Minsu Kim

Affiliations:
  • Korea Advanced Institute of Science and Technology (KAIST), Department of Electrical Engineering, Daejeon, South Korea


According to our database1, Minsu Kim authored at least 28 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.
CoRR, 2023

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DevFormer: A Symmetric Transformer for Context-Aware Device Placement.
Proceedings of the International Conference on Machine Learning, 2023

2022
Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design.
CoRR, 2022

Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM).
CoRR, 2022

2019

2018

2016

2015
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, 2015

2014

2011
24-GOPS 4.5-mm<sup>2</sup> Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC.
IEEE Trans. Neural Networks, 2011

A 345 mW Heterogeneous Many-Core Processor With an Intelligent Inference Engine for Robust Object Recognition.
IEEE J. Solid State Circuits, 2011

2010
An attention controlled multi-core architecture for energy efficient object recognition.
Signal Process. Image Commun., 2010

Familiarity based unified visual attention model for fast and robust object recognition.
Pattern Recognit., 2010

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, 2010

A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine.
IEEE J. Solid State Circuits, 2010

A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition.
Proceedings of the IEEE International Solid-State Circuits Conference, 2010

A 22.4 mW competitive fuzzy edge detection processor for volume rendering.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Intelligent NoC with neuro-fuzzy bandwidth regulation for a 51 IP object recognition processor.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2010

2009
A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2009

Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining.
IEEE Micro, 2009

A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor With Bio-Inspired Visual Attention Engine.
IEEE J. Solid State Circuits, 2009

A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine.
Proceedings of the IEEE International Solid-State Circuits Conference, 2009

A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management.
Proceedings of the 2009 International Symposium on Low Power Electronics and Design, 2009

A 118.4GB/s multi-casting network-on-chip for real-time object recognition processor.
Proceedings of the 35th European Solid-State Circuits Conference, 2009

A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2009

2008
A 125GOPS 583mW Network-on-Chip Based Parallel Processor with Bio-inspired Visual-Attention Engine.
Proceedings of the 2008 IEEE International Solid-State Circuits Conference, 2008

A 211 GOPS/W dual-mode real-time object recognition processor with Network-on-Chip.
Proceedings of the ESSCIRC 2008, 2008


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