| 2026 | AAAI | Privacy-Preserving Argumentative Explanations (Student Abstract). | Ungsik Kim, Minjae Lee, Jiho Bae, Minje Kim, Sang-Min Choi, Suwon Lee |
| 2026 | CHI | Your Permission Leaks My Data: Second-Hand Privacy Harms in LLM Agents. | Minje Kim, Keeheon Lee |
| 2026 | ICS | Aurora: A Disaggregated GPU-PNM-PIM System for High-Throughput Mixed-Length LLM Inference. | Hyeonu Kim, Seunghyuk Yu, Minje Kim, Jungsul Lee, Hyojin Sung, Eojin Lee |
| 2026 | SIGIR | MuPP: Multi-Preference Padding for Sequential Recommendation. | Wooseung Kang, Minje Kim, Suwon Lee, Gun-Woo Kim, Sang-Min Choi |
| 2026 | SIGIR | An Analysis of Attribute Utilization in Side Information-integrated Sequential Recommendation. | Minje Kim, Wooseung Kang, Suwon Lee, Gun-Woo Kim, Sang-Min Choi |
| 2026 | WACV | HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer. | Minjun Kim, Minje Kim |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | Perceptual Audio Coding: A 40-Year Historical Perspective. | Jrgen Herre, Schuyler Quackenbush, Minje Kim, Jan Skoglund |
| 2025 | ICASSP | Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation. | Jackie Lin, Georg Gtz, Hermes Sampedro Llopis, Haukur Hafsteinsson, Steinar Gujnsson, Daniel Gert Nielsen, Finnur Pind, Paris Smaragdis, Dinesh Manocha, John R. Hershey, Trausti T. Kristjansson, Minje Kim |
| 2025 | RecSys | A Dual-Key Attention Framework for Sequential Recommendation with Side Information. | Minje Kim, Wooseung Kang, Gun-Woo Kim, Chie Hoon Song, Suwon Lee, Sang-Min Choi |
| 2025 | RecSys | End-to-End Time Interval-wise Segmentation for Sequential Recommendation. | Minje Kim, Wooseung Kang, Gun-Woo Kim, Chie Hoon Song, Suwon Lee, Sang-Min Choi |
| 2025 | WCNC | Machine Learning-Based Channel Prediction with Reduced Training Overhead for Massive MIMO-OFDM Systems. | Beomsoo Ko, Hwanjin Kim, Minje Kim, Junil Choi |
| 2025 | WACV | DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks. | Minje Kim, Minjun Kim, Xu Yang |
| 2024 | CogSci | Professional Jazz Musicians Explore and Exploit a Space of Sounds. | Tevin Williams, Matthew Setzler, Minje Kim, Rachel Ryskin, Michael J. Spivey, Tyler Marghetis |
| 2024 | CVPR | BiTT: Bi-Directional Texture Reconstruction of Interacting Two Hands from a Single Image. | Minje Kim, Tae-Kyun Kim |
| 2024 | ECCV | 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 |
| 2024 | ICASSP | A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere in Between? | Kahyun Choi, Minje Kim |
| 2024 | ICASSP | Personalized Neural Speech Codec. | Inseon Jang, Haici Yang, Wootaek Lim, Seungkwon Beack, Minje Kim |
| 2024 | ICASSP | Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion: A Residual Learning Approach. | Minje Kim, Trausti T. Kristjansson |
| 2024 | ICASSP | Hyperbolic Distance-Based Speech Separation. | Darius Petermann, Minje Kim |
| 2024 | ICASSP | Generative De-Quantization for Neural Speech Codec Via Latent Diffusion. | Haici Yang, Inseon Jang, Minje Kim |
| 2024 | Interspeech | Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation. | Tsun-An Hsieh, Heeyoul Choi, Minje Kim |
| 2024 | Interspeech | Genhancer: High-Fidelity Speech Enhancement via Generative Modeling on Discrete Codec Tokens. | Haici Yang, Jiaqi Su, Minje Kim, Zeyu Jin |
| 2024 | PIMRC | Performance Analyses of Satellite Cluster System in Mega-Constellations. | Miyeon Lee, Sucheol Kim, Minje Kim, Dong-Hyun Jung, Junil Choi |
| 2023 | ICASSP | The Potential of Neural Speech Synthesis-Based Data Augmentation for Personalized Speech Enhancement. | Anastasia Kuznetsova, Aswin Sivaraman, Minje Kim |
| 2023 | ICASSP | Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks. | Darius Petermann, Inseon Jang, Minje Kim |
| 2023 | ICASSP | Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding. | Haici Yang, Wootaek Lim, Minje Kim |
| 2022 | ICASSP | Bloom-Net: Blockwise Optimization for Masking Networks Toward Scalable and Efficient Speech Enhancement. | Sunwoo Kim, Minje Kim |
| 2022 | ICASSP | Spain-Net: Spatially-Informed Stereophonic Music Source Separation. | Darius Petermann, Minje Kim |
| 2022 | ICASSP | Don't Separate, Learn To Remix: End-To-End Neural Remixing With Joint Optimization. | Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim |
| 2022 | ICASSP | 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 |
| 2022 | ICASSP | 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 |
| 2021 | ICASSP | Source-Aware Neural Speech Coding for Noisy Speech Compression. | Haici Yang, Kai Zhen, Seungkwon Beack, Minje Kim |
| 2021 | Interspeech | Personalized Speech Enhancement Through Self-Supervised Data Augmentation and Purification. | Aswin Sivaraman, Sunwoo Kim, Minje Kim |
| 2020 | ICASSP | Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. | Sunwoo Kim, Haici Yang, Minje Kim |
| 2020 | ICASSP | Deep Autotuner: A Pitch Correcting Network for Singing Performances. | Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim |
| 2020 | ICASSP | A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement. | Kai Zhen, Mi Suk Lee, Minje Kim |
| 2020 | ICASSP | Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. | Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim |
| 2020 | ICLR | AutoQ: Automated Kernel-Wise Neural Network Quantization. | Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang |
| 2020 | Interspeech | Sparse Mixture of Local Experts for Efficient Speech Enhancement. | Aswin Sivaraman, Minje Kim |
| 2019 | CCGRID | Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. | Vibhatha Lakmal Abeykoon, Geoffrey Charles Fox, Minje Kim |
| 2019 | ICASSP | Incremental Binarization on Recurrent Neural Networks for Single-channel Source Separation. | Sunwoo Kim, Mrinmoy Maity, Minje Kim |
| 2019 | ICASSP | 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 |
| 2019 | Interspeech | Cascaded Cross-Module Residual Learning Towards Lightweight End-to-End Speech Coding. | Kai Zhen, Jongmo Sung, Mi Suk Lee, Seungkwon Beack, Minje Kim |
| 2018 | CogSci | Creative leaps in musical ecosystems: early warning signals of critical transitions in professional jazz. | Matthew Setzler, Tyler Marghetis, Minje Kim |
| 2018 | ICASSP | Bitwise Source Separation on Hashed Spectra: An Efficient Posterior Estimation Scheme Using Partial Rank Order Metrics. | Lijiang Guo, Minje Kim |
| 2018 | ICASSP | Bitwise Neural Networks for Efficient Single-Channel Source Separation. | Minje Kim, Paris Smaragdis |
| 2018 | RTCSA | DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car. | Michael Garrett Bechtel, Elise McEllhiney, Minje Kim, Heechul Yun |
| 2017 | ICASSP | Collaborative Deep Learning for speech enhancement: A run-time model selection method using autoencoders. | Minje Kim |
| 2017 | ICASSP | Towards expressive instrument synthesis through smooth frame-by-frame reconstruction: From string to woodwind. | Sanna Wager, Liang Chen, Minje Kim, Christopher Raphael |
| 2017 | ISLPED | XNOR-POP: A processing-in-memory architecture for binary Convolutional Neural Networks in Wide-IO2 DRAMs. | Lei Jiang, Minje Kim, Wujie Wen, Danghui Wang |
| 2016 | ICASSP | Efficient neighborhood-based topic modeling for collaborative audio enhancement on massive crowdsourced recordings. | Minje Kim, Paris Smaragdis |
| 2015 | ICASSP | Efficient manifold preserving audio source separation using locality sensitive hashing. | Minje Kim, Paris Smaragdis, Gautham J. Mysore |
| 2014 | ICASSP | Deep learning for monaural speech separation. | Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis |
| 2014 | ICASSP | Phase and level difference fusion for robust multichannel source separation. | Johannes Traa, Minje Kim, Paris Smaragdis |
| 2014 | Interspeech | Experiments on deep learning for speech denoising. | Ding Liu, Paris Smaragdis, Minje Kim |
| 2013 | ICASSP | Collaborative audio enhancement using probabilistic latent component sharing. | Minje Kim, Paris Smaragdis |
| 2013 | ICML | Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. | Minje Kim, Paris Smaragdis |
| 2013 | ISPASS | EMERALD: Characterization of emerging applications and algorithms for low-power devices. | Chuanjun Zhang, Glenn G. Ko, Jungwook Choi, Shang-nien Tsai, Minje Kim, Abner Guzmn-Rivera, Rob A. Rutenbar, Paris Smaragdis, Mi Sun Park, Vijaykrishnan Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen |
| 2010 | ICASSP | Blind rhythmic source separation: Nonnegativity and repeatability. | Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi |
| 2010 | ICASSP | Nonnegative matrix partial co-factorization for drum source separation. | Jiho Yoo, Minje Kim, Kyeongok Kang, Seungjin Choi |
| 2006 | ICPR | ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. | Minje Kim, Seungjin Choi |
| 2005 | ICANN | On Spectral Basis Selection for Single Channel Polyphonic Music Separation. | Minje Kim, Seungjin Choi |