Yukun Ding

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A 0.04 mm²/Channel Neural Amplifier with An Input-Referred Noise of 4.6 µVrms and Power Consumption of 3 µW.

Huiyong Zheng, Yukun Ding, Xiao Liu

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.

Yirui Liu, Yukun Ding, Xiao Liu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2021

Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.

Xiaowei Xu, Jiawei Zhang, Jinglan Liu, Yukun Ding, Tianchen Wang, Hailong Qiu, Haiyun Yuan, Jian Zhuang, Wen Xie, Yuhao Dong, Qianjun Jia, Meiping Huang, Yiyu Shi

ACM J. Emerg. Technol. Comput. Syst., 2021

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

Dewen Zeng, Yukun Ding, Haiyun Yuan, Meiping Huang, Xiaowei Xu, Jian Zhuang, Jingtong Hu, Yiyu Shi

CoRR, 2021

Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition.

Yukun Ding, Dewen Zeng, Mingqi Li, Hongwen Fei, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi

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.

Dewen Zeng, Mingqi Li, Yukun Ding, Xiaowei Xu, Qiu Xie, Ruixue Xu, Hongwen Fei, Meiping Huang, Jian Zhuang, Yiyu Shi

Proceedings of the Information Processing in Medical Imaging, 2021

Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography.

Dewen Zeng, Yukun Ding, Haiyun Yuan, Meiping Huang, Xiaowei Xu, Jian Zhuang, Jingtong Hu, Yiyu Shi

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.

Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, Yiyu Shi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

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

Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund

CoRR, 2020

Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation.

Yukun Ding, Jinglan Liu, Xiaowei Xu, Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising.

Jinglan Liu, Yukun Ding, Jinjun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi

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.

Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Real-Time Boiler Control Optimization with Machine Learning.

Yukun Ding, Yiyu Shi

CoRR, 2019

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

Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi

CoRR, 2019

On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks.

Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

PBGAN: Partial Binarization of Deconvolution Based Generators.

Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, Yiyu Shi

CoRR, 2018

On the Universal Approximability of Quantized ReLU Neural Networks.

Yukun Ding, Jinglan Liu, Yiyu Shi

CoRR, 2018

Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability.

Yukun Ding, Jinglan Liu, Jinjun Xiong, Meng Jiang, Yiyu Shi

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Generative adversarial network based scalable on-chip noise sensor placement.

Jinglan Liu, Yukun Ding, Jianlei Yang, Ulf Schlichtmann, Yiyu Shi

Proceedings of the 30th IEEE International System-on-Chip Conference, 2017