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ORCIDPei Yang 0001
Person information
- affiliation: South China University of Technology, Guangzhou, China
Other persons with the same name
- Pei Yang — disambiguation page
- Pei Yang 0002
![[0000-0001-6016-2472]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6016-2472")
— Beijing University of Posts and Telecommunications, Wireless Communication Center, China (and 1 more) - Pei Yang 0003 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
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2020 – today
- 2024
[j22]Mengjian Zhang, Guihua Wen, Pei Yang:
Chaos-BBO: Chaos balanced butterfly optimizer with dynamic continuum chaotic strategies and its applications. Clust. Comput. 27(9): 11911-11952 (2024)- [j21]Wenjun Cai, Mengjian Zhang, Guihua Wen, Pei Yang:
TSRNet: Tongue image segmentation with global and local refinement. Displays 81: 102601 (2024) - [j20]Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, Chuyun Chen, Bao Wang:
Multi-geometry embedded transformer for facial expression recognition in videos. Expert Syst. Appl. 249: 123635 (2024) - [j19]Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, Chuyun Chen, Bao Wang:
CDGT: Constructing diverse graph transformers for emotion recognition from facial videos. Neural Networks 179: 106573 (2024) - [j18]Qiaonan Li, Guihua Wen, Pei Yang:
From patch, sample to domain: Capture geometric structures for few-shot learning. Pattern Recognit. 148: 110147 (2024) - [j17]Yingxue Xu, Guihua Wen, Yang Hu, Pei Yang:
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8753-8765 (2024) - [j16]Dongliang Chen, Guihua Wen, Pengcheng Wen, Pei Yang, Rui Chen, Cheng Li:
Cross-Domain Sample Relationship Learning for Facial Expression Recognition. IEEE Trans. Multim. 26: 3788-3798 (2024) - [c16]Yinru He, Guihua Wen, Pei Yang, Dongliang Chen:
Speech Relationship Learning for Cross-Corpus Speech Emotion Recognition. ICASSP 2024: 10656-10660 - 2022
- [j15]Qi Tan, Pei Yang, Guihua Wen:
Deep non-negative tensor factorization with multi-way EMG data. Neural Comput. Appl. 34(2): 1307-1317 (2022) - [j14]Yingxue Xu, Guihua Wen, Pei Yang, Baochao Fan, Yang Hu, Mingnan Luo, Changjun Wang:
Task-Coupling Elastic Learning for Physical Sign-Based Medical Image Classification. IEEE J. Biomed. Health Informatics 26(2): 626-637 (2022) - [j13]Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall:
Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition. IEEE Trans. Multim. 24: 2473-2487 (2022) - [i2]Yingxue Xu, Guihua Wen, Yang Hu, Pei Yang:
Unsupervised Domain Adaptation via Deep Hierarchical Optimal Transport. CoRR abs/2211.11424 (2022) - 2021
- [j12]Yang Hu, Guihua Wen, Mingnan Luo, Pei Yang, Dan Dai, Zhiwen Yu, Changjun Wang, Wendy Hall:
Fully-channel regional attention network for disease-location recognition with tongue images. Artif. Intell. Medicine 118: 102110 (2021) - [j11]Yanghui Li, Guihua Wen, Yang Hu, Mingnan Luo, Baochao Fan, Changjun Wang, Pei Yang:
Multi-source Seq2seq guided by knowledge for Chinese healthcare consultation. J. Biomed. Informatics 117: 103727 (2021) - [j10]Haozan Liang, Guihua Wen, Yang Hu, Mingnan Luo, Pei Yang, Yingxue Xu:
MVANet: Multi-Task Guided Multi-View Attention Network for Chinese Food Recognition. IEEE Trans. Multim. 23: 3551-3561 (2021) - 2020
- [j9]Pei Yang, Qi Tan, Jingrui He:
Complex heterogeneity learning: A theoretical and empirical study. Pattern Recognit. 107: 107519 (2020) - [i1]Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall:
Semantic Graph-enhanced Visual Network for Zero-shot Learning. CoRR abs/2006.04648 (2020)
2010 – 2019
- 2019
- [c15]Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI 2019: 4078-4084 - [c14]Pei Yang, Qi Tan, Hanghang Tong, Jingrui He:
Task-Adversarial Co-Generative Nets. KDD 2019: 1596-1604 - 2018
- [j8]Pei Yang, Qi Tan, Yada Zhu, Jingrui He:
Heterogeneous representation learning with separable structured sparsity regularization. Knowl. Inf. Syst. 55(3): 671-694 (2018) - [j7]Qi Tan, Pei Yang, Jingrui He:
Feature co-shrinking for co-clustering. Pattern Recognit. 77: 12-19 (2018) - [j6]Pei Yang, Qi Tan, Jingrui He:
Function-on-Function Regression with Mode-Sparsity Regularization. ACM Trans. Knowl. Discov. Data 12(3): 36:1-36:23 (2018) - 2017
- [c13]Pei Yang, Qi Tan, Jingrui He:
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity. KDD 2017: 1255-1264 - 2016
- [j5]Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He:
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. ACM Trans. Knowl. Discov. Data 10(4): 39:1-39:25 (2016) - [j4]Pei Yang, Hasan Davulcu, Yada Zhu, Jingrui He:
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning. IEEE Trans. Knowl. Data Eng. 28(12): 3154-3168 (2016) - [c12]Pei Yang, Jingrui He:
Heterogeneous Representation Learning with Structured Sparsity Regularization. ICDM 2016: 539-548 - [c11]Pei Yang, Jingrui He:
Functional Regression with Mode-Sparsity Constraint. ICDM 2016: 1311-1316 - 2015
- [c10]Pei Yang, Jingrui He:
A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity. ICDM 2015: 1081-1086 - [c9]Pei Yang, Jingrui He:
Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning. KDD 2015: 1375-1384 - [c8]Pei Yang, Jingrui He, Jia-Yu Pan:
Learning Complex Rare Categories with Dual Heterogeneity. SDM 2015: 523-531 - 2014
- [j3]Pei Yang, Wei Gao:
Information-Theoretic Multi-view Domain Adaptation: A Theoretical and Empirical Study. J. Artif. Intell. Res. 49: 501-525 (2014) - [j2]Qi Tan, Huifang Deng, Pei Yang:
Knowledge transfer across different domain data with multiple views. Neural Comput. Appl. 25(1): 15-23 (2014) - [c7]Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu:
Learning from Label and Feature Heterogeneity. ICDM 2014: 1079-1084 - [c6]Wei Gao, Pei Yang:
Democracy is good for ranking: towards multi-view rank learning and adaptation in web search. WSDM 2014: 63-72 - 2013
- [j1]Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong:
A link-bridged topic model for cross-domain document classification. Inf. Process. Manag. 49(6): 1181-1193 (2013) - [c5]Pei Yang, Wei Gao:
Multi-View Discriminant Transfer Learning. IJCAI 2013: 1848-1854 - 2012
- [c4]Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong:
Information-theoretic Multi-view Domain Adaptation. ACL (2) 2012: 270-274 - [c3]Qi Tan, Huifang Deng, Pei Yang:
Kernel Mean Matching with a Large Margin. ADMA 2012: 223-234
2000 – 2009
- 2009
- [c2]Pei Yang, Qi Tan, Hao Xu, Yehua Ding:
An Information-Theoretic Approach for Multi-task Learning. ADMA 2009: 386-396 - 2008
- [c1]Pei Yang, Qi Tan, Yehua Ding:
Bayesian Task-Level Transfer Learning for Non-linear Regression. CSSE (1) 2008: 62-65
Coauthor Index
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