Yuxin Dai

According to our database, Yuxin Dai authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Geometry and Reflectance Disentanglement for 3D Face Reconstruction from Sparse-view Images.

Daisheng Jin, Jiangbei Hu, Baixin Xu, Yuxin Dai, Chen Qian, Ying He

CoRR, 2023

Wind Power Scenario Generation Based on Denoising Diffusion Probabilistic Model.

Chenglong Xu, Yuxin Dai, Peidong Xu, Tianlu Gao, Jun Zhang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion.

Zhihua Zhong, Jingsen Zhu, Yuxin Dai, Chuankun Zheng, Guanlin Chen, Yuchi Huo, Hujun Bao, Rui Wang

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Characteristics Analysis of Thermal Infrared Remote Sensing Response of Crude Oil and Emulsified Oil.

Zongchen Jiang, Jie Zhang, Yi Ma, Xingpeng Mao, Kai Du, Yuxin Dai

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Supervised assisted deep reinforcement learning for emergency voltage control of power systems.

Xiaoshuang Li, Xiao Wang, Xinhu Zheng, Yuxin Dai, Zhihong Yu, Jun Jason Zhang, Guangquan Bu, Fei-Yue Wang

Neurocomputing, 2022

Design of Trans-Provincial Power Spot Trading Mechanism and Provincial Power Allocation System.

Hao Zhang, Hang Zhao, Jiahao Xiong, Peidong Xu, Ke Zhang, Yuxin Dai, Haoran Zhang, Jun Zhang, Tianlu Gao

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

Evolutionary Deep Reinforcement Learning for Volt-VAR Control in Distribution Network.

Ruiqi Si, Tianlu Gao, Yuxin Dai, Yuyang Bai, Yuqi Jiang, Jun Zhang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

Short-Term State Electricity Load Forecasting Based on Transfer-Informer.

Yuqi Jiang, Yuxin Dai, Ruiqi Si, Jiuxiang Chen, Tianlu Gao, Jun Zhang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

Residential Short Term Load Forecasting Based on Federated Learning.

Jiuxiang Chen, Tianlu Gao, Ruiqi Si, Yuxin Dai, Yuqi Jiang, Jun Zhang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022

2021

HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning.

Linyao Yang, Xiao Wang, Yuxin Dai, Kejun Xin, Xiaolong Zheng, Weiping Ding, Jun Zhang, Fei-Yue Wang

Knowl. Based Syst., 2021

2019

A Framework of Decentralized Electricity Market Based on The Collaborative Mechanism of Blockchain and Edge Computing.

Siyuan Chen, Yuyang Bai, Yinya Zhang, Xiaohong Liu, Jun Zhang, Tianlu Gao, Zhou Fang, Yuxin Dai

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019