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ORCIDThomas S. Huang
- > Home > Persons > Thomas S. Huang
Publications
- 2020
[c731]Tarek Sakakini, Jong Yoon Lee, Aditya Duri, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Suma Bhat
, Daniel G. Morrow, James Graumlich, Saqib Walayat, Mark Hasegawa-Johnson, Thomas S. Huang, Ann Willemsen-Dunlap, Donald Halpin:
Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains. LOUHI@EMNLP 2020: 115-126- 2018
- [c689]Renato Ferreira Leitão Azevedo, Daniel G. Morrow, James F. Graumlich, Ann M. Willemsen-Dunlap, Mark Hasegawa-Johnson, Thomas S. Huang, Kuangxiao Gu, Suma Bhat, Tarek Sakakini, Victor Sadauskas, Donald J. Halpin:
Using Conversational Agents to Explain Medication Instructions to Older Adults. AMIA 2018 - 2017
- [j269]Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, William Schuh, Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Bidisha Roy, Rocío García-Retamero:
A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care. J. Biomed. Informatics 69: 63-74 (2017) - [c673]Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Victor Sadauskas, Tarek Sakakini, Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Suma Bhat, Ann Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich, William Schuh:
Using Computer Agents to Explain Clinical Test Results. AMIA 2017 - [c672]Tarek Sakakini, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Yang Zhang, Suma Bhat, Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Ann M. Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich:
Dr. Babel Fish: A Machine Translator to Simplify Providers' Language. AMIA 2017 - [c665]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) 2017 - [c661]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87 - [c658]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [i40]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - [i34]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - 2016
- [c646]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [i23]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i20]Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Fast Wavenet Generation Algorithm. CoRR abs/1611.09482 (2016) - 2014
- [j252]Kyungtae Kim, Kai-Hsiang Lin, Dirk B. Walther, Mark Hasegawa-Johnson, Thomas S. Huang:
Automatic detection of auditory salience with optimized linear filters derived from human annotation. Pattern Recognit. Lett. 38: 78-85 (2014) - [c622]Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki, Mark Hasegawa-Johnson:
Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops 2014: 754-761 - [c617]Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang:
Foreground object detection in highly dynamic scenes using saliency. ICIP 2014: 1125-1129 - 2013
- [j244]Kai-Hsiang Lin, Xiaodan Zhuang, Camille Goudeseune, Sarah King, Mark Hasegawa-Johnson, Thomas S. Huang:
Saliency-maximized audio visualization and efficient audio-visual browsing for faster-than-real-time human acoustic event detection. ACM Trans. Appl. Percept. 10(4): 26:1-26:16 (2013) - 2012
- [j239]Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, Thomas S. Huang:
Partially Supervised Speaker Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 959-971 (2012) - [c588]Kai-Hsiang Lin, Xiaodan Zhuang, Camille Goudeseune, Sarah King, Mark Hasegawa-Johnson, Thomas S. Huang:
Improving faster-than-real-time human acoustic event detection by saliency-maximized audio visualization. ICASSP 2012: 2277-2280 - [c581]Po-Sen Huang, Jianchao Yang, Mark Hasegawa-Johnson, Feng Liang, Thomas S. Huang:
Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. INTERSPEECH 2012: 2518-2521 - [c580]Po-Sen Huang, Mark Hasegawa-Johnson, Wotao Yin, Thomas S. Huang:
Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. MLSP 2012: 1-6 - 2011
- [p13]Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang:
Efficient Object Localization with Variation-Normalized Gaussianized Vectors. Intelligent Video Event Analysis and Understanding 2011: 93-109 - 2010
- [j215]Xi Zhou, Xiaodan Zhuang, Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
Novel Gaussianized vector representation for improved natural scene categorization. Pattern Recognit. Lett. 31(8): 702-708 (2010) - [j214]Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang:
Real-world acoustic event detection. Pattern Recognit. Lett. 31(12): 1543-1551 (2010) - [j213]Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
A Novel Vector Representation of Stochastic Signals Based on Adapted Ergodic HMMs. IEEE Signal Process. Lett. 17(8): 715-718 (2010) - [c539]Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
Toward robust learning of the Gaussian mixture state emission densities for hidden Markov models. ICASSP 2010: 5242-5245 - [c533]Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
Non-frontal view facial expression recognition based on ergodic hidden Markov model supervectors. ICME 2010: 1202-1207 - 2009
- [j200]Thomas S. Huang, Mark A. Hasegawa-Johnson, Stephen M. Chu, Zhihong Zeng, Hao Tang:
Sensitive Talking Heads [Applications Corner]. IEEE Signal Process. Mag. 26(4): 67-72 (2009) - [c525]Jui-Ting Huang, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang:
Kernel metric learning for phonetic classification. ASRU 2009: 141-145 - [c509]Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, Thomas S. Huang:
Emotion recognition from speech VIA boosted Gaussian mixture models. ICME 2009: 294-297 - 2008
- [j176]Hao Tang, Yun Fu, Jilin Tu, Mark Hasegawa-Johnson, Thomas S. Huang:
Humanoid Audio-Visual Avatar With Emotive Text-to-Speech Synthesis. IEEE Trans. Multim. 10(6): 969-981 (2008) - [c490]Shuicheng Yan, Xi Zhou, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang:
Regression from patch-kernel. CVPR 2008 - [c483]Xiaodan Zhuang, Xi Zhou, Thomas S. Huang, Mark Hasegawa-Johnson:
Feature analysis and selection for acoustic event detection. ICASSP 2008: 17-20 - [c469]Hao Tang, Yuxiao Hu, Yun Fu, Mark Hasegawa-Johnson, Thomas S. Huang:
Real-time conversion from a single 2D face image to a 3D text-driven emotive audio-visual avatar. ICME 2008: 1205-1208 - [c458]Xi Zhou, Xiaodan Zhuang, Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
A novel Gaussianized vector representation for natural scene categorization. ICPR 2008: 1-4 - [c457]Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang:
Face age estimation using patch-based hidden Markov model supervectors. ICPR 2008: 1-4 - [c456]Heejin Kim, Mark Hasegawa-Johnson, Adrienne Perlman, Jon R. Gunderson, Thomas S. Huang, Kenneth L. Watkin, Simone Frame:
Dysarthric speech database for universal access research. INTERSPEECH 2008: 1741-1744 - [c455]Hao Tang, Xi Zhou, Matthias Odisio, Mark Hasegawa-Johnson, Thomas S. Huang:
Two-stage prosody prediction for emotional text-to-speech synthesis. INTERSPEECH 2008: 2138-2141 - [c451]Xi Zhou, Xiaodan Zhuang, Shuicheng Yan, Shih-Fu Chang, Mark Hasegawa-Johnson, Thomas S. Huang:
SIFT-Bag kernel for video event analysis. ACM Multimedia 2008: 229-238 - [c446]Hao Tang, Yun Fu, Jilin Tu, Thomas S. Huang, Mark Hasegawa-Johnson:
EAVA: A 3D Emotive Audio-Visual Avatar. WACV 2008: 1-6 - 2007
- [c440]Ming Liu, Yanxiang Chen, Xi Zhou, Xiaodan Zhuang, Mark Hasegawa-Johnson, Thomas S. Huang:
Multichannel and Multimodality Person Identification. CLEAR 2007: 248-255 - [c438]Xi Zhou, Xiaodan Zhuang, Ming Liu, Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
HMM-Based Acoustic Event Detection with AdaBoost Feature Selection. CLEAR 2007: 345-353 - [c420]Yun Fu, Xi Zhou, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang:
Lipreading by Locality Discriminant Graph. ICIP (3) 2007: 325-328 - [c417]Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, Thomas S. Huang:
Exploring Discriminative Learning for Text-Independent Speaker Recognition. ICME 2007: 56-59 - [c415]Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang:
Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification. ICME 2007: 188-191 - [c405]Ming Liu, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang, Zhengyou Zhang:
Frequency domain correspondence for speaker normalization. INTERSPEECH 2007: 274-277 - 2006
- [c382]Mark Hasegawa-Johnson, Jon R. Gunderson, Adrienne Perlman, Thomas S. Huang:
Hmm-Based and Svm-Based Recognition of the Speech of Talkers With Spastic Dysarthria. ICASSP (3) 2006: 1060-1063 - 2004
- [c305]Bowon Lee, Mark Hasegawa-Johnson, Camille Goudeseune, Suketu Kamdar, Sarah Borys, Ming Liu, Thomas S. Huang:
AVICAR: audio-visual speech corpus in a car environment. INTERSPEECH 2004: 2489-2492
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