Huazhong Ning [Resume
in PDF version]
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ECE Department University of Illinois at Urbana-Champaign Beckman Institute, 405 N Mathews Urbana, IL 61801 |
Education: PH.D., University of Illinois at Urbana-Champaign, IL
Electrical & Computer Engineering, expected in 09/2008
Preliminary Exam: 03/2008
Thesis proposal: Representations and Models for Action Search and Recognition
Advisor: Prof. Thomas S. Huang
M.E., Institute of Automation, Chinese Academy of Sciences, China
Electrical Engineering, 2003
Thesis: Model-based Tracking of Walking People
Advisor: Prof. Tieniu Tan
B.S., Special Class for Gifted Young, Univ. of Sci. & Tech. of China
Computer Science, 2000
Thesis: Protocol Conformance Testing Based on Labeled Transition System
Advisor: Prof. Fan Jiang
Research ECE Department, University of Illinois at Urbana-Champaign, IL
Experiences: Research assistant with Prof. Thomas S. Huang, 2004-now
• Technical leader of TRECVID evaluation on action detection/recognition. Proposed a hierarchical space-time model for action recognition and video search. (Undergoing)
• One of three core members of Star Challenge Competition on image/video retrieval. Proposed an approach to video search using spatial-temporal words. (Undergoing)
• One of three core members of ETISEO evaluation on event detection. Proposed jointly a tracking algorithm based on optimal dynamic fusion of multiple proposal distributions. Developed an efficient human detector.
• One of three core members of CLEAR evaluation on the task of multimodal Person ID (audio/video alone or joint). We are the champion.
• Developed a real-time shrug detection system for Yamaha R&D. The system was reported by several news websites.
• A core member of VACE II project on video content analysis. Proposed jointly a method of efficient nonparametric belief propagation and applied it to articulated body tracking.
• Developed an event detection system for Proximex Surveillint™. The system works in the scenario of airport security door.
• Head pose estimation from 2D images. Proposed a Bayesian approach and applied it to PIE database.
NEC Laboratories America, Inc., USA
Research intern (3 summers) and collaboration with Dr. Yihong Gong, 2005-now
• Action detection in Shopping Mall Project. Learn discriminative visual words for 3D human pose estimation. Proposed an LPCRF model for continuous action recognition in unsegmented video sequences.
• Tracking evolutionary virtual communities in web-blogs. Proposed an incremental spectral clustering algorithm.
• A live demo system for driving safety. Developed the core module šC temporal difference learning to predict danger level. The system was highly praised by the Vice-President of Toyota.
• Developed an online speaker diarization system (Ą°who spoke whenĄ±). A product division in NEC is currently transferring it to commercial system.
Institute of Automation, Chinese Academy of Sciences, China
Research Assistant with Prof. Tieniu Tan, 2000-2003
• Developed a model-based human tracking system. Proposed a kinematical approach and a probabilistic approach.
• Developed jointly a gait recognition system that fuses both static and dynamic body biometrics. Established a gait database.
Work Mobile Solutions Division, Alcatel Shanghai Bell Co., Ltd., China
Experiences: Technical Project Manager and 3G Software Engineer, 2003-2004
• Technical project manager of the project 3G-UAN (Uniform Access Number). The project was completed in time with high quality.
• Developed the GPRS part of 3G projects: 3G-VPN (Virtual Private Network) and 3G-PPS (Pre-Paid Service).
Teaching ECE Department, University of Illinois at Urbana-Champaign, IL
Experiences: Teaching Assistant in Multimedia Signal Processing, Spring 2008
Lecture, Grading, Office Hour Q&A
Publications: Computer Vision
Journal: 1 Huazhong Ning, Tony X. Han, Dirk B. Walther, Ming Liu, and Thomas S. Huang, Hierarchical Space-time Model Enabling Efficient Search for Human Actions, IEEE Trans. on Circuits and Systems for Video Technology (accepted). [PDF of Technical Report]
2 Tony X. Han, Huazhong Ning, and Thomas S. Huang, Efficient Nonparametric Belief Propagation, IEEE Trans. on Pattern Analysis and Machine Intelligence (submitted).
3 Tony X. Han, Huazhong Ning, and Thomas S. Huang, Fusion by Optimal Dynamic Mixtures of Proposal Distributions, IEEE Trans. on Circuits and Systems for Video Technology (submitted).
4 Huazhong Ning, Tieniu Tan, Liang Wang, and Weiming Hu, People Tracking Based On Motion Model and Motion Constraints with Automatic Initialization, Pattern Recognition, 37(7), 1423-1440, 2004. [PDF]
5 Huazhong Ning, Tieniu Tan, Liang Wang, and Weiming Hu, Model-based Tracking of Human Walking in Monocular Video Sequences, Image and Vision Computing, 22(5), 429-441, 2004. [PDF]
6 Liang Wang, Huazhong Ning, Tieniu Tan, and Weiming Hu, Vision-based Gait Recognition for Human Identification at a Distance, IEEE Trans. Circuits and Systems for Video Technology, 14(2), 149-158, 2004. [PDF]
7 Liang Wang, Tieniu Tan, Huazhong Ning, and Weiming Hu, Silhouette Analysis Based Gait Recognition for Human Identification, IEEE Trans. on Pattern Analysis and Machine Intelligence, 25 (12), 2003. [PDF]
8 Liang Wang, Tieniu Tan, Weiming Hu, Huazhong Ning, Automatic Gait Recognition Based on Statistical Shape Analysis, IEEE Trans. on Image Processing, 12 (9), 2003. [PDF]
Conference: 9 Huazhong Ning, Wei Xu, Yihong Gong, and Thomas S. Huang, Latent Pose Estimator for Continuous Action Recognition, European Conference on Computer Vision (ECCV), 2008. [PDF]
10 Huazhong Ning, Yuxiao Hu, and Thomas S. Huang, Efficient Initialization of Mixtures of Experts for Human Pose Estimation, IEEE IntĄŻl Conference on Image Processing (ICIP). [PDF]
11 Huazhong Ning, Wei Xu, Yihong Gong, and Thomas S. Huang, Discriminative Learning of Visual Words for 3D Human Pose Estimation, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [PDF]
12 Huazhong Ning, Yuxiao Hu, and Thomas S. Huang, Searching Human Behaviors Using Spatial-Temporal Words, IEEE IntĄŻl Conf. on Image Processing (ICIP), 2007. [PDF]
13 Huazhong Ning, Tony X. Han, Yuxiao Hu, Zhenqiu Zhang, Yun Fu, and Thomas S. Huang, A Realtime Shrug Detector, IEEE IntĄŻl Conference on Automatic Face and Gesture Recognition (FG), 2006. [PDF]
14 Tony X. Han, Huazhong Ning, and Thomas S. Huang, Efficient Nonparametric Belief Propagation with Application to Articulated Body Tracking, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2006. [PDF]
15 Liang Wang, Huazhong Ning, Tieniu Tan, Weiming Hu, Fusion of Static and Dynamic Body Biometrics for Gait Recognition, IntĄŻl Conf. on Computer Vision (ICCV), 2003. [PDF]
16 Huazhong Ning, Liang Wang, Weiming Hu, and Tieniu Tan, Articulated Model Based People Tracking Using Motion Models, IEEE IntĄŻl Conference on Multimodal Interfaces (ICMI), 2002. [PDF]
17 Huazhong Ning, Liang Wang, Weiming Hu, and Tieniu Tan, Model-based Tracking of Human Walking in Monocular Video Sequences, TENCON, 2002. [PDF]
18 Liang Wang, Huazhong Ning, Weiming Hu, and Tieniu Tan, Gait Recognition Based on Procrustes Shape Analysis, IntĄŻl Conference on Image Processing (ICIP), 2002. [PDF]
Audio Processing
Journal: 19 Ming Liu, Xi Zhou, Huazhong Ning, Mark H.-Johnson, and Thomas S. Huang, Speaker Normalization via Frequency Domain Correspondence: A Data Driven Approach, IEEE Trans. on Acoustics, Speech, and Signal Processing (submitted).
20 Ming Liu, Huazhong Ning, Zhengyou Zhang, Mark H.-Johnson, Thomas S. Huang, Text independent Speaker Verification based on Iterative Cohort Modeling, IEEE Trans. on Acoustics, Speech, and Signal Processing (submitted).
Conference: 21 Huazhong Ning, Ming Liu, Hao Tang, and Thomas S. Huang, A Spectral Clustering Approach to Speaker Diarization, IntĄŻl Conference on Spoken Language Processing (ICSLP), 2006. [PDF]
22 Ming Liu, Huazhong Ning, Thomas S. Huang, Zhengyou Zhang, A Novel Framework of Text-Independent Speaker Verification Based on Utterance Transform and Iterative Cohort Modeling, IntĄŻl Conference on Spoken Language Processing (ICSLP), 2006. [PDF]
23 Ming Liu, Hao Tang, Huazhong Ning, and Thomas S. Huang, Person Identification Based on Multichannel and Multimodality Fusion, CLEAR Evaluation Workshop, 2006.
24 Huazhong Ning, Wei Xu, Yihong Gong, and Thomas S. Huang, Improving Speaker Diarization by Cross EM Refinement, IEEE IntĄŻl Conference on Multimedia & Expo (ICME), 2006. [PDF]
Data Mining
Journal: 25 Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, and Thomas S. Huang, Incremental Spectral Clustering by Efficiently Updating the Eigen-System, IEEE Trans. on Pattern Analysis and Machine Intelligence (submitted).
Conference: 26 Huazhong Ning, Wei Xu, Yue Zhou, Yihong Gong, and Thomas S. Huang, Temporal Difference Learning to Detect Unsafe System States, IEEE IntĄŻl Conference on Pattern Recognition (ICPR). [PDF]
27 Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, and Thomas S. Huang, Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities, SIAM IntĄŻl Conference on Data Mining, 2007. [PDF]
28 Yue Zhou, Wei Xu, Huazhong Ning, Yihong Gong, and Thomas S. Huang, Detecting Unsafe Driving Patterns using Discriminative Learning, IEEE IntĄŻl Conference on Multimedia & Expo (ICME), 2007. [PDF]
Patent: • Huazhong Ning, Wei Xu, Yue Zhou, Yihong Gong, and Thomas S. Huang, Systems and Methods for Detecting Unsafe Conditions, No. 60/913,823, filed 04/2007
Honors / • NEC Scholarship, sponsored by NEC Labs American, Inc., 2007.
Awards: • Champion of CLEAR evaluation on Multimodal Person ID task, 2006.
• NEC Scholarship, sponsored by NEC Labs American, Inc., 2005.
• Award of Distinguished Student in Institute of Automation, CAS, 2002.
• Award of Distinguished Student in Chinese Academy of Sciences, 2001.
• Award of Distinguished Graduate in Anhui Province, 2000.
• Award of Distinguished Graduate in USTC, 2000.
• EastCom Scholarship, sponsored by Eastern Communications Co., Ltd., 1999.
• Champion of RoboCup of China, 1999.
• Excellent Student Scholarship in USTC, 1998.
• Huawei Scholarship, sponsored by Huawei Technologies Co., Ltd., 1997.
Skills: • Proficient in C/C++, MFC, STL and generic programming, OpenCV, and Matlab.
• Proficient in code optimization and debugging.
• Very familiar with compiling technologies and multi-thread programming
• Familiar with DirectX, Perl, Python, OpenGL, Java, and C#.