| 2026 | ACL | Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented Generation. | Hieu Man, Ro-ee Tal, Abhishek Kumar, Jaejin Cho, Benjamin Hsu |
| 2025 | ICASSP | 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 |
| 2025 | ICML | 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 |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | 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 |
| 2023 | MICCAI | Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction. | Jaejin Cho, Yohan Jun, Xiaoqing Wang, Caique Kobayashi, Berkin Bilgic |
| 2022 | Interspeech | Non-contrastive self-supervised learning of utterance-level speech representations. | Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velzquez, Jess Villalba, Najim Dehak |
| 2021 | ICASSP | Improving Reconstruction Loss Based Speaker Embedding in Unsupervised and Semi-Supervised Scenarios. | Jaejin Cho, Piotr Zelasko, Jess Villalba, Najim Dehak |
| 2021 | Interspeech | Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. | Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velzquez, Piotr Zelasko, Jess Villalba, Najim Dehak |
| 2020 | Interspeech | Learning Speaker Embedding from Text-to-Speech. | Jaejin Cho, Piotr Zelasko, Jess Villalba, Shinji Watanabe, Najim Dehak |
| 2020 | Interspeech | 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-Velzquez, Najim Dehak |
| 2019 | ICASSP | Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition. | Jaejin Cho, Shinji Watanabe, Takaaki Hori, Murali Karthick Baskar, Hirofumi Inaguma, Jess Villalba, Najim Dehak |
| 2019 | ICASSP | Transfer Learning of Language-independent End-to-end ASR with Language Model Fusion. | Hirofumi Inaguma, Jaejin Cho, Murali Karthick Baskar, Tatsuya Kawahara, Shinji Watanabe |
| 2019 | Interspeech | Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. | Laureano Moro-Velzquez, Jaejin Cho, Shinji Watanabe, Mark A. Hasegawa-Johnson, Odette Scharenborg, Heejin Kim, Najim Dehak |
| 2018 | Interspeech | Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. | Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jess Villalba, Yishay Carmiel, Najim Dehak |