Minsu Kim

87 papers A* 20A 2C 1Journal 50Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Offline Model-Based Optimization: Comprehensive Review.
Trans. Mach. Learn. Res.
Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2026 J jnl
Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors.
CoRR
Hyeonah Kim, Minsu Kim, Celine Roget, Dionessa Biton, Louis Vaillancourt, Yves V. Brun, Yoshua Bengio, Alex Hernández-García
2025 J jnl
Active Attacks: Red-teaming LLMs via Adaptive Environments.
CoRR
Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park, Yoshua Bengio, Minsu Kim
2025 J jnl
Adaptive Cyclic Diffusion for Inference Scaling.
CoRR
Gyubin Lee, Truong Nhat Nguyen Bao, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn
2025 A* conf
Adaptive teachers for amortized samplers.
ICLR
Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
2025 A conf
Ant Colony Sampling with GFlowNets for Combinatorial Optimization.
AISTATS
Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jiwoo Son, Jinkyoo Park, Yoshua Bengio
2025 J jnl
Decoupled Sequence and Structure Generation for Realistic Antibody Design.
Trans. Mach. Learn. Res.
Nayoung Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2025 A* conf
Generative Flows on Synthetic Pathway for Drug Design.
ICLR
Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2025 A* conf
Improved Off-policy Reinforcement Learning in Biological Sequence Design.
ICML
Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2025 A* conf
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning.
ICLR
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2025 A* conf
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks.
ICLR
Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2025 A* conf
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization.
ISCA
Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park
2025 J jnl
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization.
CoRR
Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park
2025 J jnl
Offline Model-Based Optimization: Comprehensive Review.
CoRR
Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen
2025 A* conf
Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models.
ICML
Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025 J jnl
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models.
CoRR
Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025 — conf
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
KDD (2)
Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2025 J jnl
Search-Based Correction of Reasoning Chains for Language Models.
CoRR
Minsu Kim, Jean-Pierre R. Falet, Oliver E. Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio
2025 J jnl
Self-Evolving Curriculum for LLM Reasoning.
CoRR
Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alexandre Piché, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo
2025 J jnl
Solving Bayesian inverse problems with diffusion priors and off-policy RL.
CoRR
Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025 J jnl
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training.
CoRR
Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan S. Obando-Ceron, Yoshua Bengio, Bhavya Kailkhura
2024 J jnl
A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
IEEE Micro
Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim
2024 J jnl
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training.
CoRR
Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
2024 J jnl
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training.
Proc. VLDB Endow.
Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
2024 J jnl
Adaptive teachers for amortized samplers.
CoRR
Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
2024 A* conf
Amortizing intractable inference in diffusion models for vision, language, and control.
NeurIPS
Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024 J jnl
Amortizing intractable inference in diffusion models for vision, language, and control.
CoRR
Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024 J jnl
Anfinsen Goes Neural: a Graphical Model for Conditional Antibody Design.
CoRR
Nayoung Kim, Minsu Kim, Jinkyoo Park
2024 J jnl
Ant Colony Sampling with GFlowNets for Combinatorial Optimization.
CoRR
Minsu Kim, Sanghyeok Choi, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, Yoshua Bengio
2024 A* conf
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context.
AAAI
Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park
2024 J jnl
Generative Flows on Synthetic Pathway for Drug Design.
CoRR
Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2024 A* conf
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization.
NeurIPS
Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2024 J jnl
Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark.
CoRR
Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2024 J jnl
Improved Off-policy Reinforcement Learning in Biological Sequence Design.
CoRR
Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-García, Jinkyoo Park
2024 A* conf
Improved off-policy training of diffusion samplers.
NeurIPS
Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
2024 — conf
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale.
IISWC
Jaehong Cho, Minsu Kim, Hyunmin Choi, Guseul Heo, Jongse Park
2024 J jnl
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale.
CoRR
Jaehong Cho, Minsu Kim, Hyunmin Choi, Guseul Heo, Jongse Park
2024 J jnl
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
CoRR
Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim
2024 J jnl
Learning diverse attacks on large language models for robust red-teaming and safety tuning.
CoRR
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
2024 A* conf
Learning to Scale Logits for Temperature-Conditional GFlowNets.
ICML
Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio
2024 A* conf
Local Search GFlowNets.
ICLR
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
2024 J jnl
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks.
CoRR
Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024 J jnl
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling.
CoRR
Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
2024 A* conf
Pessimistic Backward Policy for GFlowNets.
NeurIPS
Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024 J jnl
Pessimistic Backward Policy for GFlowNets.
CoRR
Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
2024 A* conf
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization.
ICML
Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2023 A* conf
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences.
NeurIPS
Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
2023 J jnl
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences.
CoRR
Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
2023 A* conf
DevFormer: A Symmetric Transformer for Context-Aware Device Placement.
ICML
Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park
2023 J jnl
Learning to Scale Logits for Temperature-Conditional GFlowNets.
CoRR
Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio
2023 J jnl
Local Search GFlowNets.
CoRR
Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
2023 A* conf
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization.
ICML
Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
2023 J jnl
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization.
CoRR
Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park
2023 J jnl
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
CoRR
Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park
2023 J jnl
Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context.
CoRR
Jiwoo Son, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
2023 J jnl
Symmetric Exploration in Combinatorial Optimization is Free!
CoRR
Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
2022 — conf
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.
USENIX ATC
Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
2022 J jnl
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.
CoRR
Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
2022 J jnl
Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design.
CoRR
Haeyeon Kim, Minsu Kim, Joungho Kim, Jinkyoo Park
2022 A* conf
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization.
NeurIPS
Minsu Kim, Junyoung Park, Jinkyoo Park
2022 J jnl
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization.
CoRR
Minsu Kim, Junyoung Park, Jinkyoo Park
2022 J jnl
Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM).
CoRR
HyunWook Park, Minsu Kim, Seongguk Kim, Keunwoo Kim, Haeyeon Kim, Taein Shin, Keeyoung Son, Boogyo Sim, Subin Kim, Seungtaek Jeong, Chulsoon Hwang, Joungho Kim
2021 A* conf
Learning Collaborative Policies to Solve NP-hard Routing Problems.
NeurIPS
Minsu Kim, Jinkyoo Park, Joungho Kim
2021 J jnl
Learning Collaborative Policies to Solve NP-hard Routing Problems.
CoRR
Minsu Kim, Jinkyoo Park, Joungho Kim
2019 — conf
A 512Gb 3-bit/Cell 3D 6
ISSCC
Dongku Kang, Minsu Kim, Suchang Jeon, Wontaeck Jung, Jooyong Park, Gyo Soo Choo, Dong-Kyo Shim, Anil Kavala, Seungbum Kim, Kyung-Min Kang, Jiyoung Lee, Kuihan Ko, Hyun Wook Park, Byungjun Min, Changyeon Yu, Sewon Yun, Nahyun Kim, Yeonwook Jung, Sungwhan Seo, Sunghoon Kim, Moo Kyung Lee, Joo-Yong Park, James C. Kim, Young San Cha, Kwangwon Kim, Youngmin Jo, Hyun-Jin Kim, Youngdon Choi, Jindo Byun, Ji-Hyun Park, KiWon Kim, Tae-Hong Kwon, Young-Sun Min, Chiweon Yoon, Youngcho Kim, Dong-Hun Kwak, Eungsuk Lee, Wook-Ghee Hahn, Ki-Sung Kim, Kyungmin Kim, Euisang Yoon, Won-Tae Kim, Inryul Lee, Seunghyun Moon, Jeong-Don Ihm, Dae-Seok Byeon, Ki-Whan Song, Sangjoon Hwang, Kyehyun Kyung
2018 — conf
A 1Tb 4b/cell 64-stacked-WL 3D NAND flash memory with 12MB/s program throughput.
ISSCC
Seungjae Lee, Chulbum Kim, Minsu Kim, Sung-Min Joe, Joonsuc Jang, Seungbum Kim, Kangbin Lee, Jisu Kim, Jiyoon Park, Hanjun Lee, Min-Seok Kim, SeonYong Lee, SeonGeon Lee, Jinbae Bang, Dongjin Shin, Hwajun Jang, Deokwoo Lee, Nahyun Kim, Jonghoo Jo, Jonghoon Park, Sohyun Park, Youngsik Rho, Yongha Park, Hojoon Kim, Cheon An Lee, Chungho Yu, Young-Sun Min, Moosung Kim, Kyungmin Kim, Seunghyun Moon, Hyun-Jin Kim, Youngdon Choi, YoungHwan Ryu, Jinwon Choi, Minyeong Lee, Jungkwan Kim, Gyo Soo Choo, Jeong-Don Lim, Dae-Seok Byeon, Ki-Whan Song, Ki-Tae Park, Kyehyun Kyung
2016 — conf
7.5 A 128Gb 2b/cell NAND flash memory in 14nm technology with tPROG=640µs and 800MB/s I/O rate.
ISSCC
Seungjae Lee, Jin-Yub Lee, Il-Han Park, Jong-Yeol Park, Sung-Won Yun, Minsu Kim, Jong-Hoon Lee, Min-Seok Kim, Kangbin Lee, Taeeun Kim, Byungkyu Cho, Dooho Cho, Sangbum Yun, Jung-No Im, Hyejin Yim, Kyung-Hwa Kang, Suchang Jeon, Sungkyu Jo, Yang-Lo Ahn, Sung-Min Joe, Suyong Kim, Deok-kyun Woo, Jiyoon Park, Hyun Wook Park, Youngmin Kim, Jonghoon Park, Yongsu Choi, Makoto Hirano, Jeong-Don Ihm, Byunghoon Jeong, Seon-Kyoo Lee, Moosung Kim, Hokil Lee, Sungwhan Seo, Hongsoo Jeon, Chan-ho Kim, Hyunggon Kim, Jintae Kim, Yongsik Yim, HooSung Kim, Dae-Seok Byeon, Hyang-Ja Yang, Ki-Tae Park, Kyehyun Kyung, Jeong-Hyuk Choi
2015 J jnl
Three-Dimensional 128 Gb MLC Vertical nand Flash Memory With 24-WL Stacked Layers and 50 MB/s High-Speed Programming.
IEEE J. Solid State Circuits
Ki-Tae Park, Sangwan Nam, Dae-Han Kim, Pansuk Kwak, Doosub Lee, Yoon-Hee Choi, Myung-Hoon Choi, Dong-Hun Kwak, Doo-Hyun Kim, Minsu Kim, Hyun Wook Park, Sang-Won Shim, Kyung-Min Kang, Sang-Won Park, Kangbin Lee, Hyun-Jun Yoon, Kuihan Ko, Dong-Kyo Shim, Yang-Lo Ahn, Jinho Ryu, Donghyun Kim, Kyunghwa Yun, Joonsoo Kwon, Seunghoon Shin, Dae-Seok Byeon, Kihwan Choi, Jin-Man Han, Kyehyun Kyung, Jeong-Hyuk Choi, Kinam Kim
2014 — conf
19.5 Three-dimensional 128Gb MLC vertical NAND Flash-memory with 24-WL stacked layers and 50MB/s high-speed programming.
ISSCC
Ki-Tae Park, Jin-Man Han, Dae-Han Kim, Sangwan Nam, Kihwan Choi, Minsu Kim, Pansuk Kwak, Doosub Lee, Yoon-Hee Choi, Kyung-Min Kang, Myung-Hoon Choi, Dong-Hun Kwak, Hyun Wook Park, Sang-Won Shim, Hyun-Jun Yoon, Doo-Hyun Kim, Sang-Won Park, Kangbin Lee, Kuihan Ko, Dong-Kyo Shim, Yang-Lo Ahn, Jeunghwan Park, Jinho Ryu, Donghyun Kim, Kyunghwa Yun, Joonsoo Kwon, Seunghoon Shin, Dongkyu Youn, Won-Tae Kim, Taehyun Kim, Sung-Jun Kim, Sungwhan Seo, Hyunggon Kim, Dae-Seok Byeon, Hyang-Ja Yang, Moosung Kim, Myong-Seok Kim, Jinseon Yeon, Jae-Hoon Jang, Han-Soo Kim, Woonkyung Lee, Duheon Song, Sungsoo Lee, Kyehyun Kyung, Jeong-Hyuk Choi
2011 J jnl
24-GOPS 4.5-mm
IEEE Trans. Neural Networks
Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, Hoi-Jun Yoo
2011 J jnl
A 345 mW Heterogeneous Many-Core Processor With an Intelligent Inference Engine for Robust Object Recognition.
IEEE J. Solid State Circuits
Seungjin Lee, Jinwook Oh, Junyoung Park, Joonsoo Kwon, Minsu Kim, Hoi-Jun Yoo
2010 J jnl
A 118.4 GB/s Multi-Casting Network-on-Chip With Hierarchical Star-Ring Combined Topology for Real-Time Object Recognition.
IEEE J. Solid State Circuits
Joo-Young Kim, Junyoung Park, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2010 J jnl
A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine.
IEEE J. Solid State Circuits
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Hoi-Jun Yoo
2010 C conf
A 22.4 mW competitive fuzzy edge detection processor for volume rendering.
ISCAS
Joonsoo Kwon, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2010 — conf
A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition.
ISSCC
Seungjin Lee, Jinwook Oh, Minsu Kim, Junyoung Park, Joonsoo Kwon, Hoi-Jun Yoo
2010 J jnl
An attention controlled multi-core architecture for energy efficient object recognition.
Signal Process. Image Commun.
Joo-Young Kim, Sejong Oh, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2010 J jnl
Familiarity based unified visual attention model for fast and robust object recognition.
Pattern Recognit.
Seungjin Lee, Kwanho Kim, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
2010 — conf
Intelligent NoC with neuro-fuzzy bandwidth regulation for a 51 IP object recognition processor.
CICC
Seungjin Lee, Jinwook Oh, Minsu Kim, Junyoung Park, Joonsoo Kwon, Joo-Young Kim, Hoi-Jun Yoo
2009 — conf
A 118.4GB/s multi-casting network-on-chip for real-time object recognition processor.
ESSCIRC
Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo
2009 J jnl
A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor With Bio-Inspired Visual Attention Engine.
IEEE J. Solid State Circuits
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
2009 — conf
A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine.
ISSCC
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Sejong Oh, Jeong-Ho Woo, Donghyun Kim, Hoi-Jun Yoo
2009 — conf
A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection.
CICC
Minsu Kim, Joo-Young Kim, Seungjin Lee, Jinwook Oh, Hoi-Jun Yoo
2009 A conf
A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management.
ISLPED
Joo-Young Kim, Seungjin Lee, Jinwook Oh, Minsu Kim, Hoi-Jun Yoo
2009 J jnl
A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo
2009 J jnl
Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining.
IEEE Micro
Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Sejong Oh, Hoi-Jun Yoo
2008 — conf
A 125GOPS 583mW Network-on-Chip Based Parallel Processor with Bio-inspired Visual-Attention Engine.
ISSCC
Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Donghyun Kim, Jeong-Ho Woo, Hoi-Jun Yoo
2008 — conf
A 211 GOPS/W dual-mode real-time object recognition processor with Network-on-Chip.
ESSCIRC
Kwanho Kim, Joo-Young Kim, Seungjin Lee, Minsu Kim, Hoi-Jun Yoo