教育部人文社科青年基金项目，18XJC72040001，迭代信念修正若干关键问题研究，2018/07-2021/07，8万元，主持

国家自然科学基金面上项目，61773324，面向城市大数据的深度学习模型与方法研究，2018/01-2020/12，63万元，主研

中央高校基金基本科研业务费西南交通大学科技创新项目，2682016CX112，关于迭代的多语句信念修正的研究，2016/01-2017/12，10万元，主持

国家自然科学青年科学基金项目，61100046，关于程度化格值一阶逻辑的若干关键问题研究，2012/01-2014/12，21万元，参加。 

四川省应用基础研究计划项目，2011JY0092，智能信息处理的逻辑基础理论研究，2011/09-2014/08，5万元，已结题，参加。 

国家自然科学基金委员会资助项目：不确定性推理及其在形式计算理论中的应用（编号为10871137），起止年月为：2009.01－2011.12，参加

一、期刊论文

[J1] Wenbin Gao, Hua Meng*, Zhengchun Zhou, Ming Li, Ruibin Ren. Adaptive multi-view subspace clustering with dynamic prior update. Applied Soft Computing, 193: 114848, 2026.

[J2] Wenbin Gao, Hua Meng*, Zhengchun Zhou, Zhiguo Long. Shared and cross-view confidence guided multi-view density peak clustering. Information Sciences, 754: 123706, 2026.

[J3] Wenbin Gao, Hua Meng*, Ruibin Ren. From subspace fusion to structure discovery: an adaptive structure-guided framework for multi-view subspace clustering. Knowledge and Information Systems, 68(1): 239, 2026.

[J4] Yuhao Wang, Hua Meng, Zhengchun Zhou*, Meng Ding, Wenqiang Zeng. Deep structure alignment network for scalable unsupervised domain adaptation. Knowledge-Based Systems, 340: 115641, 2026.

[J5] Jiahuang Yang, Zhengchun Zhou, Zhiguo Long, Hua Meng*. DCM: Robust out-of-distribution detection via Deep Class Medoids. Knowledge-Based Systems, 346: 116160, 2026.

[J6] Jiahuang Yang, Yuhao Wang, Meng Yang*, Hua Meng. Signal classification based on multi-Scale time-Frequency transformer. Physics Communications, 75: 103022, 2026.

[J7] Zhiguo Long, Yinghao He, Hua Meng*, Tianrui Li. Hierarchical order preserving spectral embedding. Pattern Recognition, 173: 112758, 2026.

[J8] Chun Zhou, Hua Meng, Zhiguo Long, Mingxing Zhang, Zhengchun Zhou*. AdaPT: Adaptive position trigger for improving backdoor attacks in transfer learning. Pattern Recognition, 180: 114247, 2026.

[J9] Tao Feng, Zengrui Yi*, Hua Meng. PCFNet: frequency- and field-guided dual-polarization radar echo image sequence prediction. Signal, Image and Video Processing, 20(11): 605, 2026.

[J10] Zengrui Yi, Hua Meng*, Lu Gao, Zhonghang He, Meng Yang. Efficient convolutional dual-attention transformer for automatic modulation recognition. Applied Intelligence, 55(3): 231, 2025.

[J11] Kaibin Li, Yihuai Liang*, Hua Meng, Zhengchun Zhou. Deep metric learning-based side-channel analysis with improved robustness and efficiency. Applied Intelligence, 55(7): 712, 2025.

[J12] Zhiguo Long, Rui Guan, Yi Gao, Hua Meng, Rong Luo*. Subspace clustering with self-representation sparsification and regression via connected components. Applied Soft Computing, 179: 113262, 2025.

[J13] Hua Meng, Chuan Qin*, Zhiguo Long. scHNTL: single-cell RNA-seq data clustering augmented by high-order neighbors and triplet loss. Bioinformatics, 41(2), 2025.

[J14] Yilong Cai, Qianyu Shu*, Zhengchun Zhou, Hua Meng. Incomplete multi-view clustering based on information fusion with self-supervised learning. Information Fusion, 117: 102849, 2025.

[J15] Hua Meng, Yueyi Zhang*, Zhiguo Long. Deep spectral clustering by integrating local structure and prior information. Knowledge-Based Systems, 308: 112743, 2025.

[J16] Chun Zhou, Hua Meng, Ming Li, Zhengchun Zhou*. On Learning Label Noise Robust Networks via Regularization: A Topological View. IEEE Transactions on Neural Networks and Learning Systems, 36(9): 16156-16170, 2025.

[J17] Xinyi Fu, Zhengchun Zhou, Hua Meng*, Shuting Li. A synthetic aperture radar small ship detector based on transformers and multi-dimensional parallel feature extraction. Engineering Applications of Artificial Intelligence, 137: 109049, 2024.

[J18] Zhiguo Long, Qingqian Li, Hua Meng*, Michael Sioutis. A machine learning based approach for generating point sketch maps from qualitative directional information. International Journal of Geographical Information Science, 38(9): 1881-1911, 2024.

[J19] Zhiguo Long, Yang Gao, Hua Meng, Yuxu Chen*, Hui Kou. Semi-supervised clustering guided by pairwise constraints and local density structures. Pattern Recognition, 156: 110751, 2024.

[J20] Zicheng Wang, Wei Xie, Zhengchun Zhou*, Hua Meng, Meng Yang. Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference. IEEE Transactions on Aerospace and Electronic Systems, 60(4): 4463-4478, 2024.

[J21] Hua Meng, Hanlin Zhang, Yu Ding, Shuxia Ma, Zhiguo Long*. Component preserving laplacian eigenmaps for data reconstruction and dimensionality reduction. Applied Intelligence, 53(23): 28570-28591, 2023.

[J22] Bingsheng Shen, Hua Meng*, Yang Yang, Zhengchun Zhou. New constructions of Z-complementary code sets and mutually orthogonal complementary sequence sets. Designs, Codes and Cryptography, 91(2): 353-371, 2023.

[J23] Xiaoyan Zhang, Zhengchun Zhou, Ying Han, Hua Meng*, Meng Yang, Sutharshan Rajasegarar. Deep learning-based real-time 3D human pose estimation. Engineering Applications of Artificial Intelligence, 119: 105813, 2023.

[J24] Zhongxia Zhang, Zhengchun Zhou*, Xue Yang, Hua Meng, Guohua Wu. Convolutional neural network based on multi-directional local coding for finger vein recognition. Information Sciences, 623: 633-647, 2023.

[J25] Yuqin Yao, Hua Meng, Yang Gao, Zhiguo Long*, Tianrui Li. Linear dimensionality reduction method based on topological properties. Information Sciences, 624: 493-511, 2023.

[J26] Jielei Chu, Jing Liu, Hongjun Wang, Hua Meng, Zhiguo Gong, Tianrui Li*. Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6): 7542-7558, 2023.

[J27] Yu-Xuan Zhang, Hua Meng, Xuemei Cao, Zhengchun Zhou*, Mei Yang, Avik Ranjan Adhikary. Interpreting vulnerabilities of multi-instance learning to adversarial perturbations. Pattern Recognition, 142: 109725, 2023.

[J28] Zhiguo Long, Michael Sioutis, Qingqian Li, Hua Meng*, Heng-Chao Li. Approximating Region Boundaries Based on Qualitative and Quantitative Information. IEEE Intelligent Systems, 37(6): 38-47, 2022.

[J30] Zhiguo Long, Yang Gao, Hua Meng*, Yuqin Yao, Tianrui Li. Clustering based on local density peaks and graph cut. Information Sciences, 600: 263-286, 2022.

[J31] Zhiguo Long, Hua Meng*, Tianrui Li, Heng-Chao Li, Michael Sioutis. A framework for belief revision under restrictions. Knowledge Engineering Review, 37: e8, 2022.

   二、会议论文

[C1] Qinghui Gong, Xue Yang*, Xunlei Chen, Jinshan Lai, Hua Meng, Xiaohu Tang. FedOrtho: Efficient Federated Unlearning via Orthogonal Convolution and Adaptive Soft Pruning. CVPR 2026 (Findings), pp. 8009-8018.

[C2] Zhichang Xu, Zhiguo Long*, Hua Meng*. Clustering by Mining Density Distributions and Splitting Manifold Structure. AAAI 2025, pp. 21842-21849.

[C3] Haowen Ma, Zhiguo Long*, Hua Meng*. TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization. ICML 2025.

[C4] Hua Meng, Zhiguo Long*, Michael Sioutis, Zhengchun Zhou. On Definite Iterated Belief Revision with Belief Algebras. IJCAI 2025, pp. 4588-4596.

[C5] Zhiguo Long, Qiyuan Hu, Hua Meng*, Michael Sioutis. An Incremental Algorithm for Handling Qualitative Spatio-Temporal Information. COSIT 2022, 5:1-5:13.

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