Yadong Zhou

ORCID: 0000-0003-0345-3518
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About
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Research Areas
  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Smart Grid Security and Resilience
  • Network Security and Intrusion Detection
  • Spam and Phishing Detection
  • Software-Defined Networks and 5G
  • Hydrocarbon exploration and reservoir analysis
  • Advanced Text Analysis Techniques
  • Advanced Graph Neural Networks
  • Advanced Malware Detection Techniques
  • Web Data Mining and Analysis
  • Building Energy and Comfort Optimization
  • Smart Grid and Power Systems
  • Power System Optimization and Stability
  • Caching and Content Delivery
  • Paleontology and Stratigraphy of Fossils
  • Optimal Power Flow Distribution
  • Climate change and permafrost
  • Geological Studies and Exploration
  • Social Media and Politics
  • Internet Traffic Analysis and Secure E-voting
  • Image Processing and 3D Reconstruction
  • Smart Grid Energy Management
  • Geological and Geophysical Studies
  • Blockchain Technology Applications and Security

Xi'an Jiaotong University
2016-2025

Southwest Petroleum University
2020-2025

Nanjing University of Aeronautics and Astronautics
2025

Northeast Petroleum University
2011-2023

Oil and Gas Center
2023

Beijing University of Posts and Telecommunications
2018

Zhejiang Gongshang University
2015

In order to understand the tectonic control on shale oil migration and accumulation, samples of Daanzhai Member Lower Jurassic Ziliujing Formation from well core in a tectonically stable area upright anticline outcrop were selected for total organic carbon (TOC) content analysis, rock pyrolysis, fluorescence scanning, scanning electron microscopy. The results show following: (1) area, TOC reservoirs is positively correlated with S1, high OSI interval usually occurs high-TOC shales. limestone...

10.3390/en18041004 article EN cc-by Energies 2025-02-19

Modern quantitative finance and portfolio-based investment hinge on multimedia news historical price trends for stock movement prediction. However, prior studies overlook the long tail effect in feature distribution of stocks, inevitably leading to biased attention thus degrading efficiency utilizing news. To this end, we propose a prompt-adaptive trimodal model (PA-TMM) overcome networks scarcity problem. In model, sentiments automatically extracted from information serve as prompts...

10.1109/tnnls.2025.3547141 article EN IEEE Transactions on Neural Networks and Learning Systems 2025-01-01

As the most competitive solution for next-generation network, SDN and its dominant implementation OpenFlow are attracting more interests. But besides convenience flexibility, SDN/OpenFlow also introduces new kinds of limitations security issues. Of these limitations, obvious maybe neglected one is flow table capacity switches. In this paper, we proposed a novel inference attack targeting at which motivated by limited capacities switches following measurable network performance decrease...

10.1155/2018/4760632 article EN cc-by Security and Communication Networks 2018-01-01

As the most competitive solution for next-generation network, software-defined network (SDN) and its dominant implementation OpenFlow, are attracting more interests. But besides convenience flexibility, SDN/OpenFlow also introduces new kinds of limitations security issues. Of these limitations, obvious maybe neglected one, is flow table capacity switches. In this paper, we proposed a novel inference attack targeting at which motivated by limited capacities switches following measurable...

10.48550/arxiv.1504.03095 preprint EN other-oa arXiv (Cornell University) 2015-01-01

Cascading failure models are important for understanding the mechanism of blackouts and evaluating control strategies to prevent propagation. The evolution cascading in actual power grid is a continuous dynamic process triggered by discrete events, such as initial disturbances physical responses. In this paper, we develop an event-triggered hybrid system model describe failure. model, states described differential algebraic equations events defined transitions between grid. also integrates...

10.1109/tase.2022.3169069 article EN IEEE Transactions on Automation Science and Engineering 2022-05-19

Follower networks such as Twitter and Digg are becoming popular form of social information networks. This paper seeks to gain insights into how they evolve the relationship between their structure ability spread information. By studying Douban follower network, which is a online network in China, we provide some evidences showing its suitability for spreading. For example, it exhibits an unbalanced bow-tie with large out-component, indicates that majority users can widely; effective diameter...

10.1109/infcomw.2011.5928945 article EN 2011-04-01

Virtual currency in OSNs plays an increasingly important role supporting various financial activities such as exchange, online shopping, and paid games. Users usually purchase virtual using real currency. This fact motivates attackers to instrument army of accounts collect unethically or illegally with no very low cost then launder the collected money for massive profit. Such attacks not only introduce significant loss victim users, but also harm viability ecosystem. It is therefore central...

10.1109/mnet.2017.1700213 article EN IEEE Network 2017-11-28

People use various online social networks for different purposes. The user information on each network is usually partial. Thus, matching the users across these multiple of great significance providing new services as well insights behaviors. Recent research shows that group structure widely exists networks, in which members work together with certain purpose and are more influential than individuals networks. Previous works provide outstanding solutions mapping individuals, but few ones pay...

10.1109/tsmc.2018.2826555 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2018-05-04

With the increasing demand for engineering construction in seasonal frozen area and background of Belt Road Initiative, soil constitutive model should be studied depth. At present, prediction silty clay has many problems, such as complex formula, single application poor ability. Random forest optimal hyperparameter input was very difficult. Particle Swarm Optimization (PSO) used to optimize parameters number neurons, dropout batch_size Long-term Short-Term Memory network (LSTM) structure....

10.3389/feart.2022.1069182 article EN cc-by Frontiers in Earth Science 2023-01-12

Online social networks (OSNs) gradually integrate financial capabilities by enabling the usage of real and virtual currency. They serve as new platforms to host a variety business activities, such online promotion events, where users can possibly get currency rewards participating in events. Both OSNs partners are significantly concerned when attackers instrument set accounts collect from these which make events ineffective result significant loss. It becomes great importance proactively...

10.1109/access.2017.2654272 article EN cc-by-nc-nd IEEE Access 2017-01-01

Past 20 years has witnessed some exorbitant fallout and large-scale blackouts in power system, particularly due to cascading failures their propagation the crucial yet complex networked infrastructure. A pivotal prevention measure steer clear from events is identification of vulnerable set, defined as composition specific line combinations that can trigger sequence errors. By nature, problem NP-hard a resort approximation algorithms necessary. In this article, we first construct general...

10.1109/tii.2022.3202917 article EN IEEE Transactions on Industrial Informatics 2022-08-30

Topic discussion is a significant phenomenon on the online social network, which would attract rising attention in near future. In this paper, we predict tendency of topic networks using dynamic probability model. We analyze process discussion, and give formulation it. Three main factors (individual interest, group behavior, time lapse) are analyzed quantized, based which, propose model to user's i.e. attending or not, then obtain number users. Most parameters can be calculated by ML...

10.1145/1379157.1379160 article EN 2008-06-19

The problem of discovering influential users is important to understand and analyze online social networks. user profiles interactions between are significant features evaluate the influence. As these heterogeneous, it challengeable take all them into a proper model for influence evaluation. In this paper, we propose based on personal adjacent factor discover in Through taking advantages Bayesian network chain principle PageRank algorithm, integratedly considered our model. Based real data...

10.1142/s0218001416590151 article EN International Journal of Pattern Recognition and Artificial Intelligence 2016-01-21

Microgrid has two typical working modes: grid-connected mode and islanded mode. The transfer between these modes should be seamless. In a microgrid that uses master-slave strategy to avoid circumfluence in the mode, control master converter's voltage is voltage. Considering this, converter this paper works as voltage-controlled inverter when disconnecting from utility grid while current-controlled rectifier Besides, by gradually adjusting output equal of going connect setting an appropriate...

10.1109/icpe.2011.5944504 article EN 2011-05-01
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