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ORCIDMinje Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Minje Kim 0001
![[0000-0003-3513-8328]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3513-8328")
— University of Illinois Urbana-Champaign, Urbana, IL, USA - Minje Kim 0002 — Ulsan National Institute of Science and Technology, Ulsan, Korea
- Minje Kim 0003 — Korea Advanced Institute of Science and Technology, Daejeon, Korea
- Minje Kim 0004 — Gyeongsang National University, Jinju-si, Korea
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2020 – today
- 2026
[i37]Jaesung Bae, Minje Kim:
Semantics-Aware Generative Latent Data Augmentation for Learning in Low-Resource Domains. CoRR abs/2602.02841 (2026)- 2025
- [j5]Pooneh Mousavi, Gallil Maimon, Adel Moumen, Darius Petermann, Jiatong Shi, Haibin Wu, Haici Yang, Anastasia Kuznetsova, Artem Ploujnikov, Ricard Marxer, Bhuvana Ramabhadran, Benjamin Elizalde, Loren Lugosch, Jinyu Li, Cem Subakan, Philip C. Woodland, Minje Kim, Hung-yi Lee, Shinji Watanabe, Yossi Adi, Mirco Ravanelli:
Discrete Audio Tokens: More Than a Survey! Trans. Mach. Learn. Res. 2025 (2025) - [c42]Minje Kim, Minjun Kim, Xu Yang:
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks. WACV 2025: 9700-9710 - [c41]Tsun-An Hsieh, Minje Kim:
TGIF: Talker Group-Informed Familiarization of Target Speaker Extraction. WASPAA 2025: 1-5 - [i36]Minje Kim, Minjun Kim, Xu Yang:
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks. CoRR abs/2503.10052 (2025) - [i35]Pooneh Mousavi, Gallil Maimon, Adel Moumen, Darius Petermann, Jiatong Shi, Haibin Wu, Haici Yang, Anastasia Kuznetsova, Artem Ploujnikov, Ricard Marxer, Bhuvana Ramabhadran, Benjamin Elizalde, Loren Lugosch, Jinyu Li, Cem Subakan, Philip C. Woodland, Minje Kim, Hung-yi Lee, Shinji Watanabe, Yossi Adi, Mirco Ravanelli:
Discrete Audio Tokens: More Than a Survey! CoRR abs/2506.10274 (2025) - [i34]Anastasia Kuznetsova, Inseon Jang, Wootaek Lim, Minje Kim:
Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine. CoRR abs/2507.12701 (2025) - [i33]Minje Kim, Tae-Kyun Kim:
SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit 3D Meshes. CoRR abs/2509.21859 (2025) - [i32]Kamil Wójcicki, Yusuf Ziya Isik, Laura Lechler, Mansur Yesilbursa, Ivana Balic, Wolfgang Mack, Rafal Laganowski, Guoqing Zhang, Yossi Adi, Minje Kim, Shinji Watanabe:
Low-Resource Audio Codec (LRAC): 2025 Challenge Description. CoRR abs/2510.23312 (2025) - [i31]Jacqueline Yau, Katherine J. Mimnaugh, Evan G. Center, Timo Ojala, Steven M. LaValle, Wenzhen Yuan, Nancy M. Amato, Minje Kim, Kara D. Federmeier:
Uncovering Patterns of Brain Activity from EEG Data Consistently Associated with Cybersickness Using Neural Network Interpretability Maps. CoRR abs/2512.20620 (2025) - 2024
- [j4]Yoseop Ahn, Minje Kim, Jeongah Lee, Yiwen Shen, Jaehoon Jeong:
IoT Edge-Cloud: An Internet-of-Things Edge-Empowered Cloud System for Device Management in Smart Spaces. IEEE Netw. 38(3): 109-117 (2024) - [c40]Tevin Williams, Matthew Setzler, Minje Kim, Rachel Ryskin, Michael J. Spivey, Tyler Marghetis:
Professional Jazz Musicians Explore and Exploit a Space of Sounds. CogSci 2024 - [c39]Minje Kim, Tae-Kyun Kim:
BiTT: Bi-Directional Texture Reconstruction of Interacting Two Hands from a Single Image. CVPR 2024: 10726-10735 - [c38]Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun Kim:
Dense Hand-Object (HO) GraspNet with Full Grasping Taxonomy and Dynamics. ECCV (82) 2024: 284-303 - [c37]Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim:
Personalized Neural Speech Codec. ICASSP 2024: 991-995 - [c36]Darius Petermann, Minje Kim:
Hyperbolic Distance-Based Speech Separation. ICASSP 2024: 1191-1195 - [c35]Minje Kim, Trausti T. Kristjansson:
Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion: A Residual Learning Approach. ICASSP 2024: 1216-1220 - [c34]Haici Yang, Inseon Jang, Minje Kim:
Generative De-Quantization for Neural Speech Codec Via Latent Diffusion. ICASSP 2024: 1251-1255 - [c33]Kahyun Choi, Minje Kim:
A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere in Between? ICASSP 2024: 1296-1300 - [c32]Tsun-An Hsieh, Heeyoul Choi, Minje Kim:
Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation. INTERSPEECH 2024 - [c31]Haici Yang, Jiaqi Su, Minje Kim, Zeyu Jin:
Genhancer: High-Fidelity Speech Enhancement via Generative Modeling on Discrete Codec Tokens. INTERSPEECH 2024 - [i30]Darius Petermann, Minje Kim:
Hyperbolic Distance-Based Speech Separation. CoRR abs/2401.03567 (2024) - [i29]Minje Kim, Tae-Kyun Kim:
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image. CoRR abs/2403.08262 (2024) - [i28]Kahyun Choi, Minje Kim:
A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between? CoRR abs/2404.00789 (2024) - [i27]Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim:
Personalized Neural Speech Codec. CoRR abs/2404.00791 (2024) - [i26]Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun Kim:
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics. CoRR abs/2409.04033 (2024) - 2023
- [i25]Darius Petermann, Inseon Jang, Minje Kim:
Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks. CoRR abs/2303.08005 (2023) - [i24]Haici Yang, Inseon Jang, Minje Kim:
Generative De-Quantization for Neural Speech Codec via Latent Diffusion. CoRR abs/2311.08330 (2023) - 2022
- [j3]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:
Stochastic gradient descent-based support vector machines training optimization on Big Data and HPC frameworks. Concurr. Comput. Pract. Exp. 34(8) (2022) - [c30]Darius Petermann, Minje Kim:
Spain-Net: Spatially-Informed Stereophonic Music Source Separation. ICASSP 2022: 106-110 - [c29]Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim:
Don't Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization. ICASSP 2022: 116-120 - [c28]Haici Yang, Sanna Wager, Spencer Russell, Mike Luo, Minje Kim, Wontak Kim:
Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content. ICASSP 2022: 426-430 - [c27]Hao Zhang, Srivatsan Kandadai, Harsha Rao, Minje Kim, Tarun Pruthi, Trausti T. Kristjansson:
Deep Adaptive Aec: Hybrid of Deep Learning and Adaptive Acoustic Echo Cancellation. ICASSP 2022: 756-760 - [i23]Darius Petermann, Minje Kim:
SpaIn-Net: Spatially-Informed Stereophonic Music Source Separation. CoRR abs/2202.07523 (2022) - [i22]Haici Yang, Sanna Wager, Spencer Russell, Mike Luo, Minje Kim, Wontak Kim:
Upmixing via style transfer: a variational autoencoder for disentangling spatial images and musical content. CoRR abs/2203.12053 (2022) - [i21]Haici Yang, Wootaek Lim, Minje Kim:
Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding. CoRR abs/2211.02506 (2022) - [i20]Anastasia Kuznetsova, Aswin Sivaraman, Minje Kim:
The Potential of Neural Speech Synthesis-based Data Augmentation for Personalized Speech Enhancement. CoRR abs/2211.07493 (2022) - 2021
- [c26]R. David Badger, Minje Kim:
Singular Value Decomposition for Compression of Large-Scale Radio Frequency Signals. EUSIPCO 2021: 1591-1595 - [c25]R. David Badger, Kristopher H. Jung, Minje Kim:
An Open-Sourced Time-Frequency Domain RF Classification Framework. EUSIPCO 2021: 1701-1705 - [c24]Haici Yang, Kai Zhen, Seungkwon Beack, Minje Kim:
Source-Aware Neural Speech Coding for Noisy Speech Compression. ICASSP 2021: 706-710 - [c23]Aswin Sivaraman, Minje Kim:
Zero-Shot Personalized Speech Enhancement Through Speaker-Informed Model Selection. WASPAA 2021: 171-175 - [c22]Darius Petermann, Seungkwon Beack, Minje Kim:
Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. WASPAA 2021: 316-320 - [i19]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. CoRR abs/2101.00054 (2021) - [i18]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Scalable and Efficient Neural Speech Coding. CoRR abs/2103.14776 (2021) - [i17]Aswin Sivaraman, Minje Kim:
Self-Supervised Learning for Personalized Speech Enhancement. CoRR abs/2104.02017 (2021) - [i16]Aswin Sivaraman, Minje Kim:
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection. CoRR abs/2105.03542 (2021) - [i15]Darius Petermann, Seungkwon Beack, Minje Kim:
HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. CoRR abs/2107.10843 (2021) - [i14]Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim:
Neural Remixer: Learning to Remix Music with Interactive Control. CoRR abs/2107.13634 (2021) - 2020
- [c21]Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim:
Deep Autotuner: A Pitch Correcting Network for Singing Performances. ICASSP 2020: 246-250 - [c20]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. ICASSP 2020: 361-365 - [c19]Kai Zhen, Mi Suk Lee, Minje Kim:
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement. ICASSP 2020: 366-370 - [c18]Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang:
AutoQ: Automated Kernel-Wise Neural Network Quantization. ICLR 2020 - [c17]Aswin Sivaraman, Minje Kim:
Sparse Mixture of Local Experts for Efficient Speech Enhancement. INTERSPEECH 2020: 4526-4530 - [i13]Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim:
Deep Autotuner: a Pitch Correcting Network for Singing Performances. CoRR abs/2002.05511 (2020) - [i12]Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization. CoRR abs/2002.05604 (2020) - [i11]Aswin Sivaraman, Minje Kim:
Sparse Mixture of Local Experts for Efficient Speech Enhancement. CoRR abs/2005.08128 (2020)
2010 – 2019
- 2019
- [c16]Vibhatha Lakmal Abeykoon, Geoffrey Charles Fox, Minje Kim:
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. CCGRID 2019: 508-517 - [c15]Sanna Wager, George Tzanetakis, Stefan Sullivan, Cheng-i Wang, John Shimmin, Minje Kim, Perry Cook:
Intonation: A Dataset of Quality Vocal Performances Refined by Spectral Clustering on Pitch Congruence. ICASSP 2019: 476-480 - [c14]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. INTERSPEECH 2019: 3396-3400 - [c13]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, Shantenu Jha:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. IPDPS Workshops 2019: 422-429 - [i10]Sanna Wager, George Tzanetakis, Cheng-i Wang, Lijiang Guo, Aswin Sivaraman, Minje Kim:
Deep Autotuner: A Data-Driven Approach to Natural-Sounding Pitch Correction for Singing Voice in Karaoke Performances. CoRR abs/1902.00956 (2019) - [i9]Qian Lou, Lantao Liu, Minje Kim, Lei Jiang:
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. CoRR abs/1902.05690 (2019) - [i8]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, Shantenu Jha:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. CoRR abs/1902.10810 (2019) - [i7]Vibhatha Abeykoon, Geoffrey C. Fox, Minje Kim:
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. CoRR abs/1905.01219 (2019) - [i6]Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim:
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding. CoRR abs/1906.07769 (2019) - [i5]Kai Zhen, Mi Suk Lee, Minje Kim:
Efficient Context Aggregation for End-to-End Speech Enhancement Using a Densely Connected Convolutional and Recurrent Network. CoRR abs/1908.06468 (2019) - 2018
- [c12]Matthew Setzler, Tyler Marghetis, Minje Kim:
Creative leaps in musical ecosystems: early warning signals of critical transitions in professional jazz. CogSci 2018 - [c11]Sanna Wager, Minje Kim:
Collaborative Speech Dereverberation: Regularized Tensor Factorization for Crowdsourced Multi-Channel Recordings. EUSIPCO 2018: 1532-1536 - [c10]Lijiang Guo, Minje Kim:
Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics. ICASSP 2018: 761-765 - [c9]Michael Garrett Bechtel, Elise McEllhiney, Minje Kim, Heechul Yun:
DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car. RTCSA 2018: 11-21 - [i4]Kai Zhen, Aswin Sivaraman, Jongmo Sung, Minje Kim:
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising. CoRR abs/1801.09774 (2018) - [i3]Sanna Wager, Lijiang Guo, Aswin Sivaraman, Minje Kim:
A Data-Driven Approach to Smooth Pitch Correction for Singing Voice in Pop Music. CoRR abs/1805.02603 (2018) - 2017
- [j2]Hongwei Wang, Yunlong Gao, Shaohan Hu, Shiguang Wang, Renato Mancuso, Minje Kim, Po-Liang Wu, Lu Su, Lui Sha, Tarek F. Abdelzaher:
On Exploiting Structured Human Interactions to Enhance Sensing Accuracy in Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 1(3): 16:1-16:19 (2017) - [c8]Minje Kim:
Collaborative Deep Learning for speech enhancement: A run-time model selection method using autoencoders. ICASSP 2017: 76-80 - [c7]Sanna Wager, Liang Chen, Minje Kim, Christopher Raphael:
Towards expressive instrument synthesis through smooth frame-by-frame reconstruction: From string to woodwind. ICASSP 2017: 391-395 - [c6]Lei Jiang, Minje Kim, Wujie Wen, Danghui Wang:
XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs. ISLPED 2017: 1-6 - [i2]Minje Kim:
Collaborative Deep Learning for Speech Enhancement: A Run-Time Model Selection Method Using Autoencoders. CoRR abs/1705.10385 (2017) - [i1]Lijiang Guo, Minje Kim:
Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics. CoRR abs/1708.06750 (2017) - 2015
- [c5]Yunlong Gao, Shaohan Hu, Renato Mancuso, Hongwei Wang, Minje Kim, Po-Liang Wu, Lu Su, Lui Sha, Tarek F. Abdelzaher:
Exploiting structured human interactions to enhance estimation accuracy in cyber-physical systems. ICCPS 2015: 60-69 - 2011
- [j1]Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi:
Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation. IEEE J. Sel. Top. Signal Process. 5(6): 1192-1204 (2011) - 2010
- [c4]Jiho Yoo, Minje Kim, Kyeongok Kang, Seungjin Choi:
Nonnegative matrix partial co-factorization for drum source separation. ICASSP 2010: 1942-1945 - [c3]Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi:
Blind rhythmic source separation: Nonnegativity and repeatability. ICASSP 2010: 2006-2009
2000 – 2009
- 2006
- [c2]Minje Kim, Seungjin Choi:
Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance. ICA 2006: 617-624 - 2005
- [c1]Minje Kim, Seungjin Choi:
On Spectral Basis Selection for Single Channel Polyphonic Music Separation. ICANN (2) 2005: 157-162
Coauthor Index
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