Pei Yang

According to our database, Pei Yang authored at least 35 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From patch, sample to domain: Capture geometric structures for few-shot learning.

Qiaonan Li, Guihua Wen, Pei Yang

Pattern Recognit., April, 2024

TSRNet: Tongue image segmentation with global and local refinement.

Wenjun Cai, Mengjian Zhang, Guihua Wen, Pei Yang

Displays, January, 2024

Cross-Domain Sample Relationship Learning for Facial Expression Recognition.

Dongliang Chen, Guihua Wen, Pengcheng Wen, Pei Yang, Rui Chen, Cheng Li

IEEE Trans. Multim., 2024

2022

Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition.

Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

IEEE Trans. Multim., 2022

Task-Coupling Elastic Learning for Physical Sign-Based Medical Image Classification.

Yingxue Xu, Guihua Wen, Pei Yang, Baochao Fan, Yang Hu, Mingnan Luo, Changjun Wang

IEEE J. Biomed. Health Informatics, 2022

Deep non-negative tensor factorization with multi-way EMG data.

Qi Tan, Pei Yang, Guihua Wen

Neural Comput. Appl., 2022

Unsupervised Domain Adaptation via Deep Hierarchical Optimal Transport.

Yingxue Xu, Guihua Wen, Yang Hu, Pei Yang

CoRR, 2022

2021

MVANet: Multi-Task Guided Multi-View Attention Network for Chinese Food Recognition.

Haozan Liang, Guihua Wen, Yang Hu, Mingnan Luo, Pei Yang, Yingxue Xu

IEEE Trans. Multim., 2021

Multi-source Seq2seq guided by knowledge for Chinese healthcare consultation.

Yanghui Li, Guihua Wen, Yang Hu, Mingnan Luo, Baochao Fan, Changjun Wang, Pei Yang

J. Biomed. Informatics, 2021

Fully-channel regional attention network for disease-location recognition with tongue images.

Yang Hu, Guihua Wen, Mingnan Luo, Pei Yang, Dan Dai, Zhiwen Yu, Changjun Wang, Wendy Hall

Artif. Intell. Medicine, 2021

2020

Complex heterogeneity learning: A theoretical and empirical study.

Pei Yang, Qi Tan, Jingrui He

Pattern Recognit., 2020

Semantic Graph-enhanced Visual Network for Zero-shot Learning.

Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

CoRR, 2020

2019

Task-Adversarial Co-Generative Nets.

Pei Yang, Qi Tan, Hanghang Tong, Jingrui He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.

Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Function-on-Function Regression with Mode-Sparsity Regularization.

Pei Yang, Qi Tan, Jingrui He

ACM Trans. Knowl. Discov. Data, 2018

Feature co-shrinking for co-clustering.

Qi Tan, Pei Yang, Jingrui He

Pattern Recognit., 2018

Heterogeneous representation learning with separable structured sparsity regularization.

Pei Yang, Qi Tan, Yada Zhu, Jingrui He

Knowl. Inf. Syst., 2018

2017

Multi-task Function-on-function Regression with Co-grouping Structured Sparsity.

Pei Yang, Qi Tan, Jingrui He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning.

Pei Yang, Hasan Davulcu, Yada Zhu, Jingrui He

IEEE Trans. Knowl. Data Eng., 2016

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.

Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He

ACM Trans. Knowl. Discov. Data, 2016

Functional Regression with Mode-Sparsity Constraint.

Pei Yang, Jingrui He

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Heterogeneous Representation Learning with Structured Sparsity Regularization.

Pei Yang, Jingrui He

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Learning Complex Rare Categories with Dual Heterogeneity.

Pei Yang, Jingrui He, Jia-Yu Pan

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning.

Pei Yang, Jingrui He

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity.

Pei Yang, Jingrui He

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Knowledge transfer across different domain data with multiple views.

Qi Tan, Huifang Deng, Pei Yang

Neural Comput. Appl., 2014

Information-Theoretic Multi-view Domain Adaptation: A Theoretical and Empirical Study.

Pei Yang, Wei Gao

J. Artif. Intell. Res., 2014

Democracy is good for ranking: towards multi-view rank learning and adaptation in web search.

Wei Gao, Pei Yang

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Learning from Label and Feature Heterogeneity.

Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

A link-bridged topic model for cross-domain document classification.

Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong

Inf. Process. Manag., 2013

Multi-View Discriminant Transfer Learning.

Pei Yang, Wei Gao

Proceedings of the IJCAI 2013, 2013

2012

Kernel Mean Matching with a Large Margin.

Qi Tan, Huifang Deng, Pei Yang

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

Information-theoretic Multi-view Domain Adaptation.

Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2009

An Information-Theoretic Approach for Multi-task Learning.

Pei Yang, Qi Tan, Hao Xu, Yehua Ding

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Bayesian Task-Level Transfer Learning for Non-linear Regression.

Pei Yang, Qi Tan, Yehua Ding

Proceedings of the International Conference on Computer Science and Software Engineering, 2008