Wei Lu's Homepage

Wei Lu

Email: greatjackylu@gmail.com

Google Scholar Profile

Research Area

- Signal Processing, Image Processing, Computer Vision.

- Machine Learning, Deep Learning, Statistics.

- Sparse Reconstruction, Compressive Sensing, Optimization.

- Medical Image Processing.

Specialties

- Professional experience on image recognition and classification, image compression and reconstruction, statistical analysis for time series, object detection, neural network, optimization, linear algebra

- Strong mathematical ability and programming skills on Matlab, C#, Python, R and ML frameworks Keras, Tensorflow, Scikit-learn

- 2014 IEEE Signal Processing Society Best Paper Award

Education

Sept.2006 - Dec. 2011 Ph.D. in Department of Electrical and Computer Engineering in Iowa State University (ISU)

Sept.2003 - July 2006 M.E. in Department of Electronic Engineering and information Science in University of Science and

Technology of China (USTC)

Sept.1999 - July 2003 B.E. in Department of Electrical Engineering in Nanjing University of Posts and Telecommunications (NUPT)

Professional experience (detailed in CV)

Staff Algorithm Engineer 2021 - Present

Apple Inc.

- Machine learning, image processing.

Staff Algorithm Engineer 2013 - 2021

KLA Corporation

- Lead algorithm development for shape measurement on semiconductor device applying machine learning, signal processing, and image processing techniques on optical data and images.

Research Scientist 2013

Department of Defense, Biotechnology HPC Software Applications Institute

- Human alertness and performance prediction affected by sleep pattern: Develop models to predict the effects of total sleep deprivation and chronic sleep restriction on individual human alertness and performance tests and EEG signals.

Research Engineer 2011 - 2012

Biotronics Incorporation

- Algorithm development and implementation of object recognition, detection and segmentation in ultrasound images using image processing and statistical methods.

Research Assistant 2006 - 2011

ISU, Department of ECE

- Image reconstruction and detection with application to functional MR Imaging

- Image compression with application in video compression and real-time dynamic MRI reconstruction (Modified Compressive Sensing)

- Pattern recognition and its application to human activity classification and surveillance: reconstruction and detection with application to functional MR Imaging

- Modeling image sequences and its application to shape tracking of changing objects

Research Assistant 2003 - 2006

USTC, Department of EEIS

- Image retrieval based on subjective feeling

- Remote sensing image retrieval

Research Assistant 2002 - 2003

NUPT, Department of EE

- Control of chaos using time-delayed feedback

Teaching

Spring 2008 Lab Instructor, Signal and System, ISU

Fall 2006 Lab Instructor, Digital Signal Processing , ISU

Teaching Assistant, Signal and System, ISU

Spring 2005 Teaching Assistant, Digital Logic Circuit, USTC

Publication

Book Chapter

1. Namrata Vaswani, Wei Lu, “Recursive Reconstruction of Sparse Signal Sequences”, bookchapter in “Compressed Sensing & Sparse Filtering”, Eds M. Mihaylova, A. Carmi, S. Godsill, Springer 2013

2. Wei Lu, Ian Atkinson, Namrata Vaswani, “Recursive Reconstruction of Highly Undersampled Functional MRI Sequences", bookchapter in “MRI: Physics, Image Reconstruction and Analysis", Eds A. Majumdar, R. Ward, K. Iniewski, CRC press 2015

Journal Paper

1. Namrata Vaswani, Wei Lu, “Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support”, IEEE Transactions on Signal Processing, September 2010 (2014 IEEE Signal Processing Society Best Paper Award, cited 500+ times. )

2. Wei Lu, Namrata Vaswani, “Regularized Modified BPDN for Noisy Sparse Reconstruction withPartial Erroneous Support and Signal Value Knowledge”, IEEE Transactions on Signal Processing, January 2012

3. Wei Lu, Namrata Vaswani, “Exact Reconstruction Conditions for Regularized Modified Basis Pursuit”, IEEE Transactions on Signal Processing, May 2012

4. Wei Lu, Lin Ni, “Kansei image retrieval based on ROI extracted by color and entropy”, China’s Journal of Image and Graphics, 2006

5. Sridhar Ramakrishnan, Wei Lu, Srinivas Laxminarayan, Nancy J. Wesensten, Tracy L.

Rupp, Thomas J. Balkin, and Jaques Reifman, “Can a mathematical model predict an individual’s trait-like response to both total and partial sleep loss?”, Journal of sleep research, June 2015

Conference Paper

1. Wei Lu, Taoran Li, Ian Atkinson, Namrata Vaswani, “ Modified-CS-residual for Recursive Reconstruction of Highly Undersampled Functional MRI Sequences ”, IEEE International Conference on Image Processing, 2011

2. Wei Lu, Namrata Vaswani, “ Exact Reconstruction Conditions and Error Bounds for RegularizedModified Basis Pursuit (Reg-Modified-BP) ”, 44th Annual Asilomar Conference on Signals, Systems, and Computers,2010

3. Wei Lu, Namrata Vaswani, “ Modified Basis Pursuit Denoising (Modified-BPDN) For Noisy Compressive Sensing With Partially Known Support ”, IEEE International Conferemce on Acoustics, Speech, Signal processing, 2010

4. Namrata Vaswani, Wei Lu, “ Modified-CS: Modifying Compressive Sensing for Problems with Partially Known Support ”, IEEE International Symposium on Information Theory, 2009

5. Wei Lu, Namrata Vaswani, “ Modified Compressive Sensing for Real-time Dynamic MR Imaging ”, IEEE International Conference on Image Processing, 2009

6. Chenlu Qiu, Wei Lu, Namrata Vaswani, “Real-time Dynamic MRI Reconstruction using KalmanFiltered CS”, IEEE Intl. Conf. on Acoustics, Speech, Signal processing, 2009

7. Wei Lu, Namrata Vaswani, “ Wiener-Khinchin Theorem for Non-wide Sense Stationary Random Processes ”, Technical report, arXiv:0904.0602v1, 2009 Full text Appendix

8. Wei Lu, Lin Ni, “ Kansei Image Retrieval based on Region of Interest ”, Proceedings of SPIE, the Fourth Intl. Symposium on Multispectral Image Processing and Pattern Recognition, 2005

9. Lei Niu, Lin Ni, Wei Lu, Miao Yuan, “ A method of Remote Sensing Image Retrieval based on ROI ”, IEEE Third Intl. Conf. on Information Technology and Applications, 2005

Citation Information (taken from Google Scholar, 02/21/2024)

http://scholar.google.com/citations?user=iKBn-NcAAAAJ&hl=en

1. Total Citations: 1183

2. H-index: 13

Patents

1. Stilian Pandev, Wei Lu, Andrei Shchegrov, “ Method for measuring small box size target ”, US patent 20160109375

2. Stilian Pandev, Wei Lu, Dimitry Sanko, “ Signal Response Metrology For Image Based And Scatterometry Overlay Measurements”, US patent 20160117847

3. Stilian Pandev, Wei Lu, "Multi-location metrology", US patent 10365225

4. Stilian Pandev, Wei Lu, "Process Robust Overlay Metrology BAsed on Optical Scatterometry", US patent 15861938

5. Stilian Pandev, Wei Lu, "Process control metrology", US patent 11313809

6. Stilian Pandev, Wei Lu, "Measurement recipe optimization based on probabilistic probabilistic domain knowledge and physical realization", US patent 11520321

7. Stilian Pandev, Wei Lu, "Process robust overlay metrology based on optical scatterometry ", US patent 10732516

Professional Service

1. Area Chair:

IEEE International Conference on Image Processing (ICIP) 2020 - Machine Learning for Image and Video Processing

2. Journal Reviewing:

IEEE Transactions on Signal Processing; IEEE Transactions on Image Processing; IEEE Signal Processing Letters; IEEE Transactions on Broadcasting; International Journal of Electronics and Communications; Computational and Mathematical Methods in Medicine; Signal Processing; Circuits, Systems & Signal Processing; Sensors

3. Conference Reviewing:

IEEE International Conference on Image Processing (ICIP); IEEE Workshop on Statistical Signal Processing; European Signal Processing Conference; IEEE International Conference on Signal Processing and Communications; Multidimensional Systems & Signal Processing

Honors and Awards

2014 IEEE Signal Processing Society Best Paper Award

The IEEE Signal Processing Society Best Paper Award honors the authors of a paper of exceptional merit dealing with a subject related to the Society’s technical scope, and appearing in one of the Society’s solely owned transactions or the Journal of Selected Topics in Signal Processing, irrespective of the author’s age. Eligibility is based on a five-year window. For the 2014 Award, the paper must have appeared in one of the Society’s Transactions between January 1, 2009 and December 31, 2013.