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Jinhao Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j3]Mingxia Jia, Yuxiang (Chris) Zhao, Shijie Song, Xiaoyu Zhang, Dawei Wu, Jinhao Li:
How vicarious learning increases users' knowledge adoption in live streaming: The roles of parasocial interaction, social media affordances, and knowledge consensus. Inf. Process. Manag. 61(2): 103599 (2024) - [i9]Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang:
Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information. CoRR abs/2401.15848 (2024) - [i8]Jinhao Li, Changlong Wang, Hao Wang:
Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets. CoRR abs/2401.15853 (2024) - [i7]Jinhao Li, Changlong Wang, Yanru Zhang, Hao Wang:
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets. CoRR abs/2402.19110 (2024) - 2023
- [j2]Yuliang Zhao, Qijun Xiao, Jinhao Li, Kaixuan Tian, Le Yang, Peng Shan, Xiaoyong Lv, Lianjiang Li, Zhikun Zhan:
Review on image-based animals weight weighing. Comput. Electron. Agric. 215: 108456 (2023) - [c7]Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. e-Energy 2023: 14-21 - [c6]Xinyi Xu, Hongchao Zhang, Chuanpeng Jiang, Jinhao Li, Shiyang Lu, Yunpeng Li, Honglei Du, Xueying Zhang, Zhaohao Wang, Kaihua Cao, Weisheng Zhao, Shuqin Lyu, Hao Xu, Bonian Jiang, Le Wang, Bowen Man, Cong Zhang, Dandan Li, Shuhui Li, Xiaofei Fan, Gefei Wang, Hong-xi Liu:
Full reliability characterization of three-terminal SOT-MTJ devices and corresponding arrays. IRPS 2023: 1-6 - [c5]Junkai Jiang, Zeyu Han, Jinhao Li, Yuning Wang, Jianqiang Wang, Shaobing Xu:
Global Path Planning of UGVs in Large-Scale Off-Road Environment Based on Improved A-star Algorithm and Quadratic Programming. IV 2023: 1-7 - [c4]Yuning Wang, Zhiyuan Liu, Haotian Lin, Jinhao Li, Ruochen Li, Jianqiang Wang:
VIF-GNN: A Novel Agent Trajectory Prediction Model based on Virtual Interaction Force and GNN. IV 2023: 1-7 - [i6]Jinhao Li, Changlong Wang, Hao Wang:
Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach. CoRR abs/2304.02239 (2023) - [i5]Jinhao Li, Yu Hui Yuan, Qiushi Cui, Hao Wang:
Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning. CoRR abs/2308.14117 (2023) - [i4]Jinhao Li, Shiyao Li, Jiaming Xu, Shan Huang, Yaoxiu Lian, Jun Liu, Yu Wang, Guohao Dai:
Enabling Fast 2-bit LLM on GPUs: Memory Alignment, Sparse Outlier, and Asynchronous Dequantization. CoRR abs/2311.16442 (2023) - 2022
- [j1]Jinhao Li, Shuai Wang, Shaodan Hu, Yiming Sun, Yaqi Wang, Peifang Xu, Juan Ye:
Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs. Comput. Biol. Medicine 151(Part): 106301 (2022) - [c3]Jinhao Li, Shuocheng Yang, Xiang Zhao, Chunlin Wang, Yuning Wang, Jianqiang Wang:
Autonomous Hedging System Designed for Driver Disability Accidents Based on Emergency Risk Field. ICITE 2022: 302-307 - [c2]Jun Zhao, Le Chen, Jinhao Li, Yuliang Zhao:
Semantic Segmentation of Sea Ice Based on U-net Network Modification. ROBIO 2022: 1151-1156 - [i3]Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. CoRR abs/2212.06542 (2022) - [i2]Jinhao Li, Changlong Wang, Hao Wang:
Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets. CoRR abs/2212.13368 (2022) - 2021
- [c1]Hongyang Lai, Zhuocheng Yang, Jinhao Li, Celimuge Wu, Wugedele Bao:
A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning. MONAMI 2021: 73-86 - [i1]Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang:
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information. CoRR abs/2112.11461 (2021)
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last updated on 2024-04-25 01:24 CEST by the dblp team
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