王一帆
学系：大数据科学与技术系
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，同时长期招收solid background and self-motivated的研究生与本科生，欢迎有意向的同学与我联系，个人主页：https://jamesyifan.github.io/。
联系方式：yifanwang@uibe.edu.cn
研究兴趣：
研究兴趣主要集中于可信机器学习，图机器学习，时间序列模型，扩散模型，科学智能（AI4Science/Socialscience）， 大语言模型方面。具体包括：数据高效/数据中心/公平感知/可解释图学习，图领域自适应/泛化，推荐系统/社会计算，时间序列模型/扩散模型/大语言模型和智能体在经济管理（如量化交易）等领域的应用。
教育背景：
2017/9-2023/1，北京大学，计算机学院，博士
2014/9-2017/1，东北大学，软件学院，硕士
2010/9-2014/7，东北大学，软件学院，学士
工作经历：
2026/5-至今，对外经济贸易大学，副教授
2023/8-2026/5，对外经济贸易大学，讲师
学术发表：
目前已在ICML，NeurIPS，ICLR，KDD，WWW，ACL，AAAI，TKDE，TMM等人工智能/数据挖掘顶级期刊会议发表论文超50篇，总引用超过2880次，所发表论文受到新智元等媒体报道，入选ESI全球前0.1%热点论文1篇，前1%高被引论文3篇，入围ICDM 2022最佳论文候选（Best Paper Finalist），所设计算法模型在美团点评进行了成功落地应用。
Google Scholar：https://scholar.google.com/citations?user="olsrsjEAAAAJ&hl=en
(*同等贡献，#共同通讯)
2026:
Yifan Wang, Haodong Zhang, Changhu Wang, Tao Ren, Dongjie Wang, Wei Ju, Chong Chen, Xian-Sheng Hua, Xiao Luo. CLINIC: Towards High-quality Graph Out-Of-Distribution Detection[100]. ICML 2026. (CCF A)
Yuhang Pei, Fanchun Meng, Wenrui Wu, Tao Ren, Yifan Wang#, Wei Ju, Chao Zheng, Xiao Luo. CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series Classification[100]. ICML 2026. (CCF A, Corresponding Author)
Hourun Li, Yifan Wang#, Qinghua Ran, Junyu Luo, Jia Yang, Changling Zhou, Zhiping Xiao, Wei Ju, Xiao Luo#, Ming Zhang#. CELL: A Causal Perspective for Fairness-aware Graph Adaptation[100]. ICML 2026. (CCF A, Corresponding Author)
Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang and Wei Ju. KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection[100]. WWW 2026. (CCF A)
Yuntai Ding, Tao Ren, Yiwei Fu, Yifan Wang#, Haodong Zhang, Chong Chen, Wei Ju, Xiao Luo, Xian-Sheng Hua. HGOOD-D: Hyperbolic Hierarchical Exploration for Graph Out-of-Distribution Detection[J]. IEEE Transactions on Knowledge and Data Engineering 2026. (CCF A, Corresponding Author)
Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang#, Wei Ju, Huaizhi Tang, Junyu Luo. DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation[100]. KDD 2026. (CCF A, Corresponding Author)
Yuhang Pei, Fanchun Meng, Qinghua Ran, Tao Ren, Yifan Wang#, Wei Ju, Zimo Wang, Xian-Sheng Hua, Xiao Luo. Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning[100]. KDD 2026. (CCF A, Corresponding Author)
Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang#, Siyu Yi, Fanchun Meng, Zeyu Ma, QingqingLong, Wei Ju. FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering[100]. AAAI 2026. (CCF A, Oral Presentation, Corresponding Author)
Xuanting Fan, Chenyu Wang, Yueyue Gao, Wei Ju, Yifan Wang#. HGOOD: Hypergraph-enhanced Graph Contrastive Learning for Graph Out-of-Distribution Detection[100]. IJCAI 2026. (CCF B, Corresponding Author)
Jinke Wu, Yifan Wang*, Siyu Yi, Caiyang Yu, Ziyue Qiao, Nan Yin, Jiancheng Lv, Wei Ju. scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering[100]. IJCAI 2026. (CCF B, Co-first Author)
2025:
Yifan Wang*, Hourun Li*, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo. DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning[100]. ICML 2025: 63516-63529. (CCF A)
Xin Ma*, Yifan Wang*, Siyu Yi, Wei Ju, Junyu Luo, Yusheng Zhao, Xiao Luo, Jiancheng Lv. Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation[100]. NeurIPS 2025. (CCF A, Co-first Author)
Yifan Wang, Yuntai Ding, Yiyang Gu, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju. Deep Graph Clustering with Disentangled Representation Learning[100]. ACM MM 2025: 767-776. (CCF A)
Jiayi Zeng, Tao Ren, Changhu Wang, Yifan Wang#, Wei Ju, Zhipeng Sun, Xiao Luo. DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-distribution Generalization[100]. ACM MM 2025: 8920-8929. (CCF A, Corresponding Author)
Yuntai Ding, Tao Ren, Yifan Wang#, Chong Chen, Xian-Sheng Hua, Wei Ju. Reversible Column Disentangled Augmentation Tricks for Graph Contrastive Learning[J]. IEEE Transactions on Multimedia, 2025. (CCF A, JCR Q1, IF="9.7," Corresponding Author)
Hourun Li*, Yifan Wang*, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju. DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation[100]. AAAI 2025: 12049-12057. (CCF A, Co-first Author)
Haodong Zhang, Tao Ren, Yifan Wang#, Fanchun Meng, Wei Ju, Ying Tian#. Cluster-Aware Few-Shot Molecular Property Prediction with Factor Disentanglement[J]. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(11): 19644-19656. (CCF B, JCR Q1, IF="8.9," Corresponding Author)
Yifan Wang, Yangzi Yang, Shuai Li, Yutao Xie, Zhiping Xiao, Ming Zhang, Wei Ju. GMR-Rec: Graph mutual regularization learning for multi-domain recommendation[J]. Information Sciences, 2025, 703: 121946. (CCF B, JCR Q1, IF="6.8)
Tao Ren, Haodong Zhang, Yifan Wang#, Wei Ju, Chengwu Liu, Fanchun Meng, Siyu Yi, Xiao Luo. MHGC: Multi-scale hard sample mining for contrastive deep graph clustering[J]. Information Processing and Management, 2025, 62(4): 104084. (CCF B, JCR Q1, IF="6.9," Corresponding Author)
Xin Ma*, Yifan Wang*, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang and Jiancheng Lv. PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment[100]. IJCAI 2025: 3198-3207. (CCF B, Co-first Author)
2024:
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang and Wei Ju. DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 36(5): 8192-8204. (CCF B, JCR Q1, IF="8.9)
Xiaoru Qu, Yifan Wang#, Zhao Li, Jun Gao#. Graph-enhanced Prompt Learning for Personalized Review Generation[J]. Data Science and Engineering, 2024, 9(3): 309-324. (CCF B, JCR Q1, IF="4.6," Corresponding Author)
2023 and before:
Yifang Qin*, Yifan Wang*, Fang Sun*, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei and Ming Zhang. DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation[100]. WSDM 2023: 508-516. (CCF B, Co-first Author)
Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang Sheng Wang. DisenCite: Graph-based Disentangled Representation Learning for Context-specific Citation Generation[100]. AAAI 2022: 11449-11458. (CCF A, Oral Presentation)
Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang. DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction[100]. SIGIR 2022: 2314-2318. (CCF A)
Yifan Wang,Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang. DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation[100]. CIKM 2020: 1605-1614. (CCF B)
Yifan Wang*, Yifang Qin*, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang. AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation[100]. ECML-PKDD 2022: 474-490. (CCF B)
Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang. Deep Graph Mutual Learning for Cross-domain Recommendation[100]. DASFAA 2022: 298-305. (CCF B)
Yuhang Pei, Tao Ren, Yifan Wang#, Zhipeng Sun, Wei Ju, Chong Chen, Xian-Sheng Hua, Xiao Luo. LEAF: Large Language Diffusion Model for Time Series Forecasting[100]. EMNLP 2025: 1076–1091. (CCF B, Corresponding Author)
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang. Kernel-based Substructure Exploration for Next POI Recommendation[100]. ICDM 2022: 221-230. (CCF B, Best Paper Finalist)
研究项目：
教育部人文社科青年项目 2026/01-2028/12 主持
对外经济贸易大学校级青年项目 2024/01-2026/12 主持
对外经济贸易大学本科教育教学改革项目2025/06-2026/06 主持
对外经济贸易大学信息学院“人工智能交叉专项”2025/10-2026/10 主持
对外经济贸易大学新进教师启动项目 2023/09-2026/09 主持
科学技术部国家重点研发计划（知识图谱演化及协同推理，2018AAA0101902） 2019/12-2022/12 课题二主要完成人
北京市科委重点研发计划（基于知识图谱和深度神经网络的机器学习算法研究及验证 Z181100008918005） 2018/01-2019/12 主要完成人
美团校企合作（基于图表示学习的序列POI推荐） 2021/8-2022/9 项目技术负责人
美团校企合作（图表示学习在点评推荐中的应用） 2020/8-2021/10 项目技术负责人
获奖情况：对外经济贸易大学本科课堂教学质量评价前10% 2025
ACM SIGCSE中国分会优秀博士论文奖 2024
ICDM最佳论文提名 2022
学术服务：
学术兼职：
中国中文信息学会大模型与生成专委会委员
中国中文信息学会青年工作委员会预备委员
程序委员会委员 / 会议审稿人：
2026: ICML， ACM MM， NeurIPS， IJCAI (SPC)
2025: ICLR， ICML， NeurIPS， WWW， CVPR， AAAI， ACM MM
2024: ICLR， ICML， NeurIPS， SIGKDD， WWW， ACL， AAAI， ACM MM， PAKDD
2023: SIGKDD， ACL， AAAI， CIKM， AAAI
2022: ECCV， IJCNN， CIKM
期刊审稿人：
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)， IEEE Transactions on Knowledge and Data Engineering (TKDE)， IEEE Transactions on Multimedia (TMM)， IEEE Transactions on Neural Networks and Learning Systems (TNNLS)， ACM Transactions on Information Systems (TOIS)， Information Fusion (IF)， Pattern Recognition (PR)， Knowledge-Based Systems (KBS)， Neural Networks (NN)， Information Processing & Management (IPM)， Neurocomputing (NC)， Expert Systems with Applications (ESWA)， IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)， IEEE Transactions on Intelligent Vehicles (TIV).
教授课程：
机器学习实践（本科，BDT212）、Python程序设计（本科，CMP145）、人工智能素养与实践（本科，AIT105）、人工智能+X（研究生）