Liming Wang

Principal Data Scientist, HERE

Contact Information:

Mailing Address:

Liming Wang
HERE Technologies
425 W. Randolph St.
Chicago, IL 60606

Homepage: https://limingwang1.github.io
E-mail: limingwang@outlook.com
Office Phone: (312) 894-7000 Ext. 1132096

Linkedin

Brief Information: 

I received my Ph.D. degree in Electrical and Computer Engineering and M.S. degree in Pure Math from University of Illinois at Chicago, both in 2011,
my B.S. in Electronic and Information Engineering from Huazhong University of Science and Technology, China in 2006. From 2011 - 2017, I held academic positions in various
institutions, including Columbia University, Duke University and The Ohio State University, as well as a Visiting Scholar at University College London, UK.
I am also a Senior Member of IEEE. Since 2017, I have been with HERE as a Principal Data Scientist.

My research interests are in the general areas of machine learning, deep learning, image processing, computer vision, statistical signal processing, information theory and bioinformatics.

My Curriculum Vitae

Publications and Preprints:

Journal Paper:

Liming Wang and Yuejie Chi, "Stochastic approximation and memory-limited subspace tracking for Poisson streaming data,'' IEEE Transactions on Signal Processing, vol. 66, no. 4,  pp. 1051-1064, February 2018. PDF

Liming Wang, Minhua Chen, Miguel Rodrigues, David Wilcox, Robert Calderbank and Lawrence Carin, "Information-theoretic compressive measurement design,'' IEEE Transactions on Pattern Analysis and Machine Intelligence,  vol. 39, no. 6,  pp. 1150-1164, June 2017. PDF

Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, Robert Calderbank, Lawrence Carin and Miguel Rodrigues, "Classification and reconstruction of high-dimensional signals from low-dimensional noisy features in the presence of side information," IEEE Transactions on Information Theory, vol. 62, no. 11,  pp. 6459-6492, Nov 2016.  Arxiv, PDF.

Liming Wang and Yuejie Chi, "Blind deconvolution from multiple sparse inputs,'' IEEE Signal Processing Letters, vol. 23, no. 10,  pp. 1384-1388, October 2016. PDF

Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel Greenberg, Volkan Cevher, Miguel Rodrigues, David Brady, Robert Calderbank and Lawrence Carin, "Signal recovery and system calibration from multiple compressive Poisson measurements," SIAM Journal on Imaging Sciences, vol. 8, no. 3, pp. 1923-1954, 2015. PDF

Liming Wang, David Carlson, Miguel Rodrigues, Robert Calderbank and Lawrence Carin, "A Bregman matrix and the gradient of mutual information for vector Poisson and Gaussian channels,'' IEEE Transactions on Information Theory, vol. 60, no. 5,  pp. 2611-2629, May 2014. PDF

Hao Wu, Liming Wang, Xiaodong Wang and Xiaohu You, "Asymptotic and non-asymptotic analysis of uplink sum rate for relay-assisted MIMO cellular systems,'' IEEE Transactions on Signal Processing, vol. 62, no. 6, pp. 1348-1360, March 2014. PDF

Liming Wang and Xiaodong Wang, "Hierarchical Dirichlet process model for gene expression clustering,'' EURASIP Journal on Bioinformatics and Systems Biology 2013, 2013:5. PDF

Liming Wang, Xiaodong Wang, Adam Arkin and Michael Samoilov, "Inference of gene regulatory networks from genome-wide knockout fitness data," Bioinformatics, vol. 29, no. 3, pp. 338-346, February 2013. PDF

Liming Wang and Dan Schonfeld, "Mapping equivalence for symbolic sequences: theory and applications," IEEE Transactions on Signal Processing, vol. 57, no. 12, pp. 4895-4905, December 2009. Arxiv, PDF

Conference Paper:

Liming Wang and Yuejie Chi, "Memory-limited stochastic approximation for Poisson subspace tracking,'' IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curaçao, Dutch Antilles, December, 2017. PDF

Liming Wang, Francesco Renna, Xin Yuan, Miguel Rodrigues, Robert Calderbank and Lawrence Carin, "Reconstruction and classification from compressive measurements with side information,'' IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, China, March, 2016. PDF

Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel Rodrigues, Robert Calderbank and Lawrence Carin, "A concentration-of-measure inequality for multiple-measurement models," IEEE International Symposium on Information Theory (ISIT 2015), Hong Kong, June, 2015. PDF

Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, Robert Calderbank, Lawrence Carin and Miguel Rodrigues, "Classification and reconstruction of compressed GMM signals with side information," IEEE International Symposium on Information Theory (ISIT 2015), Hong Kong, June, 2015. PDF

Miguel Rodrigues, Liming Wang, Robert Calderbank and Lawrence Carin, "'Most-informative' compressive measurement design for classification and reconstruction of imagery data,'' NATO SET-213 Specialist Meeting: Compressive Sensing for Radar/SAR and EO/IR Imaging, Tallinn, Estonia, May, 2014.

Liming Wang, Abolfazl Razi, Miguel Rodrigues, Robert Calderbank and Lawrence Carin, "Nonlinear information-theoretic compressive measurement design,'' International Conference on Machine Learning (ICML 2014), Beijing, China, June, 2014. PDF   Supplementary Material

Liming Wang, David Carlson, Miguel Rodrigues, David Wilcox, Robert Calderbank and Lawrence Carin, "Designed measurements for vector count data,'' Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, December, 2013.  PDF   Supplementary Material

Liming Wang, Miguel Rodrigues and Lawrence Carin, "Generalized Bregman divergence and gradient of mutual information in vector Poisson channels,'' IEEE International Symposium on Information Theory (ISIT 2013), Istanbul, Turkey, July, 2013. PDF

Jing Huang, Liming Wang and Dan Schonfeld, "Compressed sensing: a novel polynomial complexity solution to Nash equilibria in dynamical games,'' IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, May, 2013 (Oral Presentation). PDF

Liming Wang and Dan Schonfeld, "Mapping equivalence under iterative dynamics for symbolic sequences,'' IEEE Statistical Signal Processing Workshop (SSP 2012), Ann Arbor, MI, August, 2012. PDF

Liming Wang, Nicola Piotto and Dan Schonfeld, "Boosting quantization for Lp norm distortion measure,'' IEEE Statistical Signal Processing Workshop (SSP 2012), Ann Arbor, MI, August, 2012. PDF

Liming Wang and Xiaodong Wang, "Gene deletion data based genomic regulatory network inference,'' IEEE Statistical Signal Processing Workshop (SSP 2012), Ann Arbor, MI, August, 2012. PDF

Liming Wang and Xiaodong Wang, "A non-parametric Bayesian clustering for gene expression data,'' IEEE Statistical Signal Processing Workshop (SSP 2012), Ann Arbor, MI, August, 2012 (Invited). PDF

Liming Wang and Dan Schonfeld, "Stability of an iterative dynamical system,'' American Control Conference (ACC 2012), Montreal, Canada, June, 2012. PDF

Liming Wang, Vikram Krishnamurthy and Dan Schonfeld, "Factor graph-based structural equilibria in dynamical games,'' IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'11), Prague, Czech, May, 2011 (Oral Presentation) . PDF

Liming Wang and Dan Schonfeld, "Dynamics, stability and consistency in representation of genomic sequences,'' IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'10), Cold Spring Harbor, NY, November, 2010. PDF

Liming Wang and Dan Schonfeld, "Game theoretical model for control of gene regulatory networks," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'10), Dallas, TX, March, 2010. PDF

Liming Wang and Dan Schonfeld, "Consistency in representation and transformation of genomic sequences," IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'09), Minneapolis, MN, May, 2009. PDF

Thesis:

Genomic Signal Processing and Regulatory Networks: Representation, Dynamics and Control, Ph.D. thesis, University of Illinois at Chicago, 2011

Isoperimetric Inequalities in Carnot Groups, Master thesis, University of Illinois at Chicago, 2011

Transform Domain Based Super-resolution Reconstruction Algorithm from Compressed Video Sequence, Bachelor thesis, Huazhong University of Science and Technology, 2006