Yifan Wang

Yifan Wang

Assistant Professor at School of Information Technology & Management, University of International Business and Economics

Publications

(* Equal Contribution, # Corresponding Author)

2025

  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. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

2024

  1. 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=7.3

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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, Co-first Author

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