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王骏

澳门新葡亰平台官网      

个人资料

  • 部门: 澳门新葡亰平台官网
  • 毕业院校:
  • 学位:
  • 学历:
  • 邮编:
  • 联系电话: 021-62233566
  • 传真:
  • 电子邮箱: jwang@sei.ecnu.edu.cn
  • 办公地址: 理科大楼B1707
  • 通讯地址: 上海市普陀区中山北路3663号华东师范大学计算机科学与软件工程学院数据科学与工程系

教育经历

工作经历

个人简介

社会兼职

IEEE Computer Society会员。
在以下国际会议担任程序委员会委员:
NIPS 2014
ICML 2014
CVPR 2014, 2013, 2012, 2011,
ICCV 2013, 2011
ACM MM 2013, 2012, 2011
AAAI 2012
ICME 2012,

以下期刊同行评审:
IEEE Trans. on PAMI
IEEE Trans. on Knowledge and Data Engineering
IEEE Trans. on Image Processing
Journal of Machine Learning Research
Machine Learning
Proc. of the IEEE
IEEE Trans. on CSVT
IEEE Trans. on Multimedia
IEEE Multimedia Magazine

研究方向

机器学习,计算机视觉

开授课程

科研项目

学术成果

发表学术论文80余篇。部分代表性论文、论著包括:

 

Journals

  1. Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang. Learning to Hash for Indexing Big Data - A Survey. Proceedings of the IEEE, 104(1):34-57, 2016. 

  2. David C Jangraw, Jun Wang, Brent J Lance, Shih-Fu Chang. Neurally and Ocularly Informed Graph-based Models for Searching 3D Environments. Journal of Neural Engineering, August 2014. 

  3. Yu-Gang Jiang, Jun Wang, Xiangyang Xue, Shih-Fu Chang. Query-Adaptive Image Search with Hash Codes. IEEE Transactions on Multimedia, 15(2):442-453, 2013. 

  4. Jun Wang, Tony Jebara, Shih-Fu Chang. Semi-Supervised Learning Using Greedy Max-Cut. Journal of Machine Learning Research, 14:729-758, March 2013. 

  5. Wei Liu, Jun Wang, Shih-Fu Chang. Robust and Scalable Graph-Based Semisupervised Learning. Proceedings of the IEEE, 2012. 

  6. Yu-Gang Jiang, Qi Dai, Jun Wang, Chong-Wah Ngo, Xiangyang Xue, Shih-Fu Chang. Fast Semantic Diffusion for Large Scale Context-Based Image and Video Annotation. IEEE Transactions on Image Processing, 21:3080-3091, 2012. 

  7. Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Semi-Supervised Hashing for Large Scale Search. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2012. 

  8. Eric A Pohlmeyer, Jun Wang, David C Jangraw, Bin Lou, Shih-Fu Chang, Paul Sajda. Closing the loop in cortically-coupled computer vision: a brain-computer interface for searching image databases. Journal of Neural Engineering, 8, 2011. 

  9. Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforou Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh K. Singh, Shih-Fu Chang. In a Blink of an Eye and a Switch of a transistor: Cortically Coupled Computer Vision. Proceedings of the IEEE, 98(3):462-478, 2010. 

  10. Xiaobo Zhou, Honghui Wang, Jun Wang, Yue Wang, Gerard Hoehn, Joseph Azok, Marie-Luise Brennan, Stanley L. Hazen, King and Chang, Shih-Fu Li, Stephen T. C. Wong. Identification of biomarkers for risk stratification of cardiovascular events using genetic algorithm with recursive local floating search. Proteomics, 9(8), 2009. 

  11. Jun Wang, Xiaobo Zhou, Fuhai Li, Shih-Fu Chang, Norbert Perrimon, Stephen T. C. Wong Pamela L. Bradley. An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling. Journal of Biomedical Informatics, 42(1):32-40, 2009. 

  12. Jun Wang, Xiaobo Zhou, Pamela L. Bradley, Shih-Fu Chang, Norbert Perrimon, Stephen T.C. Wong. Cellular Phenotype Recognition for High-Content RNAi Genome-Wide Screening. Journal of Biomolecular Screening, 13(1):29-39, February 2008. 

Book Chapters

  1. Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang. Cortically-Coupled Computer Vision. In Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction, Desney S. Tan, Anton Nijholt (eds.), Elsevier, 2010. 

Conferences

  1. Yan Wang, Jie Feng, Zhixiang Wu, Jun Wang, Shih-Fu Chang. From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields. In European Conference on Computer Vision (ECCV), September 2014. 

  2. Guangnan Ye, Dong Liu, Jun Wang, Shih-Fu Chang. Large-Scale Video Hashing via Structure Learning. In International Conference on Computer Vision (ICCV), 2013. 

  3. Wei Liu, Jun Wang, Yadong Mu, Sanjiv and Chang, Shih-Fu Kumar. Compact Hyperplane Hashing with Bilinear Functions. In International Conference on Machine Learning (ICML), Edinburgh, Scotland, 2012. 

  4. Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang. Supervised Hashing with Kernels. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (Oral session), 2012. 

  5. Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Hashing with Graphs. In International Conference on Machine Learning (ICML), Bellevue, WA, USA, 2011. 

  6. Yu-Gang Jiang, Jun Wang, Shih-Fu Chang. Lost in Binarization: Query-Adaptive Ranking for Similar Image Search with Compact Codes. In Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), oral session, 2011. 

  7. Eric Pohlmeyer, David Jangraw, Jun Wang, Shih-Fu Chang, Paul Sajda. Combining Computer and Human Vision into a BCI: Can the Whole Be Greater Than the Sum of Its Parts?. In The 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, August 2010. 

  8. Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Sequential Projection Learning for Hashing with Compact Codes. In International Conference on Machine Learning (ICML), Haifa, Israel, June 2010. 

  9. Jun Wang, Sanjiv Kumar, Shih-Fu Chang. Semi-Supervised Hashing for Scalable Image Retrieval. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, June 2010. 

  10. Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Wanlei Zhao, Yang Liu, Jun Wang, Shiai Zhu, Shih-Fu Chang. VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection. In NIST TRECVID Workshop, Gaithersburg, MD, November 2009. 

  11. Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang Jiang, Paul Sajda, Shih-Fu Chang. Brain State Decoding for Rapid Image Retrieval. In Proceeding of the ACM international conference on Multimedia (ACM MM), October 2009. 

  12. Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah Ngo. Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation. In International Conference on Computer Vision (ICCV), Kyoto, Janpan, September 2009. 

  13. Tony Jebara, Jun Wang, Shih-Fu Chang. Graph Construction and b-Matching for Semi-Supervised Learning. In International Conference on Machine Learning (ICML), Montreal, Canada, June 2009. 

  14. Jun Wang, Yu-Gang Jiang, Shih-Fu Chang. Label Diagnosis through Self Tuning for Web Image Search. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami Beach, Florida, USA, June 2009.

  15. Jun Wang, Tony Jebara, Shih-Fu Chang. Graph Transduction via Alternating Minimization. In International Conference on Machine Learning (ICML), Helsinki, Finland, July 2008

  16. Jun Wang, Shih-Fu Chang, Xiabo Zhou, T. C. Stephen Wong. Active Microscopic Cellular Image Annotation by Superposable Graph Transduction with Imbalanced Labels. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, June 2008. 

  17. Jun Wang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Shih-Fu Chang, Stephen T. C. Wong. Dynamic local tracing for 3D axon curvilinear structure detection from microscopic image stack. In IEEE International Symposium of Biomedical Imaging (ISBI), Washington D. C, USA, April 2007. 

Technical Reports

  1. Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang. Learning to Hash for Indexing Big Data - A Survey. Research Report arXiv preprint, arXiv:1509.05472, 2015, 2015. 

  2. Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang. Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. Research Report arXiv preprint arXiv:1502.07209, 2015.

  3. Yan Wang, Jue Wang, Shih-Fu Chang. CamSwarm: Instantaneous Smartphone Camera Arrays for Collaborative Photography. Research Report arXiv preprint arXiv:1507.01148, 2015. 

  4. Jun Wang, Shih-Fu Chang. Columbia TAG System - Transductive Annotation by Graph Version 1.0. ADVENT Technical Report #225-2008-3 Columbia University, October 2008. 

Thesis

  1. Jun Wang. Semi-Supervised Learning for Scalable and Robust Visual Search. PhD Thesis Graduate School of Arts and Sciences, Columbia University, 2011. 

 

荣誉及奖励

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