S. Shen, "GraphRR: A Multiplex Graph based Reciprocal Friend Recommender System with Applications on Online Gaming Service", Knowledge-Based Systems. 2022 (中科院一区）

  21. [J] L. Fu, J. Yang, C. Chen*, C. Zhang, "Low-rank Tensor Approximation with Local Structure for Multi-view Intrinsic Subspace Clustering", Information Sciences. 2022 (中科院一区）

  22. [J] Y. Wang, C. Chen*, J. Lai, L. Fu, Y. Zhou, Z. Zheng, "A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection", ACM Transactions on Knowledge Discovery from Data. 2022 (CCF-B类)

  23. [J] Y. Lai, C. Chen*, Z. Zheng, Y. Zhang, "Block Term Decomposition with Distinct Time Granularities for Temporal Knowledge Graph Completion", Expert Systems With Applications. 2022 (中科院一区）

  24. [J] X. He, Z. Zheng, C. Chen, Y. Zhou, C. Luo, Q. Lin, "Distributed Evolution Strategies for Black-box Stochastic Optimization". IEEE Transactions on Parallel and Distributed Systems. 2022 (CCF-A类)

  25. [J] J. Wu*, Q. Yuan, D. Lin, W. You, W. Chen, C. Chen* and Z. Zheng, "Who are the phishers? Phishing scam detection on Ethereum via network embedding", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022（中科院一区, ESI Highly Cited）

  26. [J] Y. Chang, C. Chen*, W. Hu, Z. Zheng, X. Zhou, S. Chen, "Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning", Knowledge-Based Systems. 2021 (中科院一区）

  27. [J] Z. Zhang, C. Chen*, Y. Chang, W. Hu, X. Xing, Y. Zhou, Z. Zheng, "SHNE: Semantics and Homophily Preserving Network Embedding",  IEEE Transactions on Neural Networks and Learning Systems. 2021 (中科院一区）

  28. [J] Z. Zhang, C. Chen*, Y. Chang, W. Hu, Z. Zheng, Y. Zhou, L. Sun, "HIN2Grid: A Disentangled CNN-based Framework for Heterogeneous Network Learning", Expert Systems With Applications. 2021 (中科院一区）

  29. [J] L. Shu, C. Chen*, X. Xing, X. Liao, Z. Zheng, "AHNA: Adaptive Representation Learning for Attributed Heterogeneous Networks", International Journal of Intelligent Systems. 2021 (中科院二区）

  30. [J] X. Li, Y. Li, S. Li, Y. Zhou, C. Chen*, Z. Zheng, "A Unified Federated DNNs Framework for Heterogeneous Mobile Device", IEEE Internet of Things Journal. 2021 (中科院一区）

  31. [J] X. He, Z. Zheng, Y. Zhou, C. Chen, "QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning", SIAM Journal on Optimization. 2021 (中科院二区）

  32. [J] W. Hu, C. Chen*, F. Ye, Z. Zheng, Y. Du, "Learning Deep Discriminative Representations with Pseudo Supervision for Image Clustering", Information Sciences. 2021 (中科院一区）

  33. [J] C. Chen, Z. Wu, Z. Chen, Z. Zheng*, X. Zhang*, "Auto-weighted Robust Low-Rank Tensor Completion via Tensor-Train", Information Sciences. 2021 (中科院一区）

  34. [J] C. Chen, Y. Wang, W. Hu, Z. Zheng, "Robust Multi-View K-Means Clustering with Outlier Removal".​Knowledge-based Systems. 2020 （中科院一区）

  35. [J] Y. Li, C. Chen*, N. Liu, H. Huang, Z. Zheng, Q. Yan, "A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus". IEEE Network Magzine 2020（中科院一区, 入选期刊Popular Paper-年度引用前三，ESI Highly Cited）

  36. [J] J. Huang, C. Chen*, F. Ye, W. Hu and Z. Zheng, "Nonuniform Hyper-Network Embedding with Dual Mechanism", ACM Transactions on Information Systems. 2020（CCF-A类，中科院二区）

  37. [J] C. Chen, Y. Li, H. Qian, Z. Zheng*, Y. Hu, "Multi-view semi-supervised learning for classification on dynamic networks", Knowledge-based Systems. 2020（中科院一区）

  38. [J] C. Chen, R. Li, L. Shu, Z. He, J. Wang, C. Zhang, H. Ma, K. Aihara and L. Chen*, "Predicting future dynamics from short-term time series by anticipated learning machine", National Science Review. 2020（中科院一区，IF=23.178）

  39. [J] C. Chen, H. Qian, W. Chen, Z. Zheng and H. Zhu, "Auto-weighted Multi-view Constrained Spectral Clustering". Neurocomputing 2019. （中科院二区）

  40. [J] F. Ye, C. Chen*, Z. Wen, Z. Zheng, W. Chen and Y. Zhou, "Homophily Preserving Community Detection". IEEE Transactions on Neural Networks and Learning Systems. 2019（中科院一区）

  41. [J] P. Li, C. Chen*, W. Zheng, Y. Deng, F. Ye, and Z. Zheng, "STR: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings". IEEE Transactions on Audio, Speech and Language Processing. 2019（中科院一区）

  42. [J] C. Chen, J. Xin, Y. Wang, L. Chen, and M. Ng, "A Semi-supervised Classification Approach for Multidomain Networks with Domain Selection". IEEE Transactions on Neural Networks and Learning Systems. 2018（中科院一区）

Conferences:

  1. [C] J. Chen, B. Deng, Z. Wang, C. Chen*, Z. Zheng, "Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective", ICLR 2025. 

  2. [C] L. Fu, S. Huang, Y. Lai, T. Liao, C. Zhang, C. Chen*, "Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data", AAAI 2025. (CCF-A类, Oral) 

  3. [C] B. Deng, T. Wang, L. Fu, S. Huang, C. Chen*, T. Zhang*, "THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings", AAAI 2025. (CCF-A类) 

  4. [C] T. Liao, J. Chen, L. Fu, Z. Wang, Z. Zheng, C. Chen*, "A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm", NeurIPS 2024. (CCF-A类) 

  5. [C] J. Chen, T. Liao, C. Chen*, Z. Zheng, "Improving Message-Passing GNNs by Asynchronous Aggregation", CIKM 2024.  (CCF-B类) 

  6. [C] B. Deng, J. Chen, Y. Hu, Z. Xu, C. Chen*, T. Zhang*, "PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks", CIKM 2024.  (CCF-B类) 

  7. [C] Y. Lai. L. Fu, T. Liao, C. Chen*, Z. Zheng, "FedSeProto: Learning Semantic Prototype in Federated Learning", ECAI 2024.  (CCF-B类)

  8. [C] Y. Li, J. Chen, C. Chen*, L. Yang, Z. Zheng, "Contrastive Deep Nonnegative Matrix Factorization for Community Detection". ICASSP 2024.  (CCF-B类)

  9. [C] J. Lai, T. Wang, C. Chen*, Y. Li, Z. Zheng, "VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack". CIKM 2023.  (CCF-B类)

  10. [C] L. Zhang, L. Fu,  T. Wang, C. Chen*, C. Zhang, "Mutual Information-Driven Multi-View Clustering". CIKM 2023.  (CCF-B类)

  11. [C] J. Yang, C. Chen*, H. Dai, M. Ding, L. Fu, Z. Zheng, "Hierarchical Representation for Multi-view Clustering: from Intra-sample to Intra-view to Inter-view". CIKM 2022.  (CCF-B类)

  12. [C] Z. Wu, L. Shu, Z. Xu, Y. Chang, C. Chen*, Z. Zheng, "Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation". SIGKDD 2022. （CCF-A类）

  13. [C] D. Yang, C. Chen*, Y. Zheng, Z. Zheng, and S. Liao, "Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning". CIKM 2021.  (CCF-B类)

  14. [C] L. Shu, E. Du, Y. Chang, C. Chen*, Z. Zheng, X. Xing, S. Shen, "SGCL: Contrastive Representation Learning for Signed Graphs". CIKM 2021.  (CCF-B类)

  15. [C] F. Ye, Z. Lin, C. Chen, Z. Zheng, and H. Huang, "Outlier-Resilient Web Service QoS Prediction". WWW 2021. (CCF-A类)

  16. [C] Z. Chen, C. Chen*, Z. Zheng, Z. Zhang, and Q. Zhou, "Variational Graph Embedding and Clustering with Laplacian Eigenmaps". IJCAI 2019. （CCF-A类）

  17. [C] W. Zheng, Z. Zheng, H. Wan*, and C. Chen*, "Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification". IJCAI 2019. （CCF-A类）

  18. [C] F. Ye, C. Chen*, Z. Zheng, R. Li and J. Yu, "Discrete Overlapping Community Detection with Pseudo Supervision". ICDM 2019. （CCF-B类）

  19. [C] Z. Chen, C. Chen*, Z. Zheng and Y. Zhu, "Tensor Decomposition for Multilayer Networks Clustering". AAAI 2019（CCF-A类）

  20. [C] W. Chen, J. Wu, Z. Zheng*, C. Chen*, and Y. Zhou, "Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network".​​ INFOCOM 2019（CCF-A类）

  21. [C] Z. Chen, T. Cai, C. Chen*, Z. Zheng and G. Ling,"SINE: Side Information Network Embedding". DASFAA 2019. （CCF-B类）

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