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ORCIDJia Yan 0002
Person information
- affiliation: Southwest University, Chongqing, China
Other persons with the same name
- Jia Yan — disambiguation page
- Jia Yan 0001
![[0000-0001-7674-176X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7674-176X")
— Southwest University of Science and Technology, Mianyang, Sichuan, China - Jia Yan 0003 — University of Minnesota Twin Cities, Minneapolis, MN, USA
- Jia Yan 0004 — Institute of Software, Chinese Academy of Sciences, China
- Jia Yan 0005 — Huawei Technologies, Shenzhen, China
- Jia Yan 0006 — Wuhan University, Wuhan, China
- Jia Yan 0007 — Harbin University of Commerce, China
- Jia Yan 0008 — Samsung Research Center-Shenzhen, Shenzhen, China
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2020 – today
- 2025
[j24]Jia Yan, Peng Liu, Tingwei Xiong, Mingye Han, Qingzhu Jia, Yixing Gao:
LRCTNet: A lightweight rectal cancer T-staging network based on knowledge distillation via a pretrained swin transformer. Biomed. Signal Process. Control. 105: 107696 (2025)- [j23]Zijian Wang, Linxia Zhang, Zhe Li, Shukai Duan, Jia Yan:
Improving E-Nose Performance: A Novel ELM-Based Dual-Level Joint Domain Adaptation Method for Sensor Drift Data. IEEE Trans. Instrum. Meas. 74: 1-11 (2025) - 2024
- [j22]Shichao Zhai, Zhe Li, Huisheng Zhang, Lidan Wang, Shukai Duan, Jia Yan:
A multilevel interleaved group attention-based convolutional network for gas detection via an electronic nose system. Eng. Appl. Artif. Intell. 133: 108038 (2024) - [j21]Junlin Chen, Tao Luo, Jia Yan, Libo Zhang:
A novel twin-center intuitionistic fuzzy large margin classifier with unified pinball loss for improving the performance of E-noses system. Expert Syst. Appl. 250: 123883 (2024) - [j20]Lu Li, Sihao Xiang, Mingye Han, Jia Yan:
Performance Improvement of Multisensor Systems Using Autocompensation Strategy-Based LSTM. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c4]Jia Yan, Zhe Li, Mingye Han, Yong Chen, Songqi Gao, Shuangjing Yang:
Identification of Varieties of Agricultural Products Based on a Machine Olfactory System and a Lightweight Multiscale Convolutional Neural Network. IEEE SENSORS 2024: 1-4 - 2023
- [j19]Shichao Zhai, Mingye Han, Zhe Li, Shuangjing Yang, Shukai Duan, Jia Yan:
M2FL-CCC: Multibranch Multilayer Feature Leaning and Comprehensive Classification Criterion for Gas Sensor Drift Compensation. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j18]Danhong Yi, Linxia Zhang, Zijian Wang, Lidan Wang, Shukai Duan, Jia Yan:
Robust Domain Correction Latent Subspace Learning for Gas Sensor Drift Compensation. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7668-7680 (2023) - [c3]Zijian Wang, Mingye Han, Huisheng Zhang, Jia Yan:
A Double-Level Interleaved Group Convolutional Network in the Frequency Domain for E-Nose Gas Recognition. SENSORS 2023: 1-4 - [c2]Mingye Han, Qingzhu Jia, Tingwei Xiong, Yixing Gao, Peng Liu, Jia Yan:
A convolutional neural network model for T-stage prediction of rectal cancer using CT images. MeMeA 2023: 1-5 - 2022
- [j17]Jia Yan, Feiyue Chen, Tao Liu, Yuelin Zhang, Xiaoyan Peng, Danhong Yi, Shukai Duan:
Subspace alignment based on an extreme learning machine for electronic nose drift compensation. Knowl. Based Syst. 235: 107664 (2022) - 2021
- [j16]Yutong Tian, Jia Yan, Danhong Yi, Yuelin Zhang, Zehuan Wang, Tianhang Yu, Xiaoyan Peng, Shukai Duan:
Local Manifold Embedding Cross-Domain Subspace Learning for Drift Compensation of Electronic Nose Data. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [i1]Yuelin Zhang, Jia Yan, Zehuan Wang, Xiaoyan Peng, Yutong Tian, Shukai Duan:
TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors. CoRR abs/2110.07509 (2021) - 2020
- [j15]Yutong Tian, Jia Yan, Yiyun Zhang, Tianhang Yu, Peiyuan Wang, Debo Shi, Shukai Duan:
A Drift-Compensating Novel Deep Belief Classification Network to Improve Gas Recognition of Electronic Noses. IEEE Access 8: 121385-121397 (2020)
2010 – 2019
- 2018
- [j14]Tailai Wen, Jia Yan, Daoyu Huang, Kun Lu, Changjian Deng, Tanyue Zeng, Song Yu, Zhiyi He:
Feature Extraction of Electronic Nose Signals Using QPSO-Based Multiple KFDA Signal Processing. Sensors 18(2): 388 (2018) - [j13]Changjian Deng, Kun Lv, Debo Shi, Bo Yang, Song Yu, Zhiyi He, Jia Yan:
Enhancing the Discrimination Ability of a Gas Sensor Array Based on a Novel Feature Selection and Fusion Framework. Sensors 18(6): 1909 (2018) - [c1]Yulin Jian, Kun Lu, Changjian Deng, Tailai Wen, Jia Yan:
Drift Compensation for E-Nose Using QPSO-Based Domain Adaptation Kernel ELM. ISNN 2018: 148-156 - 2017
- [j12]Jia Yan, Shukai Duan, Lidan Wang, Pengfei Jia, Tingwen Huang, Fengchun Tian, Kun Lu:
Feature extraction of electronic nose for classification of indoor pollution gases based on kernel entropy component analysis. Int. J. Intell. Syst. Technol. Appl. 16(2): 140-152 (2017) - [j11]Yulin Jian, Daoyu Huang, Jia Yan, Kun Lu, Ying Huang, Tailai Wen, Tanyue Zeng, Shijie Zhong, Qilong Xie:
A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach. Sensors 17(6): 1434 (2017) - 2016
- [j10]Pengfei Jia, Tailai Huang, Shukai Duan, Lingpu Ge, Jia Yan, Lidan Wang:
A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training. Sensors 16(3): 370 (2016) - [j9]Chao Peng, Jia Yan, Shukai Duan, Lidan Wang, Pengfei Jia, Songlin Zhang:
Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model. Sensors 16(4): 520 (2016) - [j8]Pengfei Jia, Tailai Huang, Li Wang, Shukai Duan, Jia Yan, Lidan Wang:
A Novel Pre-Processing Technique for Original Feature Matrix of Electronic Nose Based on Supervised Locality Preserving Projections. Sensors 16(7): 1019 (2016) - [j7]Li Wang, Pengfei Jia, Tailai Huang, Shukai Duan, Jia Yan, Lidan Wang:
A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm. Sensors 16(8): 1275 (2016) - [j6]Tailai Huang, Pengfei Jia, Peilin He, Shukai Duan, Jia Yan, Lidan Wang:
A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs. Sensors 16(9): 1462 (2016) - 2015
- [j5]Pengfei Jia, Shukai Duan, Jia Yan:
An Enhanced Quantum-Behaved Particle Swarm Optimization Based on a Novel Computing Way of Local Attractor. Inf. 6(4): 633-649 (2015) - [j4]Xiuzhen Guo, Chao Peng, Songlin Zhang, Jia Yan, Shukai Duan, Lidan Wang, Pengfei Jia, Fengchun Tian:
A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance. Sensors 15(7): 15198-15217 (2015) - [j3]Jia Yan, Xiuzhen Guo, Shukai Duan, Pengfei Jia, Lidan Wang, Chao Peng, Songlin Zhang:
Electronic Nose Feature Extraction Methods: A Review. Sensors 15(11): 27804-27831 (2015) - 2012
- [j2]Qinghua He, Jia Yan, Yue Shen, Yutian Bi, Guanghan Ye, Fengchun Tian, Zhengguo Wang:
Classification of Electronic Nose Data in Wound Infection Detection Based on PSO-SVM Combined with Wavelet Transform. Intell. Autom. Soft Comput. 18(7): 967-979 (2012) - [j1]Jia Yan, Fengchun Tian, Jingwei Feng, Pengfei Jia, Qinghua He, Yue Shen:
A PSO-SVM Method for Parameters and Sensor Array Optimization in Wound Infection Detection based on Electronic Nose. J. Comput. 7(11): 2663-2670 (2012)
Coauthor Index
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