* Equal contribution. Links open the publisher, paper, or project page.
2026
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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models
Chun-Yi Kuan, Siwon Kim, Byeonggeun Kim, Suyoun Kim, Bo-Ru Lu, Qingming Tang, Ankur Gandhe, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
INTERSPEECH 2026 (Oral) · mentored internship work
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Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation
Kuan-Po Huang, Bo-Ru Lu, Byeonggeun Kim, Mihee Lee, Zalan Fabian, Renard Korzeniowski, Qingming Tang, Greg Ver Steeg, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
arXiv preprint, 2026 · mentored internship work
2025
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Amazon Nova 2: Multimodal reasoning and generation models
Amazon Artificial General Intelligence
Amazon Technical Report, 2025
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Unlocking Transfer Learning for Open-World Few-Shot Recognition
Byeonggeun Kim*, Jun-Tae Lee*, Kyuhong Shim, Simyung Chang
NeurIPS 2025 — Reliable ML Workshop
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Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction
Shu-wen Yang, Byeonggeun Kim, Kuan-Po Huang, Qingming Tang, Huy Phan, Bo-Ru Lu, Harshavardhan Sundar, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
ICML 2025 · mentored internship work
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IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
Kuan-Po Huang, Shu-wen Yang, Huy Phan, Bo-Ru Lu, Byeonggeun Kim, Sashank Macha, Qingming Tang, Shalini Ghosh, Hung-yi Lee, Chieh-Chi Kao, Chao Wang
ICML 2025 · mentored internship work
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Effective Techniques for Scaling Audio Encoder Pretraining
Byeonggeun Kim*, Andrew Bydlon*, Qingming Tang, Huy Phan, Chieh-Chi Kao, Tao Zhang, Chao Wang
ICASSP 2025 (Oral)
2024
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Cross-Triggering Issue in Audio Event Detection and Mitigation
Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang
ICASSP 2024
2023
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Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition
Byeonggeun Kim*, Jun-Tae Lee*, Kyuhong Shim, Simyung Chang
ICIP 2023
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Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data
Seunghan Yang, Byeonggeun Kim, Kyuhong Shim, Simyung Chang
INTERSPEECH 2023 (Oral)
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Scalable Weight Reparametrization for Efficient Transfer Learning
Byeonggeun Kim*, Jun-Tae Lee*, Seunghan Yang, Simyung Chang
ICASSP 2023 (Oral)
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TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
ICLR 2023 · mentored internship work
2022
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Dummy Prototypical Networks for Few-shot Open-set Keyword Spotting
Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang
INTERSPEECH 2022
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Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification
Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang
INTERSPEECH 2022
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Personalized Keyword Spotting through Multi-task Learning
Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang
INTERSPEECH 2022 (Oral)
2021
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Broadcasted Residual Learning for Efficient Keyword Spotting (BCResNets)
Byeonggeun Kim*, Simyung Chang*, Jinkyu Lee, Dooyong Sung
INTERSPEECH 2021
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Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization
Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
DCASE 2021 Workshop
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QTI submission to DCASE 2021: Residual normalization for device imbalanced acoustic scene classification with efficient design
Byeonggeun Kim, Seunghan Yang, Jangho Kim, Simyung Chang
DCASE Challenge 2021 — 1st place winner
2019
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Orthogonality Constrained Multi-Head Attention For Keyword Spotting
Mingu Lee, Jinkyu Lee, Hye Jin Jang, Byeonggeun Kim, Wonil Chang, Kyuwoong Hwang
IEEE ASRU 2019
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Query-by-Example On-Device Keyword Spotting
Byeonggeun Kim, Mingu Lee, Jinkyu Lee, Yeonseok Kim, Kyuwoong Hwang
IEEE ASRU 2019