Seminar Date(s)
Seminar Location
Jacobs Hall (EBU1) Booker Conference Room 2512 - Jacobs School of Engineering, 9500 Gilman Dr. La Jolla, CA 92093
Seminar Speaker
Yu Hen Hu
Dept. Electrical and Computer Engineering
University of Wisconsin – Madison
Abstract
The Deep Neural Network (DNN) has significantly enhanced the performance of pattern classification and time series predictions for numerous important real-world applications. However, the complexity of a typical DNN network has also made it difficult to incorporate such an algorithm in low power mobile devices and internet of things. In this work, we present methods to approximate the performance of a trained DNN by modifying its structural design and discuss specific design cases.
This work is collaborated with Mr. Boyu Zhang and Professor Azadeh Davoodi at ECE department, UW- Madison.
Seminar Speaker Bio
Yu Hen Hu received BSEE from National Taiwan University, Taiwan ROC in 1976, and MSEE and PhD degrees from University of Southern California, Los Angeles, CA, USA in 1982. He was in the faculty of the Electrical Engineering Department of Southern Methodist University, Dallas, Texas.
Since 1987, he has been with the Department of Electrical and Computer Engineering, University of Wisconsin, Madison where he is currently a professor.
Dr. Hu's has broad research interests ranging from design and implementation of signal processing algorithms, computer aided design and physical design of VLSI, pattern classification and machine learning algorithms, and image and signal processing in general. He has published more than 400 technical papers, edited or co-authored four books and many book chapters in these areas.
Dr. Hu has served as an associate editor for the IEEE Transaction of Acoustic, Speech, and Signal Processing, IEEE signal processing letters, European Journal of Applied Signal Processing, Journal of VLSI Signal Processing, and IEEE Multimedia magazine. He has served as the secretary and an executive committee member of the IEEE signal processing society, a board of governor of IEEE neural network council representing the signal processing society, the chair of signal processing society neural network for signal processing technical committee, and the chair of IEEE signal processing society multimedia signal processing technical committee. He was also a steering committee member of the international conference of Multimedia and Expo on behalf of IEEE Signal processing society.
Dr. Hu is a fellow of IEEE.
Since 1987, he has been with the Department of Electrical and Computer Engineering, University of Wisconsin, Madison where he is currently a professor.
Dr. Hu's has broad research interests ranging from design and implementation of signal processing algorithms, computer aided design and physical design of VLSI, pattern classification and machine learning algorithms, and image and signal processing in general. He has published more than 400 technical papers, edited or co-authored four books and many book chapters in these areas.
Dr. Hu has served as an associate editor for the IEEE Transaction of Acoustic, Speech, and Signal Processing, IEEE signal processing letters, European Journal of Applied Signal Processing, Journal of VLSI Signal Processing, and IEEE Multimedia magazine. He has served as the secretary and an executive committee member of the IEEE signal processing society, a board of governor of IEEE neural network council representing the signal processing society, the chair of signal processing society neural network for signal processing technical committee, and the chair of IEEE signal processing society multimedia signal processing technical committee. He was also a steering committee member of the international conference of Multimedia and Expo on behalf of IEEE Signal processing society.
Dr. Hu is a fellow of IEEE.
Seminar Contact
Beatriz Valenzuela-Guzmán
bpvalenz@eng.ucsd.edu
bpvalenz@eng.ucsd.edu