| Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion R Li, X Wu, H Tian, N Yu, C Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-20, 2022 | 73 | 2022 |
| VOS: A new outlier detection model using virtual graph C Wang, Z Liu, H Gao, Y Fu Knowledge-Based Systems 185, 104907, 2019 | 46 | 2019 |
| Non-intrusive load monitoring using factorial hidden markov model based on adaptive density peak clustering Z Wu, C Wang, W Peng, W Liu, H Zhang Energy and Buildings 244, 111025, 2021 | 40 | 2021 |
| A New Outlier Detection Model Using Random Walk on Local Information Graph C Wang, H Gao, Z Liu, Y Fu IEEE Access 6, 75531-75544, 2018 | 26 | 2018 |
| Towards link inference attack against network structure perturbation X Xian, T Wu, Y Liu, W Wang, C Wang, G Xu, Y Xiao Knowledge-Based Systems 218, 106674, 2021 | 18 | 2021 |
| A time-efficient factorial hidden Semi-Markov model for non-intrusive load monitoring Z Wu, C Wang, H Zhang, W Peng, W Liu Electric Power Systems Research 199, 107372, 2021 | 17 | 2021 |
| DeepEC: Adversarial attacks against graph structure prediction models X Xian, T Wu, S Qiao, W Wang, C Wang, Y Liu, G Xu Neurocomputing 437, 168-185, 2021 | 17 | 2021 |
| Applying Anomaly Pattern Score for Outlier Detection C Wang, Z Liu, H Gao, Y Fu IEEE Access 7, 16008-16020, 2019 | 13 | 2019 |
| Discrete specified time consensus control of aggregated energy storage for load frequency regulation L Xiong, S Yang, P Li, S Huang, C Wang, J Wang International Journal of Electrical Power & Energy Systems 123, 106224, 2020 | 11 | 2020 |
| Adaptive modeling for Non-Intrusive Load Monitoring C Wang, Z Wu, W Peng, W Liu, L Xiong, T Wu, L Yu, H Zhang International Journal of Electrical Power & Energy Systems 140, 107981, 2022 | 10 | 2022 |
| Using Wavelet Packet Denoising and A Regularized ELM Algorithm Based on The LOO Approach for Transient Electromagnetic Inversion R Li, C Wang, H Zhang, C Guo, Z Wu IEEE Transactions on Geoscience and Remote Sensing, 2022 | 8 | 2022 |
| Heterogeneous representation learning and matching for few-shot relation prediction T Wu, H Ma, C Wang, S Qiao, L Zhang, S Yu Pattern Recognition 131, 108830, 2022 | 7 | 2022 |
| NEW: A generic learning model for tie strength prediction in networks Z Liu, H Li, C Wang Neurocomputing 406, 282-292, 2020 | 7 | 2020 |
| Adaptive Droop Gain-Based Event-Triggered Consensus Reactive Power Sharing in Microgrids L Xiong, P Li, C Wang, S Huang, J Wang Energies 13 (5), 1152, 2020 | 6 | 2020 |
| Outlier Detection Using Diverse Neighborhood Graphs C Wang, H Gao, Z Liu, Y Fu 2018 15th International Computer Conference on Wavelet Active Media …, 2018 | 6 | 2018 |
| Generative Graph Neural Networks for Link Prediction X Xian, T Wu, X Ma, S Qiao, Y Shao, C Wang, L Yuan, Y Wu arXiv preprint arXiv:2301.00169, 2022 | 5 | 2022 |
| Detecting the novel appliance in non-intrusive load monitoring X Guo, C Wang, T Wu, R Li, H Zhu, H Zhang Applied Energy 343, 121193, 2023 | 3 | 2023 |
| Enhancing robustness of link prediction for noisy complex networks X Chen, T Wu, X Xian, C Wang, Y Yuan, G Ming Physica A: Statistical Mechanics and its Applications 555, 124544, 2020 | 3 | 2020 |
| Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts YH An, Q Dong, Q Yuan, C Wang IEEE Access 8, 64422-64433, 2020 | 3 | 2020 |
| A model-driven approach for fast modeling of three-dimensional laser point cloud in large substation R Li, L Gan, Y Liu, Y Di, C Wang Scientific Reports 13 (1), 16092, 2023 | 1 | 2023 |
Tao Wu (吴涛)UESTC; CQUPTVerified email at std.uestc.edu.cn
