Yifan Wang 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. His work has received citations in total, with a cumulative journal impact factor exceeding 100.

Email: yifanwang@uibe.edu.cn, yifanwang@pku.edu.cn, 长期招收solid background and self-motivated的研究生与本科生

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
• Data-Efficient/Data-Centric Graph Learning
• LLM and its Applications
• Recommender Systems, Natural Language Processing (especially text generation)
• Bioinformatics, Drug Discovery
• Knowledge Graph, Knowledge Graph Reasoning

What’s New

• Seq. 2025: One paper have been accepted by NeurIPS 2025 !!
• Aug. 2025: One paper have been accepted by EMNLP 2025 !!
• Jul. 2025: One paper have been accepted by IEEE Transactions on Neural Networks and Learning Systems 2025 !!
• Jul. 2025: Three papers have been accepted by ACM MM 2025 !!
• Jun. 2025: Honored to be appointed as a committee member of the Youth Working Committee of the Chinese Information Processing Society (CIPS) !!
• May. 2025: One paper have been accepted by ACL 2025 !!
• May. 2025: One paper have been accepted by ICML 2025 !!
• Apr. 2025: One paper have been accepted by IJCAI 2025 !!
• Mar. 2025: One paper have been accepted by IEEE Transactions on Multimedia 2025 !!
• Feb. 2025: One paper have been accepted by Information Sciences 2025 !!
• Jan. 2025: One paper have been accepted by Information Processing and Management 2025 !!
• Dec. 2024: One paper have been accepted by AAAI 2025 !!
• Dec. 2024: One paper have been accepted by IEEE Transactions on Multimedia 2024 !!
• Nov. 2024: Honored to be appointed as a committee member of the Large Models and Generation (LMG) Committee of the Chinese Information Processing Society (CIPS) !!
• Nov. 2024: One paper have been accepted by ACM Transactions on Knowledge Discovery from Data 2024 !!
• Sep. 2024: Honored to be awared 2024 Outstanding Doctoral Dissertation Award of ACM SIGCSE !!
• Jul. 2024: One paper have been accepted by IEEE Transactions on Neural Networks and Learning Systems 2024 !!
• May. 2024: One paper have been accepted by Data Science and Engineering 2024 !!
• May. 2024: One paper have been accepted by IEEE Transactions on Multimedia 2024 !!
• May. 2024: One paper have been accepted by ICML 2024 !!
• Apr. 2024: Two papers have been accepted by IJCAI 2024 !!
• 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 !!
• Sep. 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: Honored to be awared 2021 Best Practices in Research Collaboration Award of Meituan !!
• 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 Survey on Efficient Large Language Model Training: From Data-centric Perspectives [Paper]
   Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang.
   Annual Meeting of the Association for Computational Linguistics
   ACL 2025, CCF-A

2. 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

3. 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

4. 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
   

5. Large Language Model Agent: A Survey on Methodology, Applications and Challenges [Paper]
   Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S Yu, Ming Zhang
   

6. Towards Graph Contrastive Learning: A Survey and Beyond [Paper]
   Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, and Ming Zhang
   

Publications [See All]

(* Equal Contribution, # Corresponding Author)

1. Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation [Paper]
   Xin Ma^*, Yifan Wang^*, Siyu Yi, Wei Ju, Junyu Luo, Yusheng Zhao, Xiao Luo, Jiancheng Lv
   Advances in Neural Information Processing Systems
   NeurIPS 2025, CCF-A, Co-first Author

2. LEAF: Large Language Diffusion Model for Time Series Forecasting [Paper]
   Yuhang Pei, Tao Ren, Yifan Wang^#, Zhipeng Sun, Wei Ju, Chong Chen, Xian-Sheng Hua, Xiao Luo
   Conference on Empirical Methods in Natural Language Processing
   EMNLP 2025 Findings, CCF-B, Corresponding Author

3. Cluster-Aware Few-Shot Molecular Property Prediction with Factor Disentanglement [Paper]
   Haodong Zhang, Tao Ren, Yifan Wang^#, Fanchun Meng, Wei Ju, Ying Tian
   IEEE Transactions on Neural Networks and Learning Systems
   TNNLS 2025, CCF-B, JCR Q1, IF=14.255, Corresponding Author

4. Deep Graph Clustering with Disentangled Representation Learning [Paper]
   Yifan Wang, Yuntai Ding, Yiyang Gu, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
   ACM Multimedia 2025
   ACM MM 2025, CCF-A

5. DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-distribution Generalization [Paper]
   Jiayi Zeng, Tao Ren, Changhu Wang, Yifan Wang^#, Wei Ju, Zhipeng Sun, Xiao Luo
   ACM Multimedia 2025
   ACM MM 2025, CCF-A, Corresponding Author

6. CODE: Towards Partial Label Graph Learning via Coupled Dual Separation [Paper]
   Yiyang Gu, Taian Guo, Hang Zhou, Zihao Chen, Zhiping Xiao, Yifang Qin, Xiao Luo, Wei Ju, Yifan Wang, Ming Zhang
   ACM Multimedia 2025
   ACM MM 2025, CCF-A

7. DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning [Paper]
   Yifan Wang^*, Hourun Li^*, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo
   International Conference on Machine Learning
   ICML 2025, CCF-A

8. PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment [Paper]
   Xin Ma, Yifan Wang^*, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang and Jiancheng Lv
   International Joint Conference on Artificial Intelligence
   IJCAI 2025, CCF-A, Co-first Author

9. Reversible Column Disentangled Augmentation Tricks for Graph Contrastive Learning [Paper]
   Yuntai Ding, Tao Ren, Yifan Wang^#, Chong Chen, Xian-Sheng Hua, Wei Ju
   IEEE Transactions on Multimedia
   TMM 2025, CCF-B, JCR Q1, IF=8.4, Corresponding Author

10. GMR-Rec: Graph mutual regularization learning for multi-domain recommendation [Paper]
    Yifan Wang, Yangzi Yang, Shuai Li, Yutao Xie, Zhiping Xiao, Ming Zhang, Wei Ju
    Information Sciences 2025, CCF-B, JCR Q1, IF=8.1

11. MHGC: Multi-scale hard sample mining for contrastive deep graph clustering [Paper]
    Tao Ren, Haodong Zhang, Yifan Wang, Wei Ju, Chengwu Liu, Fanchun Meng, Siyu Yi, Xiao Luo
    Information Processing and Management 2025, CCF-B, JCR Q1, IF=7.4, Corresponding Author

12. DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation [Paper]
    Hourun Li, Yifan Wang^*, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju
    AAAI Conference on Artificial Intelligence
    AAAI 2025, CCF-A, Co-first Author

13. Hypergraph Consistency Learning with Relational Distillation [Paper]
    Siyu Yi, Zhengyang Mao, Yifan Wang, Yiyang Gu, Zhiping Xiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
    IEEE Transactions on Multimedia
    TMM 2024, CCF-B, JCR Q1, IF=8.4

14. Learning Knowledge-diverse Experts for Long-tailed Graph Classification [Paper]
    Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
    ACM Transactions on Knowledge Discovery from Data
    TKDD 2024, CCF-B, JCR Q1, IF=4.0

15. 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

16. 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 Q1, IF=5.1, Corresponding Author

17. 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=8.4

18. 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

19. 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

20. A Comprehensive 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

21. 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

22. 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, Co-first Author

23. 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

24. 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

25. 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

26. 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

27. 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

28. 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

29. 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

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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

38. 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

• Sep. 2024: Outstanding Doctoral Dissertation Award (The First Place in ACM SIGCSE Chapter), ACM SIGCSE
• Nov. 2022: 🏆 Best Paper Finalist, ICDM
• Jan. 2022: Best Practices in Research Collaboration Award, Meituan
• 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 Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Big Data (TBD)
• 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)
• Expert Systems with Applications (ESWA)
• Frontiers of Computer Science (FCS)
• PLOS ONE
• Multimedia Systems

Conference:

• 2025: ICLR, NeurIPS, ICML, KDD, WWW, ACL ARR, AAAI, IJCAI, ACMMM
• 2024: ICLR, NeurIPS, ICML, KDD, WWW, ACL ARR, AAAI, IJCAI, ACMMM
• 2023: KDD, AAAI, IJCAI
• 2022: IJCNN