Dongsoo Lee - RankMe

86 papers A* 16A 4B 1Misc 3Journal 45Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	31.7 LUT-SSM: A 99.3TFLOPS/W LUT-Based State-Space Model Accelerator Using Energy-Efficient Element-Wise Layer Fusion and LUT-Friendly Weight-Only Quantization. ISSCC Sunwoo Yoo, Dongyun Kam, Gunho Park, Soonhyun Kwon, Dongsoo Lee, Youngjoo Lee
2026	J	`jnl`	Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention. CoRR Jeongin Bae, Baeseong Park, Gunho Park, Minsub Kim, Joonhyung Lee, Junhee Yoo, Sunghyeon Woo, Jiwon Ryu, Se Jung Kwon, Dongsoo Lee
2026	J	`jnl`	ICaRus: Identical Cache Reuse for Efficient Multi Model Inference. CoRR Sunghyeon Woo, Jaeeun Kil, Hoseung Kim, Minsub Kim, Joonghoon Kim, Ahreum Seo, Sungjae Lee, Minjung Jo, Jiwon Ryu, Baeseong Park, Se Jung Kwon, Dongsoo Lee
2026	J	`jnl`	PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving. CoRR Sunghyeon Woo, Hoseung Kim, Sunghwan Shim, Minjung Jo, Hyunjoon Jeong, Jeongtae Lee, Joonghoon Kim, Sungjae Lee, Baeseong Park, Se Jung Kwon, Dongsoo Lee
2026	J	`jnl`	SUN: Shared Use of Next-token Prediction for Efficient Multi-LLM Disaggregated Serving. CoRR Sunghyeon Woo, Ahreum Seo, Jaegwang Lee, Jaeeun Kil, Hanbae Seo, Joonghoon Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee
2026	J	`jnl`	Training-free Dropout Sampling for Semantic Token Acceptance in Speculative Decoding. CoRR Jeongtae Lee, Minjung Jo, Hyunjoon Jeong, Gunho Park, Sunghyeon Woo, Joonghoon Kim, Se Jung Kwon, Dongsoo Lee
2025	—	`conf`	5.4 A 22nm FDSOI CMOS-Based Compact 3-Stack Doherty Power Amplifier with a Stacked OPA-Based Bias Scheme Achieving >16.5dBm Pavg for 5G FR2 Applications. ISSCC Jooseok Lee, Hansik Oh, Seungjae Baek, Seungwon Park, Dongsoo Lee, Sehyug Jeon, Taewan Kim, Joonho Jung, Sung-Gi Yang
2025	J	`jnl`	An Investigation of FP8 Across Accelerators for LLM Inference. CoRR JiWoo Kim, Joonhyung Lee, Gunho Park, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee, Youngjoo Lee
2025	J	`jnl`	AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs. CoRR Gunho Park, Jeongin Bae, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
2025	J	`jnl`	CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs. CoRR Gunho Park, Jeongin Bae, Byeongwook Kim, Baeseong Park, Jiwon Ryu, Hoseung Kim, Se Jung Kwon, Dongsoo Lee
2025	J	`jnl`	Debunking the CUDA Myth Towards GPU-based AI Systems. CoRR Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025	A*	`conf`	Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving. ISCA Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025	A*	`conf`	FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. HPCA Gunho Park, Hyeokjun Kwon, JiWoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2025	J	`jnl`	FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. CoRR Gunho Park, Hyeokjun Kwon, JiWoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2025	J	`jnl`	Faster Inference of LLMs using FP8 on the Intel Gaudi. CoRR Joonhyung Lee, Shmulik Markovich-Golan, Daniel Ohayon, Yair Hanani, Gunho Park, Byeongwook Kim, Asaf Karnieli, Uri Livne, Haihao Shen, Tai Huang, Se Jung Kwon, Dongsoo Lee
2025	J	`jnl`	Fully Parallel, One-Cycle Random Shuffling for Efficient Countermeasure Against Side Channel Attack and Its Complexity Verification. IEEE Trans. Emerg. Top. Comput. Jong-Yeon Park, Dongsoo Lee, Seonggyeom Kim, Wonil Lee, Bo Gyeong Kang, Kouichi Sakurai
2025	—	`conf`	LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. NAACL (Long Papers) Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2025	J	`jnl`	SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification. CoRR Kanghoon Yoon, Minsub Kim, Sungjae Lee, Joonhyung Lee, Sunghyeon Woo, Yeonjun In, Se Jung Kwon, Chanyoung Park, Dongsoo Lee
2025	—	`conf`	Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models. ACL (1) Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee
2025	J	`jnl`	Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models. CoRR Seungcheol Park, Jeongin Bae, Beomseok Kwon, Minjun Kim, Byeongwook Kim, Se Jung Kwon, U Kang, Dongsoo Lee
2024	—	`conf`	32.2 A 24.25-to-29.5GHz Extremely Compact Doherty Power Amplifier with Differential-Breaking Phase Offset Achieving 23.7% PAEavg for 5G Base-Station Transceivers. ISSCC Hansik Oh, Seungwon Park, Jooseok Lee, Seungjae Baek, Joonho Jung, Taewan Kim, JinHyun Kim, Woojae Lee, Jae-Hong Park, Kihyun Kim, Dong-hyun Lee, Sangho Lee, Jeong Ho Lee, Ji Hoon Kim, Younghwan Kim, Sangyong Park, Bohee Suh, Soyoung Oh, Dongsoo Lee, Sehyug Jeon, Juho Son, Sung-Gi Yang
2024	A*	`conf`	DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation. NeurIPS Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee
2024	J	`jnl`	DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation. CoRR Sunghyeon Woo, Baeseong Park, Byeongwook Kim, Minjung Jo, Sejung Kwon, Dongsuk Jeon, Dongsoo Lee
2024	J	`jnl`	LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2024	A*	`conf`	LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. ICLR Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2024	J	`jnl`	No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. CoRR June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee
2024	A*	`conf`	Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. ICLR Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
2024	J	`jnl`	To FP8 and Back Again: Quantifying the Effects of Reducing Precision on LLM Training Stability. CoRR Joonhyung Lee, Jeongin Bae, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
2023	A*	`conf`	FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. ICML Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee
2023	J	`jnl`	FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. CoRR Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee
2023	J	`jnl`	Fully Parallel, One-Cycle Random Shuffling for Efficient Countermeasure in Post-Quantum Cryptography. IACR Cryptol. ePrint Arch. Jong-Yeon Park, Dongsoo Lee, Seonggyeom Kim, Wonil Lee, Bo-Gyeong Kang, Kouichi Sakurai
2023	A*	`conf`	Information Geometry of the Retinal Representation Manifold. NeurIPS Xuehao Ding, Dongsoo Lee, Joshua Melander, George Sivulka, Surya Ganguli, Stephen Baccus
2023	J	`jnl`	Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. Bioinform. Jun Young Park, Jang Jae Lee, Younghwa Lee, Dongsoo Lee, Jungsoo Gim, Lindsay A. Farrer, Kun Ho Lee, Sungho Won
2023	A*	`conf`	Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. NeurIPS Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2023	J	`jnl`	Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. CoRR Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2023	J	`jnl`	Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models. CoRR Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
2023	—	`conf`	Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. MLSys Younghoon Byun, Seungsik Moon, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, Youngjoo Lee
2023	A*	`conf`	TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. DAC Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2023	J	`jnl`	V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Taesu Kim, Daehyun Ahn, Dongsoo Lee, Jae-Joon Kim
2023	A*	`conf`	Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic. ICLR Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeongwook Kim, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Jae-Joon Kim
2022	—	`conf`	AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022	J	`jnl`	AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
2022	—	`conf`	Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. MLCN@MICCAI Dongsoo Lee, Chong Hyun Suh, Jinyoung Kim, Wooseok Jung, Changhyun Park, Kyu-Hwan Jung, Seo Taek Kong, Woo-Hyun Shim, Hwon Heo, Sang Joon Kim
2022	—	`conf`	DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. HCS Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022	A*	`conf`	DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. MICRO Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022	J	`jnl`	DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. CoRR Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim
2022	A*	`conf`	Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression. ICLR Baeseong Park, Se Jung Kwon, Daehwan Oh, Byeongwook Kim, Dongsoo Lee
2022	A*	`conf`	Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
2022	J	`jnl`	Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
2022	—	`conf`	Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. MLCN@MICCAI Wooseok Jung, Chong Hyun Suh, Woo-Hyun Shim, Jinyoung Kim, Dongsoo Lee, Changhyun Park, Seo Taek Kong, Kyu-Hwan Jung, Hwon Heo, Sang Joon Kim
2022	J	`jnl`	nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models. CoRR Gunho Park, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2021	—	`conf`	A mechanistically interpretable model of the retinal neural code for natural scenes with multiscale adaptive dynamics. ACSCC Xuehao Ding, Dongsoo Lee, Satchel Grant, Heike Stein, Lane McIntosh, Niru Maheswaranathan, Stephen Baccus
2021	J	`jnl`	Modulating Regularization Frequency for Efficient Compression-Aware Model Training. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Baeseong Park, Yongkweon Jeon
2021	J	`jnl`	Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization. CoRR Byeongwook Kim, Dongsoo Lee, Yeonju Ro, Yongkweon Jeon, Se Jung Kwon, Baeseong Park, Daehwan Oh
2021	J	`jnl`	Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity. CoRR Baeseong Park, Se Jung Kwon, Dongsoo Lee, Daehwan Oh, Byeongwook Kim, Yongkweon Jeon, Yeonju Ro
2020	Misc	`conf`	A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms. ACSSC Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han
2020	J	`jnl`	A review of on-device fully neural end-to-end automatic speech recognition algorithms. CoRR Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han
2020	J	`jnl`	BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs. CoRR Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee
2020	A	`conf`	BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs. SC Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee
2020	—	`conf`	Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. EMNLP (Findings) Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee
2020	J	`jnl`	Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. CoRR Insoo Chung, Byeongwook Kim, Yoonjung Choi, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Sangha Kim, Dongsoo Lee
2020	A*	`conf`	FleXOR: Trainable Fractional Quantization. NeurIPS Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun
2020	J	`jnl`	FleXOR: Trainable Fractional Quantization. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun
2020	A*	`conf`	Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. CVPR Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
2019	—	`conf`	Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network. ICLR (Poster) Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim
2019	J	`jnl`	Learning Low-Rank Approximation for CNNs. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Gu-Yeon Wei
2019	J	`jnl`	Network Pruning for Low-Rank Binary Indexing. CoRR Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei
2019	J	`jnl`	Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks. CoRR Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei
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	J	`jnl`	DeepTwist: Learning Model Compression via Occasional Weight Distortion. CoRR Dongsoo Lee, Parichay Kapoor, Byeongwook Kim
2018	J	`jnl`	Retraining-Based Iterative Weight Quantization for Deep Neural Networks. CoRR Dongsoo Lee, Byeongwook Kim
2018	—	`conf`	Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. ICLR (Poster) Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim
2017	A*	`conf`	Forward Secure Dynamic Searchable Symmetric Encryption with Efficient Updates. CCS Kee Sung Kim, Minkyu Kim, Dongsoo Lee, Je Hong Park, Woo-Hwan Kim
2017	Misc	`conf`	Security of Stateful Order-Preserving Encryption. ICISC Kee Sung Kim, Minkyu Kim, Dongsoo Lee, Je Hong Park, Woo-Hwan Kim
2016	J	`jnl`	Embedding Read-Only Memory in Spin-Transfer Torque MRAM-Based On-Chip Caches. IEEE Trans. Very Large Scale Integr. Syst. Xuanyao Fong, Rangharajan Venkatesan, Dongsoo Lee, Anand Raghunathan, Kaushik Roy
2016	—	`conf`	Optimal wavelength provisioning with fuzzy logic control for power saving in TWDM-PONs. ICTC Hark Yoo, Dongsoo Lee, Man-Soo Han
2014	—	`conf`	Design and Optimization of Multiple-Mesh Clock Network. VLSI-SoC (Selected Papers) Jinwook Jung, Dongsoo Lee, Youngsoo Shin
2013	J	`jnl`	Area Efficient ROM-Embedded SRAM Cache. IEEE Trans. Very Large Scale Integr. Syst. Dongsoo Lee, Kaushik Roy
2013	J	`jnl`	Fast management of ONUs based on broadcast control channel for a 10-gigabit-capable passive optical network (XG-PON) system. J. Commun. Networks Youngsuk Lee, Dongsoo Lee, Hark Yoo, Youngsun Kim, Younghan Kim
2012	A	`conf`	High-performance low-energy STT MRAM based on balanced write scheme. ISLPED Dongsoo Lee, Sumeet Kumar Gupta, Kaushik Roy
2012	J	`jnl`	Soft-Error-Resilient FPGAs Using Built-In 2-D Hamming Product Code. IEEE Trans. Very Large Scale Integr. Syst. Sang Phill Park, Dongsoo Lee, Kaushik Roy
2012	J	`jnl`	Viterbi-Based Efficient Test Data Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Dongsoo Lee, Kaushik Roy
2011	A	`conf`	Column-selection-enabled 8T SRAM array with ~1R/1W multi-port operation for DVFS-enabled processors. ISLPED Sang Phill Park, Soo Youn Kim, Dongsoo Lee, Jae-Joon Kim, W. Paul Griffin, Kaushik Roy
2011	Misc	`conf`	Memory-based embedded digital ATE. VTS Dongsoo Lee, Sang Phill Park, Ashish Goel, Kaushik Roy
2011	B	`conf`	Viterbi-Based Efficient Test Data Compression. ETS Dongsoo Lee, Kaushik Roy