A survey of model compression and acceleration for deep neural networks Y Cheng, D Wang, P Zhou, T Zhang arXiv preprint arXiv:1710.09282, 2017 | 1007 | 2017 |
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 | 852 | 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 | 456 | 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 | 431 | 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 | 339 | 2017 |
Sentiment analysis using convolutional neural network X Ouyang, P Zhou, CH Li, L Liu 2015 IEEE international conference on computer and information technology …, 2015 | 216 | 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 | 170 | 2017 |
CLU-CNNs: Object detection for medical images Z Li, M Dong, S Wen, X Hu, P Zhou, Z Zeng Neurocomputing 350, 53-59, 2019 | 144 | 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 | 127 | 2018 |
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 | 116 | 2020 |
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 | 105 | 2019 |
Robust discrete code modeling for supervised hashing Y Luo, Y Yang, F Shen, Z Huang, P Zhou, HT Shen Pattern Recognition 75, 128-135, 2018 | 105 | 2018 |
A convolutional neural network for leaves recognition using data augmentation C Zhang, P Zhou, C Li, L Liu 2015 IEEE International Conference on Computer and Information Technology …, 2015 | 102 | 2015 |
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 | 93 | 2020 |
Joint power and rate control in cognitive radio networks: A game-theoretical approach P Zhou, W Yuan, W Liu, W Cheng 2008 IEEE International Conference on Communications, 3296-3301, 2008 | 92 | 2008 |
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 | 91 | 2019 |
Differentially private online learning for cloud-based video recommendation with multimedia big data in social networks P Zhou, Y Zhou, D Wu, H Jin IEEE transactions on multimedia 18 (6), 1217-1229, 2016 | 90 | 2016 |
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 | 88 | 2019 |
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 | 86 | 2021 |
Reinforcement learning for repeated power control game in cognitive radio networks P Zhou, Y Chang, JA Copeland IEEE Journal on Selected Areas in Communications 30 (1), 54-69, 2011 | 85 | 2011 |