Xinyan Liang

According to our database, Xinyan Liang authored at least 58 papers between 2017 and 2026.

Collaborative distances:

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

2026

Survey on Neural Routing Solvers.

Yunpeng Ba, Xi Lin, Changliang Zhou, Ruihao Zheng, Zhenkun Wang, Xinyan Liang, Zhichao Lu, Jianyong Sun, Yuhua Qian, Qingfu Zhang

CoRR, February, 2026

Learning Invariant Grasping Features via Scene Prototypes and Structure Priors in Robotic Manipulation.

Lu Chen, Chaofan Yang, Zeyu Wang, Yuwei Wang, Xinyan Liang, Yuhua Qian

IEEE Trans Autom. Sci. Eng., 2026

3D Portrait Stylization with Adaptive Semantic Editing based on GAN Latent Codes.

Yantao Song, Xiangchong Jia, Jieru Jia, Yudong Liang, Xinyan Liang

Pattern Recognit., 2026

Illumination-adaptive feature enhancement for low-light object detection.

Jiajia Lu, Wenping Zheng, Yuhua Qian, Xinyan Liang, Keqi Wang, Zhian Yuan

Pattern Recognit., 2026

Self-Enhanced Density Clustering for High Dimension and Low Sample Size Data.

Bingbing Jiang, Zhongli Wang, Jie Yang, Guangkui Xu, Wei Chen, Chenglong Zhang, Xinyan Liang, Peng Zhou, Weiguo Sheng, Weiping Ding

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion.

Li Zhang, Pinhan Fu, Li Lv, Qian Guo, Liang Du, Xinyan Liang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Multi-View Clustering with Granularity-Aware Pseudo Supervision.

Jie Yang, Cheng-You Lu, Zhongli Wang, Hsiang-Ting Chen, Guangkui Xu, Chenglong Zhang, Shuting Dong, Xinyan Liang, Bingbing Jiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification.

Li Lv, Qian Guo, Li Zhang, Liang Du, Bingbing Jiang, Lu Chen, Xinyan Liang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Signal Enhancement via Multi-view Dynamic Representation and Alignment-aware Fusion.

Zikun Jin, Yuhua Qian, Xinyan Liang, Jiaqian Zhang, Jinpeng Yuan, Shen Hu, Haijun Geng, Honghong Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mixed attribute reduction in limited labeled data: a local neighborhood rough set approach.

Qian Guo, Xinyan Liang, Zhihua Cui, Junyan Wang, Zhaoyi Wu

Int. J. Mach. Learn. Cybern., November, 2025

Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation.

Bingbing Jiang, Chenglong Zhang, Zhongli Wang, Xinyan Liang, Peng Zhou, Liang Du, Qinghua Zhang, Weiping Ding, Yi Liu

IEEE Trans. Fuzzy Syst., September, 2025

Core structure-guided multi-modal classification via Monte Carlo Tree Search.

Guoqing Liu, Yuhua Qian, Xinyan Liang, Pinhan Fu

Int. J. Mach. Learn. Cybern., September, 2025

Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation.

Zhangqi Jiang, Tingjin Luo, Xu Yang, Xinyan Liang

CoRR, September, 2025

Balanced Multimodal Learning: An Unidirectional Dynamic Interaction Perspective.

Shijie Wang, Li Zhang, Xinyan Liang, Yuhua Qian, Shen Hu

CoRR, September, 2025

FASTEN: Fuzzy Neural Support Vector Machine for Classification.

Zhian Yuan, Yuhua Qian, Xinyan Liang, Yi Kou, Chenping Hou, Qinghua Hu

IEEE Trans. Fuzzy Syst., August, 2025

Multi-Scale Features Are Effective for Multi-Modal Classification: An Architecture Search Viewpoint.

Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Yayu Zhang, Qin Huang, Ke Tang

IEEE Trans. Circuits Syst. Video Technol., February, 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

Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias.

Xinyan Liang, Shuai Li, Qian Guo, Yuhua Qian, Bingbing Jiang, Tingjin Luo, Liang Du

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Multi-view Clustering via Multi-granularity Ensemble.

Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

An Association-based Fusion Method for Speech Enhancement.

Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

View-Association-Guided Dynamic Multi-View Classification.

Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform.

Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing.

Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang, Yuhua Qian, Zhixia Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Stabilizing Sample Similarity in Representation via Mitigating Random Consistency.

Jieting Wang, Zelong Zhang, Feijiang Li, Yuhua Qian, Xinyan Liang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Trusted Multi-View Classification with Expert Knowledge Constraints.

Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Robust Automatic Modulation Classification with Fuzzy Regularization.

Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Trusted Multi-View Classification via Evolutionary Multi-View Fusion.

Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement.

Shuai Jin, Yuhua Qian, Feijiang Li, Guoqing Liu, Xinyan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Deep Hybrid GRU Model for Precise Orbit Forecasting of LEO Satellites Network.

Zhijun He, Xinyan Liang, Hongbo Zhao, Ling Zhao

Proceedings of the 2025 11th International Conference on Communication and Information Processing, 2025

MCSAF: Modality-Common and -Specific Representations for Multimodal Medical Image Alignment and Fusion.

Qin Huang, Yuhua Qian, Xinyan Liang, Wenping Zheng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Enhanced Denesity Peak Clustering for High-Dimensional Data.

Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering.

Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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