| Plasmon-enhanced solar vapor generation J Liang, H Liu, J Yu, L Zhou, J Zhu Nanophotonics 8 (5), 771-786, 2019 | 101 | 2019 |
| Solar thermophotovoltaics: Progress, challenges, and opportunities Y Wang, H Liu, J Zhu APL Materials 7 (8), 2019 | 74 | 2019 |
| Privacy-preserving power consumption prediction based on federated learning with cross-entity data H Liu, X Zhang, X Shen, H Sun 2022 34th Chinese Control and Decision Conference (CCDC), 181-186, 2022 | 46* | 2022 |
| A data-driven approach towards fast economic dispatch in electricity–gas coupled systems based on artificial neural network H Liu, X Shen, Q Guo, H Sun Applied Energy 286, 116480, 2021 | 32 | 2021 |
| Solar thermal utilizations revived by advanced solar evaporation X Liu, H Liu, X Yu, L Zhou, J Zhu Current Opinion in Chemical Engineering 25, 26-34, 2019 | 29 | 2019 |
| Tamm plasmon enabled narrowband thermal emitter for solar thermophotovoltaics Z Lin, H Liu, T Qiao, G Hou, H Liu, J Xu, J Zhu, L Zhou Solar Energy Materials and Solar Cells 238, 111589, 2022 | 15 | 2022 |
| Application of modified progressive hedging for stochastic unit commitment in electricity-gas coupled systems H Liu, X Shen, Q Guo, H Sun, M Shahidehpour, W Zhao, X Zhao CSEE Journal of Power and Energy Systems 7 (4), 840-849, 2020 | 12 | 2020 |
| A hybrid federated learning framework with dynamic task allocation for multi-party distributed load prediction H Liu, X Zhang, X Shen, H Sun, M Shahidehpour IEEE Transactions on Smart Grid 14 (3), 2460-2472, 2022 | 11* | 2022 |
| Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning S Tao, H Liu, C Sun, H Ji, G Ji, Z Han, R Gao, J Ma, R Ma, Y Chen, S Fu, ... Nature Communications 14 (1), 8032, 2023 | 8 | 2023 |
| A data-driven warm start approach for convex relaxation in optimal gas flow H Liu, L Yang, X Shen, Q Guo, H Sun, M Shahidehpour IEEE Transactions on Power Systems 36 (6), 5948-5951, 2021 | 6 | 2021 |
| Boosted multi-task learning for inter-district collaborative load forecasting H Liu, X Zhang, H Sun, M Shahidehpour IEEE Transactions on Smart Grid, 2023 | 4 | 2023 |
| Large‐disturbance stability analysis method based on mixed potential function for AC/DC hybrid distribution network with PET W Zhao, J Zheng, Z Han, H Liu IET Generation, Transmission & Distribution 14 (18), 3802-3813, 2020 | 2 | 2020 |
| Stochastic Day-Ahead Scheduling of ElectricityGas Coupled Systems via Progressive Hedging H Liu, X Shen, H Sun, W Zhao 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 64-69, 2020 | | 2020 |
| 基于等离激元微纳结构的太阳能界面光蒸汽转换 刘海舟， 喻小强， 李金磊， 徐凝， 周林， 朱嘉 Chinese Science Bulletin 63, 1404, 2018 | | 2018 |
Xinwei Shen，沈欣炜Tsinghua Shenzhen International Graduate School(SIGS), Tsinghua University, 清华大学深圳国际研究生院Verified email at sz.tsinghua.edu.cn
