Yulhwa Kim - RankMe

37 papers A* 6A 7Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnalogToBi: Device-Level Analog Circuit Topology Generation via Bipartite Graph and Grammar Guided Decoding. CoRR Seungmin Kim, Mingun Kim, Yuna Lee, Yulhwa Kim
2026	J	`jnl`	QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs. CoRR Kanghyun Noh, Jinheon Choi, Yulhwa Kim
2026	J	`jnl`	RUnQuant: High-resolution weight quantization via unanchored weight decomposition in column-wise granularity for CIM accelerators. J. Syst. Archit. Jiyoon Kim, Kang Eun Jeon, Yulhwa Kim, Jong Hwan Ko
2025	A	`conf`	Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators. DATE Jiyoon Kim, Kang Eun Jeon, Yulhwa Kim, Jong Hwan Ko
2025	J	`jnl`	Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators. CoRR Jiyoon Kim, Kang Eun Jeon, Yulhwa Kim, Jong Hwan Ko
2025	A	`conf`	Compute-in-Memory Array Design Using Stacked Hybrid IGZO/Si eDRAM cells. DATE Munhyeon Kim, Yulhwa Kim, Jae-Joon Kim
2025	J	`jnl`	FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective Propagation. CoRR Dongwon Jo, Jiwon Song, Yulhwa Kim, Jae-Joon Kim
2025	—	`conf`	L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models. ACL (1) Hyesung Jeon, Yulhwa Kim, Jae-Joon Kim
2025	J	`jnl`	Leveraging KV Similarity for Online Structured Pruning in LLMs. CoRR Jungmin Lee, Gwangeun Byeon, Yulhwa Kim, Seokin Hong
2025	J	`jnl`	QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models. CoRR Hyesung Jeon, Seojune Lee, Beomseok Kang, Yulhwa Kim, Jae-Joon Kim
2025	J	`jnl`	Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning. CoRR Jiwon Song, Dongwon Jo, Yulhwa Kim, Jae-Joon Kim
2024	A*	`conf`	FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy. HPCA Jaeyong Jang, Yulhwa Kim, Juheun Lee, Jae-Joon Kim
2024	J	`jnl`	L4Q: Parameter Efficient Quantization-Aware Training on Large Language Models via LoRA-wise LSQ. CoRR Hyesung Jeon, Yulhwa Kim, Jae-Joon Kim
2024	A*	`conf`	Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models. NeurIPS Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
2024	J	`jnl`	Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models. CoRR Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
2024	A*	`conf`	SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. ICML Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2024	J	`jnl`	SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks. CoRR Jiwon Song, Kyungseok Oh, Taesu Kim, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2023	A*	`conf`	Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis. NeurIPS Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim
2023	J	`jnl`	Squeezing Large-Scale Diffusion Models for Mobile. CoRR Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun 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	J	`jnl`	BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. IEEE J. Solid State Circuits Sungju Ryu, Hyungjun Kim, Wooseok Yi, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
2022	J	`jnl`	Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators. ACM J. Emerg. Technol. Comput. Syst. Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim
2021	—	`conf`	Energy-efficient charge sharing-based 8T2C SRAM in-memory accelerator for binary neural networks in 28nm CMOS. A-SSCC Hyunmyung Oh, Hyungjun Kim, Daehyun Ahn, Jihoon Park, Yulhwa Kim, Inhwan Lee, Jae-Joon Kim
2021	A	`conf`	Mapping Binary ResNets on Computing-In-Memory Hardware with Low-bit ADCs. DATE Yulhwa Kim, Hyungjun Kim, Jihoon Park, Hyunmyung Oh, Jae-Joon Kim
2021	J	`jnl`	Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators. IEEE Access Daehyun Ahn, Hyunmyung Oh, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2021	—	`conf`	Single RRAM Cell-based In-Memory Accelerator Architecture for Binary Neural Networks. AICAS Hyunmyung Oh, Hyungjun Kim, Nameun Kang, Yulhwa Kim, Jihoon Park, Jae-Joon Kim
2020	—	`conf`	A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. CICC Sungju Ryu, Hyungjun Kim, Wooseok Yi, Jongeun Koo, Eunhwan Kim, Yulhwa Kim, Taesu Kim, Jae-Joon Kim
2020	A*	`conf`	Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead. DAC Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
2020	A	`conf`	Time-step interleaved weight reuse for LSTM neural network computing. ISLPED Naebeom Park, Yulhwa Kim, Daehyun Ahn, Taesu Kim, Jae-Joon Kim
2019	—	`conf`	Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array. VLSI Circuits Jinseok Kim, Jongeun Koo, Taesu Kim, Yulhwa Kim, Hyungjun Kim, Seunghyun Yoo, Jae-Joon Kim
2019	J	`jnl`	BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function. CoRR Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim
2019	A	`conf`	Effect of Device Variation on Mapping Binary Neural Network to Memristor Crossbar Array. DATE Wooseok Yi, Yulhwa Kim, Jae-Joon Kim
2019	—	`conf`	In-memory batch-normalization for resistive memory based binary neural network hardware. ASP-DAC Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2019	J	`jnl`	Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning. IEEE Micro Shihui Yin, Jae-sun Seo, Yulhwa Kim, Xu Han, Hugh J. Barnaby, Shimeng Yu, Yandong Luo, Wangxin He, Xiaoyu Sun, Jae-Joon Kim
2018	A	`conf`	Compact Convolution Mapping on Neuromorphic Hardware using Axonal Delay. ISLPED Jinseok Kim, Yulhwa Kim, Sungho Kim, Jae-Joon Kim
2018	A	`conf`	Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array. ISLPED Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim
2018	J	`jnl`	Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators. CoRR Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim