基本信息

姓名：王一帆

博彩社区-论坛博彩  助理教授/硕士生导师

办公地点：求索楼1041

电子邮箱：[email protected]

个人主页：//jamesyifan.github.io/

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教育背景：

2017年9月-2023年1月，北京大学，计算机博彩社区 ，理学博士

2014年9月-2017年1月，东北大学，软件博彩社区 ，硕士

2010年9月-2014年7月，东北大学，软件博彩社区 ，学士

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研究兴趣：

机器学习、人工智能、文本挖掘、图数据挖掘、图神经网络，重点关注在推荐系统、自然语言处理（文本生成与文本理解）、AI4Science（小到药物分子大到复杂的蛋白质结构）、计算机视觉以及经济管理（如量化交易）等领域的应用，欢迎感兴趣的同学与我联系。

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所授课程：

机器学习实践（本科，BDT212）

Python与数据结构（本科，CMP140）

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论文发表：

目前已在人工智能/数据挖掘顶级期刊会议发表论文近30篇，总引用超过1029次，所发表论文受到新智元等媒体报道，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：//scholar.google.com/citations?user=olsrsjEAAAAJ&hl=en (Totally Cited 1029 times)

(*同等贡献，#共同通讯)

2024:

1. Yifan Wang, Xiao Luo, Chong Chen, XianSheng 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. (SCI, JCR Q1, IF=14.255)

2. Xiaoru Qu, Yifan Wang^#, Zhao Li and Jun Gao^#. Graph-Enhanced Prompt Learning for Personalized Review Generation[J]. Data Science and Engineering, 2024: 1-16. (SCI, JCR Q1, IF=5.1)

3. Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo and Ming Zhang. DEER: Distribution Divergence-based Graph Contrast for Partial Label Learning on Graphs[J]. IEEE Transactions on Multimedia, 2024. (SCI, JCR Q1, IF=8.4)

4. Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang. Hypergraph-enhanced Dual Semi-supervised Graph Classification[C]. Accepted by ICML 2024.

5. Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang. Rank and Align: Towards Effective Source-free Graph Domain Adaptation[C]. Accepted by IJCAI 2024.

6. Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang. A survey of data-efficient graph learning[C]. Accepted by IJCAI 2024.

7. Weiju, 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. A Comprehensive Survey on Deep Graph Representation Learning[J]. Neural Networks, 2024: 106207. (SCI，JCR Q1，IF=9.657，引用99次）

2023:

1. 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[C]. In proceedings of WSDM 2023: 508-516. (CCF B, Cited 40 times)

2. Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong and Ming Zhang. Unsupervised Graph-level Representation Learning with Hierarchical Contrasts. Neural Networks[J], 2023: 158: 359-368. (SCI, JCR Q1, IF:9.657)

2022:

1. 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[C]. In proceedings of AAAI 2022: 11449-11458. (CCF A, Oral Presentation, Cited 24 times)

2. Yifan Wang*, Yifang Qin*, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang. AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation[C]. In proceedings of ECML-PKDD 2022: 474-490. (CCF B)

3. Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang. HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors[C]. In proceedings of IJCNN 2022: 1-8. (CCF C)

4. 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[C]. In proceedings of SIGIR 2022: 2314-2318. (CCF A, Cited 12 times)

5. 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[C]. In proceedings of DASFAA 2022: 298-305. (CCF B)

6. Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang. Kernel-based Substructure Exploration for Next POI Recommendation[C]. In proceedings of ICDM 2022: 221-230. (CCF B, Best Paper Finalist, Cited 21 times)

7. Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian Sheng Hua, Ming Zhang. TGNN: A Joint Semi-supervised Framework for Graph-level Classification[C]. In proceedings of IJCAI 2022: 2122-2128. (CCF A, Cited 38 times)

2020 and before：

1. Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang. DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation[C]. In Proceedings of CIKM 2020: 1605-1614. (CCF B, Cited 129 times)

2. Ming Zhang, Shixing Liu, Yifan Wang. STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention[C]. In Proceedings of the 7th IEEE Global Engineering Education Conference (EDUCON), 2020: 374-381. (EI, Accession Number: 20202908944851, Cited 20 times)

3. Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang. Session-based Social Recommendation via Dynamic Graph Attention Networks[C]. In proceedings of WSDM 2019: 555-563. (CCF B, Cited 400 times)

4. Tao Ren, Miaomiao Liu, Yanjie Xu, Yifan Wang. Prediction of Damage Results of Complex Network under Grey Information Attack[J]. Journal of Intelligent & Fuzzy Systems, 2018, 35(3): 3147-3162. (SCI, JCR Q3, IF: 1.851, WOS:000446239400055)

5. Tao Ren, Yifan Wang, Miaomiao Liu, Yanjie Xu. Analysis of Robustness of Urban Bus Network[J], Chinese Physics B, 2016,25(2): 020101. (SCI, JCR Q3, IF:1.494, WOS:000370179100001, Cited 43 times)

6. Tao Ren, Yifan Wang, Dan Du, Miaomiao Liu, Awais Siddiqi. The Guitar Chord-Generating Algorithm Based on Complex Network[J]. Physica A: Statistical Mechanics and its Applications, 2016, 443: 1-13. (SCI, JCR Q2, IF:3.263, WOS:000365052700001)

7. Tao Ren, Yifan Wang, Miaomiao Liu, Caijuan Li, Yiyang Liu. The Consensus of Nonlinear Multi-agent System with Switching Topologies and Communication Failure[J]. Journal of Intelligent & Fuzzy Systems, 2016, 30(2): 1199-1206. (SCI, JCR Q3, IF: 1.851, WOS:000371039300053)

8. Qian Zhu, Zhiliang Zhu, Yifan Wang, Hai Yu. Fuzzy-information-based Robustness of Interconnected Networks Against Attacks and Failures[J]. Physica A: Statistical Mechanics and its Applications, 2016, 458: 194-203. (SCI, JCR Q2, IF:3.263, WOS:000377736900019, Cited 12 times)

9. Qian Zhu, Yifan Wang, Zhiliang Zhu, Tao Ren. Robustness of Interdependent Networks Under Grey Information Attacking[J], Journal of Northeastern University (Natural Science) (EI), 2016, 37(10): 1393-1397. (EI, Accession Numbe:20164302945890)

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学术兼职：

期刊审稿人：

IEEE Transactions on Knowledge and Data Engineering (TKDE)

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)

IEEE Transactions on Intelligent Vehicles (TIV)

Information Fusion (IF)

Knowledge-Based Systems (KBS)

Information Processing and Management (IPM)

Frontiers of Computer Science

PLoS ONE

会议审稿人：

2024: ICLR, ICML, NeurIPS, AAAI, ACM MM, WWW, SIGCSE

2023: AAAI, ACL, KDD

2022: ECCV, IJCNN, ICONIP

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专利申请：

1. 王一帆，李永康，宋卫平，张铭. 一种用于推荐系统的解离化异构图注意力的方法及系统. 202011139631.3

2. 宋卫平，肖之屏，王一帆，劳伦特·查林，张铭，唐建. 推荐方法及系统、计算机装置、计算机可读存储介质. 201910032524.1

3、高山，王一帆，范将科，马玲，李帅，李永康，程兵，蔡勋梁，张铭. 一种模型训练的方法、信息推荐的方法以及装置. 202210441243.3

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科研项目：

对外经济贸易大学校级青年项目，2024/01-2026/12，主持

对外经济贸易大学新进教师启动项目，2023/09-2026/09，主持

知识图谱演化及协同推理 (2018AAA0101902)，科学技术部国家重点研发计划，2019/12-2022/12，课题二主要完成人

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)，北京市科委重点研发计划，2018/01-2019/12，主要完成人

基于图表示学习的序列POI推荐，美团，2021/8-2022/9，项目技术负责人

图表示学习在点评推荐中的应用，美团，2020/8-2021/10，项目技术负责人