万怀宇
博士、教授、博士生导师
博士、教授、博士生导师
办公电话: | 电子邮件: hywan@bjtu.edu.cn |
通讯地址:北京市海淀区上园村3号北京交通大学计算机学院知行大厦411 | 邮编:100044 |
万怀宇,博士,北京交通大学计算机科学与技术学院教授,博士生导师。2012年博士毕业于北京交通大学计算机科学与技术专业。清华大学计算机系博士后,比利时鲁汶大学访问学者。中国计算机学会(CCF)高级会员,中国计算机学会智慧交通分会执行委员,中国中文信息学会(CIPS)社会媒体处理专委会常务委员。期刊《Data Intelligence》编委。交通大数据与人工智能教育部重点实验室学术带头人。主要研究方向为数据挖掘与知识图谱,具体研究兴趣包括时空数据挖掘、社交网络挖掘、知识图谱推理等。主持国家重点研发计划课题、国家自然科学基金项目等各类科研项目20余项。发表学术论文80余篇,其中CCF A类会议和IEEE/ACM汇刊论文20余篇,ESI高被引论文2篇,Google Scholar高引用量论文2篇。入选斯坦福大学发布的2022全球前2%顶尖科学家榜单和爱思唯尔发布的2023中国高被引学者榜单。曾获中国计算机学会科技进步二等奖(主持)、中国航空运输协会民航科技二等奖(2/10)、中国人工智能学会吴文俊人工智能科技进步一等奖(6/14)、军队科技进步二等奖(9/10)等奖励。入选北京交通大学“卓越百人支持计划”。
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欢迎关注本研究组的学术公众号,我们将不定期分享时空数据挖掘及其相关领域的优秀论文、文献汇总、学术活动等信息:
2022.12-至今, 北京交通大学,计算机科学与技术学院,教授
2017.12-2022.11,北京交通大学,计算机科学与技术学院,副教授
2015.01-2017.11,北京交通大学,计算机科学与技术学院,讲师
2013.10-2013.11,比利时鲁汶大学,计算机科学系,访问学者,合作导师:Marie-Francine Moens
2013.01-2014.12,清华大学,计算机科学与技术系,博士后,合作导师:唐杰
2007.09-2012.07,北京交通大学,计算机科学与技术,博士,导师:黄厚宽、林友芳
2004.09-2007.01,北京交通大学,计算机应用技术,硕士,导师:黄厚宽
2000.09-2004.07,北京交通大学,计算机科学与技术,学士
学术型博士:
计算机科学与技术(方向:数据与知识工程、人工智能及应用)
工程博士:
计算机技术
人工智能
学术型硕士:
计算机科学与技术(方向:数据与知识工程、人工智能及应用)
专业学位硕士:
计算机技术
人工智能
大数据技术与工程
软件工程
主持:
参加:
研究生课程:
《深度学习》(课程负责人)
《机器学习》
《复杂网络基础》
本科生课程:
《深度学习》(课程负责人)
《机器学习》
《C语言程序设计》
Journal Articles:
1. [IEEE TKDE 2024] Yan Lin, Huaiyu Wan, Shengnan Guo*, Jilin Hu, Christian S. Jensen, Youfang Lin. Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (Accepted)
2. [KBS 2024] Tonglong Wei, Youfang Lin, Shengnan Guo*, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan. Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging. Knowledge-Based Systems (KBS), 2024, 284: 111325. [PDF]
3. [ESWA 2024] Xiyuan Jin, Jing Wang, Shengnan Guo*, Tonglong Wei, Yiji Zhao, Youfang Lin, Huaiyu Wan. Spatial–temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecasting. Expert Systems with Applications (ESWA), 2023, 238: 122143. [PDF]
4. [IEEE TITS 2023] Haomin Wen, Youfang Lin, Yuxuan Hu, Fan Wu, Mingxuan Xia, Xinyi Zhang, Lixia Wu, Haoyuan Hu, Huaiyu Wan*. Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. IEEE Transactions on Intelligent Transportation Systems (TITS), 2023, 24(12): 13787-13800. [PDF]
5. [IEEE TITS 2023] Yiji Zhao, Youfang Lin, Haoming Wen, Tonglong Wei, Xiyuan Jin, Huaiyu Wan*. Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems (TITS), 2023, 24 (8): 8650-8666. [PDF] [Code&Data]
6. [ACM TIST 2023] Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan*, Zhongxiang Sun, Tianyue Cai, Hongyu Liu, Shengnan Guo, Jianbin Zheng, Chao Song, Lixia Wu. Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors. ACM Transactions on Intelligent Systems and Technology (TIST), 2023, 14(3): Article No. 50. [PDF]
7. [KBS 2023] Jianwei Gao, Huaiyu Wan*, Youfang Lin. Exploiting Global Context and External Knowledge for Distantly Supervised Relation Extraction. Knowledge-Based Systems (KBS), 2023, 261: 110195. [PDF] [Code&Data]
8. [ESWA 2023] Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan*. Adversarial self-attentive time-variant neural networks for multi-step time series forecasting. Expert Systems with Applications (ESWA), 2023, 231: 120722. [PDF] [Code&Data]
9. [APIN 2023] Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan*. Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting. Applied Intelligence (APIN), 2023, 53: 28974-28993. [PDF] [Code&Data]
10. [IEEE TKDE 2022] Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin*. Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 34(11): 5510-5523. [PDF] [Code&Data]
11. [IEEE TKDE 2022] Shengnan Guo, Youfang Lin, Huaiyu Wan*, Xiucheng Li, Gao Cong. Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 34(11): 5415-5428. [PDF] [Code&Data] (★★★ ESI高被引论文 & 热点论文 ★★★)
12. [KBS 2022] Wei Chen, Huaiyu Wan, Shengnan Guo*, Haoyu Huang, Shaojie Zheng, Jiamu Li, Shuohao Lin, Youfang Lin. Building and Exploiting Spatial-Temporal Knowledge Graph for Next POI Recommendation. Knowledge-Based Systems (KBS), 2022, 258: 109951. [PDF] [Code&Data]
13. [IEEE TITS 2022] Yiji Zhao, Youfang Lin, Yongkai Zhang, Haoming Wen, Yunxiao Liu, Hao Wu, Zhihao Wu*, Shuaichao Zhang, Huaiyu Wan. Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship between Flows. IEEE Transactions on Intelligent Transportation Systems (TITS), 2022, 23(11): 20202-20216. [PDF]
14. [ACM TIST 2022] Haomin Wen, Youfang Lin, Huaiyu Wan*, Shengnan Guo, Fan Wu, Lixia Wu, Chao Song, Yinghui Xu. DeepRoute+: Modeling Couriers' Spatial-Temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction. ACM Transactions on Intelligent Systems and Technology (TIST), 2022, 13(2): Article No. 24. [PDF] [Code&Data]
15. [NCAA 2022] Changxia Gao, Ning Zhang, Youru Li, Feng Bian, Huaiyu Wan*. Self-Attention based Time-Variant Neural Networks for Multi-Step Time Series Forecasting. Neural Computing & Applications (NCAA), 2022, 34, 8737-8754. [PDF] [Code&Data]
16. [DI 2021] Qian Guo, Wei Chen, Huaiyu Wan*. AOL4PS: A Large-Scale Dataset for Personalized Search. Data Intelligence (DI), 2021, 3(4): 548-567. [PDF] [Code&Data]
17. [KBS 2020] Huaiyu Wan*, Shengnan Guo, Kang Yin, Xiaohui Liang, Youfang Lin. CTS-LSTM: LSTM-based Neural Networks for Correlated Time Series Prediction. Knowledge-Based Systems (KBS), 2020, 191: 105239. [PDF] [Code] [Data]
18. [IEEE TITS 2019] Shengnan Guo, Youfang Lin, Shijie Li, Zhaoming Chen, Huaiyu Wan*. Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting. IEEE Transactions on Intelligent Transportation Systems (TITS), 2019, 20(10): 3913-3926. [PDF] [Code] (★★★ ESI高被引论文 ★★★)
19. [DI 2019] Huaiyu Wan, Yutao Zhang, Jing Zhang, Jie Tang*. AMiner: Search and Mining of Academic Social Networks. Data Intelligence (DI), 2019. 1(1): 58-76. [PDF]
20. [JAMIA 2016] Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, Jie Tang*. Extracting Relations from Traditional Chinese Medicine Literature via Heterogeneous Entity Networks. Journal of the American Medical Informatics Association (JAMIA), 2016, 23(2): 356-365. [PDF]
21. [JSTAT 2016] Zhihao Wu, Youfang Lin, Huaiyu Wan, Waleed Jamil. Predicting Top-L Missing Links with Node and Link Clustering Information in Large-Scale Networks. Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 2016, 8: 083202.
22. [JCST 2015] Huaiyu Wan*, Zhiwei Wang, Youfang Lin, Xuguang Jia, Yuanwei Zhou. Discovering Family Groups in Passenger Social Networks. Journal of Computer Science and Technology (JCST), 2015, 30(5): 1141-1153.
23. [IEEE TITS 2015] Youfang Lin, Huaiyu Wan*, Rui Jiang, Zhihao Wu, Xuguang Jia. Inferring the Travel Purposes of Passenger Groups for Better Understanding of Passengers. IEEE Transactions on Intelligent Transportation Systems (TITS), 2015, 16(1): 235-243.
24. [JCST 2012] Huaiyu Wan*, Youfang Lin, Zhihao Wu, Houkuan Huang. Discovering Typed Communities in Mobile Social Networks. Journal of Computer Science and Technology (JCST), 2012, 27(3): 480-491.
25. [JCST 2012] Zhihao Wu, Youfang Lin, Steve Gregory, Huaiyu Wan, Shengfeng Tian. Balanced Multi-Label Propagation for Overlapping Community Detection in Social Networks. Journal of Computer Science and Technology (JCST), 2012, 27(3): 480-491.
26. [Physica A 2010] Zhihao Wu, Youfang Lin, Huaiyu Wan, Shengfeng Tian, Keyun Hu. Efficient Overlapping Community Detection in Huge Real-world Networks. Physica A: Statistical Mechanics and its Applications (Physica A), 2012, 391(7): 2475-2490.
Conference Papers:
1. [ICDE 2024] Wei Chen, Huaiyu Wan, Yuting Wu*, Jiayaqi Cheng, Shuyuan Zhao, Yuxin Li, Youfang Lin. Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning. The 40th IEEE International Conference on Data Engineering (ICDE), 2024. (Accepted)
2. [LREC-COLING 2024] Shuohao Lin, Wei Chen, Yunpeng Gao, Zhishu Jiang, Mengqi Liao, Zhiyu Zhang, Shuyuan Zhao and Huaiyu Wan*. KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024. (Accepted)
3. [SIGMOD 2024] Yan Lin, Huaiyu Wan, Jilin Hu*, Shengnan Guo, Bin Yang, Youfang Lin, Christian Jensen. Origin-Destination Travel Time Oracle for Map-based Services. The 2024 International Conference on Management of Data (SIGMOD), 2024. [PDF] [Code&Data]
4. [NeurIPS 2023] Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan*. WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting. The 37th Conference on Neural Information Processing Systems (NeurIPS), 2023. (Accepted) [Code&Data]
5. [KDD 2023] Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan*, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin. DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. [PDF] [Code&Data]
6. [EMNLP (Findings) 2023] Shuhan Wu, Huaiyu Wan, Wei Chen, Yuting Wu*, Junfeng Shen, Youfang Lin. Towards Enhancing Relational Rules for Knowledge Graph Link Prediction. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (Accepted)
7. [AAAI 2023] Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin*. GMDNet: A Graph-based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF] [Code&Data]
8. [AAAI 2023] Letian Gong, Youfang Lin, Shengnan Guo*, Yan Lin, Tianyi Wang, Erwen, Zheng, Zeyu Zhou, Huaiyu Wan. Contrastive Pre-training with Adversarial Perturbations for Check-in Sequence Representation Learning. The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF] [Code&Data]
9. [ICDE 2023] Tianyue Cai, Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo*, Lixia Wu, Haoyuan Hu, Youfang Lin. M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. The 39th IEEE International Conference on Data Engineering (ICDE), 2023. [PDF] [Code&Data]
10. [ICDE 2023] Shengnan Guo, Youfang Lin, Letian Gong, Chenyu Wang, Zeyu Zhou, Zekai Shen, Yiheng Huang, Huaiyu Wan*. Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting. The 39th IEEE International Conference on Data Engineering (ICDE), 2023. [PDF] [Code&Data]
11. [ICDE 2023] Yuting Qiang, Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu. Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. The 39th IEEE International Conference on Data Engineering (ICDE), 2023. (Short Paper) [PDF]
12. [SIGSPATIAL 2023] Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Zimmermann Roger and Yuxuan Liang*. DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. The 31th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023. [PDF] [Code&Data]
13. [PAKDD 2023] Wenchuang Peng, Youfang Lin, Shengnan Guo*, Weiwen Tang, Le Liu, Huaiyu Wan. Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation. The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023. [PDF] [Code&Data]
14. [KDD 2022] Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan*. Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. [PDF] [Code&Data]
15. [SIGSPATIAL 2021] Xiaowei Mao, Tianyue Cai, Wenchuang Peng, Huaiyu Wan*. Estimated Time of Arrival Prediction via Modeling the Spatial-Temporal Interactions between Links and Crosses. The 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2021. [PDF] [Code]
16. [AAAI 2021] Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin*. Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. [PDF] [Code]
17. [AAAI 2021] Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan*. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting. The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. [PDF] [Code&Data]
18. [ICDE 2021] Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan*, Shengnan Guo, Lixia Wu, Chao Song, Yinghui Xu. Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors. The 37th IEEE International Conference on Data Engineering (ICDE), 2021. (Short Paper) [PDF] [Code&Data]
19. [PAKDD 2021] Shaohua Du, Zhihao Wu, Huaiyu Wan*, Youfang Lin. HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021. [PDF]
20. [AAAI 2020] Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan*. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting. The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. [PDF] [Code] [Data] (extraction code: p72z) (★★★ Google Scholar Highly Cited Paper ★★★ & Pager Digest Most Influential AAAI Paper ★★★)
21. [AAAI 2019] Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan*. Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. [PDF] [Code-gluon] [Code-pytorch] [Data] [Slides] (★★★ Google Scholar Highly Cited Paper & Pager Digest Most Influential AAAI Paper ★★★)
22. [DASFAA 2019] Huaiyu Wan*, Fuchen Li, Shengnan Guo, Zhong Cao, Youfang Lin. Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories. The 24th International Conference on Database Systems for Advanced Applications (DASFAA), 2019. [PDF]
23. [ACML 2019] Yi Zhao, Huaiyu Wan*, Jianwei Gao, Youfang Lin. Improving Relation Classification by Entity Pair Graph. The 11th Asian Conference on Machine Learning (ACML), 2019. [PDF]
24. [CoNLL 2019] Yuze Ji, Youfang Lin, Jianwei Gao, Huaiyu Wan*. Exploiting the Entity Type Sequence to Benefit Event Detection. The 23rd Conference on Computational Natural Language Learning (CoNLL), 2019. [PDF]
25. [ICTAI 2019] Xi Cao, Huaiyu Wan, Youfang Lin and Sheng Han*. High-Value Prioritized Experience Replay for Off-policy Reinforcement Learning. The 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019.
26. [ECML-PKDD 2011] Huaiyu Wan*, Youfang Lin, Zhihao Wu, Houkuan Huang. A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011.
27. [RSKT 2011] Huaiyu Wan, Youfang Lin, Caiyan Jia, Houkuan Huang. Community-Based Relational Markov Networks in Complex Networks. The 6th Conference on Rough Sets and Knowledge Technology (RSKT). 2011.
28. [ISKE 2010] Zhihao Wu, Youfang Lin, Huaiyu Wan, Shengfeng Tian. A Fast and Reasonable Method for Community Detection with Adjustable Extent of Overlapping. The International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2010.
中文论文:
1. 刘乐, 郭晟楠*, 靳希源, 赵苗苗, 陈冉, 林友芳, 万怀宇. 融合不确定性建模的时空交通数据插补方法. 中国计算机学会人工智能会议(CCFAI 2023). 计算机研究与发展, 2024. [PDF]
2. 唐伟文, 郭晟楠*, 陈炜, 林友芳, 万怀宇. 融合时序知识图谱的路段级交通事故风险预测. 中国计算机学会人工智能会议(CCFAI 2023). 模式识别与人工智能, 2023, 36(08): 721-732. [PDF]
3. 彭文闯, 郭晟楠*, 万怀宇, 林友芳. 面向交通事故预测的时空多模态点过程. 第39届CCF中国数据库学术会议 (NDBC 2022). (萨师煊优秀学生论文奖). 计算机应用研究, 2023, 40(08): 2340-2345. [PDF]
4. 王晨宇, 温浩珉, 郭晟楠, 林友芳, 万怀宇*. 面向快递员揽收到达时间预测的多任务深度时空网络. 第10届CCF大数据学术会议 (CCF BIGDATA 2022). 计算机工程与科学, 2023, 45(01): 136-144. [PDF]
5. 魏远, 林彦, 郭晟楠, 林友芳, 万怀宇*. 融合出发地与目的地时空相关性的城市区域间出租车需求预测. 第39届CCF中国数据库学术会议 (NDBC 2022). 计算机应用, 2023, 43(07): 2100-2106. [PDF]
6. 童凯南, 林友芳, 刘军, 郭晟楠, 万怀宇*. 面向时空交通栅格流量预测的3D通道注意力网络. 第18届中国机器学习会议(CCML 2021). 国防科技大学学报, 2022, 44(03): 41-49. [PDF]
7. 张润生, 林友芳, 赵耀帅*, 彭文闯, 郭晟楠, 万怀宇. 面向交通数据插补的时空生成对抗网络. 第9届中国数据挖掘会议(CCDM 2022). 陕西师范大学学报, 2022. (已接收)
8. 陈雷, 赵耀帅*, 林彦, 郭晟楠, 万怀宇, 林友芳. 面向交通流量预测的时间异质性图注意力网络. 第18届中国机器学习会议(CCML 2021). 山东大学学报, 2023.
9. 高建伟, 万怀宇*, 林友芳. 融合实体外部知识的远程监督关系抽取方法. 中国计算机学会人工智能会议(CCFAI 2021). 计算机研究与发展, 2022, 59(12): 2794-2802. [PDF]
10. 于慧琳, 陈炜, 王琪, 高建伟, 万怀宇*. 使用子图推理实现知识图谱关系预测. 中国计算机学会人工智能会议(CCFAI 2021). 计算机科学与探索, 2022, 16(8): 1800-1808. [PDF]
11. 梁小慧, 郭晟楠, 万怀宇*. 基于自适应小波分解的时间序列分类方法. 计算机工程, 2022, 48(4): 81-88+98. [PDF]
12. 王强, 林友芳, 万怀宇*. 基于多任务学习的快件送达时间预测方法. 计算机工程, 2022, 48(4): 314-320. [PDF]
13. 孙盼, 王琪, 万怀宇*. 结合事件链和事理图谱的脚本事件预测方法. 计算机工程, 2022, 48(4): 119-125. [PDF]
14. 宋龙泽, 万怀宇*, 郭晟楠, 林友芳. 面向出租车空载时间预测的多任务时空图卷积网络. 第8届CCF大数据学术会议 (CCF BIGDATA 2020). (会议最佳应用论文奖) 计算机科学, 2021, 48(07): 112-117. [PDF]
15. 杜少华, 万怀宇*, 武志昊, 林友芳. 融合文本序列和图信息的海关商品HS编码分类. 第37届CCF中国数据库学术会议 (NDBC 2020). 计算机科学, 2021, 48(04): 97-103. [PDF]
16. 王贝贝, 万怀宇*, 郭晟楠, 林友芳. 融合局部和全局时空特征的交通事故风险预测. 第37届CCF中国数据库学术会议 (NDBC 2020). 计算机科学与探索, 2021, 15(09): 1694-1702. [PDF] [代码&数据集]
17. 金婧, 万怀宇*, 林友芳. 融合实体类别信息的知识图谱表示学习方法. 计算机工程, 2021, 47(4): 77-83. [PDF]
18. 吕亿林, 田宏韬, 高建伟, 万怀宇*. 结合百科知识与句子语义特征的关系抽取方法. 计算机科学, 2020, 47(6A): 40-44+65. [PDF]
19. 冯宁, 郭晟楠, 宋超, 朱琪超, 万怀宇*. 面向交通流量预测的多组件时空图卷积网络. 软件学报, 2019, 30(3): 759-769. (《软件学报》2020&2021连续两年高影响力论文,中信所2021年F5000论文) [PDF] [代码] [数据集]
20. 郭晟楠, 林友芳, 金文蔚, 万怀宇*. 基于时空循环卷积网络的城市区域人口流量预测. 计算机科学, 2019, 46 (6A): 385-391. [PDF]
21. 沈兰奔, 武志昊, 纪宇泽, 林友芳, 万怀宇*. 结合注意力机制与双向LSTM的中文事件检测方法. 中文信息学报, 2019, 33(9): 79-87. [PDF]
22. 林友芳, 尹康, 党毅, 郭晟楠, 万怀宇*. 基于时空LSTM的OD客运需求预测. 北京交通大学学报, 2019, 43(1): 114-121. [PDF]
23. 马语丹, 赵义, 金婧, 万怀宇*. 结合实体共现信息与句子语义特征的关系抽取方法. 中国科学: 信息科学, 2018, 48(11): 1533-1545. [PDF]
24. 林友芳, 康友隐, 万怀宇*, 吴丽娜, 张宇翔. 基于深度时空卷积网络的民航需求预测. 北京交通大学学报, 2018, 42(2): 1-8. [PDF]
25. 张东雷, 林友芳, 万怀宇*, 马语丹, 陆金梁. 在线技术社区的用户技能与兴趣发现. 第六届全国社会媒体处理大会 (SMP 2017). (会议最佳中文论文提名奖) 中文信息学报. 2018, 32(7): 116-127. [PDF]
26. 常耀成, 张宇翔, 王红, 万怀宇, 肖春景. 特征驱动的关键词提取算法综述. 软件学报, 2018, 29(7): 2046-2070. (《软件学报》2020年高影响力论文)
27. 许强永, 林友芳, 万怀宇*, 吴丽娜, 贾旭光. 基于用户在线查询行为分析的民航异常需求发现. 第五届全国社会媒体处理大会 (SMP 2016). 中国科学: 信息科学. 2017, 47(8): 1023-1035.
28. 林友芳, 王琨琨, 周超, 万怀宇, 武志昊. 基于社交网络的民航旅客偏好建模. 北京交通大学学报, 2014, 38(6): 33-39.
29. 林友芳, 张奥爽, 万怀宇, 武志昊. 一种基于社交网络的民航新旅客成长性预测方法. 北京交通大学学报, 2014, 38(6): 40-46.
30. 万怀宇, 林友芳, 黄厚宽. 社会网络中的链接稳定性预测问题研究. 北京交通大学学报, 2009, 33(5): 99-103.
1. 万怀宇, 林友芳, 武志昊, 韩升, 王晶, 张硕. 一种基于司法裁判文书的人员社交关系抽取方法. (专利号: CN202010205874.6)
2. 林友芳, 万怀宇, 韩升, 武志昊, 王晶, 张硕. 一种司法文本中经济事件的抽取方法及系统. (专利号: CN202010164540.9)
3. 王晶, 林友芳, 万怀宇, 武志昊, 韩升, 董兴业, 张硕. 一种关键性能指标数据的时序异常检测方法及系统. (专利号: CN202010282009.1)
4. 万怀宇, 林友芳, 武志昊, 韩升, 王晶, 张硕. 一种基于历史行为画像的出行车辆路径选择方法. (专利号: CN202010164607.9)
5. 王晶, 林友芳, 韩升, 万怀宇, 武志昊, 董兴业, 张硕. 一种基于心跳间期的睡眠呼吸暂停自动检测方法及装置. (专利号: CN202010077427.7)
6. 万怀宇, 林友芳, 王涛, 杜少华, 王强. 一种基于历史数据挖掘的海关报关商品智能归类方法. (专利号: CN201910617732.8)
7. 林友芳, 万怀宇, 李金富, 王强, 王涛. 一种基于历史数据挖掘的海关报关单智能填报方法. (专利号: CN201910617724.3)
8. 林友芳, 武志昊, 万怀宇, 韩升, 董兴业, 王晶, 张硕. 带层次网络结构的业务系统层次组织结构发现方法. (专利号: CN201910407940.5)
9. 万怀宇, 林友芳, 韩升. 一种基于移动终端信令数据的城市主干道路连接方法. (专利号: CN201810884019.5)
10. 万怀宇, 林友芳, 王晶. 一种社会事件与客运交通需求之间的相关性分析方法. (专利号: CN201711403609.3)
11. 武志昊, 林友芳, 万怀宇. 大型数据中心服务器应用角色划分的方法. (专利号: CN201711405036.8)
12. 林友芳, 武志昊, 万怀宇. 基于服务器应用逻辑的大型数据中心业务子系统发现方法. (专利号: CN201711403565.4)
13. 林友芳, 韩升, 万怀宇, 武志昊. 数据中心服务器的业务应用逻辑网络的构建方法. (专利号: CN201610526019.9)
已毕业博士生:
郭晟楠(2021届,联合指导),北京交通大学,讲师
赵苡积(2023届,联合指导),云南大学,讲师
已毕业硕士生:
2014级:许强永(联合指导),阿里巴巴,校级优秀硕士论文
邱 鹏(联合指导),招银科技
邢高生(联合指导),中信银行
2015级:康友隐(联合指导),京东
张东雷(联合指导),中科闻歌
李科霖(联合指导),中央办公厅
2016级:马语丹,度小满金融,校级优秀毕业生、院级优秀硕士论文
李付琛,百度
冯 宁,招商银行,校级优秀硕士论文
尹 康(联合指导),百度,院级优秀硕士论文
沈兰奔(联合指导),搜狗
燕 翔(联合指导),中电三所
2017级:赵 义,百度公司,校级优秀硕士论文
曹 仲,快手
金 婧,华为,院级优秀硕士论文
王 涛,阿里巴巴
宋 超(联合指导),阿里巴巴,校级优秀硕士论文
纪宇泽(联合指导),中国农业银行,校级优秀毕业生、院级优秀硕士论文
曹 茜(联合指导),百度,校级优秀硕士论文
朱琪超(联合指导),百度
辛 颖(联合指导),小米
2018级:高建伟,高德,院级优秀硕士论文
梁小慧,美团
郭 倩,中国人寿,院级优秀硕士论文
孙 盼,渤海银行
王贝贝(联合指导),微软,校级优秀硕士论文
宋龙泽(联合指导),字节跳动
杜少华(联合指导),中国农业银行
王 强(联合指导),中国农业银行,北京市优秀毕业生、校级优秀毕业生干部、院级优秀硕士论文
吴越一雄(联合指导),爱奇艺
2019级:于慧琳,国家开发银行
陈 雷,Shopee
王 琪,北京铁路局
陈非凡,科大讯飞
童凯南(联合指导),阿里巴巴
刘辰宇(联合指导),SAP(思爱普)
薛文韬(联合指导),中金公司
2020级:孟庆强,字节跳动
马元皓,字节跳动
崔贯娇,理想汽车,院级优秀硕士论文
林发元,支付宝
王晨宇,渤海银行
黄学荣,中国工商银行
魏 远,国家电网
袁英姿,Texas Tech University
魏庄磊(联合指导),广联达
彭文闯(联合指导),航旅纵横
2021级:刘 乐,蔚来汽车
白云龙(联合指导),中国农业银行
李 萌(联合指导),中国建设银行
在读博士生:
林 彦(2019级),入选“2022年度腾讯犀牛鸟精英人才计划”,丹麦奥尔堡大学访问学生
温浩珉(2019级,联合指导),新加坡国立大学访问学生,2023国家奖学金
陈 炜(2020级)
郝鑫岩(2021级)
贾宇欣(2021级,联合指导)
毛潇苇(2022级)
韦统龙(2022级,联合指导)
贡乐天(2023级)
姜 洋(2023级,联合指导)
吕皓辰(2024级,詹天佑学院)
赵书源(2024级)
在读硕士生:
2021级:唐伟文、蔡天岳(2023国家奖学金)、林铄浩、吴书函、杜梦辉、余梁、曾红丽,联合指导:秦梓鑫
2022级:蒋致书、周泽宇、侯云峰、黄国亮、闫田子、刘帅,联合指导:申泽楷、王天一、冯凡利、姜涛
2023级:郑尔文、刘奕辰、廖梦祈、张芷毓、刘波、周理泳,联合指导:黄奕恒、陈晗阳、郁静、鄢坤、鲜星宇、李宇翔
班主任工作:
计算机1905班
计算机1503班(北京市先进班集体)
大创项目指导:
33项(其中国家级和北京市级16项)
本科毕设指导:
15人(其中A-以上11人)
学科竞赛指导:
2021年ACM SIGSPATIAL GISCUP铜奖
2020年中国电子学会全国大学生大数据分析与挖掘竞赛特等奖
欢迎访问“北京交通大学网络科学与智能系统研究所”团队网站:http://insis.bjtu.edu.cn/