Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. - Jaejin Cho; Raghavendra Pappagari; Purva Kulkarni; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (INTERSPEECH, 2018)

Multilingual Sequence-to-Sequence Speech Recognition: Architecture, Transfer Learning, and Language Modeling. - Jaejin Cho; Murali Karthick Baskar; Ruizhi Li; Matthew Wiesner; Sri Harish Mallidi; Nelson Yalta; Martin Karafiát; Shinji Watanabe 001; Takaaki Hori (SLT, 2018)

End-to-end Speech Recognition With Word-Based Rnn Language Models. - Takaaki Hori; Jaejin Cho; Shinji Watanabe 001 (SLT, 2018)

Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition. - Jaejin Cho; Shinji Watanabe 001; Takaaki Hori; Murali Karthick Baskar; Hirofumi Inaguma; Jesús Villalba 001; Najim Dehak (ICASSP, 2019)

Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion. - Hirofumi Inaguma; Jaejin Cho; Murali Karthick Baskar; Tatsuya Kawahara; Shinji Watanabe 001 (ICASSP, 2019)

Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. - Laureano Moro-Velázquez; Jaejin Cho; Shinji Watanabe 001; Mark A. Hasegawa-Johnson; Odette Scharenborg; Heejin Kim; Najim Dehak (INTERSPEECH, 2019)

Learning Speaker Embedding from Text-to-Speech. - Jaejin Cho; Piotr Zelasko; Jesús Villalba 001; Shinji Watanabe 001; Najim Dehak (INTERSPEECH, 2020)

Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. - Raghavendra Pappagari; Jaejin Cho; Laureano Moro-Velázquez; Najim Dehak (INTERSPEECH, 2020)

Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. - Jaejin Cho; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (ICASSP, 2021)

Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. - Raghavendra Pappagari; Jaejin Cho; Sonal Joshi; Laureano Moro-Velázquez; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

The JHU submission to VoxSRC-21: Track 3. - Jaejin Cho; Jesús Villalba 001; Najim Dehak (CoRR, 2021)

Non-contrastive self-supervised learning of utterance-level speech representations. - Jaejin Cho; Raghavendra Pappagari; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2022)

Advances in Speaker Recognition for Multilingual Conversational Telephone Speech: The JHU-MIT System for NIST SRE20 CTS Challenge. - Jesús Villalba 001; Bengt J. Borgstrom; Saurabh Kataria 001; Jaejin Cho; Pedro A. Torres-Carrasquillo; Najim Dehak (Odyssey, 2022)

Advances in Cross-Lingual and Cross-Source Audio-Visual Speaker Recognition: The JHU-MIT System for NIST SRE21. - Jesús Villalba 001; Bengt J. Borgstrom; Saurabh Kataria 001; Magdalena Rybicka; Carlos D. Castillo; Jaejin Cho; L. Paola García-Perera; Pedro A. Torres-Carrasquillo; Najim Dehak (Odyssey, 2022)

Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction. - Jaejin Cho; Borjan A. Gagoski; Tae Hyung Kim 001; Qiyuan Tian; Stephen Robert Frost; Itthi Chatnuntawech; Berkin Bilgic (CoRR, 2022)

Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech. - Jaejin Cho; Jesús Villalba 001; Laureano Moro-Velázquez; Najim Dehak (IEEE J. Sel. Top. Signal Process., 2022)

Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction. - Jaejin Cho; Yohan Jun; Xiaoqing Wang 003; Caique Kobayashi; Berkin Bilgic (MICCAI (1), 2023)

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss. - Rakshith Sharma Srinivasa; Jaejin Cho; Chouchang Yang; Yashas Malur Saidutta; Ching Hua Lee; Yilin Shen; Hongxia Jin (NeurIPS, 2023)

End-To-End Personalized Cuff-Less Blood Pressure Monitoring Using ECG and PPG Signals. - Suhas BN; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Zero-Shot Intent Classification Using a Semantic Similarity Aware Contrastive Loss and Large Language Model. - Jaejin Cho; Rakshith Sharma Srinivasa; Ching Hua Lee; Yashas Malur Saidutta; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2024)

Leveraging Self-Supervised Speech Representations for Domain Adaptation in Speech Enhancement. - Ching Hua Lee; Chouchang Yang; Rakshith Sharma Srinivasa; Yashas Malur Saidutta; Jaejin Cho; Yilin Shen; Hongxia Jin (ICASSP, 2024)

CIFD: Controlled Information Flow to Enhance Knowledge Distillation. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (NeurIPS, 2024)

Enhanced Partial Fourier MRI With Zero-Shot Deep Untrained Priors. - So Hyun Kang; Jihoo Kim; Jaejin Cho; Clarissa Zimmerman Cooley; Amir Heydari; Berkin Bilgic; Tae Hyung Kim 001 (IEEE Access, 2024)

NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction. - Xinrui Jiang; Yohan Jun; Jaejin Cho; Mengze Gao; Xingwang Yong; Berkin Bilgic (CoRR, 2024)

MIB: Mixed Information Bottleneck for Out-of-Distribution Keyword Spotting. - Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Jaejin Cho; Ching Hua Lee; Chouchang Yang; Yilin Shen; Hongxia Jin (ICASSP, 2025)

RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior. - Ching Hua Lee; Chouchang Yang; Jaejin Cho; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin (CoRR, 2025)