Joonsang Yu

According to our database1, Joonsang Yu authored at least 22 papers between 2016 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
HyperCLOVA X Technical Report.
CoRR, 2024

Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting.
CoRR, 2024

EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

400G cost-effective EML for B5G/6G Fronthaul Network.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GeNAS: Neural Architecture Search with Better Generalization.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Pipe-BD: Pipelined Parallel Blockwise Distillation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection.
CoRR, 2022

NN-LUT: neural approximation of non-linear operations for efficient transformer inference.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Enabling hard constraints in differentiable neural network and accelerator co-exploration.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
DANCE: Differentiable Accelerator/Network Co-Exploration.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2019
Acceleration of DNN Backward Propagation by Selective Computation of Gradients.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Network Recasting: A Universal Method for Network Architecture Transformation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Tapered-Ratio Compression for Residual Network.
Proceedings of the International SoC Design Conference, 2018

2017
Efficient Low-Cost Fault-Localization and Self-Repairing Radix-2 Signed-Digit Adders Applying the Self-Dual Concept.
J. Signal Process. Syst., 2017

Hybrid spiking-stochastic Deep Neural Network.
Proceedings of the 2017 International Symposium on VLSI Design, Automation and Test, 2017

A new stochastic mutiplier for deep neural networks.
Proceedings of the International SoC Design Conference, 2017

Accurate and Efficient Stochastic Computing Hardware for Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Design, 2017

2016
A new approach to binarizing neural networks.
Proceedings of the International SoC Design Conference, 2016

Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks.
Proceedings of the 53rd Annual Design Automation Conference, 2016


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