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Qilin Zhang

Ph.D. candidate in Computer Science
Stevens Institute of Technology
Hoboken, New Jersey, USA

  Hoboken, NJ Chicago, IL

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This homepage serves as a time machine which reminds me of my good old days as a Ph.D. student in Computer Science at Stevens Institute of Technology, under the supervision of Dr. Gang Hua. Prof. Hua offered me both valuable research opportunities and priceless guidance in computer vision research. My research and working areas include computer vision, machine learning (including deep learning), signal processing, practical optimization and data analytics.

Thanks to Prof. Hua’s support and valuable help from faculty members such as Prof. Philippos Mordohai, I graduated from the Ph.D. program in the summer of 2016. The four years I spent at the Vision Lab would surely be among the most unforgettable time in my life. I often misses my old friends, including Haoxiang Li, Changjiang Cai, Le Wang, Lingyan Ran, Min Zheng, Yuxiao(James) Huang, Chengjiang Long, Mohammed Kutbi, and others.

Prior to attending Stevens, I received my Bachelor of Engineering from University of Science and Technology of China and my Master of Science from University of Florida.

After I graduated from Stevens in 2016, I joined HERE Technologies in Chicago, Illinois, as a Senior Research Engineer in the Highly Automated Driving (HAD) team of the Automotive Division. We are consistently building and perfecting deep neural network based automated map building algorithms, to enable autonomous driving with our super high definition 3D maps. HERE’s map is currently in use by major German luxury car manufacturers.

Publications: (Google Scholar)

A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features
Lingyan Ran, Yanning Zhang, Wei Wei and Qilin Zhang
Sensors 2017, 17(10), 2421; doi:10.3390/s17102421 [Link] [PDF] [BibTeX]

Convolutional Neural Network-Based Robot Navigation Using Uncalibrated Spherical Images
Lingyan Ran, Yanning Zhang, Qilin Zhang and Tao Yang
Sensors 2017, 17(6), 1341; doi:10.3390/s17061341 [Link] [PDF] [BibTex]

Multi-View Visual Recognition of Imperfect Testing Data
Qilin Zhang and Gang Hua
Proceedings of the 23rd ACM international conference on Multimedia (ACMMM) October, 2015, Brisbane, Australia (oral presentation) [Link] [PDF] [BibTeX] [Presentation Slides]

Auxiliary Training Information Assisted Visual Recognition
Qilin Zhang, Gang Hua, Wei Liu, Zicheng Liu, and Zhengyou Zhang
IPSJ Transactions on Computer Vision and Applications, Vol. 7 (2015) pp. 138-150 [Link] [PDF] [BibTeX]

Can Visual Recognition Benefit from Auxiliary Information in Training?
Qilin Zhang, Gang Hua, Wei Liu, Zicheng Liu, and Zhengyou Zhang
Asian Conference on Computer Vision (ACCV), Singapore, 2014. (oral presentation, oral acceptance rate 4%) [Link] [PDF] [BibTeX]

Iterative Sparse Asymptotic Minimum Variance Based Approaches for Array Processing
Habti Abeida, Qilin Zhang, Jian Li, and Nadjim Merabtine
IEEE Transactions on Signal Processing, vol. 61, no. 4, pp. 933--944, Feb. 2013 [DOI] [preprint PDF] [BibTeX]

Fast Implementation of Sparse Iterative Covariance-Based Estimation for Source Localization
Qilin Zhang, Habti Abeida, Ming Xue, William Rowe, and Jian Li
The Journal of the Acoustical Society of America, vol. 131, no. 2, pp. 1249--1259, Feb. 2012. [DOI] [preprint PDF] [BibTeX]

Fast Implementation of Sparse Iterative Covariance-Based Estimation for Array Processing
Qilin Zhang, Habti Abeida, Ming Xue, William Rowe, and Jian Li
The 45th Asilomar Conference on Signals, Systems and Computers, Asilomar Conference Grounds, Pacific Grove, CA, Nov. 2011. (oral presentation) [DOI] [preprint PDF] [BibTeX]

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