Journal Publications
[1]RMIB: Representation Matching Information Bottleneck for Matching Text Representations.ICML2024（CCF A） [2]ModWaveMLP: MLP-based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting.AAAI2024（CCF A） [3]Self-Admitted Technical Debts Identification: How Far Are We?.SANER 2024（CCF B 最佳会议论文） [4]CTH-Net: A CNN and Transformer Hybrid Network for Skin Lesion Segmentation..ISCIENCE (2024) [5]Blockchain-based mobile crowdsourcing model with task security and task assignment.Expert Systems with Applications, 2023. [6]Classification of open source software bug report based on transfer learning.Expert System, 2023. [7]STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information.BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2023 [8]HViT: Hybrid vision inspired transformer for the assessment of carotid artery plaque by addressing the cross-modality domain adaptation problem in MRI.COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. 2023. [9]Short-term load forecasting with dense average network.EXPERT SYSTEMS WITH APPLICATIONS, 2021 [10]SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD.COMPUTERS IN BIOLOGY AND MEDICINE, 2021 [11]GRBMC: An effective crowdsourcing recommendation for workers groups.EXPERT SYSTEMS WITH APPLICATIONS, 2021 [12]The Measurement of the Software Ecosystem's Productivity with GitHub.COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2020 [13]Jinsong Wu, Zhifang Liao*, Yanbing Li, Li Xu, Song Yu.NBSL:A Supervised Classification Model of Pull Request[C].Soft Computing, 2019 [14]Zhifang Liao ; Benhong Zhao; Shengzong Liu ; Haozhi Jin; Dayu He; Liu Yang; Yan Zhang; Jinsong Wu.A Prediction Model of the Project Life-span in Open Source Software Ecosystem[J].Mobile Networks and Applications, 2018
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廖志芳
Postal Address:9817122a1eee186ae3148bbd4569b8ab3f0e9006d8abb1ef79af17ed388d76ef5347bde1fc173122b9a2189d6b19283ab9f86c403c89ffc8dcc7d0e5cb917fc4c065f7e971c7fc8583cf4a198d1b752766e20d97f581e4c374ff6a119c28dba45cc6d62bd2a3bcdbf697f1fba0893f07e6999e7ecb01be185132caa817b941a0
Email:7765e0ec462123becc6baaf98d2133414e10647d743b7097213c12d921a6b977d41c41b45d90fa67477cd1405904df1b50fe415c9baa862595712a57920d2b3e1835f3596d6cdbeb0282a0816ecccbf912654b5a57810596f15f6ca5529f92d843f54f2d385ed4e05c599e14dffa738271b2bc36d36a09adfb01e36db7464472
MOBILE Version
