Jaeha Kung - RankMe

71 papers A* 9A 12B 2C 4Journal 31Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Binary and Ternary Neural Networks and Their Realization in Compute-in-Memory for Edge Intelligence. IEEE Internet Things J. Dahoon Park, Hyungdong Park, Inguk Yeo, Jiyun Kim, Sunghyun Lee, Suhak Lee, Hyunseob Shin, Sung-Il Pae, Deliang Fan, Jaeha Kung, Kon-Woo Kwon
2026	A*	`conf`	GustavSNN: Unleashing the Power of Gustavson's Algorithm on SNN Acceleration with Column-Parallel Tick-Batch Dataflow. HPCA Sangwoo Hwang, Donghun Lee, Jahyun Koo, Jaeha Kung
2025	J	`jnl`	All-Rounder: A Flexible AI Accelerator With Diverse Data Format Support and Morphable Structure for Multi-DNN Processing. IEEE Trans. Very Large Scale Integr. Syst. Seock-Hwan Noh, Seungpyo Lee, Banseok Shin, Sehun Park, Yongjoo Jang, Jaeha Kung
2025	A	`conf`	CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution. ISLPED Sangwoo Jung, Hojin Lee, Yejin Lee, Jiyong Park, Dahoon Park, Hyunseob Shin, Jong-Hyeok Yoon, Jaeha Kung
2025	C	`conf`	Dissecting and Re-Architecting 3D NAND Flash PIM Arrays for Efficient Single-Batch Token Generation in LLMS. ICCD Yongjoo Jang, Sangwoo Hwang, Hojin Lee, Sangwoo Jung, Donghun Lee, Wonbo Shim, Jaeha Kung
2025	J	`jnl`	Dissecting and Re-architecting 3D NAND Flash PIM Arrays for Efficient Single-Batch Token Generation in LLMs. CoRR Yongjoo Jang, Sangwoo Hwang, Hojin Lee, Sangwoo Jung, Donghun Lee, Wonbo Shim, Jaeha Kung
2025	J	`jnl`	FlashVault: Versatile In-NAND Self-Encryption with Zero Area Overhead. CoRR Seock-Hwan Noh, Hoyeon Lee, Junkyum Kim, Junsu Im, Jay H. Park, Sungjin Lee, Sam H. Noh, Yeseong Kim, Jaeha Kung
2025	A	`conf`	FlexENM: A Flexible Encrypting-Near-Memory with Refresh-Less eDRAM-Based Multi-Mode AES. DATE Hyunseob Shin, Jaeha Kung
2025	A*	`conf`	FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering. ISCA Seock-Hwan Noh, Banseok Shin, Jeik Choi, Seungpyo Lee, Jaeha Kung, Yeseong Kim
2025	J	`jnl`	FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering. CoRR Seock-Hwan Noh, Banseok Shin, Jeik Choi, Seungpyo Lee, Jaeha Kung, Yeseong Kim
2025	A	`conf`	Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats. ISLPED Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim
2025	J	`jnl`	Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats. CoRR Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim
2025	J	`jnl`	One-Spike SNN: Single-Spike Phase Coding With Base Manipulation for ANN-to-SNN Conversion Loss Minimization. IEEE Trans. Emerg. Top. Comput. Sangwoo Hwang, Jaeha Kung
2025	A	`conf`	RIMIX: RISC-V Core with MIXed-Precision SIMD Instruction Extensions Supported by Oracle-Assisted Sub-Network Search for Efficient TinyML. ISLPED Jiyong Park, Dahoon Park, Yeeun Hong, Jaeha Kung
2025	—	`conf`	RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting. ASP-DAC Gunil Kang, Dahoon Park, Hojin Lee, Sangwoo Jung, Jiyong Park, Jung Gyu Min, Youngjoo Lee, Jaeha Kung
2024	—	`conf`	A 3.3-to-11V-Supply-Range 10μW/Ch Arbitrary-Waveform-Capable Neural Stimulator with Output-Adaptive-Self-Bias and Supply-Tracking Schemes in 0.18μm Standard CMOS. CICC Jeongyoon Wie, Sangwoo Jung, Taeryoung Seol, Geunha Kim, Sehwan Lee, Homin Jang, Samhwan Kim, YeonJae Shin, Jae Eun Jang, Jaeha Kung, Arup K. George, Junghyup Lee
2024	—	`conf`	A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications. A-SSCC Dong-gu Choi, Jaehyun Lee, Jahyun Koo, Woo Kyoung Han, Dahoon Park, Jaeha Kung, Junghyup Lee, Jong-Hyeok Yoon
2024	J	`jnl`	A Dual-Precision and Low-Power CNN Inference Engine Using a Heterogeneous Processing-in-Memory Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. Sangwoo Jung, Jaehyun Lee, Dahoon Park, Youngjoo Lee, Jong-Hyeok Yoon, Jaeha Kung
2024	—	`conf`	A Full SW-HW Demonstration of GEMM Accelerators with RISC-V Instruction Extensions. ICEIC Seonghun Jeong, Jooyeon Lee, Jaeha Kung
2024	C	`conf`	A Ready-to-Use RTL Generator for Systolic Tensor Arrays and Analysis Using Open-Source EDA Tools. ISCAS Jooyeon Lee, Donghun Lee, Jaeha Kung
2024	—	`conf`	A Refresh-Free Near-eDRAM AES Accelerator for Secure Underwater Communications. ICTC Hyunseob Shin, Yejin Lee, Jaeha Kung
2024	—	`conf`	NDPipe: Exploiting Near-data Processing for Scalable Inference and Continuous Training in Photo Storage. ASPLOS (3) Jungwoo Kim, Seonggyun Oh, Jaeha Kung, Yeseong Kim, Sungjin Lee
2024	A*	`conf`	OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. DAC Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung
2024	J	`jnl`	OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. CoRR Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung
2024	J	`jnl`	One-Spike SNN: Single-Spike Phase Coding with Base Manipulation for ANN-to-SNN Conversion Loss Minimization. CoRR Sangwoo Hwang, Jaeha Kung
2024	J	`jnl`	Skipformer: Evolving Beyond Blocks for Extensively Searching On-Device Language Models With Learnable Attention Window. IEEE Access Matthew Bodenham, Jaeha Kung
2024	A*	`conf`	SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation. NeurIPS Sangwoo Hwang, Seunghyun Lee, Dahoon Park, Donghun Lee, Jaeha Kung
2023	—	`conf`	A 1V 136.6dB-DR 4kHz-BW $\Delta\Sigma$ Current-to-Digital Converter with a Truncation-Noise-Shaped Baseline-Servo-Loop in 0.18\mu\mathrm{m}$ CMOS. ISSCC Taeryoung Seol, Sehwan Lee, Geunha Kim, Samhwan Kim, Euiseong Kim, Seungyeob Baik, Jaeha Kung, Ji-Woong Choi, Arup K. George, Junghyup Lee
2023	J	`jnl`	All-rounder: A flexible DNN accelerator with diverse data format support. CoRR Seock-Hwan Noh, Seungpyo Lee, Banseok Shin, Sehun Park, Yongjoo Jang, Jaeha Kung
2023	A*	`conf`	DBPS: Dynamic Block Size and Precision Scaling for Efficient DNN Training Supported by RISC-V ISA Extensions. DAC Seunghyun Lee, Jeik Choi, Seock-Hwan Noh, Jahyun Koo, Jaeha Kung
2023	J	`jnl`	FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support. IEEE Trans. Computers Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park, Jaeha Kung
2023	—	`conf`	Improving Hardware Efficiency of a Sparse Training Accelerator by Restructuring a Reduction Network. NEWCAS Banseok Shin, Sehun Park, Jaeha Kung
2023	J	`jnl`	Simplified Compressor and Encoder Designs for Low-Cost Approximate Radix-4 Booth Multiplier. IEEE Trans. Circuits Syst. II Express Briefs Gunho Park, Jaeha Kung, Youngjoo Lee
2022	J	`jnl`	A 46-nF/10-MΩ Range 114-aF/0.37-Ω Resolution Parasitic- and Temperature-Insensitive Reconfigurable RC-to-Digital Converter in 0.18-μm CMOS. IEEE Trans. Circuits Syst. I Regul. Pap. Arup K. George, Wooyoon Shim, Jaeha Kung, Ji-Hoon Kim, Minkyu Je, Junghyup Lee
2022	J	`jnl`	AutoRelax: HW-SW Co-Optimization for Efficient SpGEMM Operations With Automated Relaxation in Deep Learning. IEEE Trans. Emerg. Top. Comput. Sehun Park, Jae-Joon Kim, Jaeha Kung
2022	—	`conf`	DualPIM: A Dual-Precision and Low-Power CNN Inference Engine Using SRAM- and eDRAM-based Processing-in-Memory Arrays. AICAS Sangwoo Jung, Jaehyun Lee, Huiseong Noh, Jong-Hyeok Yoon, Jaeha Kung
2022	J	`jnl`	FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support. CoRR Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park, Jaeha Kung
2022	J	`jnl`	Implication of Optimizing NPU Dataflows on Neural Architecture Search for Mobile Devices. ACM Trans. Design Autom. Electr. Syst. Jooyeon Lee, Junsang Park, Seunghyun Lee, Jaeha Kung
2022	C	`conf`	LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. ICCD Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahyun Koo, Jeik Choi, Jaeha Kung
2022	J	`jnl`	LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. CoRR Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahyun Koo, Jeik Choi, Jaeha Kung
2022	J	`jnl`	SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs. IEEE Comput. Archit. Lett. Sejin Kim, Jungwoo Kim, Yongjoo Jang, Jaeha Kung, Sungjin Lee
2021	C	`conf`	Adaptive Input-to-Neuron Interlink Development in Training of Spike-Based Liquid State Machines. ISCAS Sangwoo Hwang, Junghyup Lee, Jaeha Kung
2021	J	`jnl`	Deep Partitioned Training From Near-Storage Computing to DNN Accelerators. IEEE Comput. Archit. Lett. Yongjoo Jang, Sejin Kim, Daehoon Kim, Sungjin Lee, Jaeha Kung
2021	J	`jnl`	Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator. IEEE Trans. Circuits Syst. I Regul. Pap. Gunho Park, Jaeha Kung, Youngjoo Lee
2021	J	`jnl`	High-throughput Near-Memory Processing on CNNs with 3D HBM-like Memory. ACM Trans. Design Autom. Electr. Syst. Naebeom Park, Sungju Ryu, Jaeha Kung, Jae-Joon Kim
2021	A	`conf`	ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. BMVC Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung
2021	J	`jnl`	ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. CoRR Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung
2020	J	`jnl`	Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Junki Park, Wooseok Yi, Daehyun Ahn, Jaeha Kung, Jae-Joon Kim
2020	J	`jnl`	Defending Against Flush+Reload Attack With DRAM Cache by Bypassing Shared SRAM Cache. IEEE Access Minwoo Jang, Seungkyu Lee, Jaeha Kung, Daehoon Kim
2020	J	`jnl`	Towards Scalable Analytics with Inference-Enabled Solid-State Drives. IEEE Comput. Archit. Lett. Minsub Kim, Jaeha Kung, Sungjin Lee
2019	—	`conf`	Noise Tolerance of an Energy-Scalable Deep Learning Model with Two Extreme Bit-Precisions. ISOCC Sangwoo Jung, Jaeha Kung
2019	A*	`conf`	Peregrine: A Flexible Hardware Accelerator for LSTM with Limited Synaptic Connection Patterns. DAC Jaeha Kung, Junki Park, Sehun Park, Jae-Joon Kim
2019	A	`conf`	Similarity-Based LSTM Architecture for Energy-Efficient Edge-Level Speech Recognition. ISLPED Junseo Jo, Jaeha Kung, Sunggu Lee, Youngjoo Lee
2019	A	`conf`	WMixNet: An Energy-Scalable and Computationally Lightweight Deep Learning Accelerator. ISLPED Sangwoo Jung, Seungsik Moon, Youngjoo Lee, Jaeha Kung
2018	J	`jnl`	Adaptive Precision Cellular Nonlinear Network. IEEE Trans. Very Large Scale Integr. Syst. Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2018	J	`jnl`	Efficient Object Detection Using Embedded Binarized Neural Networks. J. Signal Process. Syst. Jaeha Kung, David C. Zhang, Gooitzen S. van der Wal, Sek M. Chai, Saibal Mukhopadhyay
2018	A	`conf`	Maximizing system performance by balancing computation loads in LSTM accelerators. DATE Junki Park, Jaeha Kung, Wooseok Yi, Jae-Joon Kim
2018	A	`conf`	The CAMEL approach to stacked sensor smart cameras. DATE Saibal Mukhopadhyay, Marilyn Wolf, Mohammed Faisal Amir, Evan Gebhardt, Jong Hwan Ko, Jaeha Kung, Burhan Ahmad Musassar
2017	J	`jnl`	A Power-Aware Digital Multilayer Perceptron Accelerator with On-Chip Training Based on Approximate Computing. IEEE Trans. Emerg. Top. Comput. Duckhwan Kim, Jaeha Kung, Saibal Mukhopadhyay
2017	A*	`conf`	A Programmable Hardware Accelerator for Simulating Dynamical Systems. ISCA Jaeha Kung, Yun Long, Duckhwan Kim, Saibal Mukhopadhyay
2017	A	`conf`	Adaptive weight compression for memory-efficient neural networks. DATE Jong Hwan Ko, Duckhwan Kim, Taesik Na, Jaeha Kung, Saibal Mukhopadhyay
2017	—	`—`	Energy-efficient digital hardware platform for learning complex systems. Jaeha Kung
2017	—	`conf`	Energy-efficient neural image processing for Internet-of-Things edge devices. MWSCAS Jong Hwan Ko, Yun Long, Mohammad Faisal Amir, Duckhwan Kim, Jaeha Kung, Taesik Na, Amit Ranjan Trivedi, Saibal Mukhopadhyay
2017	B	`conf`	On-chip training of recurrent neural networks with limited numerical precision. IJCNN Taesik Na, Jong Hwan Ko, Jaeha Kung, Saibal Mukhopadhyay
2016	A	`conf`	Dynamic Approximation with Feedback Control for Energy-Efficient Recurrent Neural Network Hardware. ISLPED Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2016	A*	`conf`	Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory. ISCA Duckhwan Kim, Jaeha Kung, Sek M. Chai, Sudhakar Yalamanchili, Saibal Mukhopadhyay
2016	B	`conf`	ReRAM Crossbar based Recurrent Neural Network for human activity detection. IJCNN Yun Long, Eui Min Jung, Jaeha Kung, Saibal Mukhopadhyay
2015	A	`conf`	A power-aware digital feedforward neural network platform with backpropagation driven approximate synapses. ISLPED Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2015	J	`jnl`	On the Impact of Energy-Accuracy Tradeoff in a Digital Cellular Neural Network for Image Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jaeha Kung, Duckhwan Kim, Saibal Mukhopadhyay
2011	—	`conf`	Compact thermal models: Assessment and pitfalls. ISOCC Jaeha Kung, Youngsoo Shin
2011	A*	`conf`	Thermal signature: a simple yet accurate thermal index for floorplan optimization. DAC Jaeha Kung, Inhak Han, Sachin S. Sapatnekar, Youngsoo Shin