| A hybrid model for PM2. 5 forecasting based on ensemble empirical mode decomposition and a general regression neural network Q Zhou, H Jiang, J Wang, J Zhou Science of the Total Environment 496, 264-274, 2014 | 328 | 2014 |
| Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China J Wang, S Qin, Q Zhou, H Jiang Renewable Energy 76, 91-101, 2015 | 162 | 2015 |
| China’s natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model J Wang, H Jiang, Q Zhou, J Wu, S Qin Renewable and Sustainable Energy Reviews 53, 1149-1167, 2016 | 117 | 2016 |
| Comparison of numerical methods and metaheuristic optimization algorithms for estimating parameters for wind energy potential assessment in low wind regions H Jiang, J Wang, J Wu, W Geng Renewable and Sustainable Energy Reviews 69, 1199-1217, 2017 | 103 | 2017 |
| Short‐Term Wind Speed Forecasting Using Support Vector Regression Optimized by Cuckoo Optimization Algorithm J Wang, Q Zhou, H Jiang, R Hou Mathematical Problems in Engineering 2015 (1), 619178, 2015 | 50 | 2015 |
| G-LIME: Statistical learning for local interpretations of deep neural networks using global priors X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou Artificial Intelligence 314, 103823, 2023 | 28 | 2023 |
| An experimental investigation of FNN model for wind speed forecasting using EEMD and CS J Wang, H Jiang, B Han, Q Zhou Mathematical Problems in Engineering 2015 (1), 464153, 2015 | 14 | 2015 |
| A unified optimization framework of ANN-SNN Conversion: towards optimal mapping from activation values to firing rates H Jiang, S Anumasa, G De Masi, H Xiong, B Gu The Fortieth International Conference on Machine Learning (ICML 2023) 202 …, 2023 | 11 | 2023 |
| AutoMS: automatic model selection for novelty detection with error rate control Y Zhang, H Jiang, H Ren, C Zou, D Dou Advances in Neural Information Processing Systems 35, 19917-19929, 2022 | 4 | 2022 |
| Analysis of collective response reveals that covid-19-related activities start from the end of 2019 in mainland china J Liu, T Huang, H Xiong, J Huang, J Zhou, H Jiang, G Yang, H Wang, ... medRxiv, 2020.10. 14.20202531, 2020 | 4 | 2020 |
| Comparative Study of Numerical Methods and Swarm Intelligence Algorithms on Optimizing Low Wind Speed Distribution Models - 数值法与群智能算法在低风速分布模型优化中的对比研究 姜海燕 https://ir.lzu.edu.cn/handle/262010/224692, 2015 | 3* | 2015 |
| Feature Grouping and Sparse Principal Component Analysis with Truncated Regularization H Jiang, S Qin, OHM Padilla arXiv preprint arXiv:2106.13685, 2022 | 1 | 2022 |
| AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow H Jiang, H Xiong, D Wu, J Liu, D Dou Machine Learning 110 (8), 2131-2150, 2021 | 1 | 2021 |
| Robust Matrix Factorization with Grouping Effect H Jiang, S Li, L Zhang, H Xiong, D Dou arXiv preprint arXiv:2106.13681, 2021 | 1 | 2021 |
| G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22705 …, 2024 | | 2024 |
| NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks H Jiang, G De Masi, H Xiong, B Gu Forty-first International Conference on Machine Learning (ICML 2024), 2024 | | 2024 |
| TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks H Jiang, V Zoonekynd, G De Masi, B Gu, H Xiong The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | | 2024 |
| Determining the number of change‐point via high‐dimensional cross‐validation H Jiang, J Li, Z Li Stat 9 (1), e284, 2020 | | 2020 |
