On Spectral Basis Selection for Single Channel Polyphonic Music Separation. - Minje Kim; Seungjin Choi (ICANN (2), 2005)

Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance. - Minje Kim; Seungjin Choi (ICA, 2006)

ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. - Minje Kim; Seungjin Choi (ICPR (1), 2006)

Blind rhythmic source separation: Nonnegativity and repeatability. - Minje Kim; Jiho Yoo; Kyeongok Kang; Seungjin Choi (ICASSP, 2010)

Nonnegative matrix partial co-factorization for drum source separation. - Jiho Yoo; Minje Kim; Kyeongok Kang; Seungjin Choi (ICASSP, 2010)

Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation. - Minje Kim; Jiho Yoo; Kyeongok Kang; Seungjin Choi (IEEE J. Sel. Top. Signal Process., 2011)

Stereophonic spectrogram segmentation using Markov random fields. - Minje Kim; Paris Smaragdis; Glenn G. Ko; Rob A. Rutenbar (MLSP, 2012)

Collaborative audio enhancement using probabilistic latent component sharing. - Minje Kim; Paris Smaragdis (ICASSP, 2013)

Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. - Minje Kim; Paris Smaragdis (ICML (3), 2013)

EMERALD: Characterization of emerging applications and algorithms for low-power devices. - Chuanjun Zhang; Glenn G. Ko; Jungwook Choi; Shang-nien Tsai; Minje Kim; Abner Guzmán-Rivera; Rob A. Rutenbar; Paris Smaragdis; Mi Sun Park; Vijaykrishnan Narayanan; Hongyi Xin; Onur Mutlu; et al. (ISPASS, 2013)

Single channel source separation using smooth Nonnegative Matrix Factorization with Markov Random Fields. - Minje Kim; Paris Smaragdis (MLSP, 2013)

Non-negative matrix factorization for irregularly-spaced transforms. - Paris Smaragdis; Minje Kim (WASPAA, 2013)

Efficient model selection for speech enhancement using a deflation method for Nonnegative Matrix Factorization. - Minje Kim; Paris Smaragdis (GlobalSIP, 2014)

Deep learning for monaural speech separation. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (ICASSP, 2014)

Phase and level difference fusion for robust multichannel source separation. - Johannes Traa; Minje Kim; Paris Smaragdis (ICASSP, 2014)

Experiments on deep learning for speech denoising. - Ding Liu; Paris Smaragdis; Minje Kim (INTERSPEECH, 2014)

Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (ISMIR, 2014)

Adaptive Denoising Autoencoders: A Fine-Tuning Scheme to Learn from Test Mixtures. - Minje Kim; Paris Smaragdis (LVA/ICA, 2015)

Efficient manifold preserving audio source separation using locality sensitive hashing. - Minje Kim; Paris Smaragdis; Gautham J. Mysore (ICASSP, 2015)

Exploiting structured human interactions to enhance estimation accuracy in cyber-physical systems. - Yunlong Gao; Shaohan Hu; Renato Mancuso 001; Hongwei Wang; Minje Kim; Po-Liang Wu; Lu Su 001; Lui Sha; Tarek F. Abdelzaher (ICCPS, 2015)

Mixtures of Local Dictionaries for Unsupervised Speech Enhancement. - Minje Kim; Paris Smaragdis (IEEE Signal Process. Lett., 2015)

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. - Po-Sen Huang; Minje Kim; Mark Hasegawa-Johnson; Paris Smaragdis (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings. - Minje Kim; Paris Smaragdis (ICASSP, 2016)

Bitwise Neural Networks. - Minje Kim; Paris Smaragdis (CoRR, 2016)

Collaborative Deep Learning for speech enhancement: A run-time model selection method using autoencoders. - Minje Kim (ICASSP, 2017)

Towards expressive instrument synthesis through smooth frame-by-frame reconstruction: From string to woodwind. - Sanna Wager; Liang Chen; Minje Kim; Christopher Raphael (ICASSP, 2017)

XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs. - Lei Jiang 001; Minje Kim; Wujie Wen; Danghui Wang (ISLPED, 2017)

On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems. - Hongwei Wang; Yunlong Gao; Shaohan Hu; Shiguang Wang; Renato Mancuso 001; Minje Kim; Po-Liang Wu; Lu Su 001; Lui Sha; Tarek F. Abdelzaher (ACM Trans. Cyber Phys. Syst., 2017)

Creative leaps in musical ecosystems: early warning signals of critical transitions in professional jazz. - Matthew Setzler; Tyler Marghetis; Minje Kim (CogSci, 2018)

Collaborative Speech Dereverberation: Regularized Tensor Factorization for Crowdsourced Multi-Channel Recordings. - Sanna Wager; Minje Kim (EUSIPCO, 2018)

Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics. - Lijiang Guo; Minje Kim (ICASSP, 2018)

Bitwise Neural Networks for Efficient Single-Channel Source Separation. - Minje Kim; Paris Smaragdis (ICASSP, 2018)

DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car. - Michael Garrett Bechtel; Elise McEllhiney; Minje Kim; Heechul Yun (RTCSA, 2018)

On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising. - Kai Zhen; Aswin Sivaraman; Jongmo Sung; Minje Kim (CoRR, 2018)

A Data-Driven Approach to Smooth Pitch Correction for Singing Voice in Pop Music. - Sanna Wager; Lijiang Guo; Aswin Sivaraman; Minje Kim (CoRR, 2018)

Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. - Vibhatha Lakmal Abeykoon; Geoffrey Charles Fox; Minje Kim (CCGRID, 2019)

Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation. - Sunwoo Kim 003; Mrinmoy Maity; Minje Kim (ICASSP, 2019)

Intonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruence. - Sanna Wager; George Tzanetakis; Stefan Sullivan; Cheng-i Wang; John Shimmin; Minje Kim; Perry Cook (ICASSP, 2019)

Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. - Kai Zhen; Jongmo Sung; Mi Suk Lee; Seungkwon Beack; Minje Kim (INTERSPEECH, 2019)

Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. - Geoffrey C. Fox; James A. Glazier; J. C. S. Kadupitiya; Vikram Jadhao; Minje Kim; Judy Qiu; James P. Sluka; Endre T. Somogyi; Madhav V. Marathe; Abhijin Adiga; Jiangzhuo Chen; Oliver Beckstein; et al. (IPDPS Workshops, 2019)

Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances. - Sanna Wager; George Tzanetakis; Cheng-i Wang; Lijiang Guo; Aswin Sivaraman; Minje Kim (CoRR, 2019)

AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. - Qian Lou; Lantao Liu; Minje Kim; Lei Jiang 001 (CoRR, 2019)

Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network. - Kai Zhen; Mi Suk Lee; Minje Kim (CoRR, 2019)

Nearest Neighbor Search-Based Bitwise Source Separation Using Discriminant Winner-Take-All Hashing. - Sunwoo Kim 003; Minje Kim (CoRR, 2019)

Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. - Sunwoo Kim 003; Haici Yang; Minje Kim (ICASSP, 2020)

Deep Autotuner: A Pitch Correcting Network for Singing Performances. - Sanna Wager; George Tzanetakis; Cheng-i Wang; Minje Kim (ICASSP, 2020)

A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement. - Kai Zhen; Mi Suk Lee; Minje Kim (ICASSP, 2020)

Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. - Kai Zhen; Mi Suk Lee; Jongmo Sung; Seungkwon Beack; Minje Kim (ICASSP, 2020)

AutoQ: Automated Kernel-Wise Neural Network Quantization. - Qian Lou; Feng Guo; Minje Kim; Lantao Liu; Lei Jiang 001 (ICLR, 2020)

Sparse Mixture of Local Experts for Efficient Speech Enhancement. - Aswin Sivaraman; Minje Kim (INTERSPEECH, 2020)

Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. - Kai Zhen; Mi Suk Lee; Jongmo Sung; Seungkwon Beack; Minje Kim (IEEE Signal Process. Lett., 2020)

An Open-Sourced Time-Frequency Domain RF Classification Framework. - R. David Badger; Kristopher H. Jung; Minje Kim (EUSIPCO, 2021)

Singular Value Decomposition for Compression of Large-Scale Radio Frequency Signals. - R. David Badger; Minje Kim (EUSIPCO, 2021)

Source-Aware Neural Speech Coding for Noisy Speech Compression. - Haici Yang; Kai Zhen; Seungkwon Beack; Minje Kim (ICASSP, 2021)

Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification. - Aswin Sivaraman; Sunwoo Kim 003; Minje Kim (Interspeech, 2021)

Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation. - Sunwoo Kim 003; Minje Kim (WASPAA, 2021)

Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. - Darius Petermann; Seungkwon Beack; Minje Kim (WASPAA, 2021)

Zero-Shot Personalized Speech Enhancement Through Speaker-Informed Model Selection. - Aswin Sivaraman; Minje Kim (WASPAA, 2021)

Scalable and Efficient Neural Speech Coding. - Kai Zhen; Jongmo Sung; Mi Suk Lee; Seungkwon Beack; Minje Kim (CoRR, 2021)

Self-Supervised Learning for Personalized Speech Enhancement. - Aswin Sivaraman; Minje Kim (CoRR, 2021)

Neural Remixer: Learning to Remix Music with Interactive Control. - Haici Yang; Shivani Firodiya; Nicholas J. Bryan; Minje Kim (CoRR, 2021)

Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. - Sunwoo Kim 003; Minje Kim (ICASSP, 2022)

Spain-Net: Spatially-Informed Stereophonic Music Source Separation. - Darius Petermann; Minje Kim (ICASSP, 2022)

Don't Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization. - Haici Yang; Shivani Firodiya; Nicholas J. Bryan; Minje Kim (ICASSP, 2022)

Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content. - Haici Yang; Sanna Wager; Spencer Russell; Mike Luo; Minje Kim; Wontak Kim (ICASSP, 2022)

Deep Adaptive Aec: Hybrid of Deep Learning and Adaptive Acoustic Echo Cancellation. - Hao Zhang; Srivatsan Kandadai; Harsha Rao; Minje Kim; Tarun Pruthi; Trausti T. Kristjansson (ICASSP, 2022)

Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks. - Vibhatha Abeykoon; Geoffrey C. Fox; Minje Kim; Saliya Ekanayake; Supun Kamburugamuve; Kannan Govindarajan; Pulasthi Wickramasinghe; Niranda Perera; Chathura Widanage; Ahmet Uyar; Gurhan Gunduz; Selahatin Akkas (Concurr. Comput. Pract. Exp., 2022)

Efficient Personalized Speech Enhancement Through Self-Supervised Learning. - Aswin Sivaraman; Minje Kim (IEEE J. Sel. Top. Signal Process., 2022)

Boosted Locality Sensitive Hashing: Discriminative, Efficient, and Scalable Binary Codes for Source Separation. - Sunwoo Kim 003; Minje Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Scalable and Efficient Neural Speech Coding: A Hybrid Design. - Kai Zhen; Jongmo Sung; Mi Suk Lee; Seungkwon Beack; Minje Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement. - Anastasia Kuznetsova; Aswin Sivaraman; Minje Kim (ICASSP, 2023)

Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks. - Darius Petermann; Inseon Jang; Minje Kim (ICASSP, 2023)

Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding. - Haici Yang; Wootaek Lim; Minje Kim (ICASSP, 2023)

BiTT: Bi-Directional Texture Reconstruction of Interacting Two Hands from a Single Image. - Minje Kim; Tae-Kyun Kim 001 (CVPR, 2024)

Dense Hand-Object (HO) GraspNet with Full Grasping Taxonomy and Dynamics. - Woojin Cho; Jihyun Lee; Minjae Yi; Minje Kim; Taeyun Woo; Donghwan Kim; Taewook Ha; Hyokeun Lee; Je-Hwan Ryu; Woontack Woo; Tae-Kyun Kim 001 (ECCV (82), 2024)

Harmony Search-Based Quantization Bit Allocation on Cell-Free Massive MIMO Systems. - Minje Kim; In-Soo Kim; Junil Choi (EUSIPCO, 2024)

A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere in Between? - Kahyun Choi; Minje Kim (ICASSP, 2024)

Personalized Neural Speech Codec. - Inseon Jang; Haici Yang; Wootaek Lim; Seungkwon Beack; Minje Kim (ICASSP, 2024)

Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion: A Residual Learning Approach. - Minje Kim; Trausti T. Kristjansson (ICASSP, 2024)

Hyperbolic Distance-Based Speech Separation. - Darius Petermann; Minje Kim (ICASSP, 2024)

Generative De-Quantization for Neural Speech Codec Via Latent Diffusion. - Haici Yang; Inseon Jang; Minje Kim (ICASSP, 2024)

Physical Layer Security of AF-Based Hybrid Satellite-Terrestrial Networks. - Hyeongjun Park; Minje Kim; Junil Choi (ICTC, 2024)

Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation. - Tsun-An Hsieh; Heeyoul Choi; Minje Kim (INTERSPEECH, 2024)

Genhancer: High-Fidelity Speech Enhancement via Generative Modeling on Discrete Codec Tokens. - Haici Yang; Jiaqi Su; Minje Kim; Zeyu Jin (INTERSPEECH, 2024)

Performance Analyses of Satellite Cluster System in Mega-Constellations. - Miyeon Lee; Sucheol Kim; Minje Kim; Dong-Hyun Jung; Junil Choi (PIMRC, 2024)

DEformer: Dual Embedded Transformer for Multivariate Time Series Forecasting. - Minje Kim; Suwon Lee; Sang-Min Choi (IEEE Access, 2024)

Neural Speech and Audio Coding. - Minje Kim; Jan Skoglund (CoRR, 2024)

Machine Learning-Based Channel Prediction in Wideband Massive MIMO Systems With Small Overhead for Online Training. - Beomsoo Ko; Hwanjin Kim; Minje Kim; Junil Choi (IEEE Open J. Commun. Soc., 2024)

IoT Edge-Cloud: An Internet-of-Things Edge-Empowered Cloud System for Device Management in Smart Spaces. - Yoseop Ahn; Minje Kim; Jeongah Lee; Yiwen Shen 001; Jaehoon Jeong 001 (IEEE Netw., 2024)

AiSDF: Structure-Aware Neural Signed Distance Fields in Indoor Scenes. - Jaehoon Jang 001; Inha Lee; Minje Kim; Kyungdon Joo (IEEE Robotics Autom. Lett., 2024)

Meta-Heuristic Fronthaul Bit Allocation for Cell-Free Massive MIMO Systems. - Minje Kim; In-soo Kim; Junil Choi (IEEE Trans. Wirel. Commun., 2024)

Neural Speech and Audio Coding: Modern AI technology meets traditional codecs [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. - Minje Kim; Jan Skoglund (IEEE Signal Process. Mag., 2024)

Editorial JSTSP NSAC Editorial. - Jan Skoglund; Minje Kim; Xiulian Peng; Lars F. Villemoes (IEEE J. Sel. Top. Signal Process., 2024)

A Benchmark Dataset for Collaborative SLAM in Service Environments. - Harin Park; Inha Lee; Minje Kim; Hyungyu Park; Kyungdon Joo (IEEE Robotics Autom. Lett., 2024)

Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement. - Jae-Sung Bae; Anastasia Kuznetsova; Dinesh Manocha; John R. Hershey; Trausti T. Kristjansson; Minje Kim (ICASSP Workshops, 2025)

Perceptual Audio Coding: A 40-Year Historical Perspective. - Jürgen Herre; Schuyler Quackenbush; Minje Kim; Jan Skoglund (ICASSP, 2025)

Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation. - Jackie Lin; Georg Götz; Hermes Sampedro Llopis; Haukur Hafsteinsson; Steinar Guðjónsson; Daniel Gert Nielsen; Finnur Pind; Paris Smaragdis; Dinesh Manocha; John R. Hershey; Trausti T. Kristjansson; Minje Kim (ICASSP Workshops, 2025)

DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks. - Minje Kim; Minjun Kim; Xu Yang (WACV, 2025)

Machine Learning-Based Channel Prediction with Reduced Training Overhead for Massive MIMO-OFDM Systems. - Beomsoo Ko; Hwanjin Kim; Minje Kim; Junil Choi (WCNC, 2025)

Anomaly Detection-Based UE-Centric Inter-Cell Interference Suppression. - Kwonyeol Park; Hyuckjin Choi; Beomsoo Ko; Minje Kim; Gyoseung Lee; Daecheol Kwon; Hyunjae Park; Byungseung Kim; Min-Ho Shin; Junil Choi (IEEE Open J. Commun. Soc., 2025)

Discrete Audio Tokens: More Than a Survey! - Pooneh Mousavi; Gallil Maimon; Adel Moumen; Darius Petermann; Jiatong Shi; Haibin Wu; Haici Yang; Anastasia Kuznetsova; Artem Ploujnikov; Ricard Marxer; Bhuvana Ramabhadran; Benjamin Elizalde; et al. (CoRR, 2025)

User-guided Generative Source Separation. - Yutong Wen; Minje Kim; Paris Smaragdis (CoRR, 2025)

Adaptive Slimming for Scalable and Efficient Speech Enhancement. - Riccardo Miccini; Minje Kim; Clément Laroche; Luca Pezzarossa; Paris Smaragdis (CoRR, 2025)

Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine. - Anastasia Kuznetsova; Inseon Jang; Wootaek Lim; Minje Kim (CoRR, 2025)

Combolutional Neural Networks. - Cameron Churchwell; Minje Kim; Paris Smaragdis (CoRR, 2025)