Automatic Transcription for Music with Two Timbres from Monaural Sound Source. - Yuh Shyang Wang; Ting-Yao Hu; Shyh-Kang Jeng (ISM, 2010)

Learning context-aware sparse representation for single image super-resolution. - Ming-Chun Yang; Chang-Heng Wang; Ting-Yao Hu; Yu-Chiang Frank Wang (ICIP, 2011)

Learning of context-aware single image super-resolution. - Ming-Chun Yang; Ting-Yao Hu; Chang-Heng Wang; Yu-Chiang Frank Wang (VCIP, 2011)

Discriminative Fuzzy Clustering Maximum a Posterior Linear Regression for Speaker Adaptation. - Ting-Yao Hu; Yu Tsao 001; Lin-Shan Lee (INTERSPEECH, 2012)

Ensemble of machine learning and acoustic segment model techniques for speech emotion and autism spectrum disorders recognition. - Hung-yi Lee; Ting-Yao Hu; How Jing; Yun-Fan Chang; Yu Tsao 001; Yu-Cheng Kao; Tsang-Long Pao (INTERSPEECH, 2013)

Ensemble of machine learning algorithms for cognitive and physical speaker load detection. - How Jing; Ting-Yao Hu; Hung-Shin Lee; Wei-Chen Chen; Chi-Chun Lee; Yu Tsao 001; Hsin-Min Wang (INTERSPEECH, 2014)

Incorporating local information of the acoustic environments to MAP-based feature compensation and acoustic model adaptation. - Yu Tsao 001; Xugang Lu; Paul R. Dixon; Ting-Yao Hu; Shigeki Matsuda; Chiori Hori (Comput. Speech Lang., 2014)

Variable Selection Linear Regression for Robust Speech Recognition. - Yu Tsao 001; Ting-Yao Hu; Sakriani Sakti; Satoshi Nakamura 001; Lin-Shan Lee (IEICE Trans. Inf. Syst., 2014)

Ensemble environment modeling using affine transform group. - Yu Tsao 001; Payton Lin; Ting-Yao Hu; Xugang Lu (Speech Commun., 2015)

Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System. - Ting-Yao Hu; Chirag Raman; Salvador Medina Maza; Liangke Gui; Tadas Baltrusaitis; Robert E. Frederking; Louis-Philippe Morency; Alan W. Black; Maxine Eskénazi (AAAI, 2017)

Complex spectrogram enhancement by convolutional neural network with multi-metrics learning. - Szu-Wei Fu; Ting-Yao Hu; Yu Tsao 001; Xugang Lu (MLSP, 2017)

Multi-Metrics Learning for Speech Enhancement. - Szu-Wei Fu; Ting-Yao Hu; Yu Tsao 001; Xugang Lu (CoRR, 2017)

Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. - Jia Chen 001; Shizhe Chen; Qin Jin; Alexander G. Hauptmann; Po-Yao Huang 001; Junwei Liang 001; Vaibhav; Xiaojun Chang; Jiang Liu 011; Ting-Yao Hu; Wenhe Liu; Wei Ke; et al. (TRECVID, 2018)

Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification. - Ting-Yao Hu; Xiaojun Chang; Alexander G. Hauptmann (CoRR, 2018)

Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation. - Ting-Yao Hu; Alexander G. Hauptmann (ICMR, 2019)

Minding the Gaps in a Video Action Analysis Pipeline. - Jia Chen 001; Jiang Liu 011; Junwei Liang 001; Ting-Yao Hu; Wei Ke; Wayner Barrios; Dong Huang 007; Alexander G. Hauptmann (WACV Workshops, 2019)

Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. - Ting-Yao Hu; Ashish Shrivastava 001; Oncel Tuzel; Chandra Dhir (ICASSP, 2020)

RISE Video Dataset: Recognizing Industrial Smoke Emissions. - Yen-Chia Hsu; Ting-Hao K. Huang; Ting-Yao Hu; Paul Dille; Sean Prendi; Ryan Hoffman; Anastasia Tsuhlares; Randy Sargent; Illah R. Nourbakhsh (CoRR, 2020)

Project RISE: Recognizing Industrial Smoke Emissions. - 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 (AAAI, 2021)

Statistical Distance Metric Learning for Image Set Retrieval. - Ting-Yao Hu; Alexander G. Hauptmann (ICASSP, 2021)

SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. - Ting-Yao Hu; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Stefan Braun; Kyuyeon Hwang; Ozlem Kalinli; Oncel Tuzel (ICASSP, 2021)

Pose Guided Person Image Generation With Hidden P-Norm Regression. - Ting-Yao Hu; Alexander G. Hauptmann (ICIP, 2021)

Subspace Representation Learning for Few-shot Image Classification. - Ting-Yao Hu; Zhi-Qi Cheng; Alexander G. Hauptmann (CoRR, 2021)

SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. - Ting-Yao Hu; Mohammadreza Armandpour; Ashish Shrivastava 001; Jen-Hao Rick Chang; Hema Koppula; Oncel Tuzel (ICASSP, 2022)

I see what you hear: a vision-inspired method to localize words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Minsik Cho; Aman Chadha; Ashish Shrivastava 001; Oncel Tuzel; Devang Naik (CoRR, 2022)

I See What You Hear: A Vision-Inspired Method to Localize Words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Aman Chadha; Ashish Srivastava; Minsik Cho; Oncel Tuzel; Devang Naik (ICASSP, 2023)

Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. - Karren D. Yang; Ting-Yao Hu; Jen-Hao Rick Chang; Hema Swetha Koppula; Oncel Tuzel (ICASSP, 2023)

MUSCLE: A Model Update Strategy for Compatible LLM Evolution. - Jessica Maria Echterhoff; Fartash Faghri; Raviteja Vemulapalli; Ting-Yao Hu; Chun-Liang Li; Oncel Tuzel; Hadi Pouransari (EMNLP (Findings), 2024)

Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. - Hsuan Su; Ting-Yao Hu; Hema Swetha Koppula; Raviteja Vemulapalli; Jen-Hao Rick Chang; Karren D. Yang; Gautam Varma Mantena; Oncel Tuzel (ICASSP, 2024)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. - Yen-Ju Lu; Ting-Yao Hu; Hema Swetha Koppula; Hadi Pouransari; Jen-Hao Rick Chang; Yin Xia; Xiang Kong; Qi Zhu 011; Simon Wang; Oncel Tuzel; Raviteja Vemulapalli (NAACL (Findings), 2025)