The consensus of nonlinear multi-agent system with switching topologies and communication failure. - Tao Ren 002; Yi-Fan Wang 014; Miaomiao Liu 006; Cai-juan Li; Yi-Yang Liu (J. Intell. Fuzzy Syst., 2016)

Prediction of damage results of complex network under grey information attack. - Tao Ren 002; Miaomiao Liu 006; Yan-Jie Xu; Yi-Fan Wang 014 (J. Intell. Fuzzy Syst., 2018)

Session-Based Social Recommendation via Dynamic Graph Attention Networks. - Weiping Song; Zhiping Xiao 001; Yifan Wang 014; Laurent Charlin; Ming Zhang 004; Jian Tang 005 (WSDM, 2019)

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. - Yifan Wang 014; Suyao Tang; Yuntong Lei; Weiping Song; Sheng Wang 012; Ming Zhang 004 (CIKM, 2020)

STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention. - Ming Zhang 004; Shixing Liu; Yifan Wang 014 (EDUCON, 2020)

DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. - Yifan Wang 014; Yiping Song; Shuai Li; Chaoran Cheng; Wei Ju 001; Ming Zhang 004; Sheng Wang 012 (AAAI, 2022)

Deep Graph Mutual Learning for Cross-domain Recommendation. - Yifan Wang 014; Yongkang Li; Shuai Li; Weiping Song; Jiangke Fan; Shan Gao; Ling Ma; Bing Cheng; Xunliang Cai; Sheng Wang 012; Ming Zhang 004 (DASFAA (2), 2022)

Kernel-based Substructure Exploration for Next POI Recommendation. - Wei Ju 001; Yifang Qin; Ziyue Qiao; Xiao Luo 001; Yifan Wang 014; Yanjie Fu; Ming Zhang 004 (ICDM, 2022)

TGNN: A Joint Semi-supervised Framework for Graph-level Classification. - Wei Ju 001; Xiao Luo 001; Meng Qu; Yifan Wang 014; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (IJCAI, 2022)

HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors. - Yifan Wang 014; Jianhao Shen; Yiping Song; Sheng Wang 012; Ming Zhang 004 (IJCNN, 2022)

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. - Yifan Wang 014; Yifang Qin; Yu Han; Mingyang Yin; Jingren Zhou 001; Hongxia Yang; Ming Zhang 004 (ECML/PKDD (1), 2022)

DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction. - Yifan Wang 014; Yifang Qin; Fang Sun; Bo Zhang; Xuyang Hou; Ke Hu; Jia Cheng; Jun Lei; Ming Zhang 004 (SIGIR, 2022)

DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. - Yifang Qin; Yifan Wang 014; Fang Sun; Wei Ju 001; Xuyang Hou; Zhe Wang 060; Jia Cheng; Jun Lei; Ming Zhang 004 (WSDM, 2023)

Unsupervised graph-level representation learning with hierarchical contrasts. - Wei Ju 001; Yiyang Gu; Xiao Luo 001; Yifan Wang 014; Haochen Yuan; Huasong Zhong; Ming Zhang 004 (Neural Networks, 2023)

Hypergraph-enhanced Dual Semi-supervised Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Ming Zhang 004 (ICML, 2024)

Rank and Align: Towards Effective Source-free Graph Domain Adaptation. - Junyu Luo 002; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Jingyang Yuan; Wei Ju 001; Langechuan Liu; Ming Zhang 004 (IJCAI, 2024)

A Survey of Data-Efficient Graph Learning. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Qingqing Long; Junyu Luo 002; Zhiping Xiao 001; Ming Zhang 004 (IJCAI, 2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Zhengyang Mao; Hourun Li; Yiyang Gu; Yifang Qin; Nan Yin; Senzhang Wang; Xinwang Liu 002; Xiao Luo 001; et al. (CoRR, 2024)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. - Hourun Li; Yifan Wang 014; Zhiping Xiao 001; Jia Yang; Changling Zhou; Ming Zhang 004; Wei Ju 001 (AAAI, 2025)

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. - Junyu Luo 002; Bohan Wu; Xiao Luo 001; Zhiping Xiao 001; Yiqiao Jin; Rong-Cheng Tu; Nan Yin; Yifan Wang 014; Jingyang Yuan; Wei Ju 001; Ming Zhang 004 (ACL (1), 2025)

GMR-Rec: Graph mutual regularization learning for multi-domain recommendation. - Yifan Wang 014; Yangzi Yang; Shuai Li; Yutao Xie; Zhiping Xiao 001; Ming Zhang 004; Wei Ju 001 (Inf. Sci., 2025)

Learning Knowledge-diverse Experts for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Qingqing Long; Nan Yin; Xinwang Liu 002; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2025)

DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning. - Yifan Wang 014; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001; Ming Zhang 004; Wei Ju 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)