| Microservice deployment in edge computing based on deep Q learning W Lv, Q Wang, P Yang, Y Ding, B Yi, Z Wang, C Lin IEEE Transactions on Parallel and Distributed Systems 33 (11), 2968-2978, 2022 | 41 | 2022 |
| Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing W Lv, P Yang, T Zheng, C Lin, Z Wang, M Deng, Q Wang IEEE Internet of Things Journal 11 (1), 1604-1615, 2023 | 5 | 2023 |
| Efficient and accurate compound scaling for convolutional neural networks C Lin, P Yang, Q Wang, Z Qiu, W Lv, Z Wang Neural Networks 167, 787-797, 2023 | 4 | 2023 |
| Energy-efficient and QoS-aware computation offloading in GEO/LEO hybrid satellite networks W Lv, P Yang, Y Ding, Z Wang, C Lin, Q Wang Remote Sensing 15 (13), 3299, 2023 | 3 | 2023 |
| Flexi-BOPI: Flexible Granularity Pipeline Inference with Bayesian Optimization for Deep Learning Models on HMPSoC Z Wang, P Yang, B Zhang, L Hu, W Lv, C Lin, Q Wang Information Sciences, 120984, 2024 | | 2024 |
| Fine-Grained Complexity-Driven Latency Predictor in Hardware-Aware Neural Architecture Search using Composite Loss C Lin, P Yang, C Li, F Cheng, W Lv, Z Wang, Q Wang Information Sciences, 120783, 2024 | | 2024 |
| SLAPP: Subgraph-level attention-based performance prediction for deep learning models Z Wang, P Yang, L Hu, B Zhang, C Lin, W Lv, Q Wang Neural Networks 170, 285-297, 2024 | | 2024 |
| Performance Prediction for Deep Learning Models with Pipeline Inference Strategy Z Wang, P Yang, B Zhang, L Hu, W Lv, C Lin, C Zhang, Q Wang IEEE Internet of Things Journal, 2023 | | 2023 |
| QANS: Toward Quantized Neural Network Adversarial Noise Suppression C Lin, F Cheng, P Yang, T He, J Liang, Q Wang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023 | | 2023 |
