no code implementations • 23 Oct 2023 • Chenfan Weng, Zhongguo Li
In Reinforcement Learning (RL), agents aim at maximizing cumulative rewards in a given environment.
no code implementations • 3 Feb 2023 • Yi Dong, Zhongguo Li, Xingyu Zhao, Zhengtao Ding, Xiaowei Huang
Then, based on the distributed optimisation algorithm, an output regulation method is utilised to solve the optimal coordination problem for general linear dynamic systems.
no code implementations • 27 Jan 2023 • Zhongguo Li, Wen-Hua Chen, Jun Yang, Yunda Yan
Formal properties of the proposed DCEE framework like convergence are established.
no code implementations • 24 Apr 2022 • Yiqiao Xu, Alessandra Parisio, Zhongguo Li, Zhen Dong, Zhengtao Ding
This paper presents a novel scheme termed Optimization-based Ramping Reserve Allocation (ORRA) for addressing an ongoing challenge in Automatic Generation Control (AGC) enhancement, i. e., the optimal coordination of multiple Battery Energy Storage Systems (BESSs).
no code implementations • 18 Aug 2021 • Zhongguo Li, Wen-Hua Chen, Jun Yang
In this setting, the control action not only minimises the tracking error between future agent's position and estimated source location, but also the uncertainty of predicted estimation.
no code implementations • 11 Dec 2020 • Zhongguo Li, Magnus Oskarsson, Anders Heyden
Then, taking the low resolution voxel grids which are generated by the coarse 3D models as input, the voxel super-resolution based on an implicit representation is learned through a multi-stage 3D convolutional neural network.
no code implementations • 11 Dec 2020 • Zhongguo Li, Anders Heyden, Magnus Oskarsson
A novel energy function based on the correspondence is built and minimized to fit parametric model to the silhouettes.
no code implementations • 24 Mar 2020 • Zhongguo Li, Fan Lyu, Wei Feng, Song Wang
Paired egocentric interaction recognition (PEIR) is the task to collaboratively recognize the interactions between two persons with the videos in their corresponding views.
1 code implementation • ECCV 2020 • Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu
We identify that online object tracking poses two new challenges: 1) it is difficult to generate imperceptible perturbations that can transfer across frames, and 2) real-time trackers require the attack to satisfy a certain level of efficiency.