Jaehyeong Sim - RankMe

33 papers A* 3A 6C 1Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLIP-RD: Relational Distillation for Efficient CLIP Knowledge Distillation. CoRR Jeannie Chung, Hanna Jang, Ingyeong Yang, Uiwon Hwang, Jaehyeong Sim
2026	J	`jnl`	QubitCache: Quantum-Inspired Probabilistic Attention Preservation for KV-Cache Compression. IEEE Access Jieui Kang, Jaeyoung Choi, Wonhui Noh, Jaehyeong Sim
2025	—	`conf`	Enhancing Gender Prediction Model Performance through Automatic Individual Entity Extraction and Class Balance. BigComp Chaeyun Kim, Eunseo Kim, Yeonhee Kim, Jaehyeong Sim, Jongkil Kim
2025	J	`jnl`	PRISM-Med: Parameter-Efficient Robust Interdomain Specialty Model for Medical Language Tasks. IEEE Access Jieui Kang, Hyungon Ryu, Jaehyeong Sim
2025	—	`conf`	ViT-Slim: A Genetic Algorithm-based NAS Framework for Efficient Vision Transformer Design. CAI Eunjoung Yoo, Jaehyeong Sim
2024	—	`conf`	AlphaAccelerator: An Automatic Neural FPGA Accelerator Design Framework Based on GNNs. ISOCC Jiho Lee, Jieui Kang, EunJin Lee, Yejin Lee, Jaehyeong Sim
2024	—	`conf`	An Energy-Efficient Hardware Accelerator for On-Device Inference of YOLOX. ISOCC Kyungmi Kim, Soeun Choi, Eunkyeol Hong, Yoonseo Jang, Jaehyeong Sim
2024	—	`conf`	AutoCaps-Zero: Searching for Hardware-Efficient Squash Function in Capsule Networks. CCCI Jieui Kang, Sooyoung Kwon, Hyojin Kim, Jaehyeong Sim
2024	—	`conf`	BS2: Bit-Serial Architecture Exploiting Weight Bit Sparsity for Efficient Deep Learning Acceleration. ISOCC Eunseo Kim, Subean Lee, Chaeyun Kim, HaYoung Lim, Jimin Nam, Jaehyeong Sim
2024	—	`conf`	OCW: Enhancing Few-Shot Learning with Optimized Class-Weighting Methods. CCCI Jieui Kang, Subean Lee, Eunseo Kim, Soeun Choi, Jaehyeong Sim
2024	J	`jnl`	Q-LAtte: An Efficient and Versatile LSTM Model for Quantized Attention-Based Time Series Forecasting in Building Energy Applications. IEEE Access Jieui Kang, Jihye Park, Soeun Choi, Jaehyeong Sim
2024	J	`jnl`	SpDRAM: Efficient In-DRAM Acceleration of Sparse Matrix-Vector Multiplication. IEEE Access Jieui Kang, Soeun Choi, EunJin Lee, Jaehyeong Sim
2023	—	`conf`	Optimization of the Modified Gaussian Filter for Mobile GPU Usage in Game Workloads. CCCI Jieui Kang, Jaehyeong Sim, Hyokyung Bahn
2023	—	`conf`	TD-NAAS: Template-Based Differentiable Neural Architecture Accelerator Search. ISOCC HaYoung Lim, Yeseo Jang, Juyeon Kim, Jaehyeong Sim
2022	J	`jnl`	S-FLASH: A NAND Flash-Based Deep Neural Network Accelerator Exploiting Bit-Level Sparsity. IEEE Trans. Computers Myeonggu Kang, Hyeonuk Kim, Hyein Shin, Jaehyeong Sim, Kyeonghan Kim, Lee-Sup Kim
2020	J	`jnl`	An Energy-Efficient Deep Convolutional Neural Network Inference Processor With Enhanced Output Stationary Dataflow in 65-nm CMOS. IEEE Trans. Very Large Scale Integr. Syst. Jaehyeong Sim, Somin Lee, Lee-Sup Kim
2020	J	`jnl`	An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices. IEEE J. Solid State Circuits Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2020	J	`jnl`	CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator. IEEE Trans. Circuits Syst. Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim
2019	—	`conf`	A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices. A-SSCC Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019	A	`conf`	A PVT-robust Customized 4T Embedded DRAM Cell Array for Accelerating Binary Neural Networks. ICCAD Hyein Shin, Jaehyeong Sim, Daewoong Lee, Lee-Sup Kim
2019	A	`conf`	An Energy-efficient Processing-in-memory Architecture for Long Short Term Memory in Spin Orbit Torque MRAM. ICCAD Kyeonghan Kim, Hyein Shin, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
2019	A*	`conf`	NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks. HPCA Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
2019	A	`conf`	eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators. ICCAD Youngbeom Jung, Yeongjae Choi, Jaehyeong Sim, Lee-Sup Kim
2018	A	`conf`	NID: processing binary convolutional neural network in commodity DRAM. ICCAD Jaehyeong Sim, Hoseok Seol, Lee-Sup Kim
2018	A	`conf`	TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training. ISLPED Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
2017	A*	`conf`	A Kernel Decomposition Architecture for Binary-weight Convolutional Neural Networks. DAC Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim
2017	J	`jnl`	Energy-Efficient Design of Processing Element for Convolutional Neural Network. IEEE Trans. Circuits Syst. II Express Briefs Yeongjae Choi, Dongmyung Bae, Jaehyeong Sim, Seungkyu Choi, Minhye Kim, Lee-Sup Kim
2017	A	`conf`	SENIN: An energy-efficient sparse neuromorphic system with on-chip learning. ISLPED Myung-Hoon Choi, Seungkyu Choi, Jaehyeong Sim, Lee-Sup Kim
2016	—	`conf`	14.6 A 1.42TOPS/W deep convolutional neural network recognition processor for intelligent IoE systems. ISSCC Jaehyeong Sim, Jun-Seok Park, Minhye Kim, Dongmyung Bae, Yeongjae Choi, Lee-Sup Kim
2016	J	`jnl`	A 5-Gb/s 2.67-mW/Gb/s Digital Clock and Data Recovery With Hybrid Dithering Using a Time-Dithered Delta-Sigma Modulator. IEEE Trans. Very Large Scale Integr. Syst. Taeho Lee, Yong-Hun Kim, Jaehyeong Sim, Jun-Seok Park, Lee-Sup Kim
2014	C	`conf`	Timing error masking by exploiting operand value locality in SIMD architecture. ICCD Jaehyeong Sim, Jun-Seok Park, Seungwook Paek, Lee-Sup Kim
2013	J	`jnl`	PowerField: A Probabilistic Approach for Temperature-to-Power Conversion Based on Markov Random Field Theory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Seungwook Paek, Wongyu Shin, Jaehyeong Sim, Lee-Sup Kim
2012	A*	`conf`	PowerField: a transient temperature-to-power technique based on Markov random field theory. DAC Seungwook Paek, Seok-Hwan Moon, Wongyu Shin, Jaehyeong Sim, Lee-Sup Kim