Ting-Yao Hu - RankMe

41 papers A* 2A 3B 3C 2Misc 7Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	COMPASS: A Multi-Turn Benchmark for Tool-Mediated Planning & Preference Optimization. CoRR Tian Qin, Felix Bai, Ting-Yao Hu, Raviteja Vemulapalli, Hema Swetha Koppula, Zhiyang Xu, Bowen Jin, Mert Cemri, Jiarui Lu, Zirui Wang, Meng Cao
2025	J	`jnl`	Learning from Self Critique and Refinement for Faithful LLM Summarization. CoRR Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Cem Koc, Oncel Tuzel, Raviteja Vemulapalli
2025	J	`jnl`	Learning to Reason for Hallucination Span Detection. CoRR Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
2025	—	`conf`	Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. NAACL (Findings) Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025	J	`jnl`	Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. CoRR Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2024	Misc	`conf`	Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. ICASSP Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2024	—	`conf`	MUSCLE: A Model Update Strategy for Compatible LLM Evolution. EMNLP (Findings) Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024	J	`jnl`	MUSCLE: A Model Update Strategy for Compatible LLM Evolution. CoRR Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2023	J	`jnl`	Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models. CoRR Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2023	Misc	`conf`	I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
2023	J	`jnl`	Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis. CoRR Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
2023	Misc	`conf`	Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis. ICASSP Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
2022	J	`jnl`	I see what you hear: a vision-inspired method to localize words. CoRR Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
2022	Misc	`conf`	SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. ICASSP Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2021	B	`conf`	Pose Guided Person Image Generation With Hidden P-Norm Regression. ICIP Ting-Yao Hu, Alexander G. Hauptmann
2021	J	`jnl`	Pose Guided Person Image Generation with Hidden p-Norm Regression. CoRR Ting-Yao Hu, Alexander G. Hauptmann
2021	A*	`conf`	Project RISE: Recognizing Industrial Smoke Emissions. AAAI 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
2021	Misc	`conf`	SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2021	Misc	`conf`	Statistical Distance Metric Learning for Image Set Retrieval. ICASSP Ting-Yao Hu, Alexander G. Hauptmann
2021	J	`jnl`	Subspace Representation Learning for Few-shot Image Classification. CoRR Ting-Yao Hu, Zhi-Qi Cheng, Alexander G. Hauptmann
2021	J	`jnl`	Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. CoRR Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2020	J	`jnl`	RISE Video Dataset: Recognizing Industrial Smoke Emissions. CoRR Yen-Chia Hsu, Ting-Hao K. Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Randy Sargent, Illah R. Nourbakhsh
2020	J	`jnl`	SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2020	Misc	`conf`	Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. ICASSP Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
2020	J	`jnl`	Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. CoRR Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
2019	—	`conf`	Minding the Gaps in a Video Action Analysis Pipeline. WACV Workshops Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, Wayner Barrios, Dong Huang, Alexander G. Hauptmann
2019	B	`conf`	Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation. ICMR Ting-Yao Hu, Alexander G. Hauptmann
2018	—	`conf`	Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video. TRECVID 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
2018	J	`jnl`	Learning Distributional Representation and Set Distance for Multi-shot Person Re-identification. CoRR Ting-Yao Hu, Xiaojun Chang, Alexander G. Hauptmann
2017	—	`conf`	Complex spectrogram enhancement by convolutional neural network with multi-metrics learning. MLSP Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu
2017	A*	`conf`	Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System. AAAI Ting-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert E. Frederking, Louis-Philippe Morency, Alan W. Black, Maxine Eskénazi
2017	J	`jnl`	Multi-Metrics Learning for Speech Enhancement. CoRR Szu-Wei Fu, Ting-Yao Hu, Yu Tsao, Xugang Lu
2015	J	`jnl`	Ensemble environment modeling using affine transform group. Speech Commun. Yu Tsao, Payton Lin, Ting-Yao Hu, Xugang Lu
2014	A	`conf`	Ensemble of machine learning algorithms for cognitive and physical speaker load detection. INTERSPEECH How Jing, Ting-Yao Hu, Hung-Shin Lee, Wei-Chen Chen, Chi-Chun Lee, Yu Tsao, Hsin-Min Wang
2014	J	`jnl`	Incorporating local information of the acoustic environments to MAP-based feature compensation and acoustic model adaptation. Comput. Speech Lang. Yu Tsao, Xugang Lu, Paul R. Dixon, Ting-Yao Hu, Shigeki Matsuda, Chiori Hori
2014	J	`jnl`	Variable Selection Linear Regression for Robust Speech Recognition. IEICE Trans. Inf. Syst. Yu Tsao, Ting-Yao Hu, Sakriani Sakti, Satoshi Nakamura, Lin-Shan Lee
2013	A	`conf`	Ensemble of machine learning and acoustic segment model techniques for speech emotion and autism spectrum disorders recognition. INTERSPEECH Hung-yi Lee, Ting-Yao Hu, How Jing, Yun-Fan Chang, Yu Tsao, Yu-Cheng Kao, Tsang-Long Pao
2012	A	`conf`	Discriminative Fuzzy Clustering Maximum a Posterior Linear Regression for Speaker Adaptation. INTERSPEECH Ting-Yao Hu, Yu Tsao, Lin-Shan Lee
2011	B	`conf`	Learning context-aware sparse representation for single image super-resolution. ICIP Ming-Chun Yang, Chang-Heng Wang, Ting-Yao Hu, Yu-Chiang Frank Wang
2011	C	`conf`	Learning of context-aware single image super-resolution. VCIP Ming-Chun Yang, Ting-Yao Hu, Chang-Heng Wang, Yu-Chiang Frank Wang
2010	C	`conf`	Automatic Transcription for Music with Two Timbres from Monaural Sound Source. ISM Yuh Shyang Wang, Ting-Yao Hu, Shyh-Kang Jeng