| 2008 |
|---|
| 16 | EE | Jian Xue,
Yunxin Zhao:
Random Forests of Phonetic Decision Trees for Acoustic Modeling in Conversational Speech Recognition.
IEEE Transactions on Audio, Speech & Language Processing 16(3): 519-528 (2008) |
| 2007 |
|---|
| 15 | EE | Xiaolong Li,
Yunxin Zhao:
A fast and memory-efficient N-gram language model lookup method for large vocabulary continuous speech recognition.
Computer Speech & Language 21(1): 1-25 (2007) |
| 14 | EE | Xiaodong He,
Yunxin Zhao:
Prior knowledge guided maximum expected likelihood based model selection and adaptation for nonnative speech recognition.
Computer Speech & Language 21(2): 247-265 (2007) |
| 13 | EE | Rusheng Hu,
Yunxin Zhao:
Knowledge-Based Adaptive Decision Tree State Tying for Conversational Speech Recognition.
IEEE Transactions on Audio, Speech & Language Processing 15(7): 2160-2168 (2007) |
| 12 | EE | Xiaojia Zhang,
Yunxin Zhao,
Laura Schopp:
A Novel Method of Language Modeling for Automatic Captioning in TC Video Teleconferencing.
IEEE Transactions on Information Technology in Biomedicine 11(3): 332-337 (2007) |
| 2006 |
|---|
| 11 | EE | Yunxin Zhao,
Rong Hu,
Xiaolong Li:
Speedup convergence and reduce noise for enhanced speech separation and recognition.
IEEE Transactions on Audio, Speech & Language Processing 14(4): 1235-1244 (2006) |
| 2005 |
|---|
| 10 | EE | Shaojun Wang,
Dale Schuurmans,
Fuchun Peng,
Yunxin Zhao:
Combining Statistical Language Models via the Latent Maximum Entropy Principle.
Machine Learning 60(1-3): 229-250 (2005) |
| 2003 |
|---|
| 9 | | Shaojun Wang,
Dale Schuurmans,
Fuchun Peng,
Yunxin Zhao:
Learning Mixture Models with the Latent Maximum Entropy Principle.
ICML 2003: 784-791 |
| 8 | | Shaojun Wang,
Dale Schuurmans,
Fuchun Peng,
Yunxin Zhao:
Boltzmann Machine Learning with the Latent Maximum Entropy Principle.
UAI 2003: 567-574 |
| 2000 |
|---|
| 7 | EE | Rajeev Sharma,
Michael Zeller,
Vladimir Pavlovic,
Thomas S. Huang,
Zion Lo,
Stephen M. Chu,
Yunxin Zhao,
James C. Phillips,
Klaus Schulten:
Speech/Gesture Interface to a Visual-Computing Environment.
IEEE Computer Graphics and Applications 20(2): 29-37 (2000) |
| 1998 |
|---|
| 6 | | Hongchi Shi,
Yunxin Zhao,
Xinhua Zhuang:
A general model for bidirectional associative memories.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(4): 511-519 (1998) |
| 1997 |
|---|
| 5 | EE | Michael Zeller,
James C. Phillips,
A. Dalke,
W. Humphrey,
Klaus Schulten,
Thomas S. Huang,
Vladimir Pavlovic,
Yunxin Zhao,
Zion Lo,
Stephen M. Chu,
Rajeev Sharma:
A Visual Computing Environment for Very Large Scale Biomolecular Modeling.
ASAP 1997: 3- |
| 1996 |
|---|
| 4 | EE | Xinhua Zhuang,
Yan Huang,
Kannappan Palaniappan,
Yunxin Zhao:
Gaussian mixture density modeling, decomposition, and applications.
IEEE Transactions on Image Processing 5(9): 1293-1302 (1996) |
| 3 | EE | Bing-Bing Chai,
Tong Huang,
Xinhua Zhuang,
Yunxin Zhao,
Jack Sklansky:
Piecewise linear classifiers using binary tree structure and genetic algorithm.
Pattern Recognition 29(11): 1905-1917 (1996) |
| 1992 |
|---|
| 2 | EE | Yunxin Zhao,
Xinhua Zhuang,
Les E. Atlas,
Lars Anderson:
Parameter estimation and restoration of noisy images using Gibbs distributions in hidden Markov models.
CVGIP: Graphical Model and Image Processing 54(3): 187-197 (1992) |
| 1991 |
|---|
| 1 | EE | Xinhua Zhuang,
Yunxin Zhao,
Thomas S. Huang:
A neural net algorithm for multidimensional maximum entropy spectrum estimation.
Neural Networks 4(5): 619-626 (1991) |
