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李浥东
2023-05-06 10:40
  • 李浥东
  • 李浥东 - 教授-北京交通大学-计算机与信息技术学院-个人资料

近期热点

资料介绍

个人简历


教学工作

研究生指导(主/副导师):
在读博士研究生:
刘文华(2016级,深度学习、目标识别)
李慧芳(2017级,深度学习、目标检测与识别)
赵宏伟(2018级,计算机视觉、轨道交通智能检测)
章子凯(2018级,信息安全、智能交通控制)
崔文军(2019级,深度学习计算理论)
在读硕士研究生:
2017级:林伟鹏,林雅婷,万群,岳珂,赵风萍
2018级:刘凯,罗瑞琪,王飞,汪静怡,张元瀚,党正午,杨宇馨
2019级:陈昕艺,韩秋锟,韩瑜珊,贾文博,聂倩倩,王宁
已毕业研究生:
2011级:温伟(就职于SAP),陈蕊(就职于中国人民银行、国家奖学金获得者),张丹丹(就职于航天三院、国家奖学金获得者),赵丽敏(就职于中国银行、国家奖学金获得者),徐群群(就职于北京交通大学),范宗勤(就职于SAP)
2013级:李越川(就职于阿里巴巴、国家奖学金获得者、校优秀硕士论文)
2014级:李慧芳(攻读博士学位、国家奖学金获得者、校优秀硕士论文),储丹丹(就职于Google总部、国家奖学金获得者),雷文瑾(就职于中国航信),刘鹏(就职于中国移动研究院)
2015级:贾延昆(就职于中国建设银行总部,院优秀硕士论文),阿雨萌(就职于北京信息科技大学,国家奖学金获得者、校优秀毕业生), 赵爱蛟(就职于中国光大银行)
2016级:安书山(就职于中国银行),董雅茹(就职于公安部第一研究所,北京市优秀毕业生),李秋柠(就职于百度),王珊(就职于中国软件与技术服务有限公司),徐晓林(就职于联想,院优秀硕士论文),岳嵘(就职于中国农业银行),郭星妍(就职于小米),王晓春(就职于中国电子技术标准化研究院),马聪
2017级:禤伟峰
研究生教学:
《SAP工程原理与技术》(2012-今),#24002543
《SAP应用与企业实践》(2012-今),#22002305,24002542
《智慧计算前沿技术》(2012),#14002330
《高级并行与分布式计算》(2011),#12002302
本科生教学:
《大数据技术》(2019-今)
《IT职业英语》(2014-2017)
《大学生计算机基础》(2012),#85L067T
《Distributed Database and Data Mining》(2010),阿德莱德大学
教育背景
2003年本科毕业于北京交通大学信息与通信工程系。2006年和2011年在澳大利亚阿德莱德大学计算机系分别获得硕士和博士学位。研究方向主要在大数据分析与安全、人工智能、云计算与高性能计算、智能交通等。已在国际主要学术期刊(包括IEEE Trans. on Information Forensics & Security、IEEE Trans. on Intelligent Transportation Systems、IEEE Trans. on Knowledge & Data Engineering等)和领域顶级会议(包括SIGKDD、AAAI、CVPR、ECCV等)发表学术论文100余篇。曾主持/参与包括国家自然科学基金、国家“863”、教育部创新团队、澳大利亚国家自然科学基金、国家电网、中航集团等在内的30余项科研项目。任中国计算机学会理事、杰出会员、YOCSEF副主席(2019-2021)、大数据专家委员会委员、高性能计算专业委员会委员,中国自动化学会控制理论专业委员会副秘书长、大数据专委会委员、平行智能专委会委员,中国铁道学会信息化委员会委员、智能交通专家组副组长。曾担任多个国际会议的程序委员会主席、分会主席、程序委员会委员。获北京市科学技术进步奖二等奖、中国自动化学会科学技术进步奖一等奖、詹天佑铁道科学技术奖专项奖,以及IEEE国际会议最佳论文奖等。
工作经历
2019.01 - 至今 北京交通大学,计算机与信息技术学院,教授
2016.09 - 至今 北京交通大学,计算机与信息技术学院,副院长
2015.01 - 2018.12 北京交通大学,计算机与信息技术学院,副教授
2011.01 - 2014.12 北京交通大学,计算机与信息技术学院,讲师
2018.09 - 至今 智能交通数据安全与隐私保护北京市重点实验室,副主任
2013.11 - 至今 SAP大学能力中心(中国),主任

研究领域


高性能计算
人工智能及应用
计算机技术(专业学位)
软件工程(专业学位)
人工智能技术(专业学位)
应用安全"专利
1. 基于图像和文本语义相似度的图像语义消歧方法和装置

近期论文


论文/期刊
近年主要发表论文(期刊):
Wei Wang, Jingjing Song, Guangguan Xu, Yidong Li*, Hao Wang, Chunhua Su: ContractWard: Automated Vulnerability Detection Models for Ethereum Smart Contracts. IEEE Transactions on Network Science and Engineering (2020). (accepted)
Yi Jin, Xingyan Guo, Yidong Li*, Junliang Xing, Hui Tian: Towards Stabilizing Facial Landmark Detection and Tracking via Hierarchical Filtering: A new method. Journal of the Franklin Institute (2020). (accepted)
Wei Wang, Yaoyao Shang, Yongzhong He, Yidong Li*, Jiqiang Liu: BotMark: Automated botnet detection with hybrid analysis of flow-based and graph-based traffic behaviors. Information Sciences 511: 284-296 (2020). (accepted)
Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang: HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization. ACM Transactions on Intelligent Systems and Technology (2020). (accepted)
Hairong Dong, Shigen Gao, Bin Ning, Tao Tang, Yidong Li, Kimom P. Valavannis: Error-driven nonlinear feedback design for fuzzy adaptive dynamics surface control of nonlinear systems with prescribed tracking performance. IEEE Transactions on Systems, Man and Cybernetics: Systems 50(3): 1013-1023 (2020).
刘凯,李浥东*,林伟鹏:车辆再识别技术综述。智能科学与技术学报(2020)。(已接收)
刘文华,李浥东*:高层语义表达下的复杂交通场景识别。智能科学与技术学报 1(4):392-399(2019)
Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li: GM-PLL: Graph Matching based Partial Label Learning. IEEE Transactions on Knowledge and Data Engineering (2019). (accepted)
Zun Li, Congyan Lang, Jiashi Feng, Yidong Li, Tao Wang, Songhe Feng: Co-saliency Detection with Graph Matching. ACM Transactions on Intelligent Systems and Technology 10(3): 22:1-22:22 (2019).
Wenhua Liu, Yidong Li*, Qi Wu. An Attribute-based High-level Image Representation for Scene Classification. IEEE Access 7: 4629-4640 (2019).
Huifang Li,Yidong Li*, Junliang Xing, Hairong Dong: Spatial alignment network for facial landmark localization. World Wide Web 22(4): 1481-1498 (2019).
Hairong Dong, Hainan Zhu, Yidong Li, Yisheng Lv, Shigen Gao, Qi Zhang, Bin Ning: Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling. IEEE Transactions on Cybernetics 48(12): 3381-3389 (2018).
Wei Wang, Zhenzhen Gao, Meichen Zhao, Yidong Li*, Jiqiang Liu, Xiangliang Zhang: DroidEnsemble: Detecting Android Malicious Applications With Ensemble of String and Structural Static Features. IEEE Access 6: 31798-31807 (2018).
Qiuning Li, Yidong Li*, Congyan Lang: Salient Object Detection with Side Information. SCIENCE CHINA Information Sciences: 56-61 (2018).
Xiaochun Wang, Yidong Li*: Geo-social Network Publication Based on Difierential Privacy. Frontiers of Computer Science 12: 1264-1266 (2018).
Yidong Li*, Wenhua Liu, Yankun Jia,Hairong Dong:An Mutual Information Weighted Biclustering Algorithm for Gene Expression Data. Computer Science and Information Systems14(3) (2017).
Huifang Li, Yidong Li*, Hairong Dong:A Comprehensive Learning-Based Model for Power Load Forecasting in Smart Grid. Computing and Informatics 36(2): 470-492 (2017).
Yidong Li*, Hong Shen, Congyan Lang, Hairong Dong:Practical Anonymity Models on Protecting Private Weighted Graphs. Neurocomputing 218: 359-370 (2016).
Yuechuan Li, Yidong Li*, Guandong Xu:Protecting Private Geosocial Networks against Practical Hybrid Attacks with Heterogeneous Information. Neurocomputing 210: 81-90(2016).
Yidong Li,Dewang Chen. A Learning-Based Comprehensive Evaluation Model for Traffic Data Quality in Intelligent Transportation Systems. Multimedia Tools and Applications 75(19): 11683–11698(2016).
Ping He, Hong Shen, Longkun Guo, Yidong Li:Efficient Data Retrieval Algorithms for Multiple Requests In MIMO Wireless Networks. Internatioanl Journal of Communication Systems 30(1) (2017).
Jiateng Yin, Dewang Chen, Yidong Li:Smart Train Operation Algorithms based on Expert Knowledge and Ensemble CART for The Electric Locomotive. Knowledge-Based Systems 92: 78-91, 2016.
Ping He, Hong Shen, Yidong Li:Tree-Based Data Retrieval Algorithm for Multi-Item Request with Deadline in Wireless Networks. Peer-to-Peer Networking and Applications 9(1): 92-107(2016).
25. Chang Yang, Chengyin Liu, Ning Wu, Xiang Wu, Yidong Li, Zhiying Wang:Collaborative Representation with Reduced Residual for Face Recognition. Neural Computing and Applications 25(7-8): 1741-1754 (2014).
Aysha Al-Hinai, Haibo Zhang, Yawen Chen, Yidong Li:TB-Snw: Trust-Based Spray-and-wait Routing for Delay-tolerant Networks. Journal of Supercomputing 69(2):593-609 (2014).
Yidong Li, Hong Shen. On Identity Disclosure Control for Hypergraph-based Data Publishing. IEEE Transactions on Information Forensics & Security: 8(8): 1384-1396 (2013).
Dewang Chen, Rong Chen, Yidong Liand Tao Tang. Online-learning Algorithms for Train Automatic Stop Control at Station Using Precise Location Information of Balises. IEEE Transactions on Intelligent Transportation Systems14(3): 1526-1535 (2013).
Jun Wu, Hong Shen, Yidong Li, Zhi-Bo Xiao, Ming-Yu Lu, Chun-Li Wang: Learning a Hybrid Similarity Measure for Image Retrieval. Pattern Recognition 46(11): 2927-2939 (2013).
近年主要发表论文(会议):
Tao Wang, He Liu, Yidong Li,Yi Jin, Xiaohui Hou, Haibin Ling. Learning Combinatorial Solver for Graph Matching. CVPR 2020.
Yangru Huang, Yi Jin, Yidong Li. Domain Adaptive Attention Learning for Unsupervised Person Re-Identification. AAAI 2020.
Weipeng Lin, Yidong Li, Xiaoliang Yang, Peixi Peng, Junliang Xing: Multi-View Learning for Vehicle Re-Identification. ICME 2019: 832-837.
Yue Ke, Yidong Li, Huifang Li, Progressive Semantic Image Synthesis via Generative Adversarial Network.VCIP 2019, December 1-4, 2019, Sydney, Australia.
Wenjun Cui, Yidong Li: Infifinite propagation speed for a two-component Camassa-Holm equation. PDCAT 2019. December 5-7, 2019, Gold Coast, Australia.
Zikai Zhang, Yidong Li, Hairong Dong,Fengping Zhao, Yizhe You: Attention-based Supply-Demand Prediction for Autonomous Vehicles. PDCAT 2019. December 5-7, 2019, Gold Coast, Australia.
Yating Lin, Yidong Li, Haidong Cui, Zheng Feng: WeaGAN:Generative Adversarial Network for Weather Translation of Image among Multi-domain. BESC 2019, October 28-30, 2019, Beijing, China.
Qun Wan, Yidong Li, Haidong Cui, Zheng Feng: 3D-Mask-GAN:Unsupervised Single-View 3D Object Reconstruction. BESC 2019, October 28-30, 2019, Beijing, China.
Xingyan Guo, Yi Jin, Yidong Li, Junliang Xing, Congyan Lang: Stabilizing video facial landmark detection and tracking via global and local filtering. ICIMCS 2018: 20:1-20:7.
Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li: Constrained Confidence Matching for Planar Object Tracking. ICRA 2018: 659-666.
Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang: Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. PAKDD(2) 2018: 222-234.
Xiaolin Xu, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng, Tao Wang: Hierarchical Discriminant Feature Learning for Heterogeneous Face Recognition. VCIP 2018: 1-4.
Shan Wang, Yidong Li and Wenhua Liu: Multi-class Weather Classification Fusing Weather Dataset and Image Features. CCBD 2018. October11-13, 2018, Xi’an, China.
Qiuning Li and Yidong Li: Saliency Detection with Side Information on Railway Transportation Dataset. ICIRT 2018. December12-14, 2018, Marina Bay Sands, Singapore.
Si-Yu Guo, Songhe Feng, Yidong Li, Shushan An, Hairong Dong: Integrating Diversity into Neural-Network-Based Face Deidentification. CCC 2018. July 25-27, 2018, Wuhan, China.
Huifang Li, Yidong Li, Wenhua Liu, Hairong Dong: Coarse-to-fine facial landmarks localization based on convolutional feature. BESC 2017: 1-6. (Best Paper Awards)
Wenjin Lei, Yidong Li, Yingpeng Sang, Hong Shen: A Secure Anonymous Authentication Scheme for Electronic Medical Records Systems. ICEBE2016: 48-55.
Peng Liu, Yidong Li, Yingpeng Sang, Ji Zhang: Anonymity-Based Privacy Preserving Network Data Publication. Trustcom 2016: 823-828.
Yidong Li, Xiangjun Meng, Hairong Dong: A Simulated Annealing Combined Genetic Algorithm for Virtual Machine Migration in Cloud Datacenters. PICom 2016: 572-577.
Yuechuan Li, Yidong Li: On Preserving Private Geosocial Networks against Practical Attacks. IIH-MSP 2015: 417-420.
Dandan Zhang, Hong Shen, Hui Tian, Yidong Li, Jun Wu, Yingpeng Sang: A Selectively Re-train Approach Based on Clustering to Classify Concept-Drifting Data Streams with Skewed Distribution. PAKDD(2) 2014: 413-424.
Dandan Chu, Yidong Li, Tao Wang, Lei Zhang, Hong Shen: Practical Anonymization for Protecting Privacy in Combinatorial Maps. PDCAT 2014: 119-123.
Jun Wu, Yidong Li, Songhe Feng, Hong Shen: A Self-immunizing Manifold Ranking for Image Retrieval. PAKDD(2) 2013: 426-436.
Yidong Li, Hong Shen: Towards Identity Disclosure Control in Private Hypergraph Publishing. PAKDD(2) 2012: 347-358.
Yidong Li, Hong Shen: Multivariate Equi-width Data Swapping for Private Data Publication. PAKDD(1) 2010: 208-215.


专著/译著
《会计信息系统——基于SAP公司ERP系统》,主编:李翠红、李浥东、孟浩
《SAP会计信息系统》,主编:李翠红、孟浩,副主编:李浥东、刘鹏,董明明
中国计算机学会理事、杰出会员,大数据专家委员会委员、高性能计算专业委员会委员
中国计算机学会青年科学家论坛(YOCSEF)学术委员、学术秘书(2018–2019)、副主席(2019-2021)
中国自动化学会控制理论专业委员会副秘书长、委员,大数据专委会委员、平行智能专委会委员
中国指挥与控制学会安全应急共享知识专业委员会委员
中国铁道学会信息化委员会委员,智能交通专家组副组长
中国自动化学会(CAA)会员(No. 31421S,2017-今)
国际电气电子工程师学会(IEEE)高级会员
美国计算机协会(ACM)会员
IEEE BESC国际会议大会主席(2019)、Track主席(2018)、程序委员会委员
IEEE DANTH国际会议 程序委员会联合主席(2013)
IEEE IIH-MSP国际会议 程序委员会联合主席(2015)
PAKDD、PDCAT、PAAP、ICIRT、PICOM等国际会议程序委员会委员
Associate Editor, Journal of Intelligent Science and Technology (in Chinese),智能科学与技术学报
Review Editor, Frontiers in Big Data and AI
Review Editor, World Wide Web Journal
Review Editor, Journal of Supercomputing
Guest Editor, IEEE Transactions on Intelligent Transportation Systems

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