| 2025 | EMNLP | A Category-Theoretic Approach to Neural-Symbolic Task Planning with Bidirectional Search. | Shuhui Qu, Jie Wang, Kincho Law |
| 2024 | ICTAI | Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. | Qisen Cheng, Shuhui Qu, Janghwan Lee |
| 2022 | ICASSP | On Adversarial Robustness Of Large-Scale Audio Visual Learning. | Juncheng B. Li, Shuhui Qu, Xinjian Li, Bernie Po-Yao Huang, Florian Metze |
| 2022 | Interspeech | AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification. | Juncheng Li, Shuhui Qu, Po-Yao Huang, Florian Metze |
| 2021 | ICASSP | Audio-Visual Event Recognition Through the Lens of Adversary. | Juncheng B. Li, Kaixin Ma, Shuhui Qu, Po-Yao Huang, Florian Metze |
| 2020 | ETFA | Multi-Agent Context-Aware Dynamic-Scheduling for Large-scale Processing Networks. | Shuhui Qu, Yirong Chen, Jrgen Jasperneite, Michael D. Lepech, Jie Wang |
| 2019 | ETFA | Dynamic scheduling in modern processing systems using expert-guided distributed reinforcement learning. | Shuhui Qu, Jie Wang, Jrgen Jasperneite |
| 2018 | ETFA | Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning. | Shuhui Qu, Jie Wang, Jrgen Jasperneite |
| 2017 | ICASSP | Very deep convolutional neural networks for raw waveforms. | Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das |
| 2017 | ICASSP | A comparison of Deep Learning methods for environmental sound detection. | Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das |
| 2016 | ETFA | Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach. | Shuhui Qu, Jie Wang, Govil Shivani |
| 2015 | ETFA | A centralized reinforcement learning approach for proactive scheduling in manufacturing. | Shuhui Qu, Tianshu Chu, Jie Wang, James O. Leckie, Weiwen Jian |