Xinyan Liang

According to our database, Xinyan Liang authored at least 27 papers between 2017 and 2025.

Collaborative distances:

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

2025

Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection.

Tao Li, Yuhua Qian, Feijiang Li, Xinyan Liang, Zhi-Hui Zhan

IEEE Trans. Big Data, February, 2025

A data representation method using distance correlation.

Xinyan Liang, Yuhua Qian, Qian Guo, Keyin Zheng

Frontiers Comput. Sci., January, 2025

2024

ESSR: Evolving Sparse Sharing Representation for Multitask Learning.

Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang

IEEE Trans. Evol. Comput., June, 2024

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion.

Chenglong Zhang, Xinyan Liang, Peng Zhou, Zhaolong Ling, Yingwei Zhang, Xingyu Wu, Weiguo Sheng, Bingbing Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Progressive Skip Reasoning Fusion Method for Multi-Modal Classification.

Qian Guo, Xinyan Liang, Yuhua Qian, Zhihua Cui, Jie Wen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CoMO-NAS: Core-Structures-Guided Multi-Objective Neural Architecture Search for Multi-Modal Classification.

Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Zhifang Wei, Wen Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference.

Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Core-Structures-Guided Multi-Modal Classification Neural Architecture Search.

Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification.

Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deep Incomplete Multi-View Learning Network with Insufficient Label Information.

Zhangqi Jiang, Tingjin Luo, Xinyan Liang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Auto-attention mechanism for multi-view deep embedding clustering.

Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Hongjun Wang

Pattern Recognit., November, 2023

AWLloss: Speaker Verification Based on the Quality and Difficulty of Speech.

Qian Liu, Xia Zhang, Xinyan Liang, Yuhua Qian, Shanshan Yao

IEEE Signal Process. Lett., 2023

2022

AF: An Association-Based Fusion Method for Multi-Modal Classification.

Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-granulation Multi-scale Relation Network for Abstract Reasoning.

Qian Guo, Yuhua Qian, Xinyan Liang, Junyu Chen, Honghong Cheng

Int. J. Mach. Learn. Cybern., 2022

Corrigendum to "GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy" [Int. J. Approx. Reason. 143 (2022) 78-101].

Qian Guo, Yuhua Qian, Xinyan Liang

Int. J. Approx. Reason., 2022

GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy.

Qian Guo, Yuhua Qian, Xinyan Liang

Int. J. Approx. Reason., 2022

2021

Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition.

Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang

IEEE Trans. Evol. Comput., 2021

Logic could be learned from images.

Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang

Int. J. Mach. Learn. Cybern., 2021

Deep embedding clustering based on contractive autoencoder.

Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Yimiao Zhao

Neurocomputing, 2021

2019

RGB-T object tracking: Benchmark and baseline.

Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, Jin Tang

Pattern Recognit., 2019

Fast RGB-T Tracking via Cross-Modal Correlation Filters.

Sulan Zhai, Pengpeng Shao, Xinyan Liang, Xin Wang

Neurocomputing, 2019

Mining Logic Patterns from Visual Data.

Qian Guo, Yuhua Qian, Xinyan Liang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Local neighborhood rough set.

Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang

Knowl. Based Syst., 2018

Local rough set: A solution to rough data analysis in big data.

Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang

Int. J. Approx. Reason., 2018

Adaptively Learning Background-Aware Correlation Filter for Visual Tracking.

Zichun Zhang, Xinyan Liang, Chenglong Li

Proceedings of the Image and Graphics Technologies and Applications, 2018

Learning Noise-Aware Correlation Filter for Visual Tracking.

Xinyan Liang, Xiao Wang, Jin Tang, Chenglong Li

Proceedings of the Big Data - 6th CCF Conference, 2018

2017

Local multigranulation decision-theoretic rough sets.

Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang

Int. J. Approx. Reason., 2017