Comuptional reasoning and learning for smart manufacturing under realistic conditions. - Shuhui Qu; Raymond Jian; Tianshu Chu; Jie Wang 006; Tian Tan 003 (BESC, 2014)

A centralized reinforcement learning approach for proactive scheduling in manufacturing. - Shuhui Qu; Tianshu Chu; Jie Wang 006; James O. Leckie; Weiwen Jian (ETFA, 2015)

Large-scale traffic grid signal control with regional Reinforcement Learning. - Tianshu Chu; Shuhui Qu; Jie Wang 006 (ACC, 2016)

Large-scale multi-agent reinforcement learning using image-based state representation. - Tianshu Chu; Shuhui Qu; Jie Wang 006 (CDC, 2016)

Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach. - Shuhui Qu; Jie Wang 006; Govil Shivani (ETFA, 2016)

Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms. - Shuhui Qu; Juncheng Li 001; Wei Dai; Samarjit Das (CoRR, 2016)

Learning Filter Banks Using Deep Learning For Acoustic Signals. - Shuhui Qu; Juncheng Li 001; Wei Dai; Samarjit Das (CoRR, 2016)

Very deep convolutional neural networks for raw waveforms. - Wei Dai; Chia Dai; Shuhui Qu; Juncheng Li 001; Samarjit Das (ICASSP, 2017)

A comparison of Deep Learning methods for environmental sound detection. - Juncheng Li 001; Wei Dai; Florian Metze; Shuhui Qu; Samarjit Das (ICASSP, 2017)

A Comparison of deep learning methods for environmental sound. - Juncheng Li 001; Wei Dai; Florian Metze; Shuhui Qu; Samarjit Das (CoRR, 2017)

Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning. - Shuhui Qu; Jie Wang 006; Jürgen Jasperneite (ETFA, 2018)

Dynamic scheduling in modern processing systems using expert-guided distributed reinforcement learning. - Shuhui Qu; Jie Wang 006; Jürgen Jasperneite (ETFA, 2019)

Adversarial Music: Real world Audio Adversary against Wake-word Detection System. - Juncheng Li 001; Shuhui Qu; Xinjian Li; Joseph Szurley; J. Zico Kolter; Florian Metze (NeurIPS, 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)

Multi-Agent Context-Aware Dynamic-Scheduling for Large-scale Processing Networks. - Shuhui Qu; Yirong Chen; Jürgen Jasperneite; Michael D. Lepech; Jie Wang 006 (ETFA, 2020)

Audio-Visual Event Recognition Through the Lens of Adversary. - Juncheng B. Li; Kaixin Ma; Shuhui Qu; Po-Yao Huang 001; Florian Metze (ICASSP, 2021)

Efficient Multi-Modal Fusion with Diversity Analysis. - Shuhui Qu; Yan Kang 004; Janghwan Lee (ACM Multimedia, 2021)

On Adversarial Robustness Of Large-Scale Audio Visual Learning. - Juncheng B. Li; Shuhui Qu; Xinjian Li; Bernie Po-Yao Huang; Florian Metze (ICASSP, 2022)

AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification. - Juncheng Li 001; Shuhui Qu; Po-Yao Huang 001; Florian Metze (INTERSPEECH, 2022)

Robustness of Neural Architectures for Audio Event Detection. - Juncheng B. Li; Shuhui Qu; Florian Metze (CoRR, 2022)

SQuAT: Sharpness- and Quantization-Aware Training for BERT. - Zheng Wang; Juncheng B. Li; Shuhui Qu; Florian Metze; Emma Strubell (CoRR, 2022)

Error-aware Quantization through Noise Tempering. - Zheng Wang; Juncheng B. Li; Shuhui Qu; Florian Metze; Emma Strubell (CoRR, 2022)

SHAPNN: Shapley Value Regularized Tabular Neural Network. - Qisen Cheng; Shuhui Qu; Janghwan Lee (CoRR, 2023)

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. - Qisen Cheng; Shuhui Qu; Janghwan Lee (ICTAI, 2024)

Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching. - Akshay Subramanian; Shuhui Qu; Cheol Woo Park; Sulin Liu; Janghwan Lee; Rafael Gómez-Bombarelli (CoRR, 2024)