| 2026 | ISLPED | A Current Mode Wireless Power Transfer with Deficit Energy Quantifier for Implanted Medical Devices. | Minsik Cho, Minhyeok Jeong, Hyunjun Choi, Mingyu Kim, Shin Han, Yoonmyung Lee |
| 2025 | HPCA | eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. | Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal |
| 2025 | ICASSP | SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting. | Kumari Nishu, Minsik Cho, Devang Naik |
| 2025 | ICML | SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models. | Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho |
| 2024 | ACL | LLM in a flash: Efficient Large Language Model Inference with Limited Memory. | Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar |
| 2024 | ICASSP | Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding. | Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik |
| 2024 | ICASSP | Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. | Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik |
| 2024 | ICML | KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. | Minsik Cho, Mohammad Rastegari, Devang Naik |
| 2023 | ICASSP | HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. | Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik |
| 2023 | ICASSP | I See What You Hear: A Vision-Inspired Method to Localize Words. | Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik |
| 2023 | Interspeech | Matching Latent Encoding for Audio-Text based Keyword Spotting. | Kumari Nishu, Minsik Cho, Devang Naik |
| 2022 | ICLR | DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. | Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari |
| 2022 | Interspeech | Improving Voice Trigger Detection with Metric Learning. | Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik |
| 2021 | AAAI | NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. | Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogrio Feris, David S. Kung, Bishwaranjan Bhattacharjee |
| 2020 | CVPR | MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design. | Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho |
| 2020 | DAC | FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology. | Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho |
| 2020 | ICLR | SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks. | Chungkuk Yoo, Bumsoo Kang, Minsik Cho |
| 2019 | ICTAI | A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. | Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu |
| 2017 | ICML | MEC: Memory-efficient Convolution for Deep Neural Network. | Minsik Cho, Daniel Brand |
| 2013 | ICCAD | LatchPlanner: latch placement algorithm for datapath-oriented high-performance VLSI designs. | Minsik Cho, Hua Xiang, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri |
| 2012 | ICCAD | Dealing with IC manufacturability in extreme scaling (Embedded tutorial paper). | Bei Yu, Jhih-Rong Gao, Duo Ding, Yongchan Ban, Jae-Seok Yang, Kun Yuan, Minsik Cho, David Z. Pan |
| 2011 | ICCAD | Optimal layout decomposition for double patterning technology. | Xiaoping Tang, Minsik Cho |
| 2010 | ASPDAC | A new graph-theoretic, multi-objective layout decomposition framework for double patterning lithography. | Jae-Seok Yang, Katrina Lu, Minsik Cho, Kun Yuan, David Z. Pan |
| 2010 | DAC | History-based VLSI legalization using network flow. | Minsik Cho, Haoxing Ren, Hua Xiang, Ruchir Puri |
| 2010 | ICCAD | Novel binary linear programming for high performance clock mesh synthesis. | Minsik Cho, David Z. Pan, Ruchir Puri |
| 2008 | ASPDAC | Synergistic physical synthesis for manufacturability and variability in 45nm designs and beyond. | David Z. Pan, Minsik Cho |
| 2008 | DAC | ELIAD: efficient lithography aware detailed router with compact post-OPC printability prediction. | Minsik Cho, Kun Yuan, Yongchan Ban, David Z. Pan |
| 2008 | ICCAD | Double patterning technology friendly detailed routing. | Minsik Cho, Yongchan Ban, David Z. Pan |
| 2007 | DAC | TROY: Track Router with Yield-driven Wire Planning. | Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan |
| 2007 | ICCAD | BoxRouter 2.0: architecture and implementation of a hybrid and robust global router. | Minsik Cho, Katrina Lu, Kun Yuan, David Z. Pan |
| 2006 | ASPDAC | Fast substrate noise-aware floorplanning with preference directed graph for mixed-signal SOCs. | Minsik Cho, Hongjoong Shin, David Z. Pan |
| 2006 | DAC | BoxRouter: a new global router based on box expansion and progressive ILP. | Minsik Cho, David Z. Pan |
| 2006 | ICCAD | Wire density driven global routing for CMP variation and timing. | Minsik Cho, David Z. Pan, Hua Xiang, Ruchir Puri |
| 2006 | VTS | PEAKASO: Peak-Temperature Aware Scan-Vector Optimization. | Minsik Cho, David Z. Pan |
| 2005 | ICCAD | TACO: temperature aware clock-tree optimization. | Minsik Cho, Suhail Ahmed, David Z. Pan |