Jinhao Li
Orcid: 0000-0002-4812-3320
According to our database1,
Jinhao Li
authored at least 18 papers
between 2021 and 2024.
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Bibliography
2024
How vicarious learning increases users' knowledge adoption in live streaming: The roles of parasocial interaction, social media affordances, and knowledge consensus.
Inf. Process. Manag., March, 2024
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets.
CoRR, 2024
Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets.
CoRR, 2024
Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information.
CoRR, 2024
2023
Comput. Electron. Agric., December, 2023
Enabling Fast 2-bit LLM on GPUs: Memory Alignment, Sparse Outlier, and Asynchronous Dequantization.
CoRR, 2023
Cross-Entropy-Based Approach to Multi-Objective Electric Vehicle Charging Infrastructure Planning.
CoRR, 2023
Optimal Energy Storage Scheduling for Wind Curtailment Reduction and Energy Arbitrage: A Deep Reinforcement Learning Approach.
CoRR, 2023
VIF-GNN: A Novel Agent Trajectory Prediction Model based on Virtual Interaction Force and GNN.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Global Path Planning of UGVs in Large-Scale Off-Road Environment Based on Improved A-star Algorithm and Quadratic Programming.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Full reliability characterization of three-terminal SOT-MTJ devices and corresponding arrays.
Proceedings of the IEEE International Reliability Physics Symposium, 2023
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
2022
Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets.
CoRR, 2022
Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs.
Comput. Biol. Medicine, 2022
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
Autonomous Hedging System Designed for Driver Disability Accidents Based on Emergency Risk Field.
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022
2021
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information.
CoRR, 2021
A Distributed Computation Offloading Strategy for Edge Computing Based on Deep Reinforcement Learning.
Proceedings of the Mobile Networks and Management - 11th EAI International Conference, 2021