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2020 – today
- 2024
[j22]Sifan Li
, Yue Cao, Shuohan Liu, Yuping Lai, Yongdong Zhu, Naveed Ahmad:
HDA-IDS: A Hybrid DoS Attacks Intrusion Detection System for IoT by using semi-supervised CL-GAN. Expert Syst. Appl. 238(Part F): 122198 (2024)- [j21]Yuping Lai, Wenbo Guan, Lijuan Luo, Yanhui Guo, Heping Song, Hongying Meng:
Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6948-6962 (2024) - [j20]Yuping Lai, Yiying Yu, Wenbo Guan, Lijuan Luo, Jing Fan, Nanrun Zhou, Yuan Ping:
A Lightweight Intrusion Detection System Using a Finite Dirichlet Mixture Model With Extended Stochastic Variational Inference. IEEE Trans. Netw. Serv. Manag. 21(4): 4701-4712 (2024) - [c1]Heping Song, Jingyao Gong, Hongying Meng, Yuping Lai:
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing. AAAI 2024: 4909-4917 - 2023
- [j19]Heping Song, Hui Ma, Yixiong Si, Jingyao Gong, Hongying Meng, Yuping Lai:
Back projection deep unrolling network for handwritten text image super resolution. Comput. Electr. Eng. 111(Part B): 108965 (2023) - [j18]Lijuan Luo, Jiarui Liu, Hanyi Shen, Yuping Lai:
Vote or not? How language mimicry affect peer recognition in an online social Q&A community. Neurocomputing 530: 139-149 (2023) - [j17]Quan Zhou, Yuping Lai, Hongyu Yu, Ronghui Zhang, Xiaojun Jing, Lijuan Luo:
Multi-modal fusion for millimeter-wave communication systems: A spatio-temporal enabled approach. Neurocomputing 555: 126604 (2023) - [j16]Heping Song, Qifeng Ding, Jingyao Gong, Hongying Meng, Yuping Lai:
SALSA-Net: Explainable Deep Unrolling Networks for Compressed Sensing. Sensors 23(11): 5142 (2023) - [j15]Yujie Song, Yue Cao, Kai Jiang, Yuqing Li, Yuping Lai, Lixin Wang:
MP-VRCR: A Multi-Dimension and Priority-Based Vehicle-Road Collaborative Routing Protocol. IEEE Trans. Veh. Technol. 72(8): 10797-10812 (2023) - 2022
- [j14]Heping Song, Zehong Ai, Yuping Lai, Hongying Meng, Qirong Mao:
Sparse signal reconstruction via generalized two-stage thresholding. Sci. China Inf. Sci. 65(3) (2022) - [j13]Yongfa Ling, Wenbo Guan, Qiang Ruan, Heping Song, Yuping Lai:
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization. Int. J. Interact. Multim. Artif. Intell. 7(5): 76 (2022) - [j12]Yuping Lai, Wenbo Guan, Lijuan Luo, Qiang Ruan, Yuan Ping, Heping Song, Hongying Meng, Yu Pan:
Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling. Int. J. Intell. Syst. 37(7): 4277-4306 (2022) - [j11]Zhanyu Ma, Yuping Lai, Jiyang Xie, Deyu Meng, W. Bastiaan Kleijn, Jun Guo, Jingyi Yu:
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6089-6102 (2022) - 2021
- [j10]Heping Song, Xiaolong Ren, Yuping Lai, Hongying Meng:
Sparse Analysis Recovery via Iterative Cosupport Detection Estimation. IEEE Access 9: 38386-38395 (2021) - [j9]Yuping Lai, Huirui Cao, Lijuan Luo, Yongmei Zhang, Fukun Bi, Xiaolin Gui, Yuan Ping:
Extended variational inference for gamma mixture model in positive vectors modeling. Neurocomputing 432: 145-158 (2021) - [j8]Yanping Xu, Tingcong Ye, Xin Wang, Yuping Lai, Jian Qiu, Lingjun Zhang, Xia Zhang:
GMM with parameters initialization based on SVD for network threat detection. J. Intell. Fuzzy Syst. 40(1): 477-490 (2021) - [j7]Yanping Xu, Xia Zhang, Chengdan Lu, Zhenliang Qiu, Chunfang Bi, Yuping Lai, Jian Qiu, Hua Zhang:
Network Threat Detection Based on Group CNN for Privacy Protection. Wirel. Commun. Mob. Comput. 2021: 3697536:1-3697536:18 (2021) - [i2]Yongfa Ling, Wenbo Guan, Qiang Ruan, Heping Song, Yuping Lai:
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization. CoRR abs/2112.14375 (2021) - 2020
- [j6]Fengquan Zhang, Huaming Gao, Yuping Lai:
Detail-Preserving CycleGAN-AdaIN Framework for Image-to-Ink Painting Translation. IEEE Access 8: 132002-132011 (2020) - [j5]Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo:
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2240-2254 (2020)
2010 – 2019
- 2019
- [j4]Yuping Lai, Xiu Ma, Yanping Xu, Yongfa Ling, Chunlai Du, Jianhe Du, Yongmei Zhang, Yuan Ping:
Positive Data Modeling Using a Mixture of Mixtures of Inverted Beta Distributions. IEEE Access 7: 38146-38156 (2019) - [j3]Yuan Ping, Bin Hao, Huina Li, Yuping Lai, Chun Guo, Hui Ma, Baocang Wang, Xiali Hei:
Efficient Training Support Vector Clustering With Appropriate Boundary Information. IEEE Access 7: 146964-146978 (2019) - [j2]Amira S. Ashour, Chunlai Du, Yanhui Guo, Ahmed Refaat Hawas, Yuping Lai, Florentin Smarandache:
A Novel Neutrosophic Subsets Definition for Dermoscopic Image Segmentation. IEEE Access 7: 151047-151053 (2019) - [j1]Zhanyu Ma, Yuping Lai, W. Bastiaan Kleijn, Yi-Zhe Song, Liang Wang, Jun Guo:
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling. IEEE Trans. Neural Networks Learn. Syst. 30(2): 449-463 (2019) - 2018
- [i1]Zhanyu Ma, Yuping Lai:
Infinite Mixture of Inverted Dirichlet Distributions. CoRR abs/1807.10693 (2018)
Coauthor Index
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