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2020 – today
- 2026
[j23]Yantao Song
, Xiangchong Jia, Jieru Jia, Yudong Liang, Xinyan Liang:
3D Portrait Stylization with Adaptive Semantic Editing based on GAN Latent Codes. Pattern Recognit. 171: 112069 (2026)- 2025
- [j22]Xinyan Liang, Yuhua Qian, Qian Guo, Keyin Zheng:
A data representation method using distance correlation. Frontiers Comput. Sci. 19(1): 191303 (2025) - [j21]Guoqing Liu, Yuhua Qian, Xinyan Liang, Pinhan Fu:
Core structure-guided multi-modal classification via Monte Carlo Tree Search. Int. J. Mach. Learn. Cybern. 16(9): 5943-5953 (2025) - [j20]Qian Guo, Xinyan Liang, Zhihua Cui, Junyan Wang, Zhaoyi Wu:
Mixed attribute reduction in limited labeled data: a local neighborhood rough set approach. Int. J. Mach. Learn. Cybern. 16(11): 9697-9715 (2025) - [j19]Tao Li, Yuhua Qian, Feijiang Li, Xinyan Liang, Zhi-Hui Zhan:
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection. IEEE Trans. Big Data 11(1): 99-114 (2025) - [j18]Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Yayu Zhang, Qin Huang, Ke Tang:
Multi-Scale Features Are Effective for Multi-Modal Classification: An Architecture Search Viewpoint. IEEE Trans. Circuits Syst. Video Technol. 35(2): 1070-1083 (2025) - [j17]Zhian Yuan, Yuhua Qian, Xinyan Liang, Yi Kou, Chenping Hou, Qinghua Hu:
FASTEN: Fuzzy Neural Support Vector Machine for Classification. IEEE Trans. Fuzzy Syst. 33(8): 2663-2674 (2025) - [j16]Bingbing Jiang, Chenglong Zhang, Zhongli Wang, Xinyan Liang, Peng Zhou, Liang Du, Qinghua Zhang, Weiping Ding, Yi Liu:
Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation. IEEE Trans. Fuzzy Syst. 33(9): 3047-3060 (2025) - [c21]Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng:
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. AAAI 2025: 17617-17625 - [c20]Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng:
Enhanced Denesity Peak Clustering for High-Dimensional Data. AAAI 2025: 21411-21419 - [c19]Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu:
Trusted Multi-View Classification via Evolutionary Multi-View Fusion. ICLR 2025 - [c18]Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du:
Robust Automatic Modulation Classification with Fuzzy Regularization. ICML 2025 - [c17]Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li:
Trusted Multi-View Classification with Expert Knowledge Constraints. ICML 2025 - [c16]Jieting Wang, Zelong Zhang, Feijiang Li, Yuhua Qian, Xinyan Liang:
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency. ICML 2025 - [c15]Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang, Yuhua Qian, Zhixia Zhang:
A Fast Neural Architecture Search Method for Multi-Modal Classification via Knowledge Sharing. IJCAI 2025: 5003-5011 - [c14]Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng:
A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform. IJCAI 2025: 5508-5516 - [c13]Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen:
View-Association-Guided Dynamic Multi-View Classification. IJCAI 2025: 5680-5688 - [c12]Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang:
An Association-based Fusion Method for Speech Enhancement. IJCAI 2025: 6406-6414 - [c11]Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang, Bingbing Jiang:
Multi-view Clustering via Multi-granularity Ensemble. IJCAI 2025: 6794-6802 - [i4]Shijie Wang, Li Zhang, Xinyan Liang, Yuhua Qian, Shen Hu:
Balanced Multimodal Learning: An Unidirectional Dynamic Interaction Perspective. CoRR abs/2509.02281 (2025) - [i3]Zhangqi Jiang, Tingjin Luo, Xu Yang, Xinyan Liang:
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation. CoRR abs/2509.15955 (2025) - 2024
- [j15]Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang:
ESSR: Evolving Sparse Sharing Representation for Multitask Learning. IEEE Trans. Evol. Comput. 28(3): 748-762 (2024) - [c10]Zhangqi Jiang, Tingjin Luo, Xinyan Liang:
Deep Incomplete Multi-View Learning Network with Insufficient Label Information. AAAI 2024: 12919-12927 - [c9]Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian:
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification. AAAI 2024: 13754-13762 - [c8]Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian:
Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. IJCAI 2024: 3980-3988 - [c7]Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng:
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. IJCAI 2024: 5443-5452 - [c6]Qian Guo, Xinyan Liang, Yuhua Qian, Zhihua Cui, Jie Wen:
A Progressive Skip Reasoning Fusion Method for Multi-Modal Classification. ACM Multimedia 2024: 429-437 - [c5]Chenglong Zhang, Xinyan Liang, Peng Zhou, Zhaolong Ling, Yingwei Zhang, Xingyu Wu, Weiguo Sheng, Bingbing Jiang:
Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion. ACM Multimedia 2024: 5479-5488 - [c4]Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Zhifang Wei, Wen Li:
CoMO-NAS: Core-Structures-Guided Multi-Objective Neural Architecture Search for Multi-Modal Classification. ACM Multimedia 2024: 9126-9135 - 2023
- [j14]Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Hongjun Wang:
Auto-attention mechanism for multi-view deep embedding clustering. Pattern Recognit. 143: 109764 (2023) - [j13]Qian Liu, Xia Zhang, Xinyan Liang, Yuhua Qian, Shanshan Yao:
AWLloss: Speaker Verification Based on the Quality and Difficulty of Speech. IEEE Signal Process. Lett. 30: 1337-1341 (2023) - 2022
- [j12]Qian Guo, Yuhua Qian, Xinyan Liang:
GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy. Int. J. Approx. Reason. 143: 78-101 (2022) - [j11]Qian Guo, Yuhua Qian, Xinyan Liang:
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]. Int. J. Approx. Reason. 151: 271 (2022) - [j10]Qian Guo, Yuhua Qian, Xinyan Liang, Junyu Chen, Honghong Cheng:
Multi-granulation Multi-scale Relation Network for Abstract Reasoning. Int. J. Mach. Learn. Cybern. 13(6): 1751-1762 (2022) - [j9]Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang:
AF: An Association-Based Fusion Method for Multi-Modal Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9236-9254 (2022) - 2021
- [j8]Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Yimiao Zhao:
Deep embedding clustering based on contractive autoencoder. Neurocomputing 433: 96-107 (2021) - [j7]Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. Int. J. Mach. Learn. Cybern. 12(12): 3397-3414 (2021) - [j6]Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang:
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. IEEE Trans. Evol. Comput. 25(5): 883-893 (2021)
2010 – 2019
- 2019
- [j5]Sulan Zhai, Pengpeng Shao, Xinyan Liang, Xin Wang:
Fast RGB-T Tracking via Cross-Modal Correlation Filters. Neurocomputing 334: 172-181 (2019) - [j4]Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, Jin Tang:
RGB-T object tracking: Benchmark and baseline. Pattern Recognit. 96 (2019) - [c3]Qian Guo, Yuhua Qian, Xinyan Liang:
Mining Logic Patterns from Visual Data. ICDM Workshops 2019: 620-627 - [i2]Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. CoRR abs/1908.01931 (2019) - 2018
- [j3]Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang:
Local rough set: A solution to rough data analysis in big data. Int. J. Approx. Reason. 97: 38-63 (2018) - [j2]Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang:
Local neighborhood rough set. Knowl. Based Syst. 153: 53-64 (2018) - [c2]Xinyan Liang, Xiao Wang, Jin Tang, Chenglong Li:
Learning Noise-Aware Correlation Filter for Visual Tracking. Big Data (CCF) 2018: 210-226 - [c1]Zichun Zhang, Xinyan Liang, Chenglong Li:
Adaptively Learning Background-Aware Correlation Filter for Visual Tracking. IGTA 2018: 517-526 - [i1]Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, Jin Tang:
RGB-T Object Tracking: Benchmark and Baseline. CoRR abs/1805.08982 (2018) - 2017
- [j1]Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang:
Local multigranulation decision-theoretic rough sets. Int. J. Approx. Reason. 82: 119-137 (2017)
Coauthor Index
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