A bit reduction algorithm for Spectral Band Replication based on human auditory characteristics. - Sang Bae Chon; Hee-Suk Pang; Mingu Lee; Koeng-Mo Sung (IEICE Electron. Express, 2009)

Optimizing the sound pressure levels at low frequency limits of electrodynamic loudspeakers. - Jung Uk Noh; Seokjin Lee; Mingu Lee; Koeng-Mo Sung (IEICE Electron. Express, 2009)

A novel audio stream segmentation method for audio signal discrimination. - Mingu Lee; Sang Bae Chon; Jee Ho Park; Koeng-Mo Sung (IEICE Electron. Express, 2010)

Linear-scale perceptual feature extraction for Speech Bandwidth Extensions. - Kuekjae Lee; Sang Bae Chon; Mingu Lee; Koeng-Mo Sung (IEICE Electron. Express, 2011)

Efficient Reconstruction of Speakerphone-Mode Cellular Phone Sound for Application to Sound Quality Assessment. - Hee-Suk Pang; Jun-Seok Lim; Oh-Jin Kwon; Sang Bae Chon; Mingu Lee; Jeong-Hun Seo (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Buddy: Interactive Toy that can Play, Grow, and Remember with Baby. - Jiyong Kim; Hyunsu Jeong; Changhyeon Lee; Azure Yvette Pham; Thiha Soe; Pilwoo Lee; Mingu Lee; Seung-Woo Kim; Juhyun Eune (CHI Extended Abstracts, 2017)

Peekabot: Robot that Helps Children's Cognitive/Physical Development. - Qiqi Liu; Minchul Sa; Hyunkyu Lee; Mingu Lee; Seong Woo Kim; Juhyun Eune (CHI Extended Abstracts, 2017)

Introduction of an Interactive Growing Robot/Toy for Babies. - Jiyong Kim; Hyunsu Jeong; Azure Yvette Pham; Changhyeon Lee; Thiha Soe; Pilwoo Lee; Mingu Lee; Seong Woo Kim; Juhyun Eune (CSA/CUTE, 2017)

Query-by-Example On-Device Keyword Spotting. - Byeonggeun Kim; Mingu Lee; Jinkyu Lee 004; Yeonseok Kim; Kyuwoong Hwang (ASRU, 2019)

Orthogonality Constrained Multi-Head Attention for Keyword Spotting. - Mingu Lee; Jinkyu Lee 004; Hye Jin Jang; Byeonggeun Kim; Wonil Chang; Kyuwoong Hwang (ASRU, 2019)

Painter: Teaching Auto-regressive Language Models to Draw Sketches. - Reza Pourreza 002; Apratim Bhattacharyya; Sunny Panchal; Mingu Lee; Pulkit Madan; Roland Memisevic (ICCV (Workshops), 2023)

Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions. - Mingu Lee; Saurabh Pitre; Tianyu Jiang 004; Pierre-David Letourneau; Matthew J. Morse; Kanghwan Jang; Joseph Soriaga; Parham Noorzad; Hsin-Pai Cheng; Christopher Lott (ICLR, 2023)

Deductive Verification of Chain-of-Thought Reasoning. - Zhan Ling; Yunhao Fang; Xuanlin Li; Zhiao Huang; Mingu Lee; Roland Memisevic; Hao Su 001 (NeurIPS, 2023)

Look, Remember and Reason: Visual Reasoning with Grounded Rationales. - Apratim Bhattacharyya; Sunny Panchal; Mingu Lee; Reza Pourreza 002; Pulkit Madan; Roland Memisevic (CoRR, 2023)

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. - Zhan Ling; Yunhao Fang; Xuanlin Li; Tongzhou Mu; Mingu Lee; Reza Pourreza 002; Roland Memisevic; Hao Su 001 (CoRR, 2023)

AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability. - Sudhanshu Agrawal; Wonseok Jeon; Mingu Lee (ENLSP, 2024)

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. - Apratim Bhattacharyya; Sunny Panchal; Reza Pourreza 002; Mingu Lee; Pulkit Madan; Roland Memisevic (ICLR, 2024)

What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction. - Sunny Panchal; Apratim Bhattacharyya; Guillaume Berger; Antoine Mercier 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (NeurIPS, 2024)

Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement. - Wonseok Jeon; Mukul Gagrani; Raghavv Goel; Junyoung Park; Mingu Lee; Christopher Lott (CoRR, 2024)

Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs. - Raghavv Goel; Mukul Gagrani; Wonseok Jeon; Junyoung Park; Mingu Lee; Christopher Lott (CoRR, 2024)

On Speculative Decoding for Multimodal Large Language Models. - Mukul Gagrani; Raghavv Goel; Wonseok Jeon; Junyoung Park; Mingu Lee; Christopher Lott (CoRR, 2024)

ToSA: Token Selective Attention for Efficient Vision Transformers. - Manish Kumar Singh 002; Rajeev Yasarla; Hong Cai; Mingu Lee; Fatih Porikli (CoRR, 2024)

Live Fitness Coaching as a Testbed for Situated Interaction. - Sunny Panchal; Apratim Bhattacharyya; Guillaume Berger; Antoine Mercier 005; Cornelius Böhm; Florian Dietrichkeit; Reza Pourreza 002; Xuanlin Li; Pulkit Madan; Mingu Lee; Mark Todorovich; Ingo Bax; et al. (CoRR, 2024)

An NLP-Driven Approach Using Twitter Data for Tailored K-pop Artist Recommendations. - Sora Kang; Mingu Lee (CoRR, 2025)

CAOTE: KV Caching through Attention Output Error based Token Eviction. - Raghavv Goel; Junyoung Park; Mukul Gagrani; Dalton Jones; Matthew J. Morse; Harper Langston; Mingu Lee; Christopher Lott (CoRR, 2025)

KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments. - Junyoung Park; Dalton Jones; Matthew J. Morse; Raghavv Goel; Mingu Lee; Christopher Lott (CoRR, 2025)

VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs. - Raghavv Goel; Sudhanshu Agrawal; Mukul Gagrani; Junyoung Park; Yifan Zao; He Zhang; Tian Liu; Yiping Yang; Xin Yuan; Jiuyan Lu; Chris Lott; Mingu Lee (CoRR, 2025)