1. JIANGANG YU
8530 Costa Verde blvd. 1305 Home Phone: (858) 202-067
San Diego, CA 92122 Cell phone: (951) 333-9896
http://www.ee.ucr.edu/~jyu Email: jyu@ee.ucr.edu
OBJECTIVE
To seek a full-time R&D position in Image/Video Processing, Computer Vision, Pattern
Recognition and Machine Learning.
QUALIFICATION
• Strong background in Image Processing: theories, algorithms and implementation.
• Expert in Computer Vision and Pattern Recognition.
• Expert in Data Mining and Machine Learning.
• Master in surveillance video processing, including object tracking and super-resolution.
• Experience with learning methods such as Neural Network, Genetic Algorithm, Bayesian
network and decision tree.
• Experience with video compression algorithms Mpeg-1, Mpeg-2, and H.264/Mpeg-4 AVC.
• Proficient in C/C++, MS Visual C++ and Matlab.
• Strong background in data structure and computer algorithms.
EDUCATION
University of California, Riverside 09/2002 - 09/2007
Ph.D (Computer Vision and Intelligent Systems)
Visualization and Intelligent Systems Laboratory
Department of Electrical Engineering
Thesis: Super-resolution and Facial Expression for Face Recognition in Video
Beijing Jiaotong University, Beijing 09/1999 - 04/2002
M.S. (Signal and Information Processing)
Thesis: Efficient Error Recovery of Reliable multicast
WORK EXPERIENCE
Research Engineer: Photometria Inc. (TAAZ.COM) San Diego, CA 02/2008 – Present
Designed algorithms for photo enhancement including facial feature detection, face recognition
and image refinements which exploit a confluence of technologies in computer vision, computer
graphics and machine learning. I am one of the core team to build web2.0 service based on flash
platform to provide online virtual makeover tools to the users. I have solid understanding of
web2.0 development and user experience oriented design.
Designed algorithms for improved skin detection and skin tone correction utilizing 3D face model.
Modeled and fitted 3D eyeglass on user uploaded photos seamlessly including pose estimation,
UV texture unwrapping and rendering.
Internship: Euclid Discoveries Concord, MA 06/2006 - 09//2006
During this internship, I built a 3D model using planes for objects in video. This task included raw
model building, clustering, parameters learned by EM algorithm and 3D tracking for facial objects.
I also designed video compression algorithms for video conference applications.
Internship: VideoWin Corporation Beijing, China 11/2000 - 04/2001

2. • Developed multipoint video-conferencing software for Multi-media Conference System on PC
platform based on H.323 protocols.
• Designed the Multi-Control-Unit (MCU) based on H.245 for signaling control of video
conference system.
• Optimized the TI DSP video compression with improved DCT algorithm.
Electrical Engineer: China Telecom China 07/1997 - 09/1999
Worked on the Tandem exchanges and mobile base station, maintained and optimized the voice
channel in the switch chipsets (build-in DSP chip).
RESEARCH EXPERIENCE
Research Assistant Visualization and Intelligent Systems Laboratory, UCR
09/2002 - 09/2007
Super-resolution (Enhancement) of Facial Video
• Developed algorithm for 3D face tracking in video under changing illuminations and poses.
• Built 3D models using a morphable model based on low-resolution images.
• Developed robust image registration algorithms.
• Developed super-resolution algorithms for facial video taken from surveillance cameras using
a novel closed-loop approach.
• Developed algorithm for tracking facial video with expression changes using Resolution
Aware Incremental Free Form Deformation, in which a low resolution imaging model is
embedded to simulate the formation of low resolution images.
Face Recognition
• Designed and implemented video-based face recognition using the super-resolved facial
video.
• Improved the recognition rate by 20% by integrating super-resolution techniques into video-
based face recognition.
Facial Expression Recognition (FER)
• Generated facial features based on Gabor filter bank.
• Performed feature selection learned by genetic programming in an automatic manner and
achieve good classification results without any pre-processing on the facial expression
images.
• Trained Bayes and SVM classifiers for classification.
Intrusion Detection
• Designed algorithms to detect intrusions on servers using Neural Network and Genetic
Programming
PUBLICATIONS
1. B. Bhanu, J. Yu, X. Tan and Y. Lin, “Feature Synthesis Using Genetic Programming for Face
Expression Recognition”, Genetic and Evolutionary Computation Conference: Vol. 2: pp.
896-907.
2. J. Yu, B. Bhanu, “Super-resolution Restoration of Facial Images in Video,” International
Conference on Pattern Recognition (ICPR) (4) 2006: 342-345.
3. J. Yu, B. Bhanu, “Evolutionary Feature Synthesis for Facial Expression Recognition,” Pattern
Recognition Letters, 27(11): 1289-1298 (2006).
4. J. Yu, B. Bhanu, Y. Xu and Amit K. Roy-Chowdhury “Super-resolved Facial Texture Under
Changing Pose and Illumination,” IEEE International Conference on Image Processing
(ICIP’07).

3. 5. J. Yu, B. Bhanu, “Super-resolution of Facial Images in Video with Expression Changes,”
IEEE International Conference on Advanced Video and Signal Based Surveillance 2008
6. J. Yu, B. Bhanu, “Closed-loop Construction of Super-resolved 3D Facial Texture and Its Use
for Face Recognition in Video”, IEEE Trans. on Pattern Analysis and Machine Intelligence
(submitted).
7. J. Yu, B. Bhanu, “Super-resolution of Facial Images in Video with Expression Changes”,
Submitted to IEEE Trans. on Information Forensics and Security (submitted).
8. J. Yu, Z. Qiu, “The Research and Implementation of MCU in Multi-point Conferencing System
over IP Networks”, Modern Science & Technology of Telecommunication, 2001(8): pp. 1-4.
PROFESSIONAL ACTIVITIES
• Member, Institute of Electrical and Electronics Engineers (IEEE).
• Reviewer for major conferences and journals: CVPR, ICPR, IEEE Transactions