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, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du. Robust automatic modulation classification with fuzzy regularization. In: Proceedings of the Forty-second International Conference on Machine Learning (ICML-25), 2025. (CCF-A, spotlight,2.6%)[[Paper]] [Code]

[3] Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li. Trusted multi-view classification with expert knowledge constraints. In: Proceedings of the Forty-second International Conference on Machine Learning (ICML-25), 2025. (CCF-A, spotlight,2.6%)[[Paper]] [Code]

[4] Jieting Wang, Zelong Zhang, Fijiang Li, Yuhua Qian, Xinyan Liang. Stabilizing sample similarity in representation via mitigating random consistency. In: Proceedings of the Forty-second International Conference on Machine Learning (ICML-25), 2025. (CCF-A, poster,26.9%)[[Paper]] [Code]

[5] 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]

[6] 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]

[7] Bingbing Jiang, Chenglong Zhang, Xinyan Liang(通讯), 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]

[8] 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]

[9] Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen. View-association-guided dynamic multi-view classification. In: Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-25), 2025. (CCF-A, 19.3%)[[Paper]] [Code]

[10] Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhiyan Yuan, Xinyan Liang(通讯). An association-based fusion method for speech enhancement. In: Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-25), 2025. (CCF-A, 19.3%)[[Paper]] [Code]

[11] Zhihua Cui, Shiwu Sun, Qian Guo, Xinyan Liang(通讯), Yuhua Qian, Zhixia Zhang. A fast neural architecture search method for multi-modal classification via Knowledge Sharing. In: Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-25), 2025. (CCF-A, 19.3%)[[Paper]] [Code]

[12] Jie Yang, Wei Chen, Feng Liu, Peng Zhou, Zhongli Wang, Xinyan Liang(通讯), Bingbing Jiang. Multi-view clustering via multi-granularity ensemble. In: Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-25), 2025. (CCF-A, 19.3%)[[Paper]] [Code]

[13] Zikun Jin, Yuhua Qian, Xinyan Liang, Haijun Geng. A multi-view fusion approach for enhancing speech signals via short-time fractional fourier transform. In: Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-25), 2025. (CCF-A, 19.3%)[[Paper]] [Code]

[14] Shuai Jin, Yuhua Qian, Feijiang Li, Guoqing Liu, Xinyan Liang. PASD: A pixel-adaptive swarm dynamics approach for unsupervised low-light image enhancement. In: Proceedings of the International Conference on Computer Vision (ICCV-25), 2025. (CCF-A, %)[[Paper]] [Code]

[15] Zhian Yuan, Yuhua Qian, Xinyan Liang, Yi Kou, Chenping Hou, Qinghua Hu. FASTEN: Fuzzy neural support vector machine for classification. IEEE Transactions on Fuzzy Systems(TFS), 2025. ( SCI一区Top) [Paper] [Code]

[16] 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 Transactions on Fuzzy Systems(TFS), 2025. ( SCI一区Top) [Paper] [Code]

[17] Yantao Song, Xiangchong Jia, Jieru Jia, Yudong Liang, Xinyan Liang(通讯). 3D portrait stylization with adaptive semantic editing based on GAN latent codes. Pattern Recognition(PR), 2026,171:112069. ( SCI一区Top) [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(通讯), 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]