Xianghua Li

ORCID: 0000-0003-0253-3882
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About
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Research Areas
  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Slime Mold and Myxomycetes Research
  • Misinformation and Its Impacts
  • Advanced Photonic Communication Systems
  • Data Visualization and Analytics
  • Photonic and Optical Devices
  • Human Mobility and Location-Based Analysis
  • Optical Network Technologies
  • Topological and Geometric Data Analysis
  • Transportation Planning and Optimization
  • Advanced Graph Neural Networks
  • Land Use and Ecosystem Services
  • Sentiment Analysis and Opinion Mining
  • Advanced Fiber Laser Technologies
  • Advanced Clustering Algorithms Research
  • Integrated Energy Systems Optimization
  • Advanced Text Analysis Techniques
  • Urban Heat Island Mitigation
  • Topic Modeling
  • Advanced Algorithms and Applications
  • Energy Load and Power Forecasting
  • Urban Green Space and Health
  • Vehicle Dynamics and Control Systems
  • Luminescence and Fluorescent Materials

Northwestern Polytechnical University
2021-2025

East China Normal University
2023-2025

China Tobacco
2024

Anqing Normal University
2024

Open University of China
2024

Huawei Technologies (China)
2016-2023

State Grid Hunan Electric Power Company Limited
2022-2023

Yangtze River Pharmaceutical Group (China)
2022-2023

Southwest University
2012-2022

Yunnan University
2020-2022

Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection. In chain-based algorithm (i.e., MCL), flow distribution matrix transition used describe stochastic flows probabilities, respectively, network. The dynamic interaction process between probabilities MCLs manifested through an iterative updating abovementioned two matrices. As one key mechanisms MCLs,...

10.1109/tkde.2020.2997043 article EN IEEE Transactions on Knowledge and Data Engineering 2020-05-25

Robustness is one of the most important performance criteria for any rail transit network (RTN), because it helps us enhance efficiency RTN. Several studies have addressed issue RTN robustness primarily from perspectives given structures or static distributions passenger flow. An open problem that remains in fully understanding how to take spatio-temporal characteristics travel into consideration, since dynamic flow an can readily trigger unexpected cascading failures. This paper addresses...

10.1109/tits.2021.3058185 article EN IEEE Transactions on Intelligent Transportation Systems 2021-02-20

One of the challenging topics in Intelligent Transportation Systems (ITSs) is metro passenger flow prediction. It has great practical significance for daily crowd management and vehicle scheduling flow. Recently, Graph Convolutional Networks (GCN) represent a station metros by aggregating information stations directly indirectly connected with station, improve effectiveness predicting Despite its effectiveness, neighborhood aggregation scheme also brings two limitations First, it limits to...

10.1109/tits.2024.3365179 article EN IEEE Transactions on Intelligent Transportation Systems 2024-02-27

In recent years, multilayer networks have served as effective models for addressing and analyzing real-world systems with multiple relationships. Among these scenarios, the community detection (CD) problem is one of most prominent research hotspots. Although some on network CD (MCD) has been proposed to address this problem, studies focus only topological structures. Therefore, their algorithms cannot extract out complementary information, such node similarities low-rank features, which may...

10.1109/mci.2023.3245729 article EN IEEE Computational Intelligence Magazine 2023-04-13

The rise of social media has intensified fake news risks, prompting a growing focus on leveraging graph learning methods such as neural networks (GNNs) to understand post-spread patterns news. However, existing often produce less robust and interpretable results they assume that all information within the propagation is relevant item, without adequately eliminating noise from engaged users. Furthermore, inadequately capture intricate inherent in long-sequence dependencies due their use...

10.1145/3637528.3672024 article EN Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2024-08-24

A new optoelectronic oscillator (OEO) combined with injection-locked (IL) and phase locked loop (PLL) is proposed in this letter. Comparing a free running OEO, the IL-PLL OEO can suppress side modes, reduce close-in noise, improve long-term stability. From experiment demonstration, highly stable 9.5-GHz microwave signal noises of -125 dBc/Hz at 1-kHz offset frequency -143 10-kHz obtained, side-mode suppression ratio larger than 80 dB Allan deviations are 1.37 × 10 <sup...

10.1109/lpt.2015.2501369 article EN IEEE Photonics Technology Letters 2015-11-17

Starch is available in large quantities and at cheap price, especially that from stale rice, root tuber crops, <italic>etc.</italic> A metal-free approach to convert starch 5-methylfurfural using HCl, NaI H<sub>2</sub> a biphasic solvent system has been developed.

10.1039/c9gc01645g article EN Green Chemistry 2019-01-01

Promoting the accessibility of basic public service facilities is key to safeguarding and improving people’s lives. Effective provision especially important for sustainable development less developed regions. Lincang in Yunnan Province a typical underdeveloped region China. In parallel, multisource remote sensing data with higher spatial resolution provide more precise results small-scale regional assessment. Thus, we use an assessment method measure evaluate three types infrastructure based...

10.3390/rs16020409 article EN cc-by Remote Sensing 2024-01-20

With the development of intelligent transportation systems, estimation traffic flow in urban areas has attracted a great attention researchers. The timely and accurate travel information residents could assist users planning their strategies improve operational efficiency systems. Currently, origin-destination (OD) flows are formulated as an OD matrix, which is used to denote patterns residents. In this paper, simple effective model, called NMF-AR, proposed for predicting matrices through...

10.1109/access.2017.2774449 article EN cc-by-nc-nd IEEE Access 2017-11-16

Several technical indicators have been proposed to assess the impact of authors and institutions. Here, we combine h-index PageRank algorithm do away with some individual limitations these two indices. Most importantly, aim take into account value differences between citations-evaluating citation sources by defining using score rather than citations. The resulting PR-index is then constructed evaluating source popularity as well publication authority. Extensive tests on available collections...

10.1371/journal.pone.0161755 article EN cc-by PLoS ONE 2016-09-14

Community detection is a crucial and essential problem in the structure analytics of complex networks, which can help us understand predict characteristics functions networks. Many methods, ranging from optimization-based algorithms to heuristic-based algorithms, have been proposed for solving such problem. Due inherent complexity identifying network structure, how design an effective algorithm with higher accuracy lower computational cost still remains open Inspired by capability positive...

10.1109/tcbb.2016.2638824 article EN IEEE/ACM Transactions on Computational Biology and Bioinformatics 2016-12-13

The traveling salesman problem (TSP) is one of the most classical NP-hard problems in combinatorial optimization, as many practical problems, such scheduling and vehicle-routing cost allocation can be abstracted. introduction multiobjective TSP a very important research topic, which brings serious challenges to TSP. Currently, genetic algorithms (GAs) are effective methods solve (MOTSP). However, GA-based suffer premature convergence, insufficient diversity, nonuniform distribution solutions...

10.1109/access.2019.2917838 article EN cc-by-nc-nd IEEE Access 2019-01-01

Park green spaces (PGSs) are an important component of urban natural carbon sinks, while their spatial morphological patterns can affect the sequestration capacity themselves. This study selected six typical parks in central district Shanghai and analyzed correlation between indices CO2 concentration distribution PGSs based on ENVI-met BRT models. It further explored interaction mechanisms cycling process under influence different morphology. The results shows that play role sink diurnal...

10.3390/f14071396 article EN Forests 2023-07-09
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