王涛

博士、副教授

基本信息

办公电话:51688566 电子邮件: twang@bjtu.edu.cn
通讯地址:北京交通大学计算机学院九教北525 邮编:100044

教育背景


2004年毕业于北京交通大学,获计算机应用技术专业硕士学位。后进入北京交通大学计算机与信息技术学院从事教学与科研工作,2007年起在职攻读博士研究生,2013年获计算机科学与技术专业博士学位。

目前主要研究方向为计算机视觉和机器学习。

主持和参与包括国家自然科学基金项目在内的科研项目20余项。

在IEEE Trans. on PAMI, IEEE Trans. on Multimedia, IEEE Trans. on KDE等领域内顶级学术期刊, 以及ICCV, ECCV, AAAI等国际会议发表论文30余篇。

工作经历

2016.12~至今, 北京交通大学计算机学院,副教授,博士生导师

2014.12~2015.12, 美国天普大学,访问学者

2006.12~2016.12, 北京交通大学计算机学院,讲师



研究方向

  • 机器学习与认知计算
  • 人工智能及应用
  • 计算机技术
  • 软件工程
  • 人工智能
  • 网络与信息安全

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
  • 计算机科学与技术博士
  • 网络与信息安全硕士

科研项目

  1. 国家自然科学基金"面上项目":面向关系推理的图神经网络关键问题研究,2021-01-01--2024-12-31,主持

  2. 国家自然科学基金"面上项目":基于多模态超图的社群图像检索研究,2017-01-01--2020-12-31,主持

  3. 国家自然科学基金"青年项目":基于组合地图模型的图像检索算法研究,2014-01-01--2016-12-31,主持

  4. 北京市自然科学基金“面上项目”:面向关系推理的深度神经网络模型及算法研究,2020-01-01--2022-12-31,主持

  5. 基本科研业务费:面向AR的高精度目标跟踪技术研究,2018-41-01--2020-3-30,主持

  6. 横向项目:视频监控智能分析技术,2016-05-01--2016-12-31,主持

  7. 基本科研业务费:基于内容安全的视频分析技术,2015-01-01--2016-12-31,主持

  8. 基本科研业务费:基于组合地图的图像匹配与检索算法研究,2012-03-01--2014-02-28,主持

  9. 国家(工信部等)专项:2019年工业互联网创新发展工程-工业企业侧安全数据采集设备,2019-08-01--2021-07-31,参加

  10. 国家重点研发计划-课题:异构交通主体群体智能协同行为仿真分析与评估,2019-03-01--2021-12-31,参加

  11. 国家重点研发计划-任务:社区基础数据采集、处理、应用、共享技术,2018-07-01--2021-06-30,参加

  12. 国家自然科学基金“面上”:基于群智的开放式数据集成与分析技术研究,2014-01-01--2017-12-31,参加

  13. 国家自然科学基金“面上”:自主虚拟人智能感知决策与真实感交互表现研究,2014-01-01--2017-12-31,参加

  14. 国家自然科学基金“面上”:基于上下文感知的互联网社群图像语义理解,2013-01-01--2016-12-31,参加

  15. 国家自然科学基金"青年基金":基于视觉认知理论的图像层次化语义理解研究(自然基金),2012-01-01--2014-12-31,参加

教学工作

《面向对象程序设计与C++》课程负责人,长期给本科生讲授该课程。

给本专业研究生讲授《机器视觉基础》课程。

论文/期刊

2021:

[1] Z Li, C Lang, T Wang, Y Li, J Feng. Deep spatio-frequency saliency detection. Neurocomputing, 2021, 453:645-655.

[2] G Lyu, S Feng, Y Jin, T Wang, C Lang, Y Li. Prior Knowledge Regularized Self-Representation Model for Partial Multilabel Learning. IEEE Transactions on Cybernetics, 2021.

[3] G Zhao, T Wang, Y Li, C Lang. Entropy-aware Self-training for Graph Convolutional Networks. Neurocomputing, 2021.

[4] Z Xu, L Wei, C Lang, S Feng, T Wang, AG Bors. HSS-GCN: A Hierarchical Spatial Structural Graph Convolutional Network for Vehicle Re-identification. ICPR, 2021.

[5] M Wang, C Lang, L Liang, G Lyu, S Feng, T Wang. Class-balanced Text to Image Synthesis with Attentive Generative Adversarial Network. IEEE MultiMedia, 2021.

[6] M Wang, C Lang, S Feng, T Wang, Y Jin, Y Li. Text to photo-realistic image synthesis via chained deep recurrent generative adversarial network. Journal of Visual Communication and Image Representation, 2021.


2020:

[1] T Wang, H Liu, Y Li, Y Jin, H Ling*. Learning Combinatorial Solver for Graph Matching. CVPR, 2020. (oral)

[2] G Lyu, S Feng, T Wang, C Lang. A Self-Paced Regularization Framework for Partial-Label Learning. IEEE Transactions on Cybernetics, 2020.

[3] M Wang, C Lang, L Liang, S Feng, T Wang, Y Gao. End-to-End Text-to-Image Synthesis with Spatial Constrains. ACM Transactions on Intelligent Systems and Technology (TIST), 2020, 11(4):1-19.

[4] M Wang, C Lang, L Liang, G Lyu, S Feng, T Wang. Attentive Generative Adversarial Network To Bridge Multi-Domain Gap For Image Synthesis. ICME, 2020, pp. 1-6.

[5] Z Li, Y Jin, Y Li, C Lang, S Feng, T Wang. Learning part-alignment feature for person re-identification with spatial-temporal-based re-ranking method. World Wide Web, 23(3):1907-1923.

[6] Y Li, K Liu, Y Jin, T Wang, W Lin. VARID: Viewpoint-aware re-identification of vehicle based on triplet loss. IEEE Transactions on Intelligent Transportation Systems. 2020.

[7] T Liang, Y Jin, Y Li, T Wang. EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising. ICSP, 2020.


2019:

[1] T Wang, H Ling*, C Lang and S Feng. Deformable Surface Tracking by Graph Matching. ICCV, 2019.

[2] L Sun, S Feng, T Wang, C Lang and Y Jin.  Partial Multi-Label Learning by Low-Rank and Sparse Decomposition.  AAAI, 2019.

[3] G Lyu, S Feng, T Wang*, C Lang, Y Li. GM-PLL: Graph Matching based Partial Label Learning. IEEE Trans. on KDE, 2019. (online avaliable)

[4] Z Li, C Lang, J Feng, Y Li, T Wang, S Feng. Co-saliency Detection with Graph Matching, ACM Trans. on TIST, 10(3): 22-30. 2019.

[5] M Yin, C Lang, Z Li, S Feng, T Wang. Recurrent convolutional network for video-based smoke detection, Multimedia Tools and Applications, 78(1):237-256, 2019.

[6] C Qian, Y Jin, Y Li, C Lang, S Feng, T Wang. Deep Domain Adaptation for Asian Face Recognition via Ada-IBN. ICMEW, 2019.

[7] Z Li, Y Jin, Y Li, C Lang, S Feng, T Wang. Learning part-alignment feature for person re-identification with spatial-temporal-based re-ranking method. WWW, 2019.

[8] J Zhou, T Wang, Y Jin. The hypergraph matching based on CCRP.  BESC, 2019.


2018:

[1] T Wang, H Ling*. Gracker: A Graph-based Planar Object Tracker. IEEE Trans. on PAMI. 40(6):1494-1501, 2018.

[2] T Wang, H Ling*, C Lang and S Feng. Branching and Adaptive Path Following for Graph Matching. IEEE Trans. on PAMI.  40(12):2853-2867, 2018.

[3] T Wang, H Ling*, C Lang and S Feng. Constrained confidence matching for planar object tracking. ICRA, 2018. 

[4] J Zhou, T Wang*, C Lang, S Feng, Y Jin.  A novel hypergraph matching algorithm based on tensor refining. Journal of Visual Communication and Image Representation, 57:69-75, 2018. 

[5] S Xu, T Wang*, C Lang, S Feng, Y Jin. Graph-based visual odometry for VSLAM. Industrial Robot: An International Journal, 45(5):679-687, 2018. 

[6] Z Li, C Lang, S Feng, T Wang. Saliency ranker: A new salient object detection method. Journal of Visual Communication and Image Representation, 50:16-26, 2018. 

[7] D Xu, C Lang, S Feng, T Wang. A framework with a multi-task CNN model joint with a re-ranking method for vehicle re-identification. ICIMCS, 2018.

[8] K Yu, C Lang, S Feng, T Wang. Reasonably assign label distributions to GAN images in person re-identification baseline. BigMM, 2018. 

[9] X Xu, Y Li, Y Jin, C Lang, S Feng, T Wang. Hierarchical Discriminant Feature Learning for Heterogeneous Face Recoginition. VCIP, 2018.


2017:

[1] S Feng, C Lang, J Feng, T Wang, J Luo. Human facial age estimation by cost-sensitive label ranking and trace norm regularization, IEEE Transactions on Multimedia, 19(1):136-148, 2017.

[2] R Chen, C Lang, T Wang*. Multiple path exploration for graph matching, Machine Vision and Applications, 28(7): 695-703, 2017.

[3] Y Chen, T Wang*. Recursive formulas for embedding distributions of cubic outerplanar graphs, Australasian Journal of Combinatorics, 68(1):131-146, 2017.


2016:

[1] Tao Wang*, Haibin Ling, Congyan Lang, Jun Wu. Branching path following for graph matching. ECCV, 2016.

[2] Tao Wang*, Haibin Ling. Path following with adaptive path estimation for graph matching. AAAI, 2016.

[3] Tao Wang*, Haibin Ling, Congyan Lang, Songhe Feng. Symmetry-aware graph matching. Pattern Recognition, 60: 657-668, 2016.

[4] Zhu Teng, Tao Wang, Feng Liu, et al., From samples selection to model update: A robust online visual tracking algorithm against. Neurocomputing. 173: 1221-1234, 2016.


Earlier:

[1]. Tao Wang*, Guojun Dai, Bingbing Ni, D. Xu. A distance measure between labeled combinatorial maps. Computer Vision and Image Understanding. 116(6): 1168-1177, 2012.

[2]. Tao Wang*, Hua Yang, Congyan Lang, S. Feng. An error-tolerant approximate matching algorithm for labeled combinatorial maps. Neurocomputing. 156: 211-220, 2015. 

[3]. Tao Wang*, Guojun Dai, De Xu. A polynomial algorithm for submap isomorphism of general maps. Pattern Recognition Letters. 32(8): 1100-1107, 2011.

[4]. Tao Wang*, Yanpei Liu. Implements of some new algorithms for combinatorial maps. OR Transactions. 12(2): 58-66, 2008.

[5]. Tao Wang*, Congyan Lang, Songhe Feng. Joint tree of combinatorial maps. PAKDD 2014.

[6]. Tao Wang*, Weisheng Li. Fast low-cost shortest path tree algorithm. Journal of Software. 15(2): 660-665, 2004.

[7]. Tao Wang*, Weisheng Li. Shortest path subgraph. Journal of Northern Jiaotong University. 28(2):46-49, 2004.

[8]. Yichao Chen, Yanpei Liu, Tao Wang. The Total Embedding Distributions of Cacti and Necklaces. Acta Mathematica Sinica, English Series. Vol. 22, no. 5, pp. 1583-1590, 2006.

[9]. Shu Liu, Weisheng Li, Tao Wang. Advanced algorithm for fast lower-cost shortest path tree. Journal of Electronics and Information Technology. Vol. 27, no. 4, pp. 638-641, 2005.

 


专著/译著

专利

[1]. 王涛, 须德, 郎从妍. 一种动态复杂背景下的实时运动目标检测方法和装置. 发明专利, 授权号: 200910084007.5.

软件著作权

获奖与荣誉

2020年CCF科学技术奖科技进步优秀奖

社会兼职

担任中国图象图形学会交通视频专业委员会委员、中国指挥与控制学会智能指挥与控制工程专业委员会委员。

多次担任AAAIIJCAICPHS等国际会议程序委员会委员,IEEE TPAMITMMTIPPR等领域顶级期刊及CVPRICCVECCV等领域顶级会议审稿人。