Shuhui Qu

According to our database, Shuhui Qu authored at least 23 papers between 2014 and 2023.

Collaborative distances:

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

2023

SHAPNN: Shapley Value Regularized Tabular Neural Network.

Qisen Cheng, Shuhui Qu, Janghwan Lee

CoRR, 2023

2022

Error-aware Quantization through Noise Tempering.

Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell

CoRR, 2022

SQuAT: Sharpness- and Quantization-Aware Training for BERT.

Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell

CoRR, 2022

Robustness of Neural Architectures for Audio Event Detection.

Juncheng B. Li, Shuhui Qu, Florian Metze

CoRR, 2022

AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification.

Juncheng Li, Shuhui Qu, Po-Yao Huang, Florian Metze

Proceedings of the Interspeech 2022, 2022

On Adversarial Robustness Of Large-Scale Audio Visual Learning.

Juncheng B. Li, Shuhui Qu, Xinjian Li, Bernie Po-Yao Huang, Florian Metze

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Efficient Multi-Modal Fusion with Diversity Analysis.

Shuhui Qu, Yan Kang, Janghwan Lee

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Audio-Visual Event Recognition Through the Lens of Adversary.

Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multi-Agent Context-Aware Dynamic-Scheduling for Large-scale Processing Networks.

Shuhui Qu, Yirong Chen, Jürgen Jasperneite, Michael D. Lepech, Jie Wang

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019

Adversarial Music: Real World Audio Adversary Against Wake-word Detection System.

Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze

CoRR, 2019

Adversarial Music: Real world Audio Adversary against Wake-word Detection System.

Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamic scheduling in modern processing systems using expert-guided distributed reinforcement learning.

Shuhui Qu, Jie Wang, Jürgen Jasperneite

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018

Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning.

Shuhui Qu, Jie Wang, Jürgen Jasperneite

Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

2017

A Comparison of deep learning methods for environmental sound.

Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das

CoRR, 2017

A comparison of Deep Learning methods for environmental sound detection.

Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Very deep convolutional neural networks for raw waveforms.

Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Learning Filter Banks Using Deep Learning For Acoustic Signals.

Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das

CoRR, 2016

Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms.

Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das

CoRR, 2016

Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach.

Shuhui Qu, Jie Wang, Govil Shivani

Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

Large-scale multi-agent reinforcement learning using image-based state representation.

Tianshu Chu, Shuhui Qu, Jie Wang

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Large-scale traffic grid signal control with regional Reinforcement Learning.

Tianshu Chu, Shuhui Qu, Jie Wang

Proceedings of the 2016 American Control Conference, 2016

2015

A centralized reinforcement learning approach for proactive scheduling in manufacturing.

Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian

Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

2014

Comuptional reasoning and learning for smart manufacturing under realistic conditions.

Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan

Proceedings of the 2014 International Conference on Behavioral, 2014