Yifan Wang (王一帆) is currently an assistant professor School of Information Technology & Management, University of International Business and Economics. Prior to that, he received his Ph.D. degree in Computer Science from Peking University in Jan. 2023, under the supervision of Prof. Ming Zhang. His current research interests lie primarily in the area of machine learning on graphs including graph representation learning and graph neural networks, and interdisciplinary applications such as recommender systems, drug discovery, natural language processing and knowledge graphs.

I am also open to various collaborations! If you are interested in me, contact me via yifanwang@uibe.edu.cn

Research interests

• Deep Learning, Data Mining
• Graph Representation Learning, Graph Neural Networks
• Disentangled Representation Learning
• Self-supervised/Contrastive Learning, Semi-supervised Learning on Graphs
• Recommender Systems, Natural Language Processing (especially text generation)
• Knowledge Graph, Knowledge Graph Reasoning

What’s New

• Feb. 2024: One paper has been accepted by Neural Networks 2024 !!
• Aug. 2023: I joined the School of Information Technology & Management, University of International Business and Economics as an assistant professor.
• Oct. 2022: One paper has been accepted by WSDM 2023 !!
• Nov. 2022: 🏆 We win the Best Paper Finalist in ICDM 2022 !!
• Nov. 2022: One paper has been accepted by Neural Networks 2023 !!
• Seq. 2022: One paper has been accepted by ICDM 2022 !!
• Jun. 2022: One paper has been accepted by ECML-PKDD 2022 !!
• Apr. 2022: One paper has been accepted by IJCNN 2022 !!
• Apr. 2022: One paper has been accepted by SIGIR 2022 !!
• Apr. 2022: One paper has been accepted by IJCAI 2022 !!
• Jan. 2022: One paper has been accepted by DASFAA 2022 !!
• Dec. 2021: One paper has been accepted by AAAI 2022 with oral presentation !!
• Oct. 2021. I joined DAMO Academy, Alibaba Group as a research intern, working on counterfactual data augmentation for recommendation, under the supervision of Hongxia Yang.
• Oct. 2020. I joined Meituan Dianping Group as a research intern, working on graph representation learning and cross-domain recommendation.
• Jul. 2020: One paper has been accepted by CIKM 2020 !!
• Oct. 2019: One paper has been accepted by WSDM 2019 !!

Survey

1. 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

2. A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges [Paper]
   Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S Yu, and Ming Zhang
   

3. A Survey of Data-Efficient Graph Learning [Paper]
   Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, and Ming Zhang
   

Publications

(* Equal Contribution)

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

Honors and Awards

• Nov. 2022: 🏆 Best Paper Finalist, ICDM
• Dec. 2021: Award for Scientific Research, Peking University
• Jan. 2017: Outstanding Graduate in Liaoning Province, Liaoning Province
• Oct. 2016: Merit student, Northeastern University
• Oct. 2016: National Scholarship, Northeastern University
• Oct. 2016: The First Price Scholarship, Northeastern University
• Oct. 2015: The First Price Scholarship, Northeastern University

Program Committee Member and Reviewer

Journal:

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Intelligent Vehicles (TIV)
• IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
• Information Fusion (IF)
• Information Processing and Management (IPM)
• Neural Networks (NN)
• Knowledge-Based Systems (KBS)
• Frontiers of Computer Science (FCS)
• PLOS ONE
• Multimedia Systems

Conference:

• 2024: ICML, KDD, WWW, ACL, AAAI, IJCAI, ACMMM
• 2023: KDD, AAAI, IJCAI
• 2022: IJCNN