Xiao Liquan

Prof. Xiao Liquan

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 March 2018 in Frontiers of Computer Science
Verified
Journal Article
Closed access
PDF file
XXXuchao Xie
Xuchao Xie
XLXiao Liquan
Xiao Liquan
DWDengping Wei
Dengping Wei
QLQiong Li
Qiong Li
ZSZhenlong Song
Zhenlong Song
XGXiongzi Ge
Xiongzi Ge

17 October 2025
Verified
Conference Paper
Open access
SHShuiyi He
Shuiyi He
ZWZicong Wang
Zicong Wang
XTXuan Tang
Xuan Tang
HTHao Tang
Hao Tang
DDDezun Dong
Dezun Dong
XLXiao Liquan
Xiao Liquan

17 November 2023
Verified
Conference Paper
Open access
YLYuqi Li
Yuqi Li
XLXiao Liquan
Xiao Liquan
JFJinghua Feng
Jinghua Feng
JZJian Zhang
Jian Zhang
QMQingzhen Ma
Qingzhen Ma
YYYuan Yuan
Yuan Yuan
Ensuring the reliability of the supercomputer is challenging. A potential solution could be to detect anomalies in a timely manner from the logs. However, current methods struggle with the vast diversity and volume of Exascale supercomputer logs due to the heavy reliance on manual labeling. This paper introduces AutoLAD, an unsupervised log anomaly detection method. Firstly, logs are embedded using a pre-trained language model. AutoLAD then creates a basic set of standard log patterns utilizing the Local Outlier Factor algorithm to remove anomalous entries. Finally, AutoLAD employs a single-log sliding-window strategy to handle the standard set, forming the autoencoder’s training set, which enables the learning of standard patterns. In the detection stage, the autoencoder evaluates a fixed-length log sequence. If the reconstruction error exceeds a set threshold, the sequence is deemed anomalous. Our approach, tested on logs from the NG-Tianhe supercomputer, achieved an F1 score of more than 0.91.

18 March 2019 in Electronics
Verified
Journal Article
Open access
PDF file
KMkefan ma
kefan ma
XLXiao Liquan
Xiao Liquan
JZJianmin Zhang
Jianmin Zhang
The Boolean satisfiability (SAT) problem is the key problem in computer theory and application. A novel algorithm is introduced to implement a SLS hardware solver called probSAT+. The algorithm has no complex heuristic, and it only depends on the concepts of preprocessing technology, probability distribution and centralized search. Through constraining the initial assignments of the variables, the number of flipped variables was reduced while the solver finding a solution. Moreover, the algorithm no longer adopts some non-continuous if-then-else decisions, but depends on a single continuous function f(x,v). The flipping probability is not obtained by complex calculations, instead being selected by looking up tables, which effectively improves the performance of the solver. As far as we know, the probability distribution selection strategy descripted by hardware description language is firstly adopted by hardware SAT solver, which can be easily transplanted to any programmable logic device. The experimental results show that the probSAT+ solver is generally lower than the advanced software solver in the number of flips (up to 9.8 × 10 6 ), and the speedup is approximately 2.6 times with single thread, which shows that the probSAT+ has better results with fewer variables flipping times when a solution can be found. In addition, the success ratio of the solver in finding a solution of the problem in a suitable time is 100%.

4 September 2019 in Preprints.org
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Preprint
Open access
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WQWeihao Qiu
Weihao Qiu
ZHZhirun Hu
Zhirun Hu
XLXiao Liquan
Xiao Liquan
As the rapid development of communication industry, especially the 5G communication and IOT, there will be plenty of electromagnetic (EM) waves in the free space, which carry lots of energies. However, some of these energies are wasted in free space. To reuse these wasted energies, significantly growing interests are towards to the energy harvesting antennas. This paper is aimed to investigate a wearable antenna which can transfer RF energy from ambient sources to direct current by a soft and portable textile antenna. Among the numerous signals in mobile network, the GSM 1800, 3G, WiFi and 4G/5G will be chosen due to the city signal intensity distribution. Hence, a corresponding triple bands antenna has been designed to cover those frequency bands. The CST STUDIO SUITE is used in whole process of antenna design and simulation. The proposed antenna is a hooked dipole antenna with tuning bar (HATB) whose ends have small folded part in each side for better bandwidth performance. The presented antenna provides a wide operating band from 1.8 GHz to 2.5 GHz below -10 dB in return loss. And methods to overcome interference between antennas is found. Furthermore, using the corresponding rectifier to achieve the RF/DC conversion. The overall efficiency of whole rectifier is about 56.8 %, and output power level of the antenna system is 45.92nW. The experimental results could indicate that my textile hooked antenna harvester is a good choice for the charging system of personal wearable attachment, which could achieve low power absorbing for long distance anytime and anywhere.

1 January 2016
Verified
Conference Paper
Closed access
PDF file
LZLuo Zhang
Luo Zhang
LMLai Mingche
Lai Mingche
ZPZhengbin Pang
Zhengbin Pang
XLXiao Liquan
Xiao Liquan
XWXu Weixia
Xu Weixia
High baud rate optical transceiver based on time division multiplexing technology is proposed. A communication channel at 80GBoud with 4 bit streams at 20Gbps is realized by 4-stage cascaded high speed switches with synchronous drivers.