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2020 – today
- 2024
[j7]Jinjie Liu
, Guolong Liu, Huan Zhao, Junhua Zhao, Jing Qiu, Zhao Yang Dong:
Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data. Eng. Appl. Artif. Intell. 127(Part B): 107272 (2024)- [j6]Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong:
Applying Large Language Models to Power Systems: Potential Security Threats. IEEE Trans. Smart Grid 15(3): 3333-3336 (2024) - [j5]Zifan Liu, Huan Zhao, Guolong Liu, Gaoqi Liang, Junhua Zhao, Jing Qiu:
Risk-Sensitive Mobile Battery Energy Storage System Control With Deep Reinforcement Learning and Hybrid Risk Estimation Method. IEEE Trans. Smart Grid 15(4): 4143-4158 (2024) - [i4]Yuji Cao, Huan Zhao, Yuheng Cheng, Ting Shu, Guolong Liu, Gaoqi Liang, Junhua Zhao, Yun Li:
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. CoRR abs/2404.00282 (2024) - [i3]Xiyuan Zhou, Huan Zhao, Yuheng Cheng, Yuji Cao, Gaoqi Liang, Guolong Liu, Junhua Zhao:
ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models. CoRR abs/2407.05365 (2024) - 2023
- [j4]Guolong Liu, Jinjie Liu, Junhua Zhao, Jing Qiu, Yiru Mao, Zhanxin Wu, Fushuan Wen:
Real-Time Corporate Carbon Footprint Estimation Methodology Based on Appliance Identification. IEEE Trans. Ind. Informatics 19(2): 1401-1412 (2023) - [c6]Guolong Liu, Wei Hu, Fan Zhang:
Pixel-Level Annotation of Specific Targets for Large-Scale Remote Sensing Images. IGARSS 2023: 6374-6377 - [i2]Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Jing Qiu, Junhua Zhao, Zhao Xu, Fushuan Wen, Zhao Yang Dong:
Applying Large Language Models to Power Systems: Potential Security Threats. CoRR abs/2311.13361 (2023) - 2020
- [j3]Guolong Liu, Jinjin Gu, Junhua Zhao, Fushuan Wen, Gaoqi Liang:
Super Resolution Perception for Smart Meter Data. Inf. Sci. 526: 263-273 (2020)
2010 – 2019
- 2018
- [i1]Jinjin Gu, Guolong Liu, Gaoqi Liang, Junhua Zhao:
Super-Resolution Perception for Industrial Sensor Data. CoRR abs/1809.06687 (2018) - 2017
- [j2]Jinliang Liu, Liang Xiao, Guolong Liu, Yifeng Zhao:
Active authentication with reinforcement learning based on ambient radio signals. Multim. Tools Appl. 76(3): 3979-3998 (2017) - 2016
- [j1]Liang Xiao, Yan Li, Guoan Han, Guolong Liu, Weihua Zhuang:
PHY-Layer Spoofing Detection With Reinforcement Learning in Wireless Networks. IEEE Trans. Veh. Technol. 65(12): 10037-10047 (2016) - [c5]Guolong Liu, Xiaofei Xu, Bailong Deng, Siding Chen, Li Li:
A hybrid method for bilingual text sentiment classification based on deep learning. SNPD 2016: 93-98 - 2015
- [c4]Liang Xiao, Yan Li, Guolong Liu, Qiangda Li, Weihua Zhuang:
Spoofing Detection with Reinforcement Learning in Wireless Networks. GLOBECOM 2015: 1-5 - [c3]Guolong Liu, Jinliang Liu, Yan Li, Liang Xiao, Yuliang Tang:
Jamming Detection of Smartphones for WiFi Signals. VTC Spring 2015: 1-3 - 2014
- [c2]Guolong Liu, Xiaofei Xu, Ying Zhu, Li Li:
An Improved Latent Dirichlet Allocation Model for Hot Topic Extraction. BDCloud 2014: 470-476 - 2011
- [c1]Fengying Xu, Guolong Liu, Xiangjun Zou, Zhen Chen, Ce Xu:
Dynamic Simulation of Litchi Fruit Flexible Manipulator in Picking Process. ICDMA 2011: 475-479
Coauthor Index
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