Publications

(* Equal Contribution) 2024 ====

1. DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning [Paper]
   Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang and Wei Ju
   IEEE Transactions on Neural Networks and Learning Systems
   TNNLS 2024, CCF-B, JCR Q1, IF=14.255

2. Graph-enhanced Prompt Learning for Personalized Review Generation [Paper]
   Xiaoru Qu, Yifan Wang, Zhao Li, Jun Gao
   Data Science and Engineering
   DSE 2024, CCF-C, JCR Q2, IF=4.2, Corresponding Author

3. DEER: Distribution Divergence-based Graph Contrast for Partial Label Learning on Graphs [Paper]
   Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo, Ming Zhang
   IEEE Transactions on Multimedia
   TMM 2024, CCF-B, JCR Q1, IF=7.3

4. Hypergraph-enhanced Dual Semi-supervised Graph Classification [Paper]
   Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, and Ming Zhang
   International Conference on Machine Learning
   ICML 2024, CCF-A

5. A Survey of Data-Efficient Graph Learning [Paper]
   Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, and Ming Zhang
   International Joint Conference on Artificial Intelligence
   IJCAI 2024, CCF-A

6. Rank and Align: Towards effective Source-free Graph Domain Adaptation [Paper]
   Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, and Ming Zhang
   International Joint Conference on Artificial Intelligence
   IJCAI 2024, CCF-A

7. A Comprehensive Survey on Deep Graph Representation Learning [Paper]
   Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, and Ming Zhang
   Neural Networks 2024, CCF-B, JCR Q1, IF=7.8

2023

1. Unsupervised Graph-level Representation Learning with Hierarchical Contrasts [Paper]
   Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, and Ming Zhang.
   Neural Networks 2023, CCF-B, JCR Q1, IF=7.8

2. DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation [Paper]
   Yifang Qin^*, Yifan Wang^*, Fang Sun^*, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, and Ming Zhang
   ACM International Conference on Web Search and Data Mining
   WSDM 2023, CCF-B

2022

1. Kernel-based Substructure Exploration for Next POI Recommendation [Paper][Code]
   Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, and Ming Zhang
   IEEE International Conference on Data Mining
   ICDM 2022, CCF-B, 🏆 Best Paper Finalist

2. AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation
   Yifan Wang^*, Yifang Qin^*, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang and Ming Zhang
   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
   ECML-PKDD 2022, CCF-B

3. DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction
   Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei and Ming Zhang
   International ACM SIGIR Conference on Research and Development in Information Retrieval
   SIGIR 2022, CCF-A

4. HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors
   Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang
   International Joint Conference on Neural Networks
   IJCNN 2022, CCF-C

5. Deep Graph Mutual Learning for Cross-domain Recommendation
   Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang and Ming Zhang
   International Conference on Database Systems for Advanced Applications
   DASFAA 2022, CCF-B

6. TGNN: A Joint Semi-supervised Framework for Graph-level Classification
   Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, and Ming Zhang
   International Joint Conference on Artificial Intelligence
   IJCAI 2022, CCF-A

7. DisenCite: Graph-based Disentangled Representation Learning for Context-specific Citation Generation
   Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, and Sheng Wang
   AAAI Conference on Artificial Intelligence
   AAAI 2022, CCF-A, Oral Representation

2020

1. DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
   Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang and Ming Zhang
   ACM International Conference on Information & Knowledge Management
   CIKM 2020, CCF-B

2. Session-based Thread Recommendation for Online Course Forum with Self-Attention
   Ming Zhang, Shixing Liu and Yifan Wang
   IEEE Global Engineering Education Conference
   EDUCON 2020, EI

2019

1. Session-based Social Recommendation via Dynamic Graph Attention Networks
   Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang and Jian Tang
   ACM International Conference on Web Search and Data Mining
   WSDM 2019, CCF-B

Before 2018

1. Prediction of Damage Results of Complex Network under Grey Information Attack
   Tao Ren, Miaomiao Liu, Yanjie Xu and Yifan Wang
   Journal of Intelligent & Fuzzy Systems 2018, JCR Q2

2. Analysis of Robustness of Urban Bus Network
   Tao Ren, Yifan Wang, Miaomiao Liu and Yanjie Xu
   Chinese Physics B 2016, JCR Q2, Student First Author

3. The Guitar Chord-Generating Algorithm Based on Complex Network
   Tao Ren, Yifan Wang, Dan Du, Miaomiao Liu, Awais Siddiqi
   Physica A: Statistical Mechanics and its Applications 2016, JCR Q2, Student First Author

4. The Consensus of Nonlinear Multi-agent System with Switching Topologies and Communication Failure
   Tao Ren, Yifan Wang, Miaomiao Liu, Caijuan Li, Yiyang Liu
   Journal of Intelligent & Fuzzy Systems 2016, JCR Q2, Student First Author

5. Fuzzy-Information-Based Robustness of Interconnected Networks Against Attacks and Failures
   Qian Zhu, Zhiliang Zhu, Yifan Wang, Tao Ren
   Physica A: Statistical Mechanics and its Applications 2016, JCR Q2

6. 灰色信息攻击下相依网络的鲁棒性
   朱潜, 王一帆, 朱志良, 任涛
   东北大学学报(自然科学版) 2016, EI, 学生一作