A 211 GOPS/W dual-mode real-time object recognition processor with Network-on-Chip. - Kwanho Kim; Joo-Young Kim 001; Seungjin Lee 001; Minsu Kim 004; Hoi-Jun Yoo (ESSCIRC, 2008)

A 125GOPS 583mW Network-on-Chip Based Parallel Processor with Bio-inspired Visual-Attention Engine. - Kwanho Kim; Seungjin Lee 001; Joo-Young Kim 001; Minsu Kim 004; Donghyun Kim 014; Jeong-Ho Woo; Hoi-Jun Yoo (ISSCC, 2008)

A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection. - Minsu Kim 004; Joo-Young Kim 001; Seungjin Lee 001; Jinwook Oh; Hoi-Jun Yoo (CICC, 2009)

A 118.4GB/s multi-casting network-on-chip for real-time object recognition processor. - Joo-Young Kim 001; Kwanho Kim; Seungjin Lee 001; Minsu Kim 004; Jinwook Oh; Hoi-Jun Yoo (ESSCIRC, 2009)

A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management. - Joo-Young Kim 001; Seungjin Lee 001; Jinwook Oh; Minsu Kim 004; Hoi-Jun Yoo (ISLPED, 2009)

A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine. - Joo-Young Kim 001; Minsu Kim 004; Seungjin Lee 001; Jinwook Oh; Kwanho Kim; Sejong Oh; Jeong-Ho Woo; Donghyun Kim 014; Hoi-Jun Yoo (ISSCC, 2009)

A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor With Bio-Inspired Visual Attention Engine. - Kwanho Kim; Seungjin Lee 001; Joo-Young Kim 001; Minsu Kim 004; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2009)

Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining. - Joo-Young Kim 001; Minsu Kim 004; Seungjin Lee 001; Jinwook Oh; Sejong Oh; Hoi-Jun Yoo (IEEE Micro, 2009)

A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition. - Kwanho Kim; Seungjin Lee 001; Joo-Young Kim 001; Minsu Kim 004; Hoi-Jun Yoo (IEEE Trans. Circuits Syst. Video Technol., 2009)

Intelligent NoC with neuro-fuzzy bandwidth regulation for a 51 IP object recognition processor. - Seungjin Lee 001; Jinwook Oh; Minsu Kim 004; Junyoung Park 002; Joonsoo Kwon; Joo-Young Kim 001; Hoi-Jun Yoo (CICC, 2010)

A 22.4 mW competitive fuzzy edge detection processor for volume rendering. - Joonsoo Kwon; Minsu Kim 004; Jinwook Oh; Hoi-Jun Yoo (ISCAS, 2010)

A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition. - Seungjin Lee 001; Jinwook Oh; Minsu Kim 004; Junyoung Park 002; Joonsoo Kwon; Hoi-Jun Yoo (ISSCC, 2010)

A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine. - Joo-Young Kim 001; Minsu Kim 004; Seungjin Lee 001; Jinwook Oh; Kwanho Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2010)

A 118.4 GB/s Multi-Casting Network-on-Chip With Hierarchical Star-Ring Combined Topology for Real-Time Object Recognition. - Joo-Young Kim 001; Junyoung Park 002; Seungjin Lee 001; Minsu Kim 004; Jinwook Oh; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2010)

Familiarity based unified visual attention model for fast and robust object recognition. - Seungjin Lee 001; Kwanho Kim; Joo-Young Kim 001; Minsu Kim 004; Hoi-Jun Yoo (Pattern Recognit., 2010)

An attention controlled multi-core architecture for energy efficient object recognition. - Joo-Young Kim 001; Sejong Oh; Seungjin Lee 001; Minsu Kim 004; Jinwook Oh; Hoi-Jun Yoo (Signal Process. Image Commun., 2010)

A 345 mW Heterogeneous Many-Core Processor With an Intelligent Inference Engine for Robust Object Recognition. - Seungjin Lee 001; Jinwook Oh; Junyoung Park 002; Joonsoo Kwon; Minsu Kim 004; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2011)

24-GOPS 4.5-mm2 Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC. - Seungjin Lee 001; Minsu Kim 004; Kwanho Kim; Joo-Young Kim 001; Hoi-Jun Yoo (IEEE Trans. Neural Networks, 2011)

19.5 Three-dimensional 128Gb MLC vertical NAND Flash-memory with 24-WL stacked layers and 50MB/s high-speed programming. - Ki-Tae Park; Jin-Man Han; Dae-Han Kim; Sangwan Nam; Kihwan Choi; Minsu Kim 004; Pansuk Kwak; Doosub Lee; Yoon-Hee Choi; Kyung-Min Kang; Myung-Hoon Choi; Dong-Hun Kwak; et al. (ISSCC, 2014)

Three-Dimensional 128 Gb MLC Vertical nand Flash Memory With 24-WL Stacked Layers and 50 MB/s High-Speed Programming. - 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 004; Hyun Wook Park; Sang-Won Shim; et al. (IEEE J. Solid State Circuits, 2015)

7.5 A 128Gb 2b/cell NAND flash memory in 14nm technology with tPROG=640µs and 800MB/s I/O rate. - Seungjae Lee 001; Jin-Yub Lee; Il-Han Park; Jong-Yeol Park; Sung-Won Yun; Minsu Kim 004; Jong-Hoon Lee; Min-Seok Kim; Kangbin Lee; Taeeun Kim; Byungkyu Cho; Dooho Cho; et al. (ISSCC, 2016)

A 1Tb 4b/cell 64-stacked-WL 3D NAND flash memory with 12MB/s program throughput. - Seungjae Lee 001; Chulbum Kim; Minsu Kim 004; Sung-Min Joe; Joonsuc Jang; Seungbum Kim; Kangbin Lee; Jisu Kim; Jiyoon Park; Hanjun Lee; Min-Seok Kim; Seonyong Lee; et al. (ISSCC, 2018)

A 512Gb 3-bit/Cell 3D 6th-Generation V-NAND Flash Memory with 82MB/s Write Throughput and 1.2Gb/s Interface. - Dongku Kang; Minsu Kim 004; Suchang Jeon; Wontaeck Jung; Jooyong Park; Gyo Soo Choo; Dong-Kyo Shim; Anil Kavala; Seungbum Kim; Kyung-Min Kang; Jiyoung Lee; Kuihan Ko; et al. (ISSCC, 2019)

Learning Collaborative Policies to Solve NP-hard Routing Problems. - Minsu Kim 004; Jinkyoo Park; Joungho Kim (NeurIPS, 2021)

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization. - Minsu Kim 004; Junyoung Park 002; Jinkyoo Park (NeurIPS, 2022)

CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. - Jinwoo Hwang; Minsu Kim 004; Daeun Kim; Seungho Nam; Yoonsung Kim; Dohee Kim; Hardik Sharma; Jongse Park (USENIX ATC, 2022)

Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM). - HyunWook Park; Minsu Kim 004; Seongguk Kim; Keunwoo Kim; Haeyeon Kim; Taein Shin; Keeyoung Son; Boogyo Sim; Subin Kim; Seungtaek Jeong; Chulsoon Hwang; Joungho Kim (CoRR, 2022)

Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design. - Haeyeon Kim; Minsu Kim 004; Joungho Kim; Jinkyoo Park (CoRR, 2022)

DevFormer: A Symmetric Transformer for Context-Aware Device Placement. - Haeyeon Kim; Minsu Kim 004; Federico Berto; Joungho Kim; Jinkyoo Park (ICML, 2023)

Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. - Jiwoo Son; Minsu Kim 004; Hyeonah Kim; Jinkyoo Park (ICML, 2023)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. - Minsu Kim 004; Federico Berto; Sungsoo Ahn; Jinkyoo Park (NeurIPS, 2023)

Symmetric Exploration in Combinatorial Optimization is Free! - Hyeonah Kim; Minsu Kim 004; Sungsoo Ahn; Jinkyoo Park (CoRR, 2023)

Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context. - Jiwoo Son; Minsu Kim 004; Sanghyeok Choi; Jinkyoo Park (CoRR, 2023)

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. - Federico Berto; Chuanbo Hua; Junyoung Park 002; Minsu Kim 004; Hyeonah Kim; Jiwoo Son; Haeyeon Kim; Joungho Kim; Jinkyoo Park (CoRR, 2023)

Learning to Scale Logits for Temperature-Conditional GFlowNets. - Minsu Kim 004; Joohwan Ko; Dinghuai Zhang; Ling Pan; Taeyoung Yun; Woochang Kim; Jinkyoo Park; Yoshua Bengio (CoRR, 2023)

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. - Jiwoo Son; Minsu Kim 004; Sanghyeok Choi; Hyeonah Kim; Jinkyoo Park (AAAI, 2024)

Local Search GFlowNets. - Minsu Kim 004; Taeyoung Yun; Emmanuel Bengio; Dinghuai Zhang; Yoshua Bengio; Sungsoo Ahn; Jinkyoo Park (ICLR, 2024)

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization. - Hyeonah Kim; Minsu Kim 004; Sungsoo Ahn; Jinkyoo Park (ICML, 2024)

Learning to Scale Logits for Temperature-Conditional GFlowNets. - Minsu Kim 004; Joohwan Ko; Taeyoung Yun; Dinghuai Zhang; Ling Pan; Woochang Kim; Jinkyoo Park; Emmanuel Bengio; Yoshua Bengio (ICML, 2024)

LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale. - Jaehong Cho; Minsu Kim 004; Hyunmin Choi; Guseul Heo; Jongse Park (IISWC, 2024)

Pessimistic Backward Policy for GFlowNets. - Hyosoon Jang; Yunhui Jang; Minsu Kim 004; Jinkyoo Park; Sungsoo Ahn (NeurIPS, 2024)

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization. - Hyeonah Kim; Minsu Kim 004; Sanghyeok Choi; Jinkyoo Park (NeurIPS, 2024)

Improved off-policy training of diffusion samplers. - Marcin Sendera; Minsu Kim 004; Sarthak Mittal; Pablo Lemos; Luca Scimeca; Jarrid Rector-Brooks; Alexandre Adam; Yoshua Bengio; Nikolay Malkin (NeurIPS, 2024)

Amortizing intractable inference in diffusion models for vision, language, and control. - Siddarth Venkatraman; Moksh Jain; Luca Scimeca; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (NeurIPS, 2024)

On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. - Marcin Sendera; Minsu Kim 004; Sarthak Mittal; Pablo Lemos; Luca Scimeca; Jarrid Rector-Brooks; Alexandre Adam; Yoshua Bengio; Nikolay Malkin (CoRR, 2024)

Genetic-guided GFlowNets: Advancing in Practical Molecular Optimization Benchmark. - Hyeonah Kim; Minsu Kim 004; Sanghyeok Choi; Jinkyoo Park (CoRR, 2024)

Anfinsen Goes Neural: a Graphical Model for Conditional Antibody Design. - Nayoung Kim; Minsu Kim 004; Jinkyoo Park (CoRR, 2024)

LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. - Seungjae Moon; Jung-Hoon Kim; Junsoo Kim 002; Seongmin Hong; Junseo Cha; Minsu Kim 004; Sukbin Lim; Gyubin Choi; Dongjin Seo; Jongho Kim; Hunjong Lee; Hyunjun Park; et al. (CoRR, 2024)

Improved Off-policy Reinforcement Learning in Biological Sequence Design. - Hyeonah Kim; Minsu Kim 004; Taeyoung Yun; Sanghyeok Choi; Emmanuel Bengio; Alex Hernández-García; Jinkyoo Park (CoRR, 2024)

A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. - Seungjae Moon; Jung-Hoon Kim; Junsoo Kim 002; Seongmin Hong; Junseo Cha; Minsu Kim 004; Sukbin Lim; Gyubin Choi; Dongjin Seo; Jongho Kim; Hunjong Lee; Hyunjun Park; et al. (IEEE Micro, 2024)

Accelerating String-key Learned Index Structures via Memoization-based Incremental Training. - Minsu Kim 004; Jinwoo Hwang; Guseul Heo; Seiyeon Cho; Divya Mahajan 001; Jongse Park (Proc. VLDB Endow., 2024)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization. - Minsu Kim 004; Sanghyeok Choi; Hyeonah Kim; Jiwoo Son; Jinkyoo Park; Yoshua Bengio (AISTATS, 2025)

Adaptive teachers for amortized samplers. - Minsu Kim 004; Sanghyeok Choi; Taeyoung Yun; Emmanuel Bengio; Leo Feng; Jarrid Rector-Brooks; Sungsoo Ahn; Jinkyoo Park; Nikolay Malkin; Yoshua Bengio (ICLR, 2025)

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks. - Nayoung Kim; Seongsu Kim; Minsu Kim 004; Jinkyoo Park; Sungsoo Ahn (ICLR, 2025)

Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. - Seanie Lee; Minsu Kim 004; Lynn Cherif; David Dobre; Juho Lee 001; Sung Ju Hwang; Kenji Kawaguchi; Gauthier Gidel; Yoshua Bengio; Nikolay Malkin; Moksh Jain (ICLR, 2025)

Generative Flows on Synthetic Pathway for Drug Design. - Seonghwan Seo; Minsu Kim 004; Tony Shen; Martin Ester; Jinkyoo Park; Sungsoo Ahn; Woo Youn Kim (ICLR, 2025)

Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization. - Minsu Kim 004; Seongmin Hong; Ryeowook Ko; Soongyu Choi; Hunjong Lee; Junsoo Kim 002; Joo-Young Kim 001; Jongse Park (ISCA, 2025)

Decoupled Sequence and Structure Generation for Realistic Antibody Design. - Nayoung Kim; Minsu Kim 004; Sungsoo Ahn; Jinkyoo Park (Trans. Mach. Learn. Res., 2025)

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. - Siddarth Venkatraman; Mohsin Hasan; Minsu Kim 004; Luca Scimeca; Marcin Sendera; Yoshua Bengio; Glen Berseth; Nikolay Malkin (CoRR, 2025)

Solving Bayesian inverse problems with diffusion priors and off-policy RL. - Luca Scimeca; Siddarth Venkatraman; Moksh Jain; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (CoRR, 2025)

Offline Model-Based Optimization: Comprehensive Review. - Minsu Kim 004; Jiayao Gu; Ye Yuan 017; Taeyoung Yun; Zixuan Liu 001; Yoshua Bengio; Can Chen 005 (CoRR, 2025)

Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization. - Minsu Kim 004; Seongmin Hong; Ryeowook Ko; Soongyu Choi; Hunjong Lee; Junsoo Kim 002; Joo-Young Kim 006; Jongse Park (CoRR, 2025)

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training. - Brian R. Bartoldson; Siddarth Venkatraman; James Diffenderfer; Moksh Jain; Tal Ben-Nun; Seanie Lee; Minsu Kim 004; Johan S. Obando-Ceron; Yoshua Bengio; Bhavya Kailkhura (CoRR, 2025)

Search-Based Correction of Reasoning Chains for Language Models. - Minsu Kim 004; Jean-Pierre R. Falet; Oliver E. Richardson; Xiaoyin Chen; Moksh Jain; Sungjin Ahn; Sungsoo Ahn; Yoshua Bengio (CoRR, 2025)

Adaptive Cyclic Diffusion for Inference Scaling. - Gyubin Lee; Truong Nhat Nguyen Bao; Jaesik Yoon; Dongwoo Lee; Minsu Kim 004; Yoshua Bengio; Sungjin Ahn (CoRR, 2025)

Self-Evolving Curriculum for LLM Reasoning. - Xiaoyin Chen; Jiarui Lu; Minsu Kim 004; Dinghuai Zhang; Jian Tang 005; Alexandre Piché; Nicolas Gontier; Yoshua Bengio; Ehsan Kamalloo (CoRR, 2025)