| Enlightengan: Deep light enhancement without paired supervision Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ... IEEE transactions on image processing 30, 2340-2349, 2021 | 2699 | 2021 |
| Model compression and acceleration for deep neural networks: The principles, progress, and challenges Y Cheng, D Wang, P Zhou, T Zhang IEEE Signal Processing Magazine 35 (1), 126-136, 2018 | 2454* | 2018 |
| Joint service caching and task offloading for mobile edge computing in dense networks J Xu, L Chen, P Zhou IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 207-215, 2018 | 656 | 2018 |
| Jointly attentive spatial-temporal pooling networks for video-based person re-identification S Xu, Y Cheng, K Gu, Y Yang, S Chang, P Zhou Proceedings of the IEEE international conference on computer vision, 4733-4742, 2017 | 420 | 2017 |
| Multi-agent deep reinforcement learning for urban traffic light control in vehicular networks T Wu, P Zhou, K Liu, Y Yuan, X Wang, H Huang, DO Wu IEEE Transactions on Vehicular Technology 69 (8), 8243-8256, 2020 | 341 | 2020 |
| Sentiment analysis using convolutional neural network X Ouyang, P Zhou, CH Li, L Liu 2015 IEEE international conference on computer and information technology …, 2015 | 335 | 2015 |
| Early diagnosis of Alzheimer's disease based on resting-state brain networks and deep learning R Ju, C Hu, Q Li IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017 | 308 | 2017 |
| Client selection for federated learning with non-iid data in mobile edge computing W Zhang, X Wang, P Zhou, W Wu, X Zhang IEEE Access 9, 24462-24474, 2021 | 263 | 2021 |
| MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark D Chen, R Chen, S Zhang, Y Liu, Y Wang, H Zhou, Q Zhang, Y Wan, ... ICML 2024 Oral, 2024 | 254 | 2024 |
| CLU-CNNs: Object detection for medical images Z Li, M Dong, S Wen, X Hu, P Zhou, Z Zeng Neurocomputing 350, 53-59, 2019 | 242 | 2019 |
| Routing and scheduling for hybrid truck-drone collaborative parcel delivery with independent and truck-carried drones D Wang, P Hu, J Du, P Zhou, T Deng, M Hu IEEE Internet of Things Journal 6 (6), 10483-10495, 2019 | 235 | 2019 |
| Early fault detection approach with deep architectures W Lu, Y Li, Y Cheng, D Meng, B Liang, P Zhou IEEE Transactions on instrumentation and measurement 67 (7), 1679-1689, 2018 | 217 | 2018 |
| Federated mutual learning T Shen, J Zhang, X Jia, F Zhang, G Huang, P Zhou, K Kuang, F Wu, C Wu arXiv preprint arXiv:2006.16765, 2020 | 212 | 2020 |
| Multiagent deep reinforcement learning for joint multichannel access and task offloading of mobile-edge computing in industry 4.0 Z Cao, P Zhou, R Li, S Huang, D Wu IEEE Internet of Things Journal 7 (7), 6201-6213, 2020 | 210 | 2020 |
| Context-aware biaffine localizing network for temporal sentence grounding D Liu, X Qu, J Dong, P Zhou, Y Cheng, W Wei, Z Xu, Y Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 206 | 2021 |
| A hybrid genetic algorithm on routing and scheduling for vehicle-assisted multi-drone parcel delivery K Peng, J Du, F Lu, Q Sun, Y Dong, P Zhou, M Hu Ieee Access 7, 49191-49200, 2019 | 190 | 2019 |
| Collaborative service placement for edge computing in dense small cell networks L Chen, C Shen, P Zhou, J Xu IEEE Transactions on Mobile Computing 20 (2), 377-390, 2019 | 182 | 2019 |
| GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare Z Wang, N Luo, P Zhou Journal of Parallel and Distributed Computing 142, 1-12, 2020 | 171 | 2020 |
| Jointly cross-and self-modal graph attention network for query-based moment localization D Liu, X Qu, XY Liu, J Dong, P Zhou, Z Xu Proceedings of the 28th ACM International Conference on Multimedia, 4070-4078, 2020 | 163 | 2020 |
| Metatool benchmark for large language models: Deciding whether to use tools and which to use Y Huang, J Shi, Y Li, C Fan, S Wu, Q Zhang, Y Liu, P Zhou, Y Wan, ... arXiv preprint arXiv:2310.03128, 2023 | 149 | 2023 |
