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.

王一帆，对外经济贸易大学人工智能与数据科学学院助理教授，硕士生导师，中国中文信息学会大模型与生成专业委员会委员，中国人工智能学会青年工作委员会委员，中国中文信息学会青年工作委员会预备委员，于2023年在北京大学计算机学院获博士学位。研究兴趣主要集中于图神经网络、图机器学习，可信机器学习，时间序列模型，科学智能（AI4Science/Socialscience）, 大语言模型方面。近5年在机器学习、数据挖掘等领域发表/接收CCF-A/B类论文50余篇（第一/通讯作者30余篇），总引用次数为，总影响因子超100，相关研究成果发表在TPAMI、TKDE、TMM、TNNLS、ICLR、ICML、NeurIPS、ACL、KDD、WWW、AAAI、IJCAI等机器学习和数据挖掘的国际顶级期刊和会议上，荣获2022年国际顶级会议ICDM的最佳论文提名奖和2024年度ACM SIGCSE中国“优博奖”。

招收2027年秋季入学硕士研究生2名，欢迎有意向的同学投递简历至yifanwang@uibe.edu.cn

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

欢迎开展各类合作！如果您对我的研究感兴趣，请联系yifanwang@uibe.edu.cn

Email: yifanwang@uibe.edu.cn, yifanwang@pku.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

Area Chair / Senior Program Committee Member

• SPC:
  2026: IJCAI

What’s New

• May. 2026: Four papers have been accepted by ICML 2026 !!
• May. 2026: Two papers have been accepted by IJCAI 2026 !!
• May. 2026: One papers have been accepted by TKDE 2026 !!
• Jan. 2026: Three papers have been accepted by ICLR 2026 !!
• Jan. 2026: Three papers have been accepted by WWW 2026 !!
• Jan. 2026: Invited to serve as the Senior Program Committee (SPC) Member for IJCAI 2026!
• Nov. 2025: Two papers have been accepted by SIGKDD 2026 !!
• Nov. 2025: Two papers have been accepted by AAAI 2026 !!
• Nov. 2025: One paper has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence !!
• 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
   IEEE Transactions on Pattern Analysis and Machine Intelligence 2025, CCF-A, JCR Q1, IF=18.6

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. CLINIC: Towards High-quality Graph Out-Of-Distribution Detection [Paper]
   Yifan Wang, Haodong Zhang, Changhu Wang, Tao Ren, Dongjie Wang, Wei Ju, Chong Chen, Xian-Sheng Hua, Xiao Luo
   International Conference on Machine Learning
   ICML 2026, CCF-A

2. CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series Classification [Paper]
   Yuhang Pei, Fanchun Meng, Wenrui Wu, Tao Ren, Yifan Wang^#, Wei Ju, Chao Zheng, Xiao Luo
   International Conference on Machine Learning
   ICML 2026, CCF-A, Corresponding Author

3. CELL: A Causal Perspective for Fairness-aware Graph Adaptation [Paper]
   Hourun Li, Yifan Wang^#, Qinghua Ran, Junyu Luo, Jia Yang, Changling Zhou, Zhiping Xiao, Wei Ju, Xiao Luo, Ming Zhang
   International Conference on Machine Learning
   ICML 2026, CCF-A, Corresponding Author

4. 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

5. 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

6. HGOOD-D: Hyperbolic Hierarchical Exploration for Graph Out-of-Distribution Detection [Paper]
   Yuntai Ding, Tao Ren, Yiwei Fu, Yifan Wang^#, Haodong Zhang, Chong Chen, Wei Ju, Xiao Luo, Xian-Sheng Hua IEEE Transactions on Knowledge and Data Engineering
   TKDE 2026, CCF-A, JCR Q1, IF=10.4, Corresponding Author

7. KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection [Paper]
   Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
   The ACM Web Conference
   WWW 2026, CCF-A

8. DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation [Paper]
   Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang^#, Wei Ju, Huaizhi Tang, Junyu Luo, Zimo Wang, Ziyue Qiao, Xian-Sheng Hua, Xiao Luo
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining
   KDD 2026, CCF-A, Corresponding Author

9. Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning [Paper]
   Yuhang Pei, Fanchun Meng, Qinghua Ran, Tao Ren, Yifan Wang^#, Wei Ju, Zimo Wang, Xian-Sheng Hua, Xiao Luo
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining
   KDD 2026, CCF-A, Corresponding Author

10. 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

11. 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

12. 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-A, JCR Q1, IF=8.4, Corresponding Author

13. FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering [Paper]
    Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang^#, Siyu Yi, Fanchun Meng, Zeyu Ma, QingqingLong, Wei Ju
    AAAI Conference on Artificial Intelligence
    AAAI 2026, CCF-A, Corresponding Author

14. 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

15. 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

16. 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

17. 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

18. HGOOD: Hypergraph-enhanced Graph Contrastive Learning for Graph Out-of-Distribution Detection [Paper]
    Yueyue Gao, Chenyu Wang, Xuanting Fan, Wei Ju, Yifan Wang^# International Joint Conference on Artificial Intelligence
    IJCAI 2026, CCF-B, Corresponding Author

19. scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering [Paper]
    Jinke Wu, Yifan Wang^*, Siyu Yi, Caiyang Yu, Ziyue Qiao, Nan Yin, Jiancheng Lv, Wei Ju International Joint Conference on Artificial Intelligence
    IJCAI 2025, CCF-B, Co-first Author

20. 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-B, Co-first Author

21. 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

22. 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

23. 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

24. Graph-enhanced Prompt Learning for Personalized Review Generation [Paper]
    Xiaoru Qu, Yifan Wang^#, Zhao Li, Jun Gao
    Data Science and Engineering
    DSE 2024, CCF-B, JCR Q1, IF=5.1, Corresponding Author

25. 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

26. 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

27. 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

28. 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

29. 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

30. 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

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