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2020 – today
- 2024
[c16]Qisen Cheng, Shuhui Qu, Janghwan Lee:
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. ICTAI 2024: 586-592- [i13]Akshay Subramanian, Shuhui Qu, Cheol Woo Park, Sulin Liu, Janghwan Lee, Rafael Gómez-Bombarelli:
Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching. CoRR abs/2410.07539 (2024) - 2023
- [i12]Qisen Cheng, Shuhui Qu, Janghwan Lee:
SHAPNN: Shapley Value Regularized Tabular Neural Network. CoRR abs/2309.08799 (2023) - 2022
- [c15]Juncheng B. Li, Shuhui Qu, Xinjian Li, Bernie Po-Yao Huang, Florian Metze:
On Adversarial Robustness Of Large-Scale Audio Visual Learning. ICASSP 2022: 231-235 - [c14]Juncheng Li, Shuhui Qu, Po-Yao Huang, Florian Metze:
AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification. INTERSPEECH 2022: 1521-1525 - [i11]Juncheng B. Li, Shuhui Qu, Xinjian Li, Po-Yao Huang, Florian Metze:
On Adversarial Robustness of Large-scale Audio Visual Learning. CoRR abs/2203.12122 (2022) - [i10]Juncheng B. Li, Shuhui Qu, Po-Yao Huang, Florian Metze:
AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification. CoRR abs/2203.13448 (2022) - [i9]Juncheng B. Li, Shuhui Qu, Florian Metze:
Robustness of Neural Architectures for Audio Event Detection. CoRR abs/2205.03268 (2022) - [i8]Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell:
SQuAT: Sharpness- and Quantization-Aware Training for BERT. CoRR abs/2210.07171 (2022) - [i7]Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell:
Error-aware Quantization through Noise Tempering. CoRR abs/2212.05603 (2022) - 2021
- [c13]Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze:
Audio-Visual Event Recognition Through the Lens of Adversary. ICASSP 2021: 616-620 - [c12]Shuhui Qu, Yan Kang, Janghwan Lee:
Efficient Multi-Modal Fusion with Diversity Analysis. ACM Multimedia 2021: 2663-2670 - 2020
- [c11]Shuhui Qu, Yirong Chen, Jürgen Jasperneite
, Michael D. Lepech, Jie Wang:
Multi-Agent Context-Aware Dynamic-Scheduling for Large-scale Processing Networks. ETFA 2020: 1213-1216 - [i6]Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze:
Audio-Visual Event Recognition through the lens of Adversary. CoRR abs/2011.07430 (2020)
2010 – 2019
- 2019
- [c10]Shuhui Qu, Jie Wang, Jürgen Jasperneite:
Dynamic scheduling in modern processing systems using expert-guided distributed reinforcement learning. ETFA 2019: 459-466 - [c9]Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze:
Adversarial Music: Real world Audio Adversary against Wake-word Detection System. NeurIPS 2019: 11908-11918 - [i5]Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze:
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. CoRR abs/1911.00126 (2019) - 2018
- [c8]Shuhui Qu, Jie Wang, Jürgen Jasperneite:
Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning. ETFA 2018: 433-440 - 2017
- [c7]Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das:
A comparison of Deep Learning methods for environmental sound detection. ICASSP 2017: 126-130 - [c6]Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das:
Very deep convolutional neural networks for raw waveforms. ICASSP 2017: 421-425 - [i4]Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das:
A Comparison of deep learning methods for environmental sound. CoRR abs/1703.06902 (2017) - 2016
- [c5]Tianshu Chu, Shuhui Qu, Jie Wang:
Large-scale traffic grid signal control with regional Reinforcement Learning. ACC 2016: 815-820 - [c4]Tianshu Chu, Shuhui Qu, Jie Wang:
Large-scale multi-agent reinforcement learning using image-based state representation. CDC 2016: 7592-7597 - [c3]Shuhui Qu, Jie Wang, Govil Shivani:
Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach. ETFA 2016: 1-8 - [i3]Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das:
Very Deep Convolutional Neural Networks for Raw Waveforms. CoRR abs/1610.00087 (2016) - [i2]Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das:
Understanding Audio Pattern Using Convolutional Neural Network From Raw Waveforms. CoRR abs/1611.09524 (2016) - [i1]Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das:
Learning Filter Banks Using Deep Learning For Acoustic Signals. CoRR abs/1611.09526 (2016) - 2015
- [c2]Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian:
A centralized reinforcement learning approach for proactive scheduling in manufacturing. ETFA 2015: 1-8 - 2014
- [c1]Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan:
Comuptional reasoning and learning for smart manufacturing under realistic conditions. BESC 2014: 182-189
Coauthor Index
aka: Juncheng B. Li
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