A deep learning method for short-term residential load forecasting in smart grid Y Hong, Y Zhou, Q Li, W Xu, X Zheng IEEE Access 8, 55785-55797, 2020 | 149 | 2020 |
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Y Zhou, X Song, Y Zhang, F Liu, C Zhu, L Liu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 107 | 2022 |
Evading anti-malware engines with deep reinforcement learning Z Fang, J Wang, B Li, S Wu, Y Zhou, H Huang IEEE Access 7, 48867-48879, 2019 | 93 | 2019 |
Nonredundant information collection in rescue applications via an energy-constrained UAV Y Liang, W Xu, W Liang, J Peng, X Jia, Y Zhou, L Duan IEEE Internet of Things Journal 6 (2), 2945-2958, 2018 | 53 | 2018 |
Deep anomaly detection in packet payload J Liu, X Song, Y Zhou, X Peng, Y Zhang, P Liu, D Wu, C Zhu Neurocomputing 485, 205-218, 2022 | 52 | 2022 |
Energy storage analysis of UIO-66 and water mixed nanofluids: an experimental and theoretical study Y Zhou, Q Li, Q Wang Energies 12 (13), 2521, 2019 | 46 | 2019 |
Evaporation of R32/R152a mixtures on the Pt surface: A molecular dynamics study S Cai, Q Li, C Liu, Y Zhou International Journal of Refrigeration 113, 156-163, 2020 | 45 | 2020 |
Demographic information prediction: A portrait of smartphone application users Z Qin, Y Wang, H Cheng, Y Zhou, Z Sheng, VCM Leung IEEE Transactions on Emerging Topics in Computing 6 (3), 432-444, 2016 | 44 | 2016 |
Large-scale IP network behavior anomaly detection and identification using substructure-based approach and multivariate time series mining W He, G Hu, Y Zhou Telecommunication Systems 50 (1), 1-13, 2012 | 31 | 2012 |
Demographic information prediction based on smartphone application usage Z Qin, Y Wang, Y Xia, H Cheng, Y Zhou, Z Sheng, VCM Leung 2014 International Conference on Smart Computing, 183-190, 2014 | 28 | 2014 |
Plug-in Electric Vehicle Charging With Multiple Charging Options: A Systematic Analysis of Service Providers’ Pricing Strategies Y Zhang, Y Zhou, C Jiang, Y Wang, R Zhang, G Chen IEEE Transactions on Smart Grid 12 (1), 524-537, 2020 | 25 | 2020 |
Ground Truth-Free 3-D Seismic Random Noise Attenuation via Deep Tensor Convolutional Neural Networks in the Time-Frequency Domain F Qian, Z Liu, Y Wang, Y Zhou, G Hu IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 21 | 2022 |
Using graph to detect network traffic anomaly Y Zhou, G Hu, W He 2009 International Conference on Communications, Circuits and Systems, 341-345, 2009 | 18 | 2009 |
Unsupervised seismic footprint removal with physical prior augmented deep autoencoder F Qian, Y Yue, Y He, H Yu, Y Zhou, J Tang, G Hu IEEE Transactions on Geoscience and Remote Sensing 61, 1-20, 2023 | 17 | 2023 |
Global-Attention-Based Neural Networks for Vision Language Intelligence P Liu, Y Zhou, D Peng, D Wu IEEE/CAA Journal of Automatica Sinica 8 (7), 1243-1252, 2020 | 17 | 2020 |
Approximation algorithms for the min-max cycle cover problem with neighborhoods L Deng, W Xu, W Liang, J Peng, Y Zhou, L Duan, SK Das IEEE/ACM Transactions on Networking 28 (4), 1845-1858, 2020 | 17 | 2020 |
Prediction of critical properties and boiling point of fluorine/chlorine-containing refrigerants Q Li, J Ren, Y Liu, Y Zhou International Journal of Refrigeration 143, 28-36, 2022 | 16 | 2022 |
Unsupervised deep learning for IoT time series Y Liu, Y Zhou, K Yang, X Wang IEEE Internet of Things Journal 10 (16), 14285-14306, 2023 | 15 | 2023 |
Robust Traffic Prediction From Spatial–Temporal Data Based on Conditional Distribution Learning Z Zeng, W Zhao, P Qian, Y Zhou, Z Zhao, C Chen, C Guan IEEE Transactions on Cybernetics 52 (12), 13458-13471, 2021 | 15 | 2021 |
A3CMal: Generating adversarial samples to force targeted misclassification by reinforcement learning Z Fang, J Wang, J Geng, Y Zhou, X Kan Applied Soft Computing 109, 107505, 2021 | 13 | 2021 |