Minsik Cho - RankMe

99 papers A* 13A 10B 1C 2Misc 6Journal 51Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers. CoRR Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mehrdad Farajtabar, Minsik Cho
2026	J	`jnl`	Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context. CoRR Keivan Alizadeh, Parshin Shojaee, Minsik Cho, Mehrdad Farajtabar
2026	J	`jnl`	SpecMD: A Comprehensive Study On Speculative Expert Prefetching. CoRR Duc N. M. Hoang, Ajay Jaiswal, Mohammad Samragh, Minsik Cho
2025	—	`conf`	A Phase-Locked Minimum-Energy-Point-Tracking Enabled by Unified-Clock-Power-and-Body-Bias Slack Regulation and PI-Ratio Based In-Situ Loop Gain Optimization with 97.4% Supply Voltage Margin Recovery at Minimum-Energy-Point in 28nm FDSOI. CICC Minhyeok Jeong, Hyungmin Gi, Minsik Cho, Mingyu Kim, Donggyu Kim, Sungyong Park, Woonjae Lee, Seonho Kim, Yeohoon Yoon, Shin Han, Donguk Seo, Jongmin Lee, Yoonmyung Lee
2025	J	`jnl`	EpiCache: Episodic KV Cache Management for Long Conversational Question Answering. CoRR Minsoo Kim, Arnav Kundu, Han-Byul Kim, Richa Dixit, Minsik Cho
2025	J	`jnl`	From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. CoRR Kumari Nishu, Sachin Mehta, Samira Abnar, Mehrdad Farajtabar, Maxwell Horton, Mahyar Najibi, Moin Nabi, Minsik Cho, Devang Naik
2025	J	`jnl`	Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference. CoRR Nikhil Bhendawade, Kumari Nishu, Arnav Kundu, Chris Bartels, Minsik Cho, Irina Belousova
2025	J	`jnl`	MoE-PHDS: One MoE checkpoint for flexible runtime sparsity. CoRR Lauren A. Hannah, Soheil Zibakhsh, Kumari Nishu, Arnav Kundu, Mohammad Samragh Razlighi, Mehrdad Farajtabar, Minsik Cho
2025	J	`jnl`	MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE. CoRR Soheil Zibakhsh, Mohammad Samragh, Kumari Nishu, Lauren Hannah, Arnav Kundu, Minsik Cho
2025	Misc	`conf`	SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting. ICASSP Kumari Nishu, Minsik Cho, Devang Naik
2025	A*	`conf`	SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models. ICML Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho
2025	J	`jnl`	SPD: Sync-Point Drop for efficient tensor parallelism of Large Language Models. CoRR Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho
2025	J	`jnl`	Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential. CoRR Mohammad Samragh, Arnav Kundu, David Harrison, Kumari Nishu, Devang Naik, Minsik Cho, Mehrdad Farajtabar
2025	A*	`conf`	eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. HPCA Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
2024	—	`conf`	Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. ENLSP Keivan Alizadeh-Vahid, Seyed-Iman Mirzadeh, Hooman Shahrkokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
2024	J	`jnl`	Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. CoRR Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
2024	Misc	`conf`	Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding. ICASSP Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik
2024	A*	`conf`	KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. ICML Minsik Cho, Mohammad Rastegari, Devang Naik
2024	J	`jnl`	KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. CoRR Minsik Cho, Mohammad Rastegari, Devang Naik
2024	—	`conf`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2024	J	`jnl`	LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
2024	J	`jnl`	SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting. CoRR Kumari Nishu, Minsik Cho, Devang Naik
2024	—	`conf`	Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization. ENLSP Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
2024	J	`jnl`	Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
2024	Misc	`conf`	Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. ICASSP Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
2024	J	`jnl`	Towards Low-bit Communication for Tensor Parallel LLM Inference. CoRR Harry Dong, Tyler Johnson, Minsik Cho, Emad Soroush
2024	J	`jnl`	eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
2023	J	`jnl`	(Dynamic) Prompting might be all you need to repair Compressed LLMs. CoRR Duc N. M. Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang
2023	J	`jnl`	An RC Delay-Based Pressure-Sensing System With Energy-Efficient Bit-Level Oversampling Techniques for Implantable IOP Monitoring Systems. IEEE J. Solid State Circuits Donguk Seo, Minsik Cho, Minhyeok Jeong, Gicheol Shin, Inhee Lee, David T. Blaauw, Yoonmyung Lee
2023	J	`jnl`	Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding. CoRR Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik
2023	Misc	`conf`	HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. ICASSP Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik
2023	Misc	`conf`	I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
2023	J	`jnl`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2023	A	`conf`	Matching Latent Encoding for Audio-Text based Keyword Spotting. INTERSPEECH Kumari Nishu, Minsik Cho, Devang Naik
2023	J	`jnl`	Matching Latent Encoding for Audio-Text based Keyword Spotting. CoRR Kumari Nishu, Minsik Cho, Devang Naik
2023	A*	`conf`	PDP: Parameter-free Differentiable Pruning is All You Need. NeurIPS Minsik Cho, Saurabh Adya, Devang Naik
2023	J	`jnl`	PDP: Parameter-free Differentiable Pruning is All You Need. CoRR Minsik Cho, Saurabh Adya, Devang Naik
2023	J	`jnl`	R^2: Range Regularization for Model Compression and Quantization. CoRR Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya
2023	J	`jnl`	Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. CoRR Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
2023	J	`jnl`	eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
2022	J	`jnl`	A Continuously-Scalable-Conversion-Ratio Step-Up/Down SC Energy-Harvesting Interface With MPPT Enabled by Real-Time Power Monitoring With Frequency-Mapped Capacitor DAC. IEEE Trans. Circuits Syst. I Regul. Pap. Yeohoon Yoon, Hyungmin Gi, Jongmin Lee, Minsik Cho, Changyoun Im, Yongmin Lee, ChiSung Bae, Sang Joon Kim, Yoonmyung Lee
2022	A*	`conf`	DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
2022	J	`jnl`	HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. CoRR Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik
2022	J	`jnl`	I see what you hear: a vision-inspired method to localize words. CoRR Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
2022	A	`conf`	Improving Voice Trigger Detection with Metric Learning. INTERSPEECH 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
2022	J	`jnl`	Improving Voice Trigger Detection with Metric Learning. CoRR 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	J	`jnl`	DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
2021	A*	`conf`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee
2020	A*	`conf`	FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology. DAC Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho
2020	J	`jnl`	Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020	—	`conf`	MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design. CVPR Workshops Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
2020	J	`jnl`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2020	A*	`conf`	SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks. ICLR Chungkuk Yoo, Bumsoo Kang, Minsik Cho
2020	—	`conf`	Scalable Deep Learning Inference: Algorithmic Approach. IPDPS Workshops Minsik Cho
2020	J	`jnl`	SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders. CoRR Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
2019	B	`conf`	A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. ICTAI Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
2019	—	`conf`	BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. SysML Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter
2019	J	`jnl`	BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy. IBM J. Res. Dev. Minsik Cho, Ulrich Finkler, Mauricio J. Serrano, David S. Kung, Hillery C. Hunter
2019	J	`jnl`	Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019	J	`jnl`	Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
2019	J	`jnl`	MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design. CoRR Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
2018	J	`jnl`	A Unified Approximation Framework for Deep Neural Networks. CoRR Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
2018	J	`jnl`	Data-parallel distributed training of very large models beyond GPU capacity. CoRR Samuel Matzek, Max Grossman, Minsik Cho, Anar Yusifov, Bryant Nelson, Amit Juneja
2017	A*	`conf`	MEC: Memory-efficient Convolution for Deep Neural Network. ICML Minsik Cho, Daniel Brand
2017	J	`jnl`	MEC: Memory-efficient Convolution for Deep Neural Network. CoRR Minsik Cho, Daniel Brand
2017	J	`jnl`	PowerAI DDL. CoRR Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar
2016	—	`ch.`	Global Routing. Encyclopedia of Algorithms Minsik Cho, David Z. Pan
2015	C	`conf`	A second-order sigma-delta pixel sensor for X-ray applications. ICCE Daehee Lee, Dong-uk Kang, Kyeongjin Park, Minsik Cho, Kyung Taek Lim, S. Cho, Gyuseong Cho
2015	C	`conf`	High speed photon counting readout ASIC for spectral computed tomography detectors. ICCE Dong-uk Kang, Daehee Lee, Minsik Cho, Kyeongjin Park, Kyung Taek Lim, S. Cho, Gyuseong Cho
2015	J	`jnl`	PARADIS: An Efficient Parallel Algorithm for In-place Radix Sort. Proc. VLDB Endow. Minsik Cho, Daniel Brand, Rajesh Bordawekar, Ulrich Finkler, Vincent KulandaiSamy, Ruchir Puri
2013	A	`conf`	LatchPlanner: latch placement algorithm for datapath-oriented high-performance VLSI designs. ICCAD Minsik Cho, Hua Xiang, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri
2013	—	`conf`	Network flow based datapath bit slicing. ISPD Hua Xiang, Minsik Cho, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri
2012	A	`conf`	Dealing with IC manufacturability in extreme scaling (Embedded tutorial paper). ICCAD Bei Yu, Jhih-Rong Gao, Duo Ding, Yongchan Ban, Jae-Seok Yang, Kun Yuan, Minsik Cho, David Z. Pan
2011	A	`conf`	Optimal layout decomposition for double patterning technology. ICCAD Xiaoping Tang, Minsik Cho
2010	—	`conf`	A new graph-theoretic, multi-objective layout decomposition framework for double patterning lithography. ASP-DAC Jae-Seok Yang, Katrina Lu, Minsik Cho, Kun Yuan, David Z. Pan
2010	A*	`conf`	History-based VLSI legalization using network flow. DAC Minsik Cho, Haoxing Ren, Hua Xiang, Ruchir Puri
2010	—	`conf`	Logical and physical restructuring of fan-in trees. ISPD Hua Xiang, Haoxing Ren, Louise Trevillyan, Lakshmi N. Reddy, Ruchir Puri, Minsik Cho
2010	J	`jnl`	Manufacturability Aware Routing in Nanometer VLSI. Found. Trends Electron. Des. Autom. David Z. Pan, Minsik Cho, Kun Yuan
2010	A	`conf`	Novel binary linear programming for high performance clock mesh synthesis. ICCAD Minsik Cho, David Z. Pan, Ruchir Puri
2009	J	`jnl`	BoxRouter 2.0: A hybrid and robust global router with layer assignment for routability. ACM Trans. Design Autom. Electr. Syst. Minsik Cho, Katrina Lu, Kun Yuan, David Z. Pan
2009	J	`jnl`	ELIAD: Efficient Lithography Aware Detailed Routing Algorithm With Compact and Macro Post-OPC Printability Prediction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Minsik Cho, Kun Yuan, Yongchan Ban, David Z. Pan
2008	J	`jnl`	A High-Performance Droplet Routing Algorithm for Digital Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Minsik Cho, David Z. Pan
2008	—	`conf`	A high-performance droplet router for digital microfluidic biochips. ISPD Minsik Cho, David Z. Pan
2008	A	`conf`	Double patterning technology friendly detailed routing. ICCAD Minsik Cho, Yongchan Ban, David Z. Pan
2008	A*	`conf`	ELIAD: efficient lithography aware detailed router with compact post-OPC printability prediction. DAC Minsik Cho, Kun Yuan, Yongchan Ban, David Z. Pan
2008	J	`jnl`	Fast Substrate Noise Aware Floorplanning for Mixed Signal SOC Designs. IEEE Trans. Very Large Scale Integr. Syst. Minsik Cho, David Z. Pan
2008	—	`ch.`	Manufacturability-Aware Routing. Handbook of Algorithms for Physical Design Automation Minsik Cho, Joydeep Mitra, David Z. Pan
2008	J	`jnl`	Metal-Density-Driven Placement for CMP Variation and Routability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tung-Chieh Chen, Minsik Cho, David Z. Pan, Yao-Wen Chang
2008	—	`conf`	Metal-density driven placement for cmp variation and routability. ISPD Tung-Chieh Chen, Minsik Cho, David Z. Pan, Yao-Wen Chang
2008	—	`conf`	Synergistic physical synthesis for manufacturability and variability in 45nm designs and beyond. ASP-DAC David Z. Pan, Minsik Cho
2008	J	`jnl`	Track Routing and Optimization for Yield. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan
2007	A	`conf`	BoxRouter 2.0: architecture and implementation of a hybrid and robust global router. ICCAD Minsik Cho, Katrina Lu, Kun Yuan, David Z. Pan
2007	J	`jnl`	BoxRouter: A New Global Router Based on Box Expansion and Progressive ILP. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Minsik Cho, David Z. Pan
2007	A*	`conf`	TROY: Track Router with Yield-driven Wire Planning. DAC Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan
2006	A*	`conf`	BoxRouter: a new global router based on box expansion and progressive ILP. DAC Minsik Cho, David Z. Pan
2006	—	`conf`	Fast substrate noise-aware floorplanning with preference directed graph for mixed-signal SOCs. ASP-DAC Minsik Cho, Hongjoong Shin, David Z. Pan
2006	Misc	`conf`	PEAKASO: Peak-Temperature Aware Scan-Vector Optimization. VTS Minsik Cho, David Z. Pan
2006	A	`conf`	Wire density driven global routing for CMP variation and timing. ICCAD Minsik Cho, David Z. Pan, Hua Xiang, Ruchir Puri
2005	A	`conf`	TACO: temperature aware clock-tree optimization. ICCAD Minsik Cho, Suhail Ahmed, David Z. Pan