Yukun Ding

Orcid: 0000-0003-3613-5647

According to our database1, Yukun Ding authored at least 19 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
A 0.04 mm<sup>2</sup>/Channel Neural Amplifier with An Input-Referred Noise of 4.6 µVrms and Power Consumption of 3 µW.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Lossless Neural Recording SoC for Epilepsy Monitoring with up to 84.9-dB Dynamic Range and Rail-to-Rail Stimulation Artifact Tolerance.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.
ACM J. Emerg. Technol. Comput. Syst., 2021

Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
CoRR, 2021

Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography.
Proceedings of the Information Processing in Medical Imaging, 2021

Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling.
CoRR, 2020

Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Real-Time Boiler Control Optimization with Machine Learning.
CoRR, 2019

Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms.
CoRR, 2019

On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
PBGAN: Partial Binarization of Deconvolution Based Generators.
CoRR, 2018

On the Universal Approximability of Quantized ReLU Neural Networks.
CoRR, 2018

Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Generative adversarial network based scalable on-chip noise sensor placement.
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017


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