Jongeun Lee - RankMe

104 papers A* 9A 19B 5C 3Misc 3Journal 38Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference. ASP-DAC Jaewoo Park, Chenghao Quan, Jongeun Lee
2026	—	`conf`	FlowQ: Fixed-point Low-precision Post-Training Quantization Framework for Efficient and Accurate SNN Inference. ASP-DAC Faaiz Asim, Sanhtet Aung, Jongeun Lee
2025	J	`jnl`	EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference. CoRR Jaewoo Park, Chenghao Quan, Jongeun Lee
2025	J	`jnl`	Mitigating the Impact of ReRAM I-V Nonlinearity and IR Drop via Fast Offline Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sugil Lee, Mohammed E. Fouda, Chenghao Quan, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2025	J	`jnl`	SAIL: SRAM-Accelerated LLM Inference System with Lookup-Table-based GEMV. CoRR Jingyao Zhang, Jaewoo Park, Jongeun Lee, Elaheh Sadredini
2025	A	`conf`	SPIMA: Scalable and Cost-Efficient Sparse Matrix Multiplication via Processing in DRAM Array. ICCAD Tairali Assylbekov, Minsang Yu, Jaewoo Park, Mingon Kim, Seungsu Kim, Jongeun Lee
2024	J	`jnl`	Development of the sub-10 cm, sub-100 g jumping-crawling robot. Intell. Serv. Robotics Sojung Yim, Sang-Min Baek, Pilwoo Lee, Soo-Hwan Chae, Jongeun Lee, Seok-Haeng Huh, Gwang-Pil Jung, Kyu-Jin Cho
2024	B	`conf`	Extending Neural Processing Unit and Compiler for Advanced Binarized Neural Networks. ASPDAC Minjoon Song, Faaiz Asim, Jongeun Lee
2024	A	`conf`	FlexInt: A New Number Format for Robust Sub-8-Bit Neural Network Inference. ICCAD Minuk Hong, Hyeonuk Sim, Sugil Lee, Jongeun Lee
2024	J	`jnl`	Perching and Grasping Using a Passive Dynamic Bioinspired Gripper. IEEE Trans. Robotics Amir Firouzeh, Jongeun Lee, Hyunsoo Yang, Dongjun Lee, Kyu-Jin Cho
2024	—	`conf`	PyAIM: Pynq-Based Scalable Analog In-Memory Computing Prototyping Platform. AICAS Minsang Yu, Minuk Hong, Sugil Lee, Seungsu Kim, Jongeun Lee
2023	—	`conf`	Accelerating Transformers with Fourier-Based Attention for Efficient On-Device Inference. ISOCC Hyeonjin Jo, Chaerin Sim, Jaewoo Park, Jongeun Lee
2023	A	`conf`	Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service. ICCAD Jaewoo Park, Chenghao Quan, Hyungon Moon, Jongeun Lee
2023	J	`jnl`	Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service. CoRR Jaewoo Park, Chenghao Quan, Hyungon Moon, Jongeun Lee
2023	J	`jnl`	Kernel Code Integrity Protection at the Physical Address Level on RISC-V. IEEE Access Seon Ha, Minsang Yu, Hyungon Moon, Jongeun Lee
2023	A*	`conf`	NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM. DAC Jaewoo Park, Sugil Lee, Jongeun Lee
2023	J	`jnl`	NTT-PIM: Row-Centric Architecture and Mapping for Efficient Number-Theoretic Transform on PIM. CoRR Jaewoo Park, Sugil Lee, Jongeun Lee
2023	J	`jnl`	Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sugil Lee, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2023	J	`jnl`	Partial Sum Quantization for Reducing ADC Size in ReRAM-Based Neural Network Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Azat Azamat, Faaiz Asim, Jintae Kim, Jongeun Lee
2023	J	`jnl`	Training-Free Stuck-At Fault Mitigation for ReRAM-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chenghao Quan, Mohammed E. Fouda, Sugil Lee, Giju Jung, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2022	C	`conf`	Accurate Prediction of ReRAM Crossbar Performance Under I-V Nonlinearity and IR Drop. ICCD Sugil Lee, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2022	A	`conf`	An Empirical Study on How People Perceive AI-generated Music. CIKM Hyeshin Chu, Joohee Kim, Seongouk Kim, Hongkyu Lim, Hyunwook Lee, Seungmin Jin, Jongeun Lee, Taehwan Kim, Sungahn Ko
2022	A	`conf`	Centered Symmetric Quantization for Hardware-Efficient Low-Bit Neural Networks. BMVC Faaiz Asim, Jaewoo Park, Azat Azamat, Jongeun Lee
2022	J	`jnl`	MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jooyeon Choi, Hyeonuk Sim, Sangyun Oh, Sugil Lee, Jongeun Lee
2022	—	`conf`	Multi-Fidelity Nonideality Simulation and Evaluation Framework for Resistive Neuromorphic Computing. IEEECONF Chenghao Quan, Mohammed E. Fouda, Sugil Lee, Jongeun Lee
2022	—	`conf`	Non-uniform Step Size Quantization for Accurate Post-training Quantization. ECCV (11) Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee
2022	J	`jnl`	Specializing CGRAs for Light-Weight Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jungi Lee, Jongeun Lee
2022	A	`conf`	Squeezing Accumulators in Binary Neural Networks for Extremely Resource-Constrained Applications. ICCAD Azat Azamat, Jaewoo Park, Jongeun Lee
2021	A*	`conf`	Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. CVPR Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee
2021	A	`conf`	Cost- and Dataset-free Stuck-at Fault Mitigation for ReRAM-based Deep Learning Accelerators. DATE Giju Jung, Mohammed E. Fouda, Sugil Lee, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2021	C	`conf`	Fast and Low-Cost Mitigation of ReRAM Variability for Deep Learning Applications. ICCD Sugil Lee, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2021	A	`conf`	NP-CGRA: Extending CGRAs for Efficient Processing of Light-weight Deep Neural Networks. DATE Jungi Lee, Jongeun Lee
2021	A	`conf`	Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. ICCAD Azat Azamat, Faaiz Asim, Jongeun Lee
2020	—	`conf`	Architecture-Accuracy Co-optimization of ReRAM-based Low-cost Neural Network Processor. ACM Great Lakes Symposium on VLSI Segi Lee, Sugil Lee, Jongeun Lee, Jong-Moon Choi, Do-Wan Kwon, Seung-Kwang Hong, Kee-Won Kwon
2020	J	`jnl`	CaseCrawler: A Lightweight and Low-Profile Crawling Phone Case Robot. IEEE Robotics Autom. Lett. Jongeun Lee, Gwang-Pil Jung, Sang-Min Baek, Soo-Hwan Chae, Sojung Yim, Woongbae Kim, Kyu-Jin Cho
2020	J	`jnl`	IR-QNN Framework: An IR Drop-Aware Offline Training of Quantized Crossbar Arrays. IEEE Access Mohammed E. Fouda, Sugil Lee, Jongeun Lee, Gun Hwan Kim, Fadi J. Kurdahi, Ahmed M. Eltawil
2020	A*	`conf`	Learning to Predict IR Drop with Effective Training for ReRAM-based Neural Network Hardware. DAC Sugil Lee, Giju Jung, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2020	J	`jnl`	RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation. IEEE Access Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
2020	A	`conf`	SparTANN: sparse training accelerator for neural networks with threshold-based sparsification. ISLPED Hyeonuk Sim, Jooyeon Choi, Jongeun Lee
2019	J	`jnl`	Cost-effective stochastic MAC circuits for deep neural networks. Neural Networks Hyeonuk Sim, Jongeun Lee
2019	J	`jnl`	Double MAC on a DSP: Boosting the Performance of Convolutional Neural Networks on FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sugil Lee, Daewoo Kim, Dong Nguyen, Jongeun Lee
2019	—	`conf`	Efficient FPGA implementation of local binary convolutional neural network. ASP-DAC Aidyn Zhakatayev, Jongeun Lee
2019	—	`conf`	Log-quantized stochastic computing for memory and computation efficient DNNs. ASP-DAC Hyeon Uk Sim, Jongeun Lee
2019	—	`conf`	On-chip memory optimization for high-level synthesis of multi-dimensional data on FPGA. ASP-DAC Daewoo Kim, Sugil Lee, Jongeun Lee
2019	J	`jnl`	RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation. CoRR Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
2019	A*	`conf`	Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing. DAC Sugil Lee, Hyeon Uk Sim, Jooyeon Choi, Jongeun Lee
2019	—	`conf`	XOMA: exclusive on-chip memory architecture for energy-efficient deep learning acceleration. ASP-DAC Hyeon Uk Sim, Jason Helge Anderson, Jongeun Lee
2018	J	`jnl`	An Efficient and Accurate Stochastic Number Generator Using Even-Distribution Coding. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Aidyn Zhakatayev, Kyounghoon Kim, Kiyoung Choi, Jongeun Lee
2018	—	`conf`	Architecture Exploration of Standard-Cell and FPGA-Overlay CGRAs Using the Open-Source CGRA-ME Framework. ISPD S. Alexander Chin, Kuang Ping Niu, Matthew J. P. Walker, Shizhang Yin, Alexander Mertens, Jongeun Lee, Jason Helge Anderson
2018	A*	`conf`	DPS: dynamic precision scaling for stochastic computing-based deep neural networks. DAC Hyeon Uk Sim, Saken Kenzhegulov, Jongeun Lee
2018	—	`conf`	FPGA Architecture Enhancements for Efficient BNN Implementation. FPT Jin Hee Kim, Jongeun Lee, Jason Helge Anderson
2018	—	`conf`	Overcoming Crossbar Nonidealities in Binary Neural Networks Through Learning. NANOARCH Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, Fadi J. Kurdahi
2018	A*	`conf`	Sign-magnitude SC: getting 10X accuracy for free in stochastic computing for deep neural networks. DAC Aidyn Zhakatayev, Sugil Lee, Hyeon Uk Sim, Jongeun Lee
2017	A*	`conf`	A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks. DAC Hyeon Uk Sim, Jongeun Lee
2017	C	`conf`	Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks. ICCD Joonsang Yu, Kyounghoon Kim, Jongeun Lee, Kiyoung Choi
2017	—	`conf`	Bio-inspired Design of a Double-Sided Crawling Robot. Living Machines Jongeun Lee, Gwang-Pil Jung, Kyu-Jin Cho
2017	A	`conf`	Design space exploration of FPGA accelerators for convolutional neural networks. DATE Atul Rahman, Sangyun Oh, Jongeun Lee, Kiyoung Choi
2017	A	`conf`	Double MAC: Doubling the performance of convolutional neural networks on modern FPGAs. DATE Dong Nguyen, Daewoo Kim, Jongeun Lee
2017	J	`jnl`	Efficient Execution of Stream Graphs on Coarse-Grained Reconfigurable Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sangyun Oh, Hongsik Lee, Jongeun Lee
2017	—	`conf`	FPGA implementation of convolutional neural network based on stochastic computing. FPT Daewoo Kim, Mansureh S. Moghaddam, Hossein Moradian, Hyeon Uk Sim, Jongeun Lee, Kiyoung Choi
2017	—	`conf`	Scalable stochastic-computing accelerator for convolutional neural networks. ASP-DAC Hyeon Uk Sim, Dong Nguyen, Jongeun Lee, Kiyoung Choi
2016	—	`conf`	A new approach to binarizing neural networks. ISOCC Jungwoo Seo, Joonsang Yu, Jongeun Lee, Kiyoung Choi
2016	—	`conf`	An energy-efficient random number generator for stochastic circuits. ASP-DAC Kyounghoon Kim, Jongeun Lee, Kiyoung Choi
2016	A	`conf`	Communication-aware mapping of stream graphs for multi-GPU platforms. CGO Dong Nguyen, Jongeun Lee
2016	A*	`conf`	Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks. DAC Kyounghoon Kim, Jungki Kim, Joonsang Yu, Jungwoo Seo, Jongeun Lee, Kiyoung Choi
2016	A	`conf`	Efficient FPGA acceleration of Convolutional Neural Networks using logical-3D compute array. DATE Atul Rahman, Jongeun Lee, Kiyoung Choi
2016	J	`jnl`	Efficient High-Level Synthesis for Nested Loops of Nonrectangular Iteration Spaces. IEEE Trans. Very Large Scale Integr. Syst. Hyeon Uk Sim, Atul Rahman, Jongeun Lee
2016	J	`jnl`	Mapping Imperfect Loops to Coarse-Grained Reconfigurable Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hyeon Uk Sim, Hongsik Lee, Seongseok Seo, Jongeun Lee
2015	A*	`conf`	Optimizing stream program performance on CGRA-based systems. DAC Hongsik Lee, Dong Nguyen, Jongeun Lee
2014	J	`jnl`	Configurable range memory for effective data reuse on programmable accelerators. ACM Trans. Design Autom. Electr. Syst. Jongeun Lee, Seongseok Seo, Jong Kyung Paek, Kiyoung Choi
2014	J	`jnl`	Design and optimization for embedded and real-time computing systems and applications. J. Syst. Archit. Jongeun Lee, Steve Goddard, Chin-Fu Kuo
2014	—	`conf`	Efficient Software-Based Runtime Binary Translation for Coarse-Grained Reconfigurable Architectures. IPDPS Workshops Toan X. Mai, Jongeun Lee
2014	Misc	`conf`	Flattening-based mapping of imperfect loop nests for CGRAs? CODES+ISSS Jongeun Lee, Seongseok Seo, Hongsik Lee, Hyeon Uk Sim
2014	B	`conf`	Improving performance of loops on DIAM-based VLIW architectures. LCTES Jinyong Lee, Jongwon Lee, Jongeun Lee, Yunheung Paek
2013	J	`jnl`	A 1.2 V 30 nm 3.2 Gb/s/pin 4 Gb DDR4 SDRAM With Dual-Error Detection and PVT-Tolerant Data-Fetch Scheme. IEEE J. Solid State Circuits Kyomin Sohn, Taesik Na, Indal Song, Yong Shim, Wonil Bae, Sanghee Kang, Dongsu Lee, Hangyun Jung, Seok-Hun Hyun, Hanki Jeoung, Ki Won Lee, Jun-Seok Park, Jongeun Lee, ByungHyun Lee, Inwoo Jun, Juseop Park, Junghwan Park, Hundai Choi, Sanghee Kim, Haeyoung Chung, Young Choi, Dae-Hee Jung, Byungchul Kim, Jung-Hwan Choi, Seong-Jin Jang, Chi-Wook Kim, Jung-Bae Lee, Joo-Sun Choi
2013	J	`jnl`	Architecture customization of on-chip reconfigurable accelerators. ACM Trans. Design Autom. Electr. Syst. Jonghee W. Yoon, Jongeun Lee, Sanghyun Park, Yongjoo Kim, Jinyong Lee, Yunheung Paek, Doosan Cho
2013	A	`conf`	Compiling control-intensive loops for CGRAs with state-based full predication. DATE Kyuseung Han, Kiyoung Choi, Jongeun Lee
2013	J	`jnl`	Evaluator-executor transformation for efficient pipelining of loops with conditionals. ACM Trans. Archit. Code Optim. Yeonghun Jeong, Seongseok Seo, Jongeun Lee
2013	A	`conf`	Fast shared on-chip memory architecture for efficient hybrid computing with CGRAs. DATE Jongeun Lee, Yeonghun Jeong, Sungsok Seo
2013	J	`jnl`	Software-based register file vulnerability reduction for embedded processors. ACM Trans. Embed. Comput. Syst. Jongeun Lee, Aviral Shrivastava
2012	—	`conf`	A 1.2V 30nm 3.2Gb/s/pin 4Gb DDR4 SDRAM with dual-error detection and PVT-tolerant data-fetch scheme. ISSCC Kyomin Sohn, Taesik Na, Indal Song, Yong Shim, Wonil Bae, Sanghee Kang, Dongsu Lee, Hangyun Jung, Hanki Jeoung, Ki Won Lee, Junsuk Park, Jongeun Lee, ByungHyun Lee, Inwoo Jun, Juseop Park, Junghwan Park, Hundai Choi, Sanghee Kim, Haeyoung Chung, Young Choi, Dae-Hee Jung, Jang Seok Choi, Byung-Sick Moon, Jung-Hwan Choi, Byungchul Kim, Seong-Jin Jang, Joo-Sun Choi, Kyungseok Oh
2012	—	`conf`	Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture. ARC Yongjoo Kim, Jongeun Lee, Jinyong Lee, Toan X. Mai, Ingoo Heo, Yunheung Paek
2012	J	`jnl`	Improving performance of nested loops on reconfigurable array processors. ACM Trans. Archit. Code Optim. Yongjoo Kim, Jongeun Lee, Toan X. Mai, Yunheung Paek
2012	J	`jnl`	PICA: Processor Idle Cycle Aggregation for Energy-Efficient Embedded Systems. ACM Trans. Embed. Comput. Syst. Jongeun Lee, Aviral Shrivastava
2012	J	`jnl`	Return Data Interleaving for Multi-Channel Embedded CMPs Systems. IEEE Trans. Very Large Scale Integr. Syst. Fei Hong, Aviral Shrivastava, Jongeun Lee
2012	—	`conf`	Software-managed automatic data sharing for Coarse-Grained Reconfigurable coprocessors. FPT Toan X. Mai, Jongeun Lee
2011	J	`jnl`	Fast graph-based instruction selection for multi-output instructions. Softw. Pract. Exp. Jonghee M. Youn, Jongwon Lee, Yunheung Paek, Jongeun Lee, Hanno Scharwächter, Rainer Leupers
2011	J	`jnl`	High Throughput Data Mapping for Coarse-Grained Reconfigurable Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yongjoo Kim, Jongeun Lee, Aviral Shrivastava, Jonghee W. Yoon, Doosan Cho, Yunheung Paek
2011	A	`conf`	I DATE Jonghee W. Yoon, Jongeun Lee, Jaewan Jung, Sanghyun Park, Yongjoo Kim, Yunheung Paek, Doosan Cho
2011	J	`jnl`	Memory access optimization in compilation for coarse-grained reconfigurable architectures. ACM Trans. Design Autom. Electr. Syst. Yongjoo Kim, Jongeun Lee, Aviral Shrivastava, Yunheung Paek
2011	J	`jnl`	Static Analysis of Register File Vulnerability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jongeun Lee, Aviral Shrivastava
2010	J	`jnl`	A Compiler-Microarchitecture Hybrid Approach to Soft Error Reduction for Register Files. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jongeun Lee, Aviral Shrivastava
2010	B	`conf`	Cache vulnerability equations for protecting data in embedded processor caches from soft errors. LCTES Aviral Shrivastava, Jongeun Lee, Reiley Jeyapaul
2010	—	`conf`	Memory-Aware Application Mapping on Coarse-Grained Reconfigurable Arrays. HiPEAC Yongjoo Kim, Jongeun Lee, Aviral Shrivastava, Jonghee W. Yoon, Yunheung Paek
2010	B	`conf`	Operation and data mapping for CGRAs with multi-bank memory. LCTES Yongjoo Kim, Jongeun Lee, Aviral Shrivastava, Yunheung Paek
2009	J	`jnl`	A Software-Only Solution to Use Scratch Pads for Stack Data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Aviral Shrivastava, Arun Kannan, Jongeun Lee
2009	B	`conf`	A compiler optimization to reduce soft errors in register files. LCTES Jongeun Lee, Aviral Shrivastava
2009	—	`conf`	A software solution for dynamic stack management on scratch pad memory. ASP-DAC Arun Kannan, Aviral Shrivastava, Amit Pabalkar, Jongeun Lee
2009	—	`conf`	Compiler-managed register file protection for energy-efficient soft error reduction. ASP-DAC Jongeun Lee, Aviral Shrivastava
2009	A	`conf`	FSAF: File system aware flash translation layer for NAND Flash Memories. DATE Sai Krishna Mylavarapu, Siddharth Choudhuri, Aviral Shrivastava, Jongeun Lee, Tony Givargis
2009	A	`conf`	Static analysis to mitigate soft errors in register files. DATE Jongeun Lee, Aviral Shrivastava
2008	—	`conf`	Hanmadang: entertainment systems for massive face-to-face interaction. Advances in Computer Entertainment Technology Geonhyeok Go, Sujung Han, Jongeun Lee, Yuri Choi, Bowen Sun, Youngwoo Park, Donggi Jung, Sungjae Hwang, Chang-Young Lim
2008	Misc	`conf`	SDRM: Simultaneous Determination of Regions and Function-to-Region Mapping for Scratchpad Memories. HiPC Amit Pabalkar, Aviral Shrivastava, Arun Kannan, Jongeun Lee
2008	Misc	`conf`	Static analysis of processor stall cycle aggregation. CODES+ISSS Jongeun Lee, Aviral Shrivastava