Mark A. Hasegawa-Johnson

27 papers A* 6A 4Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, challenges, and opportunities. IEEE Signal Process. Mag. Jialu Li, Marvin Lavechin, Xulin Fan, Nancy L. McElwain, Alejandrina Cristià, L. Paola García-Perera, Mark A. Hasegawa-Johnson
2025	A*	`conf`	Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models. ICLR Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson, Chang D. Yoo
2025	J	`jnl`	Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models. CoRR Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson, Chang D. Yoo
2025	A*	`conf`	ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization. ICML Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2025	J	`jnl`	PACR: Progressively Ascending Confidence Reward for LLM Reasoning. CoRR Eunseop Yoon, Hee Suk Yoon, Jaehyun Jang, SooHwan Eom, Qi Dai, Chong Luo, Mark A. Hasegawa-Johnson, Chang D. Yoo
2024	A*	`conf`	C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. ICLR Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo
2024	A*	`conf`	Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. ICML Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang
2024	J	`jnl`	TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, DaeJin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
2023	J	`jnl`	A Theory of Unsupervised Speech Recognition. CoRR Liming Wang, Mark A. Hasegawa-Johnson, Chang D. Yoo
2019	A	`conf`	Learning Speaker Aware Offsets for Speaker Adaptation of Neural Networks. INTERSPEECH Leda Sari, Samuel Thomas, Mark A. Hasegawa-Johnson
2019	A	`conf`	Multimodal Word Discovery and Retrieval with Phone Sequence and Image Concepts. INTERSPEECH Liming Wang, Mark A. Hasegawa-Johnson
2019	A	`conf`	Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. INTERSPEECH Laureano Moro-Velázquez, Jaejin Cho, Shinji Watanabe, Mark A. Hasegawa-Johnson, Odette Scharenborg, Heejin Kim, Najim Dehak
2019	A	`conf`	The Neural Correlates Underlying Lexically-Guided Perceptual Learning. INTERSPEECH Odette Scharenborg, Jiska Koemans, Cybelle Smith, Mark A. Hasegawa-Johnson, Kara D. Federmeier
2019	J	`jnl`	The role of cue enhancement and frequency fine-tuning in hearing impaired phone recognition. CoRR Ali Abavisani, Mark A. Hasegawa-Johnson
2018	J	`jnl`	Multitask Learning for Phone Recognition of Underresourced Languages Using Mismatched Transcription. IEEE ACM Trans. Audio Speech Lang. Process. Van Hai Do, Nancy F. Chen, Boon Pang Lim, Mark A. Hasegawa-Johnson
2017	J	`jnl`	ASR for Under-Resourced Languages From Probabilistic Transcription. IEEE ACM Trans. Audio Speech Lang. Process. Mark A. Hasegawa-Johnson, Preethi Jyothi, Daniel McCloy, Majid Mirbagheri, Giovanni M. Di Liberto, Amit Das, Bradley Ekin, Chunxi Liu, Vimal Manohar, Hao Tang, Edmund C. Lalor, Nancy F. Chen, Paul Hager, Tyler Kekona, Rose Sloan, Adrian K. C. Lee
2017	—	`conf`	Dilated Recurrent Neural Networks. NIPS Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	—	`conf`	Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	J	`jnl`	Fast Generation for Convolutional Autoregressive Models. CoRR Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	A*	`conf`	Streaming Recommender Systems. WWW Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	J	`jnl`	Fast Wavenet Generation Algorithm. CoRR Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	A*	`conf`	Positive-Unlabeled Learning in Streaming Networks. KDD Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	J	`jnl`	Streaming Recommender Systems. CoRR Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2014	J	`jnl`	Mixed stereo audio classification using a stereo-input mixed-to-panned level feature. IEEE ACM Trans. Audio Speech Lang. Process. Austin Chen, Mark A. Hasegawa-Johnson
2009	J	`jnl`	Sensitive Talking Heads [Applications Corner]. IEEE Signal Process. Mag. Thomas S. Huang, Mark A. Hasegawa-Johnson, Stephen M. Chu, Zhihong Zeng, Hao Tang
2008	J	`jnl`	Brain anatomy differences in childhood stuttering. NeuroImage Soo-Eun Chang, Kirk I. Erickson, Nicoline G. Ambrose, Mark A. Hasegawa-Johnson, Christy L. Ludlow
1996	—	`—`	Formant and burst spectral measurements with quantitative error models for speech sound classification. Mark A. Hasegawa-Johnson