Xiaodong Feng

ORCID: 0000-0002-5058-6527
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About
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Research Areas
  • Complex Network Analysis Techniques
  • Advanced Graph Neural Networks
  • Face and Expression Recognition
  • Opinion Dynamics and Social Influence
  • Social Media and Politics
  • Digital Marketing and Social Media
  • Model Reduction and Neural Networks
  • Recommender Systems and Techniques
  • Sparse and Compressive Sensing Techniques
  • E-Government and Public Services
  • Multicomponent Synthesis of Heterocycles
  • Advanced Text Analysis Techniques
  • Rough Sets and Fuzzy Logic
  • Metabolomics and Mass Spectrometry Studies
  • Advanced Image and Video Retrieval Techniques
  • Probabilistic and Robust Engineering Design
  • Knowledge Management and Sharing
  • Misinformation and Its Impacts
  • Gaussian Processes and Bayesian Inference
  • Advanced Clustering Algorithms Research
  • Smart Cities and Technologies
  • Caching and Content Delivery
  • Salivary Gland Disorders and Functions
  • Cloud Computing and Resource Management
  • Railway Systems and Energy Efficiency

Sichuan University
2022-2025

Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2025

Sun Yat-sen University
2018-2024

Xi'an Shiyou University
2024

Xiangtan University
2021-2023

Shandong University of Finance and Economics
2023

Chinese Academy of Sciences
2022-2023

Yueyang Changling Equipment Research Institute (China)
2023

Academy of Mathematics and Systems Science
2022-2023

University of Electronic Science and Technology of China
2015-2022

Purpose Building on organizational support theory and social exchange theory, the purpose of this paper is to study impact employee performance (EP) in context flexible manufacturing. In particular, authors aimed investigate mediating role attitude between EP, moderating justice (OJ). Design/methodology/approach A total 180 participants from 36 work teams employed 7 large automotive manufacturing enterprises China were surveyed using a questionnaire designed by authors. Multiple linear...

10.1108/er-01-2019-0079 article EN Employee Relations 2019-10-29

Background: Telepathology is increasingly being employed to support diagnostic consultation services. Prior publications have addressed technology aspects for telepathology, whereas this paper will address the clinical telepathology experience of KingMed Diagnostics, largest independent pathology medical laboratory in China. Beginning 2012 University Pittsburgh Medical Center (UPMC) and Diagnostics partnered establish an international service. Materials Methods: This a retrospective study...

10.4103/2153-3539.170650 article EN cc-by-nc-sa Journal of Pathology Informatics 2015-01-01

In this work, we propose an adaptive learning approach based on temporal normalizing flows for solving time-dependent Fokker-Planck (TFP) equations.It is well known that solutions of such equations are probability density functions, and thus our relies modelling the target with flows.The flow then trained TFP loss function, without requiring any labeled data.Being a machine scheme, proposed mesh-free can be easily applied to high dimensional problems.We present variety test problems show...

10.4208/cicp.oa-2022-0090 article EN Communications in Computational Physics 2022-01-01

The red imported fire ant, Solenopsis invicta Buren is one of the world's most successful and destructive invasive ant species. In mainland China, fast, monthly annual pest reports on all pests have been established since 2010. distribution S. resulting from climate change in China was predicted using MaxEnt modeling combination with comprehensive surveillance data 56 environmental factors.The fast revealed that had spread to new territories almost every year this timeframe. transportation...

10.1002/ps.7297 article EN Pest Management Science 2022-11-22

Network embedding, also known as network repre-sentation, has attracted a surge of attention in data mining and machine learning community fundamental tool to treat net-work data. Most existing deep learning-based embedding approaches focus on reconstructing the pairwise connections micro-structure, which are easily disturbed by anomaly or attack. Thus, address aforementioned challenge, we pro-pose novel robust framework for attributed preserving Community Information (AnECI). Rather than...

10.1109/icde53745.2022.00186 article EN 2022 IEEE 38th International Conference on Data Engineering (ICDE) 2022-05-01
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