Local multigranulation decision-theoretic rough sets. - Yuhua Qian; Xinyan Liang; Guoping Lin; Qian Guo; Jiye Liang (Int. J. Approx. Reason., 2017)

Learning Noise-Aware Correlation Filter for Visual Tracking. - Xinyan Liang; Xiao Wang 014; Jin Tang 001; Chenglong Li 002 (Big Data (CCF), 2018)

Adaptively Learning Background-Aware Correlation Filter for Visual Tracking. - Zichun Zhang; Xinyan Liang; Chenglong Li 002 (IGTA, 2018)

Local rough set: A solution to rough data analysis in big data. - Yuhua Qian; Xinyan Liang; Qi Wang; Jiye Liang; Bing Liu 001; Andrzej Skowron; Yiyu Yao; Jianmin Ma; Chuangyin Dang (Int. J. Approx. Reason., 2018)

Local neighborhood rough set. - Qi Wang; Yuhua Qian; Xinyan Liang; Qian Guo; Jiye Liang (Knowl. Based Syst., 2018)

Mining Logic Patterns from Visual Data. - Qian Guo; Yuhua Qian; Xinyan Liang (ICDM Workshops, 2019)

Fast RGB-T Tracking via Cross-Modal Correlation Filters. - Sulan Zhai; Pengpeng Shao; Xinyan Liang; Xin Wang (Neurocomputing, 2019)

RGB-T object tracking: Benchmark and baseline. - Chenglong Li 002; Xinyan Liang; Yijuan Lu; Nan Zhao; Jin Tang 001 (Pattern Recognit., 2019)

Deep embedding clustering based on contractive autoencoder. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Xinyan Liang; Yimiao Zhao (Neurocomputing, 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)

Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. - Xinyan Liang; Qian Guo; Yuhua Qian; Weiping Ding 001; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2021)

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)

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)

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)

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)

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)

Auto-attention mechanism for multi-view deep embedding clustering. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Xinyan Liang; Hongjun Wang 002 (Pattern Recognit., 2023)

Deep Incomplete Multi-View Learning Network with Insufficient Label Information. - Zhangqi Jiang; Tingjin Luo; Xinyan Liang (AAAI, 2024)

DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification. - Xinyan Liang; Pinhan Fu; Qian Guo; Keyin Zheng; Yuhua Qian (AAAI, 2024)

Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. - Pinhan Fu; Xinyan Liang; Tingjin Luo; Qian Guo; Yayu Zhang; Yuhua Qian (IJCAI, 2024)

Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. - Chenglong Zhang; Yang Fang; Xinyan Liang; Han Zhang; Peng Zhou 006; Xingyu Wu; Jie Yang 052; Bingbing Jiang 001; Weiguo Sheng 001 (IJCAI, 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 (ACM Multimedia, 2024)

A Progressive Skip Reasoning Fusion Method for Multi-Modal Classification. - Qian Guo; Xinyan Liang; Yuhua Qian; Zhihua Cui; Jie Wen 008 (ACM Multimedia, 2024)

Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion. - Chenglong Zhang; Xinyan Liang; Peng Zhou 006; Zhaolong Ling; Yingwei Zhang 002; Xingyu Wu; Weiguo Sheng 001; Bingbing Jiang 001 (ACM Multimedia, 2024)

ESSR: Evolving Sparse Sharing Representation for Multitask Learning. - Yayu Zhang; Yuhua Qian; Guoshuai Ma; Xinyan Liang; Guoqing Liu; Qingfu Zhang 001; Ke Tang 001 (IEEE Trans. Evol. Comput., 2024)

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. - Bingbing Jiang 001; Chenglong Zhang; Xinyan Liang; Peng Zhou 006; Jie Yang 052; Xingyu Wu; Junyi Guan; Weiping Ding 001; Weiguo Sheng 001 (AAAI, 2025)

Enhanced Denesity Peak Clustering for High-Dimensional Data. - Zhongli Wang; Jie Yang 052; Junyi Guan; Chenglong Zhang; Xinyan Liang; Bingbing Jiang 001; Weiguo Sheng 001 (AAAI, 2025)

Trusted Multi-View Classification via Evolutionary Multi-View Fusion. - Xinyan Liang; Pinhan Fu; Yuhua Qian; Qian Guo; Guoqing Liu (ICLR, 2025)

A data representation method using distance correlation. - Xinyan Liang; Yuhua Qian; Qian Guo; Keyin Zheng (Frontiers Comput. Sci., 2025)

Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection. - Tao Li 023; Yuhua Qian; Feijiang Li; Xinyan Liang; Zhi-Hui Zhan (IEEE Trans. Big Data, 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 005; Ke Tang 001 (IEEE Trans. Circuits Syst. Video Technol., 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., 2025)

Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation. - Bingbing Jiang 001; Chenglong Zhang; Zhongli Wang; Xinyan Liang; Peng Zhou 006; Liang Du 003; Qinghua Zhang 001; Weiping Ding 001; Yi Liu 037 (IEEE Trans. Fuzzy Syst., 2025)

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)