Jinfeng Wang

29 papers A* 1B 1C 1Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multi-task strategy framework for aquaculture counting across irregular densities.
J. King Saud Univ. Comput. Inf. Sci.
Jinfeng Wang, Jinze Lv, Bing Ni, Lian Gan, Yuan Kong, Zhipeng Cheng, Qiong Huang
2025 J jnl
PCN: Patch segmentation convolutional networks in time series forecasting tasks.
Knowl. Based Syst.
Jinfeng Wang, Kaihong Zheng, Yingjie Kuang, Wenzhong Wang
2025 J jnl
Temporal constrained joint nonnegative matrix factorization for imaging genomic study of early mild cognitive impairment.
Neurocomputing
Jin Deng, Kaihan Huang, Jinfeng Wang, Wenjian Zhong, Yufang Xu, Wei Kong
2024 J jnl
A simple self-supervised learning framework with patch-based data augmentation in diagnosis of Alzheimer's disease.
Biomed. Signal Process. Control.
Haoqiang Gong, Zhiwen Wang, Shuaihui Huang, Jinfeng Wang
2024 J jnl
Community Enhanced Knowledge Graph for Recommendation.
IEEE Trans. Comput. Soc. Syst.
Zhenyu He, Chang-Dong Wang, Jinfeng Wang, Jian-Huang Lai, Yong Tang
2024 J jnl
DDTCN: Decomposed dimension time-domain convolutional neural network along spatial dimensions for multiple long-term series forecasting.
Appl. Intell.
Kaihong Zheng, Jinfeng Wang, Yunqiang Chen, Rongjin Jiang, Wenzhong Wang
2024 J jnl
EduLGCL: Local-global contrastive learning model for education recommendation.
Knowl. Based Syst.
Yijun Zhao, Fajian Jiang, Yin Pang, Yunxi Deng, Youyou Han, Jinfeng Wang
2024 J jnl
FF-GLAM-cs: a fusion framework based on GLAM with channel shuffle for speech emotion recognition.
Int. J. Mach. Learn. Cybern.
Jinfeng Wang, Zhishen Zheng, Yong Liang, Jing Qin, Wenzhong Wang
2023 J jnl
A calibrated SVM based on weighted smooth GL1/2 for Alzheimer's disease prediction.
Comput. Biol. Medicine
Jinfeng Wang, Shuaihui Huang, Zhiwen Wang, Dong Huang, Jing Qin, Hui Wang, Wenzhong Wang, Yong Liang
2023 B conf
MFGCL: Light graph contrast learning with multi-feature information for recommendation.
IJCNN
Yijun Zhao, Fajian Jiang, Jinfeng Wang
2022 J jnl
Driver Fatigue Detection Using Improved Deep Learning and Personalized Framework.
Int. J. Artif. Intell. Tools
Jinfeng Wang, Shuaihui Huang, Junyang Liu, Dong Huang, Wenzhong Wang
2022 J jnl
GHOC: A generative model for hybrid-order community detection.
Int. J. Intell. Syst.
Ling Huang, Yong Tang, Chengzhou Fu, Jinfeng Wang, Chang-Dong Wang
2022 — conf
SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD.
BIBM
Jinfeng Wang, ShuaiHui Hang, Yong Liang, Jing Qin, Wenzhong Wang
2021 — conf
Feature Gene Selection based on L1/2+2 Regularization.
ICBBS
Zhenyu He, Yong Liang, Ling Huang, Wenzhong Wang, Jinfeng Wang
2021 J jnl
Fuzzy measure with regularization for gene selection and cancer prediction.
Int. J. Mach. Learn. Cybern.
Jinfeng Wang, Zhenyu He, Shuaihui Huang, Hao Chen, Wenzhong Wang, Farhad Pourpanah
2021 J jnl
Parallel computing of fuzzy integrals: Performance and test.
J. Intell. Fuzzy Syst.
Jinfeng Wang, Shuaihui Huang, Fajian Jiang, Zhishen Zheng, Jianbin Ou, Hao Chen, Runjian Chen, Wenzhong Wang
2021 — conf
Recognition of Alzheimer's Disease Using Structural MRI Based on Smooth Group L1/2.
ICBBS
Shuaihui Huang, Xuhong Tian, Dong Huang, Shaojian Qiu, Wenzhong Wang, Jinfeng Wang
2021 — conf
Research on the Factors of Rice Consumption Demand Based on LDA-GRA Analysis.
ICISCAE (ACM)
Wenzhong Wang, Peiheng Su, Cailing Zhuo, Jinfeng Wang, Jieyi Pan
2019 — conf
Research on Optimization of Multi-target Logistics Distribution Based on Hybrid Integer Linear Programming Model.
ISICA
Jinfeng Wang, Jiayan Tang, Linqi He, Zirong Ji, Zhenyu He, Cheng Yang, Rongliang Huang, Wenzhong Wang
2018 — conf
A New Model based on Fuzzy integral for Cancer Prediction.
BIBM
Jinfeng Wang, Jiajie Chen, Hui Wang
2018 — conf
Gene Selection Based on Fuzzy Measure with L1 Regularization.
CSE
Jinfeng Wang, Jiajie Chen, Hui Wang
2015 J jnl
Multiple nonlinear integral for classification.
J. Intell. Fuzzy Syst.
Jinfeng Wang, Kwong-Sak Leung, Kin-Hong Lee, Wenzhong Wang
2015 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Jinfeng Wang, Wenzhong Wang
2012 J jnl
Multiregression based on upper and lower nonlinear integrals.
Int. J. Intell. Syst.
Jinfeng Wang, Kwong-Sak Leung, Kin-Hong Lee, Zhenyuan Wang, Jun Xu
2012 J jnl
Nonlinear integrals with polynomial kernel and its applications.
Int. J. Intell. Syst.
Jinfeng Wang, Kwong-Sak Leung, Kin-Hong Lee, Zhenyuan Wang, Wenzhong Wang, Jun Xu
2011 J jnl
Data Mining on DNA Sequences of Hepatitis B Virus.
IEEE ACM Trans. Comput. Biol. Bioinform.
Kwong-Sak Leung, Kin-Hong Lee, Jinfeng Wang, Eddie Y. T. Ng, Henry L. Y. Chan, Stephen Kwok-Wing Tsui, Tony Shu Kam Mok, Pete Chi-Hang Tse, Joseph J. Y. Sung
2009 — conf
L1-norm Regularization Based Nonlinear Integrals.
ISNN (1)
Jinfeng Wang, Kin-Hong Lee, Kwong-Sak Leung
2008 — conf
Polynomial Nonlinear Integrals.
ISNN (1)
Jinfeng Wang, Kwong-Sak Leung, Kin-Hong Lee, Zhenyuan Wang
2008 A* conf
Projection with Double Nonlinear Integrals for Classification.
ICDM
Jinfeng Wang, Kwong-Sak Leung, Kin-Hong Lee, Zhenyuan Wang