Sangjin Kim - RankMe

141 papers A* 2A 2B 2C 21Misc 6Journal 56Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	31.2 Revolver: Low-Bit GenAI Accelerator for Distilled-Model and CoT with Phase-Aware-Quantization and Rotation-Based Integer-Scaled Group Quantization. ISSCC Sangjin Kim, Jungjun Oh, Byeongcheol Kim, Yuseon Choi, Gwangtae Park, Hoi-Jun Yoo
2026	J	`jnl`	An Energy-Efficient High Resolution Vision Transformer Processor Exploiting Token Similarity Beyond Token Merging. IEEE Trans. Very Large Scale Integr. Syst. Jungjun Oh, Sangjin Kim, Jiwon Choi, Junha Ryu, Byeongcheol Kim, Yuseon Choi, Hoi-Jun Yoo
2026	J	`jnl`	Cache-PIM: An ECC-Compatible eDRAM Processing-in-Memory for Last-Level Cache With Triple-Level Error Correction. IEEE J. Solid State Circuits Sangwoo Ha, Soyeon Um, Sangjin Kim, Kyomin Sohn, Hoi-Jun Yoo
2026	J	`jnl`	EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization. IEEE J. Solid State Circuits Sangjin Kim, Jungjun Oh, Jeonggyu So, Yuseon Choi, Sangyeob Kim, Dongseok Im, Gwangtae Park, Hoi-Jun Yoo
2026	A*	`conf`	GyRot: Leveraging Hidden Synergy Between Rotation and Fine-Grained Group Quantization for Low-Bit LLM Inference. HPCA Sangjin Kim, Yuseon Chou, Byeongcheol Kim, Jungjun Oh, Hoi-Jun Yoo
2026	—	`conf`	SMoLPU: 122.1µJ/Token Sparse MoE-Based Speculative Decoding Language Processing Unit with Adaptive-Offload NPU-CIM Core. ISSCC Sangwoo Ha, Jingu Lee, Youngjin Moon, Sunjoo Whang, Wooyoung Jo, Gwangtae Park, Sangjin Kim, Soyeon Um, Junha Ryu, Yurim Jo, Hoi-Jun Yoo
2025	—	`conf`	23.3 EdgeDiff: 418.4mJ/Inference Multi-Modal Few-Step Diffusion Model Accelerator with Mixed-Precision and Reordered Group Quantization. ISSCC Sangjin Kim, Jungjun Oh, Jeonggyu So, Yuseon Choi, Sangyeob Kim, Dongseok Im, Gwangtae Park, Hoi-Jun Yoo
2025	—	`conf`	23.7 BROCA: A 52.4-to-559.2mW Mobile Social Agent System-on-Chip with Adaptive Bit-Truncate Unit and Acoustic-Cluster Bit Grouping. ISSCC Wooyoung Jo, Seongyon Hong, Jiwon Choi, Beomseok Kwon, Haoyang Sang, Dongseok Im, Sangyeob Kim, Sangjin Kim, Taekwon Lee, Hoi-Jun Yoo
2025	C	`conf`	A 17.1 TOPS/W FP-INT Transformer Inference Accelerator with Sparsity Boosting and Output Importance-Aware Processing. ISCAS Jeonggyu So, Seongyon Hong, Jiwon Choi, Wooyoung Jo, Sangjin Kim, Hoi-Jun Yoo, Donghyeon Han
2025	C	`conf`	A 32.65µm ISCAS Jingu Lee, Sangwoo Ha, Sunjoo Whang, Soyeon Kim, Sangjin Kim, Soyeon Um, Wooyoung Jo, Hoi-Jun Yoo
2025	C	`conf`	A 4.21 TFLOPS/W Memory-Efficient LLM Inference Accelerator with Bit-Layered Non-Uniform Quantization. ISCAS Byeongcheol Kim, Sangjin Kim, Sangwoo Ha, Soyeon Um, Kyomin Sohn, Hoi-Jun Yoo
2025	C	`conf`	A 62.8 TOPS/W FP-INT Digital Computing-in Memory Processor with Bit-Reordered Adder Tree and Low Active Hierarchical Accumulator. ISCAS Sunjoo Whang, Sangwoo Ha, Soyeon Um, Sangjin Kim, Hoi-Jun Yoo
2025	C	`conf`	A 9.6 TOPS/W Vision Transformer Processor with Hierarchical Token Merging for Similarity-Driven Difference Computing. ISCAS Jungjun Oh, Sangjin Kim, Jiwon Choi, Byeongcheol Kim, Hoi-Jun Yoo
2025	—	`conf`	BROCA: A Low-power and Low-latency Conversational Agent RISC-V System-on-Chip for Voice-interactive Mobile Devices. HCS Wooyoung Jo, Seongyon Hong, Jiwon Choi, Beomseok Kwon, Haoyang Sang, Dongseok Im, Sangyeob Kim, Sangjin Kim, Chaeyun Jeong, Yujin Moon, Hoi-Jun Yoo
2025	J	`jnl`	C-Transformer: An Energy-Efficient Homogeneous DNN-Transformer/SNN-Transformer Processor for Large Language Models. IEEE J. Solid State Circuits Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Soyeon Kim, Seongyon Hong, Nayeong Lee, Jungwan Lee, Hoi-Jun Yoo
2025	J	`jnl`	Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction. CoRR Jong-Min Kim, Il Do Ha, Sangjin Kim
2025	J	`jnl`	Deep learning-based survival analysis with copula-based activation functions for multivariate response prediction. Comput. Stat. Jong-Min Kim, Il Do Ha, Sangjin Kim
2025	J	`jnl`	Dyamond: Compact and Efficient 1T1C DRAM IMC Accelerator With Bit Column Addition for Memory-Intensive AI. IEEE J. Solid State Circuits Seongyon Hong, Wooyoung Jo, Sangjin Kim, Sangyeob Kim, Soyeon Um, Kyomin Sohn, Hoi-Jun Yoo
2025	J	`jnl`	ED-MPIM: An Energy-Efficient Event-Driven Smart Vision SoC With High-Linearity and Reconfigurable MRAM PIM. IEEE J. Solid State Circuits Wenao Xie, Haoyang Sang, Beomseok Kwon, Dongseok Im, Sangjin Kim, Sangyeob Kim, Kangho Lee, Hoi-Jun Yoo
2025	—	`conf`	EdgeDiff: Multi-modal Few-step Diffusion Model Accelerator with Mixed-Precision and Reordered Group-Quantization for On-device Generative AI Motivation. HCS Sangjin Kim, Jungjun Oh, Jeonggyu So, Yuseon Choi, Sangyeob Kim, Dongseo Kim, Gwangtae Park, Hoi-Jun Yoo
2025	J	`jnl`	LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. Sangjin Kim, Yuseon Choi, Jungjun Oh, Byeongcheol Kim, Hoi-Jun Yoo
2025	J	`jnl`	SeVeDo: A Heterogeneous Transformer Accelerator for Low-Bit Inference via Hierarchical Group Quantization and SVD-Guided Mixed Precision. CoRR Yuseon Choi, Sangjin Kim, Jungjun Oh, Byeongcheol Kim, Hoi-Jun Yoo
2025	J	`jnl`	SliceMoE: Bit-Sliced Expert Caching under Miss-Rate Constraints for Efficient MoE Inference. CoRR Yuseon Choi, Sangjin Kim, Jungjun Oh, Gwangtae Park, Byeongcheol Kim, Hoi-Jun Yoo
2025	—	`conf`	TelAgentBench: A Multi-faceted Benchmark for Evaluating LLM-based Agents in Telecommunications. EMNLP (Industry Track) Sunwoo Lee, Daseong Jang, Dhammiko Arya, Gyoung-eun Han, Injee Song, Saerom Kim, Sangjin Kim, Seojin Lee, Seokyoung Hong, Sereimony Sek, Seung-Mo Cho, Sohee Park, Sungbin Yoon, Wonbeom Jang, Eric Davis
2025	J	`jnl`	Text as Data: A New Framework for Machine Learning and the Social Sciences: Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart, Princeton, NJ: Princeton University Press, 2022, 360 pp. $99.95 (Hardcover), ISBN: 9780691207544, $43 (Paperback), ISBN: 9780691207551. Technometrics Sangjin Kim, Jai Woo Lee
2024	—	`conf`	20.5 C-Transformer: A 2.6-18.1μJ/Token Homogeneous DNN-Transformer/Spiking-Transformer Processor with Big-Little Network and Implicit Weight Generation for Large Language Models. ISSCC Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Soyeon Kim, Seongyon Hong, Hoi-Jun Yoo
2024	J	`jnl`	A 92 fps and 2.56 mJ/Frame Computing-In-Memory-Based Human Pose Estimation Accelerator With Resource-Efficient Macro for Mobile Devices. IEEE Trans. Circuits Syst. II Express Briefs Beomseok Kwon, Zhiyong Li, Sangjin Kim, Wooyoung Jo, Hoi-Jun Yoo
2024	J	`jnl`	A Low-Power Artificial-Intelligence-Based 3-D Rendering Processor With Hybrid Deep Neural Network Computing. IEEE Micro Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo
2024	—	`conf`	A Low-Power Large-Language-Model Processor with Big-Little Network and Implicit-Weight-Generation for On-Device AI. HCS Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Soyeon Kim, Seongyon Hong, Nayeong Lee, Hoi-Jun Yoo
2024	J	`jnl`	An Overview of Computing-in-Memory Circuits With DRAM and NVM. IEEE Trans. Circuits Syst. II Express Briefs Sangjin Kim, Hoi-Jun Yoo
2024	J	`jnl`	C-DNN: An Energy-Efficient Complementary Deep-Neural-Network Processor With Heterogeneous CNN/SNN Core Architecture. IEEE J. Solid State Circuits Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Jiwon Choi, Hoi-Jun Yoo
2024	J	`jnl`	COOL-NPU: Complementary Online Learning Neural Processing Unit. IEEE Micro Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Jiwon Choi, Donghyeon Han, Hoi-Jun Yoo
2024	—	`conf`	Dyamond: A 1T1C DRAM In-memory Computing Accelerator with Compact MAC-SIMD and Adaptive Column Addition Dataflow. VLSI Technology and Circuits Seongyon Hong, Wooyoung Jo, Sangjin Kim, Sangyeob Kim, Kyomin Sohn, Hoi-Jun Yoo
2024	J	`jnl`	DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell. IEEE J. Solid State Circuits Sangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo
2024	A*	`conf`	ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis. ICML Jungil Kong, Junmo Lee, Jeongmin Kim, Beomjeong Kim, Jihoon Park, Dohee Kong, Changheon Lee, Sangjin Kim
2024	—	`conf`	EnTADRL: Deep Reinforcement Learning System-on-Chip for End-to-End Training Acceleration. A-SSCC Jingu Lee, Sanghyuk An, Jongjun Park, Jiwon Choi, Haoyang Sang, Sangwoo Ha, Sangjin Kim, Hoi-Jun Yoo
2024	J	`jnl`	LOG-CIM: An Energy-Efficient Logarithmic Quantization Computing-In-Memory Processor With Exponential Parallel Data Mapping and Zero-Aware 6T Dual-WL Cell. IEEE J. Solid State Circuits Soyeon Um, Sangjin Kim, Seongyon Hong, Sangyeob Kim, Hoi-Jun Yoo
2024	J	`jnl`	MetaVRain: A Mobile Neural 3-D Rendering Processor With Bundle-Frame-Familiarity-Based NeRF Acceleration and Hybrid DNN Computing. IEEE J. Solid State Circuits Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo
2024	—	`conf`	NoPIM: Functional Network-on-Chip Architecture for Scalable High-Density Processing-in-Memory-based Accelerator. COOL CHIPS Sangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Sangyeob Kim, Hoi-Jun Yoo
2024	—	`conf`	Opportunities and Challenges of DRAM-based Computing-in-Memory for AI Accelerator. ISOCC Sangjin Kim, Hoi-Jun Yoo
2024	J	`jnl`	Scaling-CIM: eDRAM In-Memory-Computing Accelerator With Dynamic-Scaling ADC and Adaptive Analog Operation. IEEE J. Solid State Circuits Sangjin Kim, Soyeon Um, Wooyoung Jo, Jingu Lee, Sangwoo Ha, Zhiyong Li, Hoi-Jun Yoo
2024	C	`conf`	Two-Step Spike Encoding Scheme and Architecture for Highly Sparse Spiking-Neural-Network. ISCAS Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Hoi-Jun Yoo
2023	C	`conf`	A 332 TOPS/W Input/Weight-Parallel Computing-in-Memory Processor with Voltage-Capacitance-Ratio Cell and Time-Based ADC. ISCAS Seongyon Hong, Soyeon Um, Sangjin Kim, Sangyeob Kim, Wooyoung Jo, Hoi-Jun Yoo
2023	C	`conf`	A 5.99 TFLOPS/W Heterogeneous CIM-NPU Architecture for an Energy Efficient Floating-Point DNN Acceleration. ISCAS Wonhoon Park, Junha Ryu, Sangjin Kim, Soyeon Um, Wooyoung Jo, Sangyoeb Kim, Hoi-Jun Yoo
2023	—	`conf`	A 709.3 TOPS/W Event-Driven Smart Vision SoC with High-Linearity and Reconfigurable MRAM PIM. VLSI Technology and Circuits Wenao Xie, Haoyang Sang, Beomseok Kwon, Dongseok Im, Sangjin Kim, Sangyeob Kim, Hoi-Jun Yoo
2023	—	`conf`	A Low-power Neural 3D Rendering Processor with Bio-inspired Visual Perception Core and Hybrid DNN Acceleration. COOL CHIPS Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo
2023	C	`conf`	A Reconfigurable 1T1C eDRAM-based Spiking Neural Network Computing-In-Memory Processor for High System-Level Efficiency. ISCAS Seryeong Kim, Soyeon Kim, Soyeon Um, Sangjin Kim, Zhiyong Li, Sangyeob Kim, Wooyoung Jo, Hoi-Jun Yoo
2023	J	`jnl`	An Efficient Deep-Learning-Based Super-Resolution Accelerating SoC With Heterogeneous Accelerating and Hierarchical Cache. IEEE J. Solid State Circuits Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo
2023	—	`conf`	An Energy-Efficient Heterogeneous Fourier Transform-Based Transformer Accelerator with Frequency-Wise Dynamic Bit-Precision. A-SSCC Jingu Lee, Sangjin Kim, Wooyoung Jo, Hoi-Jun Yoo
2023	—	`conf`	C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network Processor with Heterogeneous CNN/SNN Core Architecture and Forward-Gradient-Based Sparsity Generation. ISSCC Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Hoi-Jun Yoo
2023	—	`conf`	COOL-NPU: Complementary Online Learning Neural Processing Unit with CNN-SNN Heterogeneous Core and Event-driven Backpropagation. COOL CHIPS Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Jiwon Choi, Hoi-Jun Yoo
2023	J	`jnl`	Development of a virtual metrology system for smart manufacturing: A case study of spandex fiber production. Comput. Ind. Dong-Joon Lim, Sangjin Kim, Uijong Hwang, Sanghun Jeong, Dongwook Kim, Yeolib Kim
2023	—	`conf`	DynaPlasia: An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource Switching. ISSCC Sangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo
2023	J	`jnl`	Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis. CoRR Jungil Kong, Junmo Lee, Jeongmin Kim, Beomjeong Kim, Jihoon Park, Dohee Kong, Changheon Lee, Sangjin Kim
2023	—	`conf`	GPPU: A 330.4-μJ/ task Neural Path Planning Processor with Hybrid GNN Acceleration for Autonomous 3D Navigation. VLSI Technology and Circuits Seokchan Song, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Gwangtae Park, Hoi-Jun Yoo
2023	—	`conf`	LOG-CIM: A 116.4 TOPS/W Digital Computing-In-Memory Processor Supporting a Wide Range of Logarithmic Quantization with Zero-Aware 6T Dual-WL Cell. A-SSCC Soyeon Um, Sangjin Kim, Seongyon Hong, Sangyeob Kim, Hoi-Jun Yoo
2023	—	`conf`	MetaVRain: A 133mW Real-Time Hyper-Realistic 3D-NeRF Processor with 1D-2D Hybrid-Neural Engines for Metaverse on Mobile Devices. ISSCC Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2023	—	`conf`	NeRPIM: A 4.2 mJ/frame Neural Rendering Processing-in-memory Processor with Space Encoding Block-wise Mapping for Mobile Devices. VLSI Technology and Circuits Wooyoung Jo, Sangjin Kim, Juhyoung Lee, Donghyeon Han, Sangyeob Kim, Seungyoon Choi, Hoi-Jun Yoo
2023	J	`jnl`	Neuro-CIM: ADC-Less Neuromorphic Computing-in-Memory Processor With Operation Gating/Stopping and Digital-Analog Networks. IEEE J. Solid State Circuits Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Kwantae Kim, Hoi-Jun Yoo
2023	J	`jnl`	SNPU: An Energy-Efficient Spike Domain Deep-Neural-Network Processor With Two-Step Spike Encoding and Shift-and-Accumulation Unit. IEEE J. Solid State Circuits Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Juhyoung Lee, Hoi-Jun Yoo
2023	—	`conf`	Scaling-CIM: An eDRAM-based In-Memory-Computing Accelerator with Dynamic-Scaling ADC for SQNR-Boosting and Layer-wise Adaptive Bit-Truncation. VLSI Technology and Circuits Sangjin Kim, Soyeon Um, Wooyoung Jo, Jingu Lee, Sangwoo Ha, Zhiyong Li, Hoi-Jun Yoo
2023	A	`conf`	VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design. INTERSPEECH Jungil Kong, Jihoon Park, Beomjeong Kim, Jeongmin Kim, Dohee Kong, Sangjin Kim
2023	J	`jnl`	VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design. CoRR Jungil Kong, Jihoon Park, Beomjeong Kim, Jeongmin Kim, Dohee Kong, Sangjin Kim
2022	C	`conf`	A 161.6 TOPS/W Mixed-mode Computing-in-Memory Processor for Energy-Efficient Mixed-Precision Deep Neural Networks. ISCAS Wooyoung Jo, Sangjin Kim, Juhyeong Lee, Soyeon Um, Zhiyong Li, Hoi-Jun Yoo
2022	J	`jnl`	A 36.2 dB High SNR and PVT/Leakage-Robust eDRAM Computing-In-Memory Macro With Segmented BL and Reference Cell Array. IEEE Trans. Circuits Syst. II Express Briefs Sangwoo Ha, Sangjin Kim, Donghyeon Han, Soyeon Um, Hoi-Jun Yoo
2022	J	`jnl`	A Low-Power Graph Convolutional Network Processor With Sparse Grouping for 3D Point Cloud Semantic Segmentation in Mobile Devices. IEEE Trans. Circuits Syst. I Regul. Pap. Sangjin Kim, Sangyeob Kim, Juhyoung Lee, Hoi-Jun Yoo
2022	J	`jnl`	A Study on Cryptocurrency Log-Return Price Prediction Using Multivariate Time-Series Model. Axioms Sang-Ha Sung, Jong-Min Kim, Byung-Kwon Park, Sangjin Kim
2022	—	`conf`	An 0.92 mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache. CICC Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo
2022	—	`conf`	An Efficient High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache. HCS Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo
2022	J	`jnl`	ECIM: Exponent Computing in Memory for an Energy-Efficient Heterogeneous Floating-Point DNN Training Processor. IEEE Micro Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2022	J	`jnl`	Forecasting Crude Oil Prices with Major S&P 500 Stock Prices: Deep Learning, Gaussian Process, and Vine Copula. Axioms Jong-Min Kim, Hope H. Han, Sangjin Kim
2022	—	`conf`	Neuro-CIM: A 310.4 TOPS/W Neuromorphic Computing-in-Memory Processor with Low WL/BL activity and Digital-Analog Mixed-mode Neuron Firing. HCS Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Kwantae Kim, Hoi-Jun Yoo
2022	—	`conf`	Neuro-CIM: A 310.4 TOPS/W Neuromorphic Computing-in-Memory Processor with Low WL/BL activity and Digital-Analog Mixed-mode Neuron Firing. VLSI Technology and Circuits Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Kwantae Kim, Hoi-Jun Yoo
2022	J	`jnl`	OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer. IEEE J. Solid State Circuits Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Ji-Hoon Kim, Donghyeon Han, Hoi-Jun Yoo
2022	J	`jnl`	Two-Step Spike Encoding Scheme and Architecture for Highly Sparse Spiking-Neural-Network. CoRR Sangyeob Kim, Sangjin Kim, Soyeon Um, Soyeon Kim, Hoi-Jun Yoo
2021	—	`conf`	A 13.7 TFLOPS/W Floating-point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory. VLSI Circuits Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Jinsu Lee, Hoi-Jun Yoo
2021	J	`jnl`	A 43.1TOPS/W Energy-Efficient Absolute-Difference-Accumulation Operation Computing-In-Memory With Computation Reuse. IEEE Trans. Circuits Syst. II Express Briefs Soyeon Um, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2021	J	`jnl`	A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese Network. IEEE Trans. Circuits Syst. II Express Briefs Soyeon Kim, Sangjin Kim, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo
2021	J	`jnl`	An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization. IEEE J. Solid State Circuits Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Hoi-Jun Yoo
2021	—	`conf`	An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory. HCS Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021	J	`jnl`	An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations. IEEE J. Emerg. Sel. Topics Circuits Syst. Sanghoon Kang, Gwangtae Park, Sangjin Kim, Soyeon Kim, Donghyeon Han, Hoi-Jun Yoo
2021	—	`conf`	Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems. AICAS Juhyoung Lee, Changhyeon Kim, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2021	J	`jnl`	Frame Control-Based Terrestrial UHD (ATSC 3.0) Buffer Model for Dynamic Content Insertion. IEEE Access Seonghwan Park, Junsik Kim, Sangjin Kim, Doug Young Suh, Kyuheon Kim
2021	J	`jnl`	GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning. CoRR Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Hoi-Jun Yoo
2021	—	`conf`	OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer. VLSI Circuits Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021	—	`conf`	OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed Data. HCS Juhyoung Lee, Sangyeob Kim, Ji-Hoon Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Hoi-Jun Yoo
2021	—	`conf`	PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access. VLSI Circuits Sangjin Kim, Juhyoung Lee, Dongseok Im, Hoi-Jun Yoo
2021	—	`conf`	PNNPU: A Fast and Efficient 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access. HCS Sangjin Kim, Juhyoung Lee, Dongseok Im, Hoi-Jun Yoo
2021	J	`jnl`	The taut string approach to statistical inverse problems: Theory and applications. J. Comput. Appl. Math. Sangjin Kim, Michael Pokojovy, Xiang Wan
2020	C	`conf`	A 54.7 fps 3D Point Cloud Semantic Segmentation Processor with Sparse Grouping Based Dilated Graph Convolutional Network for Mobile Devices. ISCAS Sangjin Kim, Sangyeob Kim, Juhyoung Lee, Hoi-Jun Yoo
2020	—	`conf`	An Energy-Efficient GAN Accelerator with On-chip Training for Domain Specific Optimization. A-SSCC Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2017	J	`jnl`	A New Privacy Aware Payment Scheme for Wireless Charging of Electric Vehicles. Wirel. Pers. Commun. Zeinab Rezaeifar, Rasheed Hussain, Sangjin Kim, Heekuck Oh
2017	J	`jnl`	PB-MII: replacing static RSUs with public buses-based mobile intermediary infrastructure in urban VANET-based clouds. Clust. Comput. Rasheed Hussain, Zeinab Rezaeifar, Junggab Son, Md. Zakirul Alam Bhuiyan, Sangjin Kim, Heekuck Oh
2016	J	`jnl`	Prioritizing hypothesis tests for high throughput data. Bioinform. Sangjin Kim, Paul Schliekelman
2016	—	`conf`	Speaker Adaptation of Various Components in Deep Neural Network based Speech Synthesis. SSW Shinji Takaki, Sangjin Kim, Junichi Yamagishi
2016	—	`conf`	The NII speech synthesis entry for Blizzard Challenge 2016. Blizzard Challenge Lauri Juvela, Xin Wang, Shinji Takaki, Sangjin Kim, Manu Airaksinen, Junichi Yamagishi
2016	J	`jnl`	Traffic Information Dissemination System: Extending Cooperative Awareness Among Smart Vehicles with only Single-Hop Beacons in VANET. Wirel. Pers. Commun. Rasheed Hussain, Sangjin Kim, Heekuck Oh
2015	A	`conf`	Multiple feed-forward deep neural networks for statistical parametric speech synthesis. INTERSPEECH Shinji Takaki, Sangjin Kim, Junichi Yamagishi, JongJin Kim
2014	C	`conf`	Using public buses as mobile gateways in vehicular clouds. ICCE Rasheed Hussain, Fizza Abbas, Junggab Son, Sangjin Kim, Heekuck Oh
2013	J	`jnl`	Contrast Enhancement Using Dominant Brightness Level Analysis and Adaptive Intensity Transformation for Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Eunsung Lee, Sangjin Kim, Wonseok Kang, Doochun Seo, Joonki Paik
2013	C	`conf`	Spatially adaptive antialiasing for enhancement of mobile imaging systems using combined wavelet-fourier transforms. ICCE Eunjung Chae, Wonseok Kang, Eunsung Lee, Sangjin Kim, Joonki Paik
2013	C	`conf`	Traffic information system: A lightweight geocast-based piggybacking strategy for cooperative awareness in VANET. ICCE Rasheed Hussain, Junggab Son, Hasoo Eun, Sangjin Kim, Heekuck Oh
2013	—	`conf`	Vehicle Witnesses as a Service: Leveraging Vehicles as Witnesses on the Road in VANET Clouds. CloudCom (1) Rasheed Hussain, Fizza Abbas, Junggab Son, Donghyun Kim, Sangjin Kim, Heekuck Oh
2012	—	`conf`	AntiSybil: Standing against Sybil Attacks in Privacy-Preserved VANET. ICCVE Rasheed Hussain, Heekuck Oh, Sangjin Kim
2012	C	`conf`	Conditional privacy preserving security protocol for NFC applications. ICCE Hasoo Eun, Hoonjung Lee, Junggab Son, Sangjin Kim, Heekuck Oh
2012	C	`conf`	ID-based key management scheme using threshold decryption for OPMD environment. ICCE Hoonjung Lee, Junghoon Kim, Junggab Son, Sangjin Kim, Heekuck Oh
2012	C	`conf`	Key management scheme using secret sharing for multi-device based DRM. ICCE Junghoon Kim, Hoonjung Lee, Junggab Son, Wonwoo Rhim, Sangjin Kim, Heekuck Oh
2012	J	`jnl`	Multifocusing and Depth Estimation Using a Color Shift Model-Based Computational Camera. IEEE Trans. Image Process. Sangjin Kim, Eunsung Lee, Monson H. Hayes, Joon Ki Paik
2012	Misc	`conf`	Privacy-Aware VANET Security: Putting Data-Centric Misbehavior and Sybil Attack Detection Schemes into Practice. WISA Rasheed Hussain, Sangjin Kim, Heekuck Oh
2012	C	`conf`	Rethinking Vehicular Communications: Merging VANET with cloud computing. CloudCom Rasheed Hussain, Junggab Son, Hasoo Eun, Sangjin Kim, Heekuck Oh
2011	J	`jnl`	Vaguelette-wavelet decomposition for frequency adaptive image restoration using directional wavelet bases. IEEE Trans. Consumer Electron. Sangjin Kim, Wonseok Kang, Eunsung Lee, Joon Ki Paik
2010	—	`conf`	A Simple Privacy Preserving Route Tracing Mechanism for VANET. VTC Spring Sangjin Kim, Heekuck Oh
2010	J	`jnl`	Color shift model-based image enhancement for digital multifocusing based on a multiple color-filter aperture camera. IEEE Trans. Consumer Electron. Eunsung Lee, Wonseok Kang, Sangjin Kim, Joonki Paik
2010	J	`jnl`	Wavelet-domain color image enhancement using filtered directional bases and frequency-adaptive shrinkage. IEEE Trans. Consumer Electron. Sangjin Kim, Wonseok Kang, Eunsung Lee, Joonki Paik
2009	J	`jnl`	Analysis of Fuzzy Entropy and Similarity Measure for Non Convex Membership Functions. Int. J. Fuzzy Log. Intell. Syst. Sanghyuk Lee, Sangjin Kim
2009	B	`conf`	Computational filter-aperture approach for single-view multi-focusing. ICIP Vivek Maik, Dohee Cho, Sangjin Kim, Donghwan Har, Joon Ki Paik
2009	J	`jnl`	Real-time bayer-domain image restoration for an extended depth of field (EDoF) camera. IEEE Trans. Consumer Electron. Sangjin Kim, Sinyoung Jun, Eunsung Lee, Jeongho Shin, Joonki Paik
2009	—	`conf`	Ringing Artifact Removal in Digital Restored Images Using Multi-Resolution Edge Map. FGIT-SIP Sangjin Kim, Sinyoung Jun, Eunsung Lee, Jeongho Shin, Joonki Paik
2009	Misc	`conf`	Towards Privacy Aware Pseudonymless Strategy for Avoiding Profile Generation in VANET. WISA Rasheed Hussain, Sangjin Kim, Heekuck Oh
2008	C	`conf`	A New Hash-Based RFID Mutual Authentication Protocol Providing Enhanced User Privacy Protection. ISPEC Jihwan Lim, Heekuck Oh, Sangjin Kim
2008	—	`conf`	Comparative Study with Fuzzy Entropy and Similarity Measure: One-to-One Correspondence. ICIC (3) Sanghyuk Lee, Sangjin Kim, DongYoup Lee
2008	—	`conf`	Design of Fuzzy Entropy for Non Convex Membership Function. ICIC (3) Sanghyuk Lee, Sangjin Kim, Nam-Young Jang
2008	J	`jnl`	Efficient RFID Search Protocols Using Counters. IEICE Trans. Commun. Sangjin Kim, Jihwan Lim, Jaehong Han, Heekuck Oh
2007	Misc	`conf`	A Practical Way to Provide Perfect Forward Secrecy for Secure E-Mail Protocols. ICDCIT Sangjin Kim, Changyong Lee, Daeyoung Kim, Heekuck Oh
2007	—	`conf`	A Privacy Protecting UMTS AKA Protocol Providing Perfect Forward Secrecy. ICCSA (2) Daeyoung Kim, Younggang Cui, Sangjin Kim, Heekuck Oh
2007	B	`conf`	A Secure Location Service for Ad Hoc Position-Based Routing Using Self-signed Locations. CANS Jihwan Lim, Sangjin Kim, Heekuck Oh
2007	J	`jnl`	Field Trials for Terrestrial Digital Multimedia Broadcasting System. IEEE Trans. Broadcast. Youngjin Lee, Sangwoon Lee, Yong Han Kim, Soo In Lee, Zungkon Yim, ByungHo Choi, Sangjin Kim, Jong-Soo Seo
2006	—	`conf`	An Efficient Hierarchical Group Key Management Protocol for a Ubiquitous Computing Environment. ICCSA (4) Sangjin Kim, Taewook Ahn, Heekuck Oh
2006	Misc	`conf`	Ticket-Based Binding Update Protocol for Mobile IPv6. ICDCIT Sangjin Kim, Jung Doo Koo, Heekuck Oh
2005	Misc	`conf`	A Space-Efficient Algorithm for Pre-distributing Pairwise Keys in Sensor Networks. International Conference on Computational Science (3) Taekyun Kim, Sangjin Kim, Heekuck Oh
2005	C	`conf`	Enhanced ID-Based Authenticated Key Agreement Protocols for a Multiple Independent PKG Environment. ICICS Sangjin Kim, Hoonjung Lee, Heekuck Oh
2005	—	`conf`	Feature Fusion-Based Multiple People Tracking. PCM (1) Junhaeng Lee, Sangjin Kim, Daehee Kim, Jeongho Shin, Joon Ki Paik
2005	—	`conf`	Identity-Based Key Agreement Protocols in a Multiple PKG Environment. ICCSA (4) Hoonjung Lee, Donghyun Kim, Sangjin Kim, Heekuck Oh
2005	J	`jnl`	Optical flow-based real-time object tracking using non-prior training active feature model. Real Time Imaging Jeongho Shin, Sangjin Kim, SangKyu Kang, Seongwon Lee, Joon Ki Paik, Besma R. Abidi, Mongi A. Abidi
2005	C	`conf`	Pose-Invariant Face Detection Using Edge-Like Blob Map and Fuzzy Logic. IEA/AIE Young-Ouk Kim, Sung-Ho Jang, Sangjin Kim, Chang-Woo Park, Joon Ki Paik
2004	—	`conf`	A New Universally Verifiable and Receipt-Free Electronic Voting Scheme Using One-Way Untappable Channels. AWCC Sangjin Kim, Heekuck Oh
2004	—	`conf`	Dynamic region-of-interest acquisition and face tracking for intelligent surveillance system. Computational Imaging Young-Ouk Kim, Sangjin Kim, Chang-Woo Park, Ha-Gyeong Sung, Joonki Paik
2004	Misc	`conf`	Fair Offline Payment Using Verifiable Encryption. WISA Sangjin Kim, Heekuck Oh
2004	—	`conf`	Performance analysis of color spaces for optimally fitting the active shape model. Computational Imaging Sangjin Kim, Jinyoung Kang, Jeongho Shin, Joonki Paik
2004	—	`conf`	Using a Non-prior Training Active Feature Model. PCM (3) Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon Lee, Joon Ki Paik, SangKyu Kang, Besma R. Abidi, Mongi A. Abidi
2002	J	`jnl`	A new electronic check system with reusable refunds. Int. J. Inf. Sec. Sangjin Kim, Heekuck Oh