| 2026 | AAAI | FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction. | Qing Hu, Tianchi Liao, Shuyi Wu, Lei Yang, Chuan Chen |
| 2025 | AAAI | THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings. | Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang |
| 2025 | AAAI | Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. | Lele Fu, Sheng Huang, Yanyi Lai, Tianchi Liao, Chuanfu Zhang, Chuan Chen |
| 2025 | CIKM | PRECISE: Pre-training and Fine-tuning Sequential Recommenders with Collaborative and Semantic Information. | Chonggang Song, Chunxu Shen, Hao Gu, Yaoming Wu, Lingling Yi, Jie Wen, Chuan Chen |
| 2025 | CIKM | Personalized Multi Modal Alignment Encoding for CTR-Recommendation in WeChat. | Jiawei Zheng, Hao Gu, Lingling Yi, Jie Wen, Chuan Chen |
| 2025 | ESORICS | High-Efficiency Fuzzing Technique Using Hooked I/O System Calls for Targeted Input Analysis. | Wenju Sun, Xi Xiao, Qiben Yan, Guangwu Hu, Qing Li, Chuan Chen |
| 2025 | ICLR | Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective. | Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng |
| 2025 | ICML | Towards Understanding Parametric Generalized Category Discovery on Graphs. | Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen |
| 2025 | ICML | Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective. | Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen |
| 2025 | ICML | Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. | Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen |
| 2025 | IJCAI | Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering. | Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen |
| 2025 | IJCAI | FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data. | Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen |
| 2025 | IJCAI | Federated Domain Generalization with Decision Insight Matrix. | Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng |
| 2024 | CIKM | Improving Message-Passing GNNs by Asynchronous Aggregation. | Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng |
| 2024 | CIKM | PROSPECT: Learn MLPs on Graphs Robust against Adversarial Structure Attacks. | Bowen Deng, Jialong Chen, Yanming Hu, Zhiyong Xu, Chuan Chen, Tao Zhang |
| 2024 | ECAI | FedSeProto: Learning Semantic Prototype in Federated Learning. | Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng |
| 2024 | ICASSP | Contrastive Deep Nonnegative Matrix Factorization For Community Detection. | Yuecheng Li, Jialong Chen, Chuan Chen, Lei Yang, Zibin Zheng |
| 2024 | ICDE | PlatoD2GL: An Efficient Dynamic Deep Graph Learning System for Graph Neural Network Training on Billion-Scale Graphs. | Xing Huang, Dandan Lin, Weiyi Huang, Shijie Sun, Jie Wen, Chuan Chen |
| 2024 | IJCNN | Applying Logical Rules to Reinforcement Learning for Interpretable Knowledge Graph Reasoning. | Youming Liu, Yujing Lai, Chuan Chen |
| 2024 | IJCNN | SGCA: Signed Graph Contrastive Learning with Adaptive Augmentation. | Yijie Qi, Erxin Du, Lin Shu, Chuan Chen |
| 2023 | CIKM | VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack. | Jinrong Lai, Tong Wang, Chuan Chen, Yihao Li, Zibin Zheng |
| 2023 | CIKM | Mutual Information-Driven Multi-View Clustering. | Lei Zhang, Lele Fu, Tong Wang, Chuan Chen, Chuanfu Zhang |
| 2023 | CIKM | Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat. | Jiawei Zheng, Hao Gu, Chonggang Song, Dandan Lin, Lingling Yi, Chuan Chen |
| 2022 | CIKM | PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. | Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen |
| 2022 | CIKM | Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. | Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng |
| 2022 | IPEC | Information System Establishment of Average Fuel Consumption and Electric Vehicle in China by Big Data Technology. | Guochun Qu, Rujie Yu, Chunjia Ran, Shaohui Liu, Dongchang Zhao, Huanhuan Ren, Chuan Chen |
| 2022 | KDD | Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation. | Zhebin Wu, Lin Shu, Ziyue Xu, Yaomin Chang, Chuan Chen, Zibin Zheng |
| 2021 | CIKM | SGCL: Contrastive Representation Learning for Signed Graphs. | Lin Shu, Erxin Du, Yaomin Chang, Chuan Chen, Zibin Zheng, Xingxing Xing, Shaofeng Shen |
| 2021 | CIKM | Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. | Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng, Shih-wei Liao |
| 2021 | ICIG | Small Sample Identification for Specific Emitter Based on Adversarial Embedded Networks. | Wei Zhang, Li Jiang, Congzhang Ding, Huaizong Shao, Jingran Lin, Chuan Chen |
| 2021 | WWW | Outlier-Resilient Web Service QoS Prediction. | Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang |
| 2020 | ECAI | Directional Adversarial Training for Recommender Systems. | Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng |
| 2020 | ICDE | LoCEC: Local Community-based Edge Classification in Large Online Social Networks. | Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen |
| 2019 | AAAI | Tensor Decomposition for Multilayer Networks Clustering. | Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu |
| 2019 | DASFAA | SINE: Side Information Network Embedding. | Zitai Chen, Tongzhao Cai, Chuan Chen, Zibin Zheng, Guohui Ling |
| 2019 | DASFAA | Hyper2vec: Biased Random Walk for Hyper-network Embedding. | Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui Ling |
| 2019 | DASFAA | Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning. | Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling |
| 2019 | DASFAA | A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation. | Yuzheng Li, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling |
| 2019 | ICDM | Discrete Overlapping Community Detection with Pseudo Supervision. | Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu |
| 2019 | IJCAI | Variational Graph Embedding and Clustering with Laplacian Eigenmaps. | Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou |
| 2019 | IJCAI | Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification. | Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen |
| 2019 | INFOCOM | Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network. | Weili Chen, Jun Wu, Zibin Zheng, Chuan Chen, Yuren Zhou |
| 2018 | CIKM | Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection. | Fanghua Ye, Chuan Chen, Zibin Zheng |
| 2018 | ICDM | Adaptive Affinity Learning for Accurate Community Detection. | Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng |
| 2018 | ICML | Learning Semantic Representations for Unsupervised Domain Adaptation. | Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen |
| 2018 | ICSE | Group preference based API recommendation via heterogeneous information network. | Fenfang Xie, Liang Chen, Dongding Lin, Chuan Chen, Zibin Zheng, Xiaola Lin |
| 2018 | ICSOC | An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks. | Fanghua Ye, Chuan Chen, Jie Zhang, Jiajing Wu, Zibin Zheng |
| 2017 | ASSETS | Recognizing Clothing Colors and Visual Textures Using a Finger-Mounted Camera: An Initial Investigation. | Alexander J. Medeiros, Lee Stearns, Leah Findlater, Chuan Chen, Jon E. Froehlich |
| 2017 | ICSOC | An Embedding Based Factorization Machine Approach for Web Service QoS Prediction. | Yaoming Wu, Fenfang Xie, Liang Chen, Chuan Chen, Zibin Zheng |
| 2017 | ICSOC | Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach. | Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, Yuren Zhou |
| 2007 | ICNC | An Improved Ant-based Classifier for Intrusion Detection. | Junbing He, Dongyang Long, Chuan Chen |
| 1999 | IJCNN | Direction-basis-function neural networks. | Shoujue Wang, Jingpu Shi, Chuan Chen, Yujian Li |
| 1998 | ICONIP | Analysis of Orthogonal Memory Patterns. | Yujian Li, Xiangdong Wang, Chuan Chen |