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2020 – today
- 2024
[c21]Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari:
MUSCLE: A Model Update Strategy for Compatible LLM Evolution. EMNLP (Findings) 2024: 7320-7332- [c20]Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel:
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. ICASSP 2024: 12326-12330 - [i12]Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari:
MUSCLE: A Model Update Strategy for Compatible LLM Evolution. CoRR abs/2407.09435 (2024) - 2023
- [c19]Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik:
I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP 2023: 1-5 - [c18]Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel:
Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. ICASSP 2023: 1-5 - [i11]Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel:
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis. CoRR abs/2303.14885 (2023) - [i10]Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel:
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models. CoRR abs/2309.10707 (2023) - 2022
- [c17]Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel:
SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. ICASSP 2022: 7682-7686 - [i9]Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik:
I see what you hear: a vision-inspired method to localize words. CoRR abs/2210.13567 (2022) - 2021
- [c16]Yen-Chia Hsu
, Ting-Hao K. Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Jessica Pachuta, Randy Sargent, Illah R. Nourbakhsh:
Project RISE: Recognizing Industrial Smoke Emissions. AAAI 2021: 14813-14821 - [c15]Ting-Yao Hu, Alexander G. Hauptmann:
Statistical Distance Metric Learning for Image Set Retrieval. ICASSP 2021: 1765-1769 - [c14]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP 2021: 4040-4044 - [c13]Ting-Yao Hu, Alexander G. Hauptmann:
Pose Guided Person Image Generation With Hidden P-Norm Regression. ICIP 2021: 2423-2427 - [i8]Ting-Yao Hu, Alexander G. Hauptmann:
Pose Guided Person Image Generation with Hidden p-Norm Regression. CoRR abs/2102.10033 (2021) - [i7]Ting-Yao Hu, Zhi-Qi Cheng, Alexander G. Hauptmann:
Subspace Representation Learning for Few-shot Image Classification. CoRR abs/2105.00379 (2021) - [i6]Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel:
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. CoRR abs/2110.11479 (2021) - 2020
- [c12]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. ICASSP 2020: 3267-3271 - [i5]Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. CoRR abs/2003.06227 (2020) - [i4]Yen-Chia Hsu, Ting-Hao K. Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Randy Sargent, Illah R. Nourbakhsh:
RISE Video Dataset: Recognizing Industrial Smoke Emissions. CoRR abs/2005.06111 (2020) - [i3]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR abs/2011.01156 (2020)
2010 – 2019
- 2019
- [c11]Ting-Yao Hu, Alexander G. Hauptmann:
Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation. ICMR 2019: 262-270 - [c10]Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, Wayner Barrios, Dong Huang, Alexander G. Hauptmann:
Minding the Gaps in a Video Action Analysis Pipeline. WACV Workshops 2019: 41-46 - 2018
- [c9]Jia Chen, Shizhe Chen, Qin Jin, Alexander G. Hauptmann, Po-Yao Huang, Junwei Liang, Vaibhav, Xiaojun Chang, Jiang Liu, Ting-Yao Hu, Wenhe Liu, Wei Ke, Wayner Barrios, Haroon Idrees, Donghyun Yoo, Yaser Sheikh, Ruslan Salakhutdinov, Kris Kitani, Dong Huang:
Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. TRECVID 2018 - [i2]Ting-Yao Hu, Xiaojun Chang, Alexander G. Hauptmann:
Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification. CoRR abs/1808.01119 (2018) - 2017
- [c8]Ting-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert E. Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskénazi:
Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System. AAAI 2017: 5091-5092 - [c7]Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu:
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning. MLSP 2017: 1-6 - [i1]Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu:
Multi-Metrics Learning for Speech Enhancement. CoRR abs/1704.08504 (2017) - 2015
- [j3]Yu Tsao, Payton Lin, Ting-Yao Hu, Xugang Lu:
Ensemble environment modeling using affine transform group. Speech Commun. 68: 55-68 (2015) - 2014
- [j2]Yu Tsao, Xugang Lu, Paul R. Dixon, Ting-Yao Hu, Shigeki Matsuda, Chiori Hori:
Incorporating local information of the acoustic environments to MAP-based feature compensation and acoustic model adaptation. Comput. Speech Lang. 28(3): 709-726 (2014) - [j1]Yu Tsao, Ting-Yao Hu, Sakriani Sakti, Satoshi Nakamura, Lin-Shan Lee:
Variable Selection Linear Regression for Robust Speech Recognition. IEICE Trans. Inf. Syst. 97-D(6): 1477-1487 (2014) - [c6]How Jing, Ting-Yao Hu, Hung-Shin Lee, Wei-Chen Chen, Chi-Chun Lee, Yu Tsao, Hsin-Min Wang:
Ensemble of machine learning algorithms for cognitive and physical speaker load detection. INTERSPEECH 2014: 447-451 - 2013
- [c5]Hung-yi Lee, Ting-Yao Hu, How Jing, Yun-Fan Chang, Yu Tsao, Yu-Cheng Kao, Tsang-Long Pao:
Ensemble of machine learning and acoustic segment model techniques for speech emotion and autism spectrum disorders recognition. INTERSPEECH 2013: 215-219 - 2012
- [c4]Ting-Yao Hu, Yu Tsao, Lin-Shan Lee:
Discriminative Fuzzy Clustering Maximum a Posterior Linear Regression for Speaker Adaptation. INTERSPEECH 2012: 567-570 - 2011
- [c3]Ming-Chun Yang, Chang-Heng Wang, Ting-Yao Hu, Yu-Chiang Frank Wang:
Learning context-aware sparse representation for single image super-resolution. ICIP 2011: 1349-1352 - [c2]Ming-Chun Yang, Ting-Yao Hu, Chang-Heng Wang, Yu-Chiang Frank Wang:
Learning of context-aware single image super-resolution. VCIP 2011: 1-4 - 2010
- [c1]Yuh Shyang Wang, Ting-Yao Hu, Shyh-Kang Jeng:
Automatic Transcription for Music with Two Timbres from Monaural Sound Source. ISM 2010: 314-317
Coauthor Index
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