Jungwook Choi - RankMe

136 papers A* 22A 6B 7C 2Misc 8Journal 58Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	MapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLM. EACL (Findings) Woongkyu Lee, Junhee Cho, Jungwook Choi
2026	A*	`conf`	PIMphony: Overcoming Bandwidth and Capacity Inefficiency in PIM-Based Long-Context LLM Inference System. HPCA Hyucksung Kwon, Kyungmo Koo, Janghyeon Kim, Woongkyu Lee, Minjae Lee, Gyeonggeun Jung, Hyungdeok Lee, Yousub Jung, Jaehan Park, Yosub Song, Byeongsu Yang, Haerang Choi, Guhyun Kim, Jongsoon Won, Woojae Shin, Changhyun Kim, Gyeongcheol Shin, Yongkee Kwon, Ilkon Kim, Euicheol Lim, John Kim, Jungwook Choi
2025	—	`conf`	AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference. ACL (Findings) Janghwan Lee, Jiwoong Park, Jinseok Kim, Yongjik Kim, Jungju Oh, Jinwook Oh, Jungwook Choi
2025	—	`conf`	Enhancing Generalization in Data-Free Quantization via Mixup-Class Prompting. ICCVW Jiwoong Park, Chaeun Lee, Yongseok Choi, Sein Park, Deokki Hong, Jungwook Choi
2025	J	`jnl`	Enhancing Generalization in Data-free Quantization via Mixup-class Prompting. CoRR Jiwoong Park, Chaeun Lee, Yongseok Choi, Sein Park, Deokki Hong, Jungwook Choi
2025	J	`jnl`	InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding. CoRR Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang
2025	J	`jnl`	MapCoder-Lite: Squeezing Multi-Agent Coding into a Single Small LLM. CoRR Woongkyu Lee, Junhee Cho, Jungwook Choi
2025	A*	`conf`	RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy. AAAI Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi
2025	J	`jnl`	Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control. CoRR Seongmin Park, Hyungmin Kim, Sangwoo Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi
2025	B	`conf`	Scalable Processing-Near-Memory for 1M-Token LLM Inference: CXL-Enabled KV-Cache Management Beyond GPU Limits. PACT Dowon Kim, Minjae Lee, Janghyeon Kim, Hyucksung Kwon, Hyeonggyu Jeong, Sang-Soo Park, Minyong Yoon, Si-Dong Roh, Yongsuk Kwon, Jinin So, Jungwook Choi
2025	J	`jnl`	Scalable Processing-Near-Memory for 1M-Token LLM Inference: CXL-Enabled KV-Cache Management Beyond GPU Limits. CoRR Dowon Kim, Minjae Lee, Janghyeon Kim, Hyucksung Kwon, Hyeonggyu Jeong, Sang-Soo Park, Minyong Yoon, Si-Dong Roh, Yongsuk Kwon, Jinin So, Jungwook Choi
2025	A*	`conf`	SkipReduce: (Interconnection) Network Sparsity to Accelerate Distributed Machine Learning. MICRO Hans Kasan, Dennis Abts, Jungwook Choi, John Kim
2024	J	`jnl`	AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference. CoRR Janghwan Lee, Jiwoong Park, Jinseok Kim, Yongjik Kim, Jungju Oh, Jinwook Oh, Jungwook Choi
2024	A*	`conf`	BABOL: A Software-Defined NAND Flash Controller. MICRO Kibin Park, Alberto Lerner, Sangjin Lee, Philippe Bonnet, Yong Ho Song, Philippe Cudré-Mauroux, Jungwook Choi
2024	—	`conf`	ISP2DLA: Automated Deep Learning Accelerator Design for On-Sensor Image Signal Processing. ASAP Dong-eon Won, Yeeun Kim, Janghwan Lee, Minjae Lee, Jonghyun Bae, Jongjoo Park, Jeongyong Song, Jungwook Choi
2024	—	`conf`	Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. ACL (1) Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi
2024	J	`jnl`	Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. CoRR Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi
2024	A*	`conf`	InfiniPot: Infinite Context Processing on Memory-Constrained LLMs. EMNLP Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang
2024	J	`jnl`	InfiniPot: Infinite Context Processing on Memory-Constrained LLMs. CoRR Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang
2024	—	`conf`	Lightweight Error Correction for In-Storage Acceleration of Large Language Model Inference. ICEIC JinWoo Jeong, Byungmin Ahn, Dongmin Shin, Jungwook Choi
2024	J	`jnl`	LoL-PIM: Long-Context LLM Decoding with Scalable DRAM-PIM System. CoRR Hyucksung Kwon, Kyungmo Koo, Janghyeon Kim, Woongkyu Lee, Minjae Lee, Hyungdeok Lee, Yousub Jung, Jaehan Park, Yosub Song, Byeongsu Yang, Haerang Choi, Guhyun Kim, Jongsoon Won, Woojae Shin, Changhyun Kim, Gyeongcheol Shin, Yongkee Kwon, Ilkon Kim, Euicheol Lim, John Kim, Jungwook Choi
2024	J	`jnl`	Pruning With Scaled Policy Constraints for Light-Weight Reinforcement Learning. IEEE Access Seongmin Park, Hyungmin Kim, Hyunhak Kim, Jungwook Choi
2024	J	`jnl`	P²URE: Proactive and Probabilistic Uncovered Neighbor-Aware Relay-Selection Method in Multi-Hop FANETs. IEEE Access Yerin Lee, Jimin Jeon, Jungwook Choi, Soobum Park, Bang Chul Jung, Howon Lee
2024	J	`jnl`	Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control. CoRR Seongmin Park, Hyungmin Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi
2024	—	`conf`	RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models. ACL (Findings) Minsoo Kim, Sihwa Lee, Wonyong Sung, Jungwook Choi
2024	J	`jnl`	RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy. CoRR Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi
2024	A*	`conf`	SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. HPCA Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi
2024	—	`conf`	Searching Optimal Floating-Point Format for Sub-8-Bit Large Language Model Inference. ICEIC Youngdeok Hwang, Janghwan Lee, Jiwoong Park, Jieun Lim, Jungwook Choi
2024	—	`conf`	Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. CVPR Workshops Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi
2024	J	`jnl`	Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. CoRR Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi
2023	J	`jnl`	A Time Synchronization Protocol for Barrage Relay Networks. Sensors Woong Son, Jungwook Choi, Soobum Park, Howon Lee, Bang Chul Jung
2023	—	`conf`	Architecture-Aware Optimization of Layer Fusion for Latency-Optimal CNN Inference. AICAS Minyong Yoon, Jungwook Choi
2023	—	`conf`	Distributed Space-Time Block Coding for Barrage Relay Networks. MILCOM Ki-Hun Lee, Howon Lee, Jungwook Choi, Soobum Park, Bang Chul Jung
2023	A*	`conf`	Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization. EMNLP Janghwan Lee, Minsoo Kim, Seungcheol Baek, Seok Joong Hwang, Wonyong Sung, Jungwook Choi
2023	J	`jnl`	Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization. CoRR Janghwan Lee, Minsoo Kim, Seungcheol Baek, Seok Joong Hwang, Wonyong Sung, Jungwook Choi
2023	J	`jnl`	Exploring Attention Map Reuse for Efficient Transformer Neural Networks. CoRR Kyuhong Shim, Jungwook Choi, Wonyong Sung
2023	Misc	`conf`	Finding Optimal Numerical Format for Sub-8-Bit Post-Training Quantization of Vision Transformers. ICASSP Janghwan Lee, Youngdeok Hwang, Jungwook Choi
2023	J	`jnl`	PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices. CoRR Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi
2023	A*	`conf`	Range-Invariant Approximation of Non-Linear Operations for Efficient BERT Fine-Tuning. DAC Janghyeon Kim, Janghwan Lee, Jungwook Choi, Jeongho Han, Sangheon Lee
2023	A*	`conf`	SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots. NeurIPS Jong Wook Bae, Jungho Kim, Junyong Yun, Changwon Kang, Jeongseon Choi, Chanhyeok Kim, Junho Lee, Jungwook Choi, Jun Won Choi
2023	A	`conf`	Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. EACL Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi
2023	J	`jnl`	Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. CoRR Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi
2023	A*	`conf`	Token-Scaled Logit Distillation for Ternary Weight Generative Language Models. NeurIPS Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi
2023	J	`jnl`	Token-Scaled Logit Distillation for Ternary Weight Generative Language Models. CoRR Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi
2022	J	`jnl`	A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling. IEEE J. Solid State Circuits Sae Kyu Lee, Ankur Agrawal, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matthew Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, Monodeep Kar, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2022	J	`jnl`	Achieving low write latency through new stealth program operation supporting early write completion in NAND flash memory. J. Syst. Archit. Moonseok Jang, Kexin Wang, Sangjin Lee, Hyeonggyu Jeong, In-Yeong Song, Yong Ho Song, Jungwook Choi
2022	J	`jnl`	Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization. CoRR Seongmin Park, Beomseok Kwon, Jieun Lim, Kyuyoung Sim, Taeho Kim, Jungwook Choi
2022	J	`jnl`	Improving NVM Lifetime Using Task Stack Migration on Low-End MCU-Based Devices. IEEE Access Jeongmin Lee, Moonseok Jang, Kexin Wang, In-Yeong Song, Hyeonggyu Jeong, Jinwoo Jeong, Yong Ho Song, Jungwook Choi
2022	J	`jnl`	Learning from distinctive candidates to optimize reduced-precision convolution program on tensor cores. CoRR Junkyeong Choi, Hyucksung Kwon, Woongkyu Lee, Jungwook Choi, Jieun Lim
2022	J	`jnl`	Minimizing Global Buffer Access in a Deep Learning Accelerator Using a Local Register File with a Rearranged Computational Sequence. Sensors Minjae Lee, Zhongfeng Zhang, Seungwon Choi, Jungwook Choi
2022	A*	`conf`	NN-LUT: neural approximation of non-linear operations for efficient transformer inference. DAC Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
2022	J	`jnl`	Optimization of General Matrix Multiply Library for Ternary Weight for Fast DNN Inference. J. Signal Process. Syst. Seokhyeon Choi, Kyuhong Shim, Jungwook Choi, Wonyong Sung, Byonghyo Shim
2022	—	`conf`	Optimizing Exponent Bias for Sub-8bit Floating-Point Inference of Fine-tuned Transformers. AICAS Janghwan Lee, Jungwook Choi
2022	—	`conf`	Regularizing Activation Distribution for Ultra Low-bit Quantization-Aware Training of MobileNets. SiPS Seongmin Park, Wonyong Sung, Jungwook Choi
2022	A*	`conf`	Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders. EMNLP Minsoo Kim, Sihwa Lee, Sukjin Hong, Du-Seong Chang, Jungwook Choi
2022	J	`jnl`	Understanding and Improving Knowledge Distillation for Quantization-Aware Training of Large Transformer Encoders. CoRR Minsoo Kim, Sihwa Lee, Sukjin Hong, Du-Seong Chang, Jungwook Choi
2022	—	`conf`	Understanding and Optimizing INT4 Convolution for Accelerated DNN Inference on Tensor Cores. SiPS Junkyeong Choi, Hyucksung Kwon, Woongkyu Lee, Jieun Lim, Jungwook Choi
2022	A*	`conf`	Understanding the Role of Self Attention for Efficient Speech Recognition. ICLR Kyuhong Shim, Jungwook Choi, Wonyong Sung
2021	—	`conf`	A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling. ISSCC Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2021	J	`jnl`	Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation. IEEE Access Hyunwoo Kim, Jeonghoon Kim, Jungwook Choi, Jungkeol Lee, Yong Ho Song
2021	J	`jnl`	Buffer Management With Append-Only Data Isolation for Improving SSD Performance. IEEE Access Joonyong Jeong, Gyeongyong Lee, Jungkeol Lee, Jungwook Choi, Yong Ho Song
2021	J	`jnl`	Implementation of Embedded Testbeds Using USRP and GNU-Radio for Performance Measurement and Analysis of PPS and PCO-Based Time Synchronizations. Int. J. Interdiscip. Telecommun. Netw. Hyun Jae Park, Cheol-Woong Lee, Taeyoung Shin, Byeong-Hee Roh, Soo Bum Park, Jungwook Choi
2021	J	`jnl`	Internal Task-Aware Command Scheduling to Improve Read Performance of Embedded Flash Storage Systems. IEEE Access Gyeongyong Lee, Jaewook Kwak, Joonyong Jeong, Daeyong Lee, Moonseok Jang, Jungwook Choi, Yong Ho Song
2021	—	`conf`	Layer-wise Pruning of Transformer Attention Heads for Efficient Language Modeling. ISOCC Kyuhong Shim, Iksoo Choi, Wonyong Sung, Jungwook Choi
2021	J	`jnl`	Layer-wise Pruning of Transformer Attention Heads for Efficient Language Modeling. CoRR Kyuhong Shim, Iksoo Choi, Wonyong Sung, Jungwook Choi
2021	J	`jnl`	NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference. CoRR Joonsang Yu, Junki Park, Seongmin Park, Minsoo Kim, Sihwa Lee, Dong Hyun Lee, Jungwook Choi
2021	A*	`conf`	RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2021	J	`jnl`	Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. CoRR Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi
2021	A*	`conf`	Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. AAAI Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
2021	—	`conf`	TernGEMM: GEneral Matrix Multiply Library with Ternary Weights for Fast DNN Inference. SiPS Seokhyeon Choi, Kyuhong Shim, Jungwook Choi, Wonyong Sung, Byonghyo Shim
2021	—	`conf`	Thermal Face Detection for High-Speed AI Thermometer. IC-NIDC Woongkyu Lee, Hyucksung Kwon, Jungwook Choi
2021	—	`conf`	Understanding and Reducing Weight-Load Overhead of Systolic Deep Learning Accelerators. ISOCC Jinwon Joo, Minyong Yoon, Jungwook Choi, Mingu Kang, Jong-Geon Lee, Jinin So, IlKwon Yun, Yongsuk Kwon, Kyungsoo Kim
2020	—	`conf`	A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference. VLSI Circuits Jinwook Oh, Sae Kyu Lee, Mingu Kang, Matthew M. Ziegler, Joel Silberman, Ankur Agrawal, Swagath Venkataramani, Bruce M. Fleischer, Michael Guillorn, Jungwook Choi, Wei Wang, Silvia M. Mueller, Shimon Ben-Yehuda, James Bonanno, Nianzheng Cao, Robert Casatuta, Chia-Yu Chen, Matt Cohen, Ophir Erez, Thomas W. Fox, George Gristede, Howard Haynie, Vicktoria Ivanov, Siyu Koswatta, Shih-Hsien Lo, Martin Lutz, Gary W. Maier, Alex Mesh, Yevgeny Nustov, Scot Rider, Marcel Schaal, Michael Scheuermann, Xiao Sun, Naigang Wang, Fanchieh Yee, Ching Zhou, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2020	J	`jnl`	Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan
2020	J	`jnl`	GALRU: A Group-Aware Buffer Management Scheme for Flash Storage Systems. IEEE Access Jaewook Kwak, Jungkeol Lee, Daeyong Lee, Joonyong Jeong, Gyeongyong Lee, Jungwook Choi, Yong Ho Song
2020	J	`jnl`	Guest Editorial: Robust Resource-Constrained Systems for Machine Learning. IEEE Des. Test Theocharis Theocharides, Muhammad Shafique, Jungwook Choi, Onur Mutlu
2020	J	`jnl`	Hardware and Software Co-optimization for the Initialization Failure of the ReRAM-based Cross-bar Array. ACM J. Emerg. Technol. Comput. Syst. Youngseok Kim, Seyoung Kim, Chun-Chen Yeh, Vijay Narayanan, Jungwook Choi
2020	J	`jnl`	Hardware and software co-optimization for the initialization failure of the ReRAM based cross-bar array. CoRR Youngseok Kim, Seyoung Kim, Chun-Chen Yeh, Vijay Narayanan, Jungwook Choi
2020	J	`jnl`	Improving Write Performance Through Reliable Asynchronous Operation in Physically-Addressable SSD. IEEE Access Daeyong Lee, Jaewook Kwak, Gyeongyong Lee, Moonseok Jang, Joonyong Jeong, Kexin Wang, Jungwook Choi, Yong Ho Song
2020	J	`jnl`	Level Aware Data Placement Technique for Hybrid NAND Flash Storage of Log-Structured Merge-Tree Based Key-Value Store System. IEEE Access Joonyong Jeong, Jaewook Kwak, Daeyong Lee, Seungdo Choi, Jungkeol Lee, Jungwook Choi, Yong Ho Song
2020	—	`conf`	OPTIMUS: OPTImized matrix MUltiplication Structure for Transformer neural network accelerator. MLSys Junki Park, Hyunsung Yoon, Daehyun Ahn, Jungwook Choi, Jae-Joon Kim
2020	J	`jnl`	Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. IEEE Des. Test Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi
2020	J	`jnl`	Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. CoRR Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
2019	—	`conf`	A Compiler for Deep Neural Network Accelerators to Generate Optimized Code for a Wide Range of Data Parameters from a Hand-crafted Computation Kernel. COOL CHIPS Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Swagath Venkataramani, Jungwook Choi, Wei Wang, Vijayalakshmi Srinivasan, Moriyoshi Ohara, Kailash Gopalakrishnan
2019	—	`conf`	Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. ICLR (Poster) Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan
2019	J	`jnl`	Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. CoRR Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan
2019	—	`conf`	Accurate and Efficient 2-bit Quantized Neural Networks. SysML Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Zhuo Wang, Pierce Chuang
2019	—	`ch.`	Approximate Computing Techniques for Deep Neural Networks. Approximate Circuits Jungwook Choi, Swagath Venkataramani
2019	A*	`conf`	BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks. DAC Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang
2019	—	`conf`	CH-MAC: A Cluster-based, Hybrid TDMA MAC Protocol over Wireless Ad-hoc Networks. MILCOM Hoyong Choi, Jihwan Bang, Namjo Ahn, Jinhwan Jung, Jungwook Choi, Soobum Park, Yung Yi
2019	C	`conf`	DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference. ARITH Ankur Agrawal, Bruce M. Fleischer, Silvia M. Mueller, Xiao Sun, Naigang Wang, Jungwook Choi, Kailash Gopalakrishnan
2019	J	`jnl`	DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator. IEEE Micro Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Wei Wang, Jintao Zhang, Marcel Schaal, Mauricio J. Serrano, Kazuaki Ishizaki, Hiroshi Inoue, Eri Ogawa, Moriyoshi Ohara, Leland Chang, Kailash Gopalakrishnan
2019	A*	`conf`	Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks. NeurIPS Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Xiaodong Cui, Wei Zhang, Kailash Gopalakrishnan
2019	Misc	`conf`	Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems. HiPC Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Philip Heidelberger, Leland Chang, Kailash Gopalakrishnan
2019	—	`conf`	Performance-driven Programming of Multi-TFLOP Deep Learning Accelerators. IISWC Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Leland Chang
2019	Misc	`conf`	Workload-aware Automatic Parallelization for Multi-GPU DNN Training. ICASSP Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung
2018	—	`conf`	A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference. VLSI Circuits Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Vijayalakshmi Srinivasan, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2018	A	`conf`	Across the Stack Opportunities for Deep Learning Acceleration. ISLPED Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2018	A*	`conf`	AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. AAAI Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan
2018	J	`jnl`	Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN). CoRR Jungwook Choi, Pierce I-Jen Chuang, Zhuo Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan
2018	A*	`conf`	Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. DAC Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Pierce Chuang, Leland Chang
2018	A	`conf`	Exploiting approximate computing for deep learning acceleration. DATE Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Viji Srinivasan, Swagath Venkataramani
2018	J	`jnl`	PACT: Parameterized Clipping Activation for Quantized Neural Networks. CoRR Jungwook Choi, Zhuo Wang, Swagath Venkataramani, Pierce I-Jen Chuang, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan
2018	A*	`conf`	PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms. ISCA Prakalp Srivastava, Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Jungwook Choi, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag
2018	A	`conf`	Taming the beast: Programming Peta-FLOP class Deep Learning Systems. ISLPED Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang
2018	A*	`conf`	Training Deep Neural Networks with 8-bit Floating Point Numbers. NeurIPS Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan
2018	J	`jnl`	Training Deep Neural Networks with 8-bit Floating Point Numbers. CoRR Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan
2018	Misc	`conf`	True Gradient-Based Training of Deep Binary Activated Neural Networks Via Continuous Binarization. ICASSP Charbel Sakr, Jungwook Choi, Zhuo Wang, Kailash Gopalakrishnan, Naresh R. Shanbhag
2018	J	`jnl`	Workload-aware Automatic Parallelization for Multi-GPU DNN Training. CoRR Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung
2017	A*	`conf`	Accelerator Design for Deep Learning Training: Extended Abstract: Invited. DAC Ankur Agrawal, Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Jinwook Oh, Sunil Shukla, Viji Srinivasan, Swagath Venkataramani, Wei Zhang
2017	J	`jnl`	AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. CoRR Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan
2017	B	`conf`	POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators. PACT Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Leland Chang
2017	B	`conf`	Toward a pixel-parallel architecture for graph cuts inference on FPGA. FPL Tianqi Gao, Jungwook Choi, Shang-nien Tsai, Rob A. Rutenbar
2016	Misc	`conf`	Analysis of error resiliency of belief propagation in computer vision. ICASSP Jungwook Choi, Ameya D. Patil, Rob A. Rutenbar, Naresh R. Shanbhag
2016	—	`conf`	Approximate computing: Challenges and opportunities. ICRC Ankur Agrawal, Jungwook Choi, Kailash Gopalakrishnan, Suyog Gupta, Ravi Nair, Jinwook Oh, Daniel A. Prener, Sunil Shukla, Vijayalakshmi Srinivasan, Zehra Sura
2016	B	`conf`	Configurable and scalable belief propagation accelerator for computer vision. FPL Jungwook Choi, Rob A. Rutenbar
2016	—	`conf`	Energy-Efficient Simultaneous Localization and Mapping via Compounded Approximate Computing. SiPS Jinwook Oh, Jungwook Choi, Guilherme C. Januario, Kailash Gopalakrishnan
2016	J	`jnl`	Error Resilient and Energy Efficient MRF Message-Passing-Based Stereo Matching. IEEE Trans. Very Large Scale Integr. Syst. Eric P. Kim, Jungwook Choi, Naresh R. Shanbhag, Rob A. Rutenbar
2016	J	`jnl`	Video-Rate Stereo Matching Using Markov Random Field TRW-S Inference on a Hybrid CPU+FPGA Computing Platform. IEEE Trans. Circuits Syst. Video Technol. Jungwook Choi, Rob A. Rutenbar
2015	B	`conf`	Fast hierarchical implementation of sequential tree-reweighted belief propagation for probabilistic inference. FPL Skand Hurkat, Jungwook Choi, Eriko Nurvitadhi, José F. Martínez, Rob A. Rutenbar
2015	—	`—`	High performance and error resilient probabilistic inference system for machine learning Jungwook Choi
2015	J	`jnl`	Transmission Power Control with the Guaranteed Communication Reliability in WSN. Int. J. Distributed Sens. Networks Dae-Young Kim, Zilong Jin, Jungwook Choi, Ben Lee, Jinsung Cho
2014	Misc	`conf`	A robust message passing based stereo matching kernel via system-level error resiliency. ICASSP Eric P. Kim, Jungwook Choi, Naresh R. Shanbhag, Rob A. Rutenbar
2013	B	`conf`	EMERALD: Characterization of emerging applications and algorithms for low-power devices. ISPASS 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, Bin Li, Li Zhao, Mei Chen
2013	—	`conf`	Error resilient MRF message passing architecture for stereo matching. SiPS Jungwook Choi, Eric P. Kim, Rob A. Rutenbar, Naresh R. Shanbhag
2013	C	`conf`	FPGA acceleration of Markov Random Field TRW-S inference for stereo matching. MEMOCODE Jungwook Choi, Rob A. Rutenbar
2013	A	`conf`	Video-rate stereo matching using markov random field TRW-S inference on a hybrid CPU+FPGA computing platform. FPGA Jungwook Choi, Rob A. Rutenbar
2012	J	`jnl`	Deformable Carbon Nanotube-Contact Pads for Inertial Microswitch to Extend Contact Time. IEEE Trans. Ind. Electron. Jae-Ik Lee, Youngsup Song, Hakkyun Jung, Jungwook Choi, Youngkee Eun, Jongbaeg Kim
2012	J	`jnl`	Flexible and Expandable Speech Recognition Hardware with Weighted Finite State Transducers. J. Signal Process. Syst. Kisun You, Jungwook Choi, Wonyong Sung
2012	B	`conf`	Hardware implementation of MRF map inference on an FPGA platform. FPL Jungwook Choi, Rob A. Rutenbar
2011	J	`jnl`	Memory Access Optimized VLSI for 5000-Word Continuous Speech Recognition. J. Signal Process. Syst. Kisun You, Young-kyu Choi, Jungwook Choi, Wonyong Sung
2010	J	`jnl`	A Real-Time FPGA-Based 20 000-Word Speech Recognizer With Optimized DRAM Access. IEEE Trans. Circuits Syst. I Regul. Pap. Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong Sung
2010	Misc	`conf`	An FPGA implementation of speech recognition with weighted finite state transducers. ICASSP Jungwook Choi, Kisun You, Wonyong Sung
2010	—	`conf`	Supporting handover in an IEEE 802.11p-based wireless access system. Vehicular Ad Hoc Networks Jungwook Choi, Hyukjoon Lee
2009	Misc	`conf`	VLSI for 5000-word continuous speech recognition. ICASSP Young-kyu Choi, Kisun You, Jungwook Choi, Wonyong Sung
2006	A	`conf`	A Study on the Development of Ubiquitous CellPhone Robot. IROS Seungwoo Kim, Dongik Oh, Dongwook Kim, Yongrae Jung, Jacil Choe, Jungwook Choi