Statistical Machine Learning, Signal/Image Processing

Lingbo Li

Email: ******.**@****.***

Phone: 919-***-****

Mailing Address: 130 Hudson Hall, Box 90291, Duke University, Durham NC 27708, USA

Homepage: http://people.ee.duke.edu/ ll3/

Education

• Ph.D. in Electrical and Computer Engineering, Duke University, Aug. 2008 - present

Adviser: Prof. Lawrence Carin

• M.Sc. in Electrical and Computer Engineering, Duke University, Dec. 2010.

• B.Sc. in Electronic Information Engineering, Xidian University, Jun. 2008.

Current Research Interests

• Bayesian Statistics, Machine Learning, Bayesian Nonparametrics, Hierarchical Models

• Latent Variable Models, Dictionary Learning, Topic Modeling, Sparse Coding, Multi-Modal Data

Analysis

• Signal & Image processing

• Online Learning, Big Data

Publications

1. Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin, “Nested Dictionary Learning for

Hierarchical Organization of Imagery and Text”, to appear in Proc. Uncertainty in Artificial Intel-

ligence (UAI2012), Catalina Island, Aug. 2012.

2. Mingyuan Zhou, Lingbo Li, David Dunson, Lawrence Carin, “Lognormal and Gamma Mixed

Negative Binomial Regression ”, to appear in Proc. International Conference on Machine Learning

(ICML2012), Edinburgh, Scotland, Jun. 2012.

3. Lingbo Li, Jorge Silva, Mingyuan Zhou and Lawrence Carin, “Online Bayesian Dictionary Learn-

ing for Large Datasets,” to appear in International Conference on Acoustics, Speech and Signal

Processing (ICASSP2012), Kyoto, Japan, Mar. 2012.

4. Mingyuan Zhou, Haojun Chen, John Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David Dunson,

Guillermo Sapiro and Lawrence Carin, “Nonparametric Bayesian Dictionary Learning for Analysis

of Noisy and Incomplete Images,” IEEE Trans. Image Processing, Vol. 21, pp. 130-144, Jan. 2012.

5. Lingbo Li, Mingyuan Zhou, Guillermo Sapiro and Lawrence Carin, “On the Integration of Top-

ic Modeling and Dictionary Learning,” in Proc. International Conference on Machine Learning

(ICML2011), Bellevue, WA, Jun. 2011.

6. Lingbo Li, Mingyuan Zhou, Eric Wang and Lawrence Carin, “Joint Dictionary Learning and Topic

Modeling for Image Clustering,” in Proc. International Conference on Acoustics, Speech and Signal

Processing (ICASSP2011), Prague, Czech Republic, May 2011.

Work Experience

- 06/2012 - 09/2012 Mitsubishi Electric Research Laboratories (MERL), Cambridge,

MA

Research Intern in the multi-media group working with Dr. John Hershey

Derived and implemented an efficient new statistical model for structured prediction of user activi-

ties.

1

Teaching

1. Teaching assistant for ECE 281, Random Signals and Noise, Fall 2010.

2. Teaching assistant for ECE 282, Digital Signal Processing, Spring 2011.

Professional Activities

Reviewer:

- IEEE Transactions on Signal Processing

- IEEE Signal Processing Letters

- Sampling Theory in Signal and Image Processing (STSIP)

Invited and Contributed Talks:

- “Online Bayesian Dictionary Learning for Large Datasets”, 7th Annual Workshop for Women

in Machine Learning(WiML), Lake Tahoe, NV, Dec. 2012.

- “On the Integration of Topic Modeling and Dictionary Learning”, ICML 2011, Bellevue, WA,

June 2011

- “Joint Dictionary Learning and Topic Modeling”, SampTA 2011, Singapore, May 2011.

Professional Organizations: IEEE Student Member

Honors and Awards

• Travel Grants, 7th Annual Workshop for Women in Machine Learning, Lake Tahoe, NV, Dec. 2012

• Graduate Fellowship, Duke University, 2008

• Excellent Graduate Student Award, Xidian University, 2008

• 1st Prize Scholarship in the 2004-2007 Academic Year (2%), Xidian University

Selected Courses

Duke University

Random Signals and Noise, Optimal Design of Experiments, Bayesian Inference and Decision, Digital

Signal Processing, Compressive Sensing, Linear Models, Machine Learning, Probabilistic/Statistic

Models, Information Theory, Mathematical Methods in System Analysis, Sensing Theory, Statistical

Learning Theory, Random Walks and Random Matrices, Image and video processing

Xidian University

Signals and Systems, Digital Signal Processing, Stochastic Signal Processing, Probability Theory,

Analog Circuit, Digital Circuit, Radio Frequency Circuit, Electromagnetics and waves, Telecommu-

nication Theory, Radar Theory, Complex function, Mathematical Methods of Physics

Skills and Interests

MATLAB, R, C, Python, Latex, piano

References

Available upon request

2

Contact this candidate