在读研期间，所有与你读研相关的事情，可能都需要经过你的导师同意，所以说，选择导师真的很重要，也希望大家能够认真对待这件事，怎样才能选择适合自己的导师呢?这就要我们提前做足功课，尽可能多的搜集有关你准备报考的导师的信息，下面新东方在线考研频道为大家分享：“北京交通大学硕士研究生导师信息：林友芳”文章。
北京交通大学硕士研究生导师信息：林友芳
林友芳
博士、教授、网信办、信息中心主任，大数据研究院院长
基本信息
办公电话：电子邮件： yflin@bjtu.edu.cn
通讯地址：北京交通大学计算机科学与技术学院邮编：100044
个人简介
林友芳，博士，计算机科学与技术学院教授，博士生导师。北京市教学名师、北京市优秀教师。2002年博士毕业于北方交通大学(现北京交通大学)。中国计算机学会(CCF)高级会员，CCF大数据专家委员会执行委员，CCF人工智能与模式识别专委会执行委员，CCF智慧交通专委会执行委员。
主要从事数据挖掘、大数据工程与技术、深度强化学习、智能技术与系统、交通数据分析与挖掘等领域的应用基础研究和应用研究工作。具有较为丰富的信息系统规划、设计、组织开发与实施经验。主持和参与项目共计100余项，其中主持项目50余项，多数为服务于中大型企业的科研项目。近年来在TKDE、TITS、TNSRE、TWEB、TVT、TMM、TCI、TIM、TIST、TCSVT、KBS、Physic Review E、JCST等重要学术期刊和NeurIPS、KDD、CVPR、AAAI、IJCAI、ACM MM、ICDE、SIGMOD等高级学术会议上发表论文200余篇，其中CCF A类国际期刊和CCF A类国际会议论文共41篇，IEEE/ACM汇刊论文共30余篇。著有《交通大数据》一书。
行政职务：
现任北京交通大学网络安全与信息化办公室、网络信息技术中心主任。
学术科研职务：
计算机科学与技术学院网络科学与智能系统研究所所长
新一代信息技术及应用北京市高精尖学科负责人
交通数据分析与挖掘北京市重点实验室常务副主任
北京交通大学大数据研究院院长
综合交通运输大数据应用技术交通运输部行业重点实验室副主任
民航旅客服务智能化应用技术重点实验室副主任
曾获国家级教学成果一等奖1项，北京市教学成果一等奖2项、二等奖2项，主持获得民航科技二等1项，参与获计算机学会科技进步二等奖1项。曾多次获得学校各类科研与教学奖励，获北京市教学名师、校教学名师、北京市优秀教师、北京交通大学优秀教师、学校优秀教育工作者称号，多次获得北京交通大学“我最敬爱的老师”称号，长期保持优秀主讲教师称号，学校课堂教学教风标兵。指导学生多次获得国家、国际级学科竞赛特等奖或一等奖。工作经历
2021.6—至今 北京交通大学，网信办、信息中心，主任
2012.12—至今 北京交通大学，计算机学院，教授
2012.1—2012.7 英国布里斯托尔大学，访问学者
2007.12—2021.9 北京交通大学，计算机与信息技术学院，副院长
2004.12—2012.11 北京交通大学，计算机与信息技术学院，副教授
2002.8—2004.11 北方交通大学，计算机与信息技术学院，讲师
1992.9—1997.8 郑州轻工业学院，控制工程系，计算机系，教师
教育背景
1999.9—2002.7 北方交通大学，信号与信息处理，博士，导师：黄厚宽
1997.9-1999.8 北方交通大学，计算机科学与技术，硕士，导师：黄厚宽，提前攻博
1989.9-1992.7 郑州轻工业学院，计算机应用专业
获奖与荣誉
2023年，获评北京市教学名师
2023年，获国家级教学成果一等奖1项(12/15)
2022年，获评北京市优秀教师
2021年，中国航空运输协会民航科学技术奖二等奖(1/12);
2021、2019、2012年，共计三次获得北京交通大学“我最敬爱的老师”称号;
2021年，获北京市高等教育教学成果奖一等奖1项(12/15)，二等奖1项(16/17)
2021年，主持获北京交通大学研究生教学成果奖特等奖1项
2021年，参与获得北京交通大学教学成果奖特等奖2项，一等奖2项，二等奖1项
2021年，北京交通大学优秀共产党员
2021年，北京交通大学优秀教育工作者
2020年，北京交通大学优秀教师
2020年，课程《数据库系统原理》校一流建设课程
2020年，北京交通大学詹天佑专项奖——教学奖
2020年，获第14届全国信息与电子学科研究生教育学术研讨会教改论文一等奖
2019年，课程《数据库系统原理》获评北京交通大学首届课程思政示范课
2019年，指导学生获首届IKCEST“一带一路” 国际大数据竞赛一等奖(2/2312)，并获优秀指导老师称号
2019年指导学生参加“2019年全国高校计算机能力挑战赛”获评优秀指导老师
2018年，教改论文《双一流"背景下计算机大类专业高端人才培养综合改革探索》获第12届全国信息与电子学科研究生教育学术研讨会上获特等奖
2017年，北京交通大学教学名师
2015年，北京交通大学课堂教学教风标兵
2015年，获得中国科协科学中国人年度人物(信息技术领域)
2014年，指导学生获“中国软件杯”大学生软件设计大赛最高奖——特等奖，并获优秀指导老师称号
招生专业
计算机科学与技术硕士
计算机技术硕士
软件工程硕士
人工智能硕士
大数据技术与工程硕士
计算机科学与技术博士
人工智能博士
新一代电子信息技术(含量子技术等)硕士
软件工程博士
计算机技术博士
新一代电子信息技术(含量子技术等)博士
教学工作
本科课程：
《数据库系统原理》，计算机大类专业，核心骨干课程，课程思政示范课，校一流课程，课程负责人
研究生课程：
1. 《数据仓库与大数据工程》硕士专业核心课程，课程负责人
2. 《强化学习前沿理论与技术》，博士课程，课程负责人
本研共选课：
《 大数据技术》，课程负责人
科研项目
主持项目50余项，2008年以来，主要科研项目包括：
1. 国家自然科学基金面上：面向稀疏性问题的时空轨迹生成与表示学习方法研究，2024-2027，主持
2. CCF-智谱大模型基金：面向智慧交通和物流领域的地理大模型研究，横向，2023年—参加
3. 某单位：陆路交通某系统模块开发和集成服务，2023年-，参加
4. 招商新智：恶劣天气安全通行关键技术研究与示范，2023年-，参加
5. 某单位：动态数据注入的超实时仿真技术研究，2022年，参加
6. 北京交通发展研究院：北京市骨干路网运行状态短时预测模型，2023年，参加
7. 某单位：XXXX态势可视化管理和时序表示优化技术研究，2022年，主持
8. 中移上海：智能车路协同大数据关键技术研究算法服务开发，2022年，参加
9. 某单位：XXXX运行模拟软件动态导调模块开发与软件联调保障，2022，参加
10. 科技部重点研发项目任务：多场耦合作用下的孪生体动态建模，2022，参加
11. 招商新智：路网运行监测管理时空数据处理技术及智能分析算法，2022，参加
12. 某单位：数据驱动的电机建模及状态预测，2022年，参加
13. 人大金仓：多模数据库技术演进及趋势洞察分析，2022年，参加
14. CCF-阿里巴巴创新研究计划(AIR)青年科学基金：物流系统中的时空预测及决策算法研究，参加
15. 先进轨道交通数字化集成管理平台方案研究，2022年，主持
16. 中移信息，基于移动用户轨迹大数据的异常交通事件预测，2021年，参加
17. XX系统XXX仿真验证系统开发，2021年，参加
18. 融合***知识的智能***关键技术，2021，参加
19. 高速公路车辆通行指标分析技术咨询，横向，2021，参加
20. 华为：基于时空图神经网络的城市路网交通状态估计与预测，2021，参加
21. 厦航：航空配餐备份量动态预测算法，2021年-2022年，主持
22. 中国航信：交易市场数字模型构建及收放舱操作复盘可视化原型系统研究技术服务，2020—主持
23. 科技部重点研发项目课题：诉讼财产保全智能评估及预警技术，2018—，主持
24. 教育部-中国移动科研基金项目：实时交通准确率提升，2019—，主持
25. 中国航信：面向民航业务系统运维的多重周期时间序列数据异常检测方法研究，2020—，参加
26. 中国航信：主机指令关系研究，2020—，参加
27. 国家级“四总部”项目，基于时序数据模型的船舶设备异常检测与健康评估技术研究，2019-2020，参加
28. 省部级项目：某虚拟样机集成仿真软件，2019--，主持
29. 省部级项目：基于任务的CDJLC等指标体系分析计算模型软件，2019—参加
30. 中国航信：航班大面积延误场景下的旅客流向与动态需求预测方法研究， 2018-，主持
31. 省部级项目：某设备可靠性试验数据管理技术研究及应用，2019-2020，参加
32. 朗兴金关：海关智能填报与归类技术研究与原型系统开发，2018-20120
33. 嘀嘀盖亚计划：融合位置嵌入表示与注意力机制的乘客未来出行路径预测方法研究，2018-2020
34. 数字孪生引擎:HKBZ CPS原型系统部分软件模型开发，2019-2020，主持
35. 大数据项目：新能源汽车动力电池大数据分析平台，2019-2020，参加中国航信：民航应用运维系统数据分析模块技术，2019-2020
36. 交通部：基于全国公路阻断数据加工与分析，2018-2020
37. 交通部：高速公路大数据实验分析平台开发，2019-2020
38. 中国航信：航班大面积延误场景下的旅客流向与动态需求预测方法研究，2019-2020，主持
39. 中国航信：民航核心业务系统与市场规模匹配性总体分析方案研究，2018-2020，主持
40. 应用项目：基于手机信令数据的人口大数据监测，2017
41. 教育部-中国移动科研基金项目：基于位置和社交网络的移动用户精准营销算法，2015-2017，主持
42. 中国航信：航信数据中心服务器应用网络发现及结构与健康分析系统，2016-2017，主持
43. 中国航信：事件对民航需求的影响及预测模型研究项目，2016-2017，主要负责人
44. 中国航信：民航需求指数模型研究，2014.9-至今，主持
45. 中国航信：航班搜索自适应动态决策查询优化技术研究，2014-至今，主持
46. 其他省级项目：某领域大数据平台规划设计与系统研发，2014-至今
47. 中国航信：航班旅客座位预分配算法研究与实现, 2013-2014，主持
48. 北京市科委：基于大数据的交通计算若干问题研究，2013--2014，参加
49. 其他省级项目：基于复杂网络的适配性管理技术研究，2013--2015，参加
50. 其他省级项目：复杂网络交互环境高速数据录取与智能分析系统，2013—至今，主持
51. 教育部：“数字媒体信息处理” 教育部创新团队，2013--2015，参加
52. 中国航信：民航旅客社会网络构建及亲友关系分类方法研究与实现，2013--2014，主持
53. 民航局：基于社会网络挖掘与分析技术的民航旅客价值发现研究，2012--2013，主持
54. 其他省级项目：某领域仿真推演评估系统，2011--2013，主持
55. 北京市自然基金“面上”：复杂网络聚类分析及应用，2011--2013，参加
56. 其他省级项目：人机交互显控技术研究，2011--2011，主持
57. 其他省级项目：仿真想定设计系统，2010--2012，主持
58. 基本科研业务费：面向复杂网络的数据挖掘理论与应用技术研究，2011-2014，主持
59. 国际科技合作计划：面向领域搜索的文本挖掘技术研究，2011--2013，主持
60. 基本科研业务费：大规模复杂网络数据挖掘技术研究，2009--2011，主持
61. 其他省级项目：软件质量量度和评价系统，2010--2011，主持
62. 中国移动研究院：面向精确营销的用户行为分析模型研究与系统研发，2009，主持
63. 中国移动研究院：大规模社会网络分析与可视化软件，2008-2009，主持
论文/期刊
近年来在TKDE、TITS、TNSRE、TWEB、TVT、TMM、TCI、TIM、TIST、TCSVT、KBS、Physic Review E、JCST等重要学术期刊和NeurIPS、KDD、CVPR、AAAI、IJCAI、ACM MM、ICDE、SIGMOD等高级学术会议上发表论文200余篇，其中CCF A类国际期刊和CCF A类国际会议论文共41篇，IEEE/ACM汇刊论文共31篇。
Conference Papers:
[NeurIPS 2024]Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan，Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models，The 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. Accepted.
[NeurIPS 2024] Yuxin Jia, Youfang Lin, Jing Yu, Shuo Wang, Tianhao Liu, Huaiyu Wan，PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting，The 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. Accepted.
[NeurIPS 2024] Hanyang Chen, Yang Jiang, Shengnan Guo, Xiaowei Mao, Youfang Lin, Huaiyu Wan，DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data，The 38th Conference on Neural Information Processing Systems (NeurIPS), 2024. Accepted.
[KDD 2024] Lixia Wu†, Haomin Wen†, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbing Zhen, Junhong Lou, Yuxuan Liang*, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan. LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. In Proc. of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2024.
[IJCAI 2024] Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv*. How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective. 33rd International Joint Conference on Artificial Intelligence (IJCAI). 2024.
[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.
[AAAI 2024] Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv*. Enhancing Off-policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation, The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
[AAAI 2024] Shuo Wang, Zhihao Wu, Xiaobo Hu, Jinwen Wang, Youfang Lin, Kai Lv*. What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction. The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
[SIGSpatial 2023] Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang*.DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models, 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,2023.
[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.
[NeurIPS 2023] Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Youfang Lin, Shou cheng Song, Han Wang, Li Jiang, Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL，The 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.
[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, SIGMOD International Conference on Management of Data ,2024.
[SIGKDD 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.
[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.
[ICDE 2023] Jing Wang, Xiaojun Ning, Wangjun Shi, Youfang Lin, A Bayesian Graph Neural Network for EEG Classification — A Win-Win on Performance and Interpretability，the 39th IEEE International Conference on Data Engineering (ICDE), 2023.
[ICDE 2023] Shengnan Guo, Letian Gong, Chenyu Wang, Zeyu Zhou, Zekai Shen, Youfang Lin, 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.
[AAAI 2023] Letian Gong, Youfang Lin, Shengnan Guo*, Yan Lin, Tianyi Wang, Erwen, Zheng, Zeyu Zhou, Huaiyu Wan. 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), 2023.
[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.
[ACM MM 2022] Song Chang, Youfang Lin, Shuo Zhang, Flexible Hybrid Lenses Light Field Super-Resolution using Layered Refinement, ACM International Conference on Multimedia, 2022.
[SIGKDD 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, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM SIGKDD, 2022.
[ACM MM 2021] Ziyu Jia, Youfang Lin, Jing Wang, Zhiyang Feng, Xiangheng Xie, Caijie Chen, HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition, ACM International Conference on Multimedia, 2021.
[ACM MM 2021] Dong Jing, Shuo Zhang, Runmin Cong, Youfang Lin*, Occlusion-aware Bi-directional Guided Network for Light Field Salienct Object Detection, ACM International Conference on Multimedia， 2021。
[IJCAI 2021] Ziyu Jia, Youfang Lin, Jing Wang, Peiyi Xie, Xuewei Wang, Yingbin Zhang, SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging，International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[IJCAI 2021] Shuo Zhang, Zeqi Shen, Youfang Lin,Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter，International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[AAAI 2021] Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan, GSNet: learning spatial-temproal correlations from geographical and semantic aspects for traffic accident risk forecasting. Proc. of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.
[AAAI 2021] Yan Lin, Haiyu Wan, Shengnan Guo, Youfang Lin*, Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. Proc. of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.
[AAAI 2021] Jiaxin Chen, Shuo Zhang, Youfang Lin, Attention-based Multi-Level Fusion Network for Light Field Depth Estimation, Proc. of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.
[ICDE 2021] Haomin Wen, Youfang Lin, Huaiyu Wan, etc. Learning-based and Preference-aware Package Pick-up Route Prediction via Modeling Courier’s Historical Behaviors, IEEE International Conference on Database Engineering (ICDE),2021
[ACM MM 2020] Ziyu Jia, Youfang Lin, Jing Wang, etc. SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition. ACM International Conference on Multimedia 2020.
[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， Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. 入选AAAI 2020 Most Influential Papers.
[IJCAI 2020] Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao, GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification, International Joint Conference on Artificial Intelligence (IJCAI), 2020.
[CVPR 2019] Shuo Zhang, Youfang Lin, Hao Sheng, Residual Network for Light Field Super-Resolution, IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2019.
[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. 入选AAAI 2019 Most Influential Papers.
[ECML-PKDD 2020] Ziyu Jia, Youfang Lin, Jing Wang, Kaixin Yang, Tianhang Liu and Xinwang Zhang, MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.
[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.
[ICTAI 2019] Xi Cao, Huaiyu Wan, Youfang Lin and Sheng Han. High-Value Prioritized Experience Replay for Off-policy Reinforcement Learning. Proc. of the 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019.
[ACML 2019] Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin. Improving Relation Classification by Entity Pair Graph. Proc. of the 11th Asian Conference on Machine Learning (ACML), 2019.
[CoNLL 2019] Yuze Ji, Youfang Lin, Jianwei Gao, Huaiyu Wan. Exploiting the Entity Type Sequence to Benefit Event Detection. Proc. of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019. [PDF]
[ICTAI 2017] Liangjie Wei, Youfang Lin, Jing Wang(通讯), Yan Ma, Time-Frequency Convolutional Neural Network for Automatic Sleep Stage Classification Based on Single-Channel EEG. 29th International Conference on Tools with Artificial Intelligence(ICTAI), Boston, MA, USA, 2017.11.06-11.08.
[ICARCV 2016] Youfang Lin, Siqiao Wu, Xiangpeng Bai. An Efficient Approach of Map-learning on Service Robot in Complex Office Environment using Laser Radar. The 14th IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016.
[ICARCV 2014] Youfang Lin, Shen Li, Sujie Liu, Yuchang Chen. An Efficient Approach to Mobile Robot Motion Planning in Dynamically Unknown Environments. Proceedings of the 13th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2014.
[ECML PKDD 2011] Huaiyu Wan, Youfang Lin, Zhihao Wu, Houkuan Huang. A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks. Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011. CCF B类会议
[AAAI 2008] Jiayu Zhou, Youfang Lin, Xi Wang. Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach. Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI), 2008.
Journal Articles:
[TKDE 2024] Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Huaiyu Wan. Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation， IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, Accepted.
[TKDE 2024] Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan*. A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. (Accepted)
[TMM] Song Chang, Youfang Lin, Shuo Zhang*. Structure-Aware Pre-Selected Neural Rendering for Light Field Reconstruction. IEEE Transactions on Multimedia (TMM), 2024, Accepted.
[TKDE 2024] Letian Gong, Huaiyu Wan, Shengnan Guo*, Xiucheng Li, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin. Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024. Accepted
[TOMM 2024] Kai Lv, Haobo Chen, Chuyang Zhao, Kai Tu, Junru Chen, Yadong Li, Boxun Li, and Youfang Lin*. Style Variable and Irrelevant Learning for Generalizable Person Re-identification.ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024.
[TKDE] Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo*, Lan Zhang, Huaiyu Wan. Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024.
[TCI 2024] Shuo Zhang,Zexu Pan,Yichang Lv, Youfang Lin,Hierarchical Edge Refinement Network for Guided Depth Map Super-Resolution.IEEE Transactions on Computational Imaging (TCI), 2024.
[TOMM 2024] Xiaobo Hu, Youfang Lin, Hehe Fan, Shuo Wang, Zhihao Wu , Kai Lv. Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024.
[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.
[TIM 2023] Xiaojun Ning, Jing Wang, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Xiaoli Li, Ziyu Jia, MetaEmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network with Meta-learning for EEG Emotion Recognition, IEEE Transactions on Instrumentation & Measurement (TIM), 2023.
[TNSRE 2023] Xiyuan Jin, Jing Wang, Lei Liu, Youfang Lin, Uncertainty-aware Denoising Network for artifact removal in EEG signals, IEEE Transactions on Neural Systems & Rehabilitation Engineering(TNSRE), 2023 .
[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, 2024.
[CMPB 2023] Zhaoyang Ma, Jing Wang, Jinghang Yue, Youfang Lin, A homologous and heterogeneous multi-view inter-patient adaptive network for arrhythmia detection, Computer Methods and Programs in Biomedicine, 2023, 241: 107740.
[TITS 2023] Kai Lv , Shuo Wang , Shuai Han , Youfang Lin，Spatially-Regularized Features for Vehicle Re-identification: An Explanation of Where Deep Models Should Focus，IEEE Transactions on Intelligent Transportation Systems (TITS), 2023.
[TIM 2023] Yunfei Bai, Jing Wang, Xueer Zhang, Xiangtai Miao, Youfang Lin, CrossFuN: Multi-View Joint Cross Fusion Network for Time series Anomaly Detection, IEEE Transactions on Instrumentation & Measurement (TIM), 2023.
[SPL 2023] Jiaoxue Deng, Youfang Lin, Xiyuan Jin, Xiaojun Ning, Jing Wang, Multi-view Consistency Contrastive Learning with Hard Positives for Sleep Signals, IEEE Signal Processing Letters (SPL) , 2023.
[TCSVT 2023] Xiaobo Hu, Youfang Lin, Shuo Wang, Zhihao Wu and Kai Lv*. Agent-Centric Relation Graph for Object Visual Navigation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
[TMM 2023] Shuo Wang, Zhihao Wu, Xiaobo Hu, Youfang Lin, Kai Lv*. Skill-based Hierarchical Reinforcement Learning for Target Visual Navigation. IEEE Transactions on Multimedia (TMM), 2023.
[TCI 2023] Zeqi Shen, Shuo Zhang*, Youfang Lin, Light Field Reflection and Background Separation Network Based on Adaptive Focus Selection [J], IEEE Transactions on Computational Imaging (TCI), 2023.
[TCI 2023] Xianglang Wang, Youfang Lin, Shuo Zhang*. Multi-Stream Progressive Restoration for Low-Light Light Field Enhancement and Denoising. IEEE Transactions on Computational Imaging (TCI), 2023.
[TIST 2023] Haomin Wen, Youfang Lin, Fan Wu, Huaiyu Wan*, Zhongxiang Sun, Tianyue Cai, Hongyu Liu, Shengnan Guo, Jianbing 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. [PDF]
[ACM Comput Surv 2023] Chen Chen, Gang Zhou, Youfang Lin, Cross-Domain WiFi Sensing with Channel State Information: A Survey, ACM Computing Surveys, 2023.
[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]
[TITS 2022] Yiji Zhao, Youfang Lin, Haomin 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), 2022.
[TVT 2022] Hengrui Zhang, Youfang Lin, Sheng Han, Kai Lv*. Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving. IEEE Transactions on Vehicular Technology (TVT), 2022.
[TIM 2022] Jing Wang, Shikuan Shao, Yunfei Bai, Jiaoxue Deng, Youfang Lin, Multi-Scale Wavelet Graph AutoEncoder for Multivariate Time Series Anomaly Detection. IEEE Transactions on Instrumentation & Measurement (TIM), 2022.
[TCI 2022] Yangling Chen, Shuo Zhang*, Song Chang, Youfang Lin, Light Field Reconstruction using Efficient Pseudo 4D Epipolar-Aware Structure [J], IEEE Transactions on Computational Imaging (TCI), 2022.
[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.
[TITS 2022] Yiji Zhao, Youfang Lin, Yongkai Zhang, Haomin 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. [PDF] [Code&Data]
[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, 2022. [PDF] [Code&Data]
[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, 2022. [PDF] [Code&Data] (★★★ ESI高被引论文 & 热点论文 ★★★)
[TNSRE 2021] Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman, Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021.
[TWEB 2021] Yiji Zhao, Youfang Lin, Zhihao Wu, Yang Wang, Haomin Wen, Context-aware Distance Measures for Dynamic Networks, ACM Transactions on the Web, 2021.
[TIP 2021] Shuo Zhang, Song Chang, Youfang Lin, End-to-End Light Field Spatial Super-Resolution Network using Multiple Epipolar Geometry, IEEE Transactions on Imaging Processing, 2021.
[TCI 2021] Shuo Zhang, Song Chang, Zeqi Shen, Youfang Lin*, Micro-lens Image Upsampling for Densely-Sampled Light Field Reconstruction , IEEE Transactions on Computational Imaging (TCI), 2021.
[TIST 2021] 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, 2021.
[SPL 2021] Weikun Wang, Youfang Lin, Shuo Zhang, Enhanced Spinning Parallelogram Operator Combining Color Constraint and Histogram Integration for Robust Light Field Depth Estimation, IEEE Signal Processing Letters, 2021.
[Neurocomputing 2021] Yunxiao Liu, Youfang Lin, Qinfeng Xiao, Ganghui Hu, Jing Wang*, Self-adversarial variational autoencoder with spectral residual for time series anomaly detection, Neurocomputing ,(2021).
[TAI 2020] Ziyu Jia; Xiyang Cai; Gaoxing Zheng; Jing Wang; Youfang Lin，SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging， IEEE Transactions on Artificial Intelligence，2020.
[PHYSA 2021] Yunxiao Liu, Youfang Lin, Ziyu Jia, Yan Ma, Jing Wang*, A new dissimilarity measure based on ordinal pattern for analyzing physiological signals, Physica A: Statistical Mechanics and its Applications. 2021.
[Entropy, 2021] Qinfeng Xiao, Jing Wang*, Youfang Lin, Wenbo Gongsa, Ganghui Hu, Menggang Li, Fang Wang. Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble[J]. Entropy, 2021
[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. [PDF] [Code] (★★★ ESI高被引论文 ★★★ )
[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.
[PRE 2020] Ziyu Jia, Youfang Lin, Yunxiao Liu, Zehui Jiao, and Jing Wang, Refined nonuniform embedding for coupling detection in multivariate time series, Physical Review E,101: 062113, 2020.
[Entropy 2019] Ziyu Jia, Youfang Lin, Zehui Jiao, Yan Ma, Jing Wang, Detecting Causality in Multivariate Time Series via Non-Uniform Embedding, Entropy, 21(12): 1233, 2019.
[CIE 2019] Ruyu Cui, Xingye Dong, Youfang Lin. Models for aircraft maintenance routing problem with consideration of remaining time and robustness[J]. Computers & Industrial Engineering, 2019.
[CMPB 2019] Lei Wang, Youfang Lin, Jing Wang, A RR interval based automated apnea detection approach using residual network. Computer methods and programs in biomedicine, 176 (2019): 93-104.
[PHYSA 2018] Zhihao Wu, Youfang Lin, Yiji Zhao, Hongyan Yan. Improving local clustering based top-L link prediction methods via asymmetric link clustering information. Physica A: Statistical Mechanics and its Applications, 2018, 492(15).
[PHYSA 2018] Yunxiao Liu, Youfang Lin, Jing Wang, Pengjian Shang. Refined generalized multiscale entropy analysis for physiological signals. Physica A: Statistical Mechanics and its Applications, 2018, 490(15).
[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, 452: 1-8.
[PHYSA 2016] Zhihao Wu, Youfang Lin, Jing Wang, Steve Gregory. Link prediction with node clustering coefficient. Physica A: Statistical Mechanics and its Applications, 2016, 452: 1-8.
[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.
[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.
[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.
[CIE 2015] Xingye Dong, Maciek Nowak, Ping Chen, Youfang Lin. Self-adaptive Perturbation and Multi-neighborhood Search for Iterated Local Search on the Permutation Flow Shop Problem. Computers and Industrial Engineering (CIE), 2015.
[PHYSA 2012] 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, 2012, 391(7): 2475-2490.
中文论文
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. [PDF]
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]
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. [PDF]
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]
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.
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, 2022.
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. [PDF]
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]
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]
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]
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]
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]
贾子钰; 林友芳; 张宏钧; 王晶, 基于深度卷积神经网络的睡眠分期模型, 浙江大学学报(工学版)， 2020.
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]
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]
张东雷, 万怀宇, 林友芳, 陆金梁, 马语丹. 在线技术社区的用户技能与兴趣发现.中文信息学报, 2018, 32(7). (会议最佳中文论文提名奖) [PDF]
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]
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. 中国科学: 信息科学, 2017, 47(8).
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).
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).
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). [PDF]
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.
专著/译著
编著，《交通大数据》，北京交通大学出版社，2021年
译著，《数据仓库》
参编，全国计算机等级考试四级教程-数据库工程师[M]。高等教育出版社，2007-09
译著，数据模型资源手册，卷2[M]。机械工业出版社，2004-08
译著，数据模型资源手册，卷1[M]。机械工业出版社，2004-06
参编，公安信息系统开发原理、方法与应用[M]。中国人民公安大学出版社，2004-02
社会兼职
中国计算机学会(CCF)高级会员
CCF大数据专家委员会执行委员
CCF-AI专委会执行委员
CCF智慧交通专委会执行委员
以上就是小编为大家分享的：“北京交通大学硕士研究生导师信息：林友芳”，更多研究生导师信息，欢迎继续浏览新东方在线研究生导师频道。