Very deep convolutional neural networks for raw waveforms
Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Das, Samarjit
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.03.2017)
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.03.2017)
Get full text
Conference Proceeding
A comparison of Deep Learning methods for environmental sound detection
Juncheng Li, Wei Dai, Metze, Florian, Shuhui Qu, Das, Samarjit
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.03.2017)
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01.03.2017)
Get full text
Conference Proceeding
The effects of bioactive components from the rhizome of gastrodia elata blume (Tianma) on the characteristics of Parkinson's disease
Lu, Changcheng, Qu, Shuhui, Zhong, Zhangfeng, Luo, Hua, Lei, Si San, Zhong, Hai-Jing, Su, Huanxing, Wang, Yitao, Chong, Cheong-Meng
Published in Frontiers in pharmacology (30.11.2022)
Published in Frontiers in pharmacology (30.11.2022)
Get full text
Journal Article
Strategies targeting endoplasmic reticulum stress to improve Parkinson’s disease
Wang, Danni, Qu, Shuhui, Zhang, Zaijun, Tan, Liang, Chen, Xiuping, Zhong, Hai-Jing, Chong, Cheong-Meng
Published in Frontiers in pharmacology (10.11.2023)
Published in Frontiers in pharmacology (10.11.2023)
Get full text
Journal Article
Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning
Shuhui Qu, Jie Wang, Jasperneite, Juergen
Published in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) (01.09.2018)
Published in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) (01.09.2018)
Get full text
Conference Proceeding
Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach
Shuhui Qu, Jie Wang, Shivani, Govil
Published in 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) (01.09.2016)
Published in 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) (01.09.2016)
Get full text
Conference Proceeding
A centralized reinforcement learning approach for proactive scheduling in manufacturing
Shuhui Qu, Tianshu Chu, Jie Wang, Leckie, James, Weiwen Jian
Published in 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) (01.09.2015)
Published in 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) (01.09.2015)
Get full text
Conference Proceeding
Online Identification of Inertia Distribution in Normal Operating Power System
Zeng, Fanhong, Zhang, Junbo, Zhou, Yang, Qu, Shuhui
Published in IEEE transactions on power systems (01.07.2020)
Published in IEEE transactions on power systems (01.07.2020)
Get full text
Journal Article
Large-scale traffic grid signal control with regional Reinforcement Learning
Chu, Tianshu, Qu, Shuhui, Wang, Jie
Published in 2016 American Control Conference (ACC) (01.07.2016)
Published in 2016 American Control Conference (ACC) (01.07.2016)
Get full text
Conference Proceeding
Journal Article
Large-scale multi-agent reinforcement learning using image-based state representation
Tianshu Chu, Shuhui Qu, Jie Wang
Published in 2016 IEEE 55th Conference on Decision and Control (CDC) (01.12.2016)
Published in 2016 IEEE 55th Conference on Decision and Control (CDC) (01.12.2016)
Get full text
Conference Proceeding
Azoramide prevents MPP+-induced dopaminergic neuronal death via upregulating ER chaperone BiP expression
Ai, Nana, Wang, Danni, Qu, Shuhui, Vong, Chi Teng, Yuan, Mingzhe, Su, Huanxing, Ge, Wei, Chong, Cheong-Meng
Published in Free radical biology & medicine (01.11.2023)
Published in Free radical biology & medicine (01.11.2023)
Get full text
Journal Article
Dynamic scheduling in modern processing systems using expert-guided distributed reinforcement learning
Qu, Shuhui, Wang, Jie, Jasperneite, Juergen
Published in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (01.09.2019)
Published in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (01.09.2019)
Get full text
Conference Proceeding
Comuptional reasoning and learning for smart manufacturing under realistic conditions
Shuhui Qu, Jian, Raymond, Tianshu Chu, Jie Wang, Tian Tan
Published in 2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014) (01.10.2014)
Published in 2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014) (01.10.2014)
Get full text
Conference Proceeding
Multimodal Machine Learning for Display Panel Defect Layer Identification
Lee, Janghwan, Qu, Shuhui, Kang, Yan, Jang, Wonhyouk
Published in 2021 32nd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC) (10.05.2021)
Published in 2021 32nd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC) (10.05.2021)
Get full text
Conference Proceeding