Search Results for author: Zhongguo Li

Found 11 papers, 1 papers with code

Diverse Priors for Deep Reinforcement Learning

no code implementations23 Oct 2023 Chenfan Weng, Zhongguo Li

In Reinforcement Learning (RL), agents aim at maximizing cumulative rewards in a given environment.

reinforcement-learning Reinforcement Learning (RL)

Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation

no code implementations3 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.

Optimization-Based Ramping Reserve Allocation of BESS for AGC Enhancement

no code implementations24 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).

Distributed Optimization Load Forecasting

Concurrent Active Learning in Autonomous Airborne Source Search: Dual Control for Exploration and Exploitation

no code implementations18 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.

Active Learning

Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation

no code implementations11 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.


Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition

no code implementations24 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.

Action Recognition

SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking

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.

Adversarial Attack Video Object Tracking +2

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