Selected Publications

*indicating the corresponding author
#indicating the co-first author

2025

[1] Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu. Trusted multi-view classification via evolutionary multi-view fusion. In: Proceedings of the 13th International Conference on Learning Representations (ICLR), 2025. Singapore EXPO, Apr. 24-28, 2025,1-14. (机器学习三大顶会之一)[Paper] [Code]

[2] Xinyan Liang, Yuhua Qian, Qian Guo, Keyin Zheng. A data representation method using distance correlation. Frontiers of Computer Science, 2025,19(1):191303. (CCF-B) [Paper] [Code] [报道]

[3] Pinhan Fu, Xinyan Liang, Yuhua Qian, Qian Guo, Yayu Zhang, Qin Huang. Multi-scale features are effective for multi-modal classification: An architecture search viewpoint. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025,35(2):1070-1083. ( SCI一区Top) [Paper] [Code]

[4] 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. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25),2025,39(17):17617-17625. (CCF-A)[Paper] [Code]

[5] Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng. Enhanced denesity peak clustering for high-dimensional data. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25), 2025,39(20):21411-21419. (CCF-A)[Paper] [Code]

2024

[1] Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian. DC-NAS: Divide-and-conquer neural architecture search for multi-modal classification. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 2024,38(12):13754-13762. Vancouver, Canada, Feb. 20-27, 2024 (CCF-A Oral) [Paper] [Code]

[2] Zhangqi Jiang, Tingjin Luo, Xinyan Liang. Deep incomplete multi-view learning network with insufficient label information. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 2024,38(11): 12919-12927. Vancouver, Canada, Feb. 20-27, 2024 (CCF-A) [Paper] [Code]

[3] Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian. Core-structures-guided multi-modal classification neural architecture search, In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24),2024:3980-3988. (CCF-A) [Paper] [Code]

[4] 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. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24),2024:5443-5452. (CCF-A) [Link] [Source Code]

[5] Qian Guo, Xinyan Liang, Yuhua Qian, Zhihua Cui, Jie Wen. A progressive skip reasoning fusion method for multi-modal classification. In: Proceedings of the 32nd ACM MULTIMEDIA 2024 (ACM MM-24), 2024. Melbourne, Australia, 28 October-1 November, 2024:429-437. (CCF-A Oral 录用率4385=3.97%) [Paper][Code]

[6] 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. In: Proceedings of the 32nd ACM MULTIMEDIA 2024 (ACM MM-24), 2024. Melbourne, Australia, 28 October-1 November, 2024:9126-9135. (CCF-A) [Paper] [Code]

[7] 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. In: Proceedings of the 32nd ACM MULTIMEDIA 2024 (ACM MM-24), 2024. Melbourne, Australia, 28 October-1 November, 2024:5479-5488. (CCF-A) [Paper] Code

[8] Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang. ESSR: Evolving sparse sharing representation for multi-task learning. IEEE Transactions on Evolutionary Computation (IEEE TEVC), 2024,28(3):748-762. (CCF-B, SCI一区Top) [Paper] [Code]

[9] Tao Li, Yuhua Qian, Feijiang Li, Xinyan Liang, Zhi-hui Zhan. Feature subspace learning-based binary differential evolution algorithm for unsupervised feature selection. IEEE Transactions on Big Data,2024.

2023 and before

[1] Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang. AF: An association-based fusion method for multi-modal classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) , 2022,44(12): 9236-9254. (CCF-A, SCI一区Top) [Paper] [Code]

[2] Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang. Evolutionary deep fusion method and its application in chemical structure recognition. IEEE Transactions on Evolutionary Computation (IEEE TEVC), 2021,25(5):883-893. (CCF-B, SCI一区Top) [Paper] [Code]

[3] 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. International Journal of Approximate Reasoning (IJAR), 2018,97:38-63. (CCF-B) [Paper] [Code]

[4] Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang. Local multigranulation decision-theoretic rough sets. International Journal of Approximate Reasoning(IJAR), 2017,82:119-137. (CCF-B) [Paper] [Code]

[5] Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang. Local neighborhood rough set. Knowledge-Based Systems(KBS), 2018,153:53-64. (SCI一区) [Paper] [Code]

[6] Qian Guo, Yuhua Qian, Xinyan Liang. GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy. International Journal of Approximate Reasoning(IJAR), 2022,143:78-101. (CCF-B) [Paper] [Code]

[7] Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang. Logic could be learned from images. International Journal of Machine Learning and Cybernetics(JMLC), 2021,12:3397–3414.

[8] Qian Guo, Yuhua Qian, Xinyan Liang, Junyu Chen, Honghong Cheng. Multi-granulation multi-scale relation network for abstract reasoning. International Journal of Machine Learning and Cybernetics(JMLC), 2022,13:1751–1762.

[9] Yan Chen, Qian Guo, Xinyan Liang, Jiang Wang, Yuhua Qian. Environmental sound classification with dilated convolutions. Applied Acoustics, 2019,148:123-132.

[10] Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Hongjun Wang. Auto-attention mechanism for multi-view deep embedding clustering. Pattern Recognition (PR), 2023(143):109764.(CCF-B) [Paper] [Code]

[11] Qian Liu, Xia Zhang, Xinyan Liang, Yuhua Qian, Shanshan Yao，AWLloss: Speaker verification based on the quality and difficulty of speech. IEEE Signal Processing Letters (SPL),2023(30):1337-1341.

[12] 梁新彦, 钱宇华, 郭倩, 黄琴. 多粒度融合驱动的超多视图分类方法. 计算机研究与发展, 2022, 59(8):1653-1667. (CCF-A) [Paper] [Code]

[13] 张璐，曹峰，梁新彦, 钱宇华. 基于关联特征传播的跨模态检索. 计算机研究与发展, 2022, 59(9):1993-2002. (CCF-A) [Paper] [Code]