no code implementations • 27 Apr 2024 • XiaoYu Zhang, Weipeng Jiang, Chao Shen, Qi Li, Qian Wang, Chenhao Lin, Xiaohong Guan
This paper provides an overview of the testing research related to various DL libraries, discusses the strengths and weaknesses of existing methods, and provides guidance and reference for the application of the DL library.
no code implementations • 7 Mar 2024 • Xiaodi Chen, Meng Zhang, Zhengguang Wu, Ligang Wu, Xiaohong Guan
Load frequency control (LFC) is widely employed in power systems to stabilize frequency fluctuation and guarantee power quality.
no code implementations • 10 Feb 2023 • Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a non-negative vector) and its variants have been widely used in areas such as machine learning and information retrieval.
no code implementations • 26 Jan 2023 • Runze Lei, Pinghui Wang, Junzhou Zhao, Lin Lan, Jing Tao, Chao Deng, Junlan Feng, Xidian Wang, Xiaohong Guan
In this work, we propose a novel FL framework for graph data, FedCog, to efficiently handle coupled graphs that are a kind of distributed graph data, but widely exist in a variety of real-world applications such as mobile carriers' communication networks and banks' transaction networks.
no code implementations • 22 Aug 2022 • Qilong Huang, Qing-Shan Jia, Xiang Wu, Shengyuan Xu, Xiaohong Guan
First, a joint scheduling model of pricing and charging control is developed to maximize the expected social welfare of the charging station considering the Quality of Service and the price fluctuation sensitivity of EV drivers.
no code implementations • 2 Jun 2022 • Jiazhou Wang, Jue Tian, Yang Liu, Xiaohong Guan, Dong Yang, Ting Liu
We prove that a designed MMTD can significantly improve the detection capability compared to existing one-stage MTDs.
no code implementations • 31 Oct 2021 • Zhentong Shao, Qiaozhu Zhai, Xiaohong Guan
Various LPF models are proposed, but some crucial questions are still remained: what is the performance bound (e. g., the error bound) of LPF models, how to know a branch is applicable for LPF models or not, and what is the best LPF model.
no code implementations • 7 Oct 2021 • Xiaopeng Li, Jiang Wu, Zhanbo Xu, Kun Liu, Jun Yu, Xiaohong Guan
This paper focuses on the uncertainty set prediction of the aggregated generation of geographically distributed wind farms.
no code implementations • 22 Sep 2021 • Liang Yu, Shuqi Qin, Zhanbo Xu, Xiaohong Guan, Chao Shen, Dong Yue
To overcome the challenge, we reformulate the problem as a Markov game and propose an energy management algorithm to solve it based on multi-agent discrete actor-critic with rules (MADACR).
no code implementations • 30 Dec 2020 • Yadong Zhou, Zhihao Ding, Xiaoming Liu, Chao Shen, Lingling Tong, Xiaohong Guan
While using the trending graph neural networks (GNNs) as encoder has the problem that GNNs aggregate redundant information from neighborhood and generate indistinguishable user representations, which is known as over-smoothing.
no code implementations • 13 Aug 2020 • Ming Fan, Wenying Wei, Xiaofei Xie, Yang Liu, Xiaohong Guan, Ting Liu
For this reason, a variety of explanation approaches are proposed to interpret predictions by providing important features.
Cryptography and Security Software Engineering
no code implementations • 12 Aug 2020 • Liang Yu, Shuqi Qin, Meng Zhang, Chao Shen, Tao Jiang, Xiaohong Guan
However, it is a nontrivial task due to the following challenges.
1 code implementation • NeurIPS 2020 • Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan
We study the problem of node classification on graphs with few-shot novel labels, which has two distinctive properties: (1) There are novel labels to emerge in the graph; (2) The novel labels have only a few representative nodes for training a classifier.
no code implementations • 25 Jun 2020 • Liang Yu, Yi Sun, Zhanbo Xu, Chao Shen, Dong Yue, Tao Jiang, Xiaohong Guan
In this paper, we intend to minimize the energy cost of an HVAC system in a multi-zone commercial building under dynamic pricing with the consideration of random zone occupancy, thermal comfort, and indoor air quality comfort.
no code implementations • 13 Mar 2020 • Xiaoming Liu, Qirui Li, Chao Shen, Xi Peng, Yadong Zhou, Xiaohong Guan
Graph convolution network (GCN) attracts intensive research interest with broad applications.
no code implementations • 2 Feb 2020 • Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
Instead of computing $k$ independent Gumbel random variables directly, we find that there exists a technique to generate these variables in descending order.
1 code implementation • 22 Oct 2019 • Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan
Machine Learning systems are vulnerable to adversarial attacks and will highly likely produce incorrect outputs under these attacks.
2 code implementations • 16 May 2019 • Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang
Despite significant progress, deep reinforcement learning (RL) suffers from data-inefficiency and limited generalization.
1 code implementation • 1 Apr 2017 • Yihui He, Xiaobo Ma, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan
Security surveillance is one of the most important issues in smart cities, especially in an era of terrorism.