A Topological Characterisation of Belief Revision over Infinite Propositional Languages. - Hua Meng 001; Sanjiang Li (PRICAI, 2014)

Belief Revision with General Epistemic States. - Hua Meng 001; Hui Kou; Sanjiang Li (AAAI, 2015)

A Topological Characterization of Multiple Revision. - Hua Meng 001; Tianrui Li 001 (ISKE, 2015)

Belief Revision over Infinite Propositional Language. - Hua Meng 001; Yayan Yuan; Jielei Chu; Hongjun Wang 002 (KSEM, 2015)

AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator). - Hua Meng 001; Yayan Yuan; Jielei Chu; Hongjun Wang 002 (计算机科学, 2016)

Dimensionality reduction by soft-margin support vector machine. - Ruipeng Dong; Hua Meng 001; Zhiguo Long; Hailiang Zhao (ICA, 2017)

Relationship among different constructive models of belief revision. - Hua Meng 001; Hailiang Zhao; Jielei Chu (ICCA, 2017)

Hyperspectral Image Classification via Low-Rank and Sparse Representation With Spectral Consistency Constraint. - Lei Pan 003; Heng-Chao Li 001; Hua Meng 001; Wei Li 032; Qian Du 001; William J. Emery (IEEE Geosci. Remote. Sens. Lett., 2017)

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering. - Jielei Chu; Tianrui Li 001; Hongjun Wang 002; Jing Liu; Hua Meng 001 (CoRR, 2018)

基于数据分布特征的线性孪生支持向量机 (Linear Twin Support Vector Machine Based on Data Distribution Characteristics). - Ruiyang Song; Hua Meng 001; Zhiguo Long (计算机科学, 2019)

Social web video clustering based on multi-view clustering via nonnegative matrix factorization. - Vinath Mekthanavanh; Tianrui Li 001; Hua Meng 001; Yan Yang 001; Jie Hu 007 (Int. J. Mach. Learn. Cybern., 2019)

Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints. - Jielei Chu; Hongjun Wang 002; Hua Meng 001; Peng Jin; Tianrui Li 001 (IEEE Trans. Cybern., 2019)

Semi-Supervised Dimensionality Reduction by Linear Compression and Stretching. - Zhiguo Long; Hua Meng 001; Michael Sioutis (IEEE Access, 2020)

Compact geometric representation of qualitative directional knowledge. - Zhiguo Long; Hua Meng 001; Tianrui Li 001; Sanjiang Li (Knowl. Based Syst., 2020)

A Logic for Iterated Belief Revision. - Hua Meng 001; Zhiguo Long; Yong Wang; Bin Xing; Hui Zhang (ISKE, 2021)

Towards Robust Qualitative Spatio-Temporal Reasoning for Hybrid AI Systems. - Michael Sioutis; Hua Meng 001 (ISKE, 2021)

An Incremental Algorithm for Handling Qualitative Spatio-Temporal Information. - Zhiguo Long; Qiyuan Hu; Hua Meng 001; Michael Sioutis (COSIT, 2022)

Approximating Region Boundaries Based on Qualitative and Quantitative Information. - Zhiguo Long; Michael Sioutis; Qingqian Li; Hua Meng 001; Heng-Chao Li 001 (IEEE Intell. Syst., 2022)

Clustering based on local density peaks and graph cut. - Zhiguo Long; Yang Gao; Hua Meng 001; Yuqin Yao; Tianrui Li 001 (Inf. Sci., 2022)

A framework for belief revision under restrictions. - Zhiguo Long; Hua Meng 001; Tianrui Li 001; Heng-Chao Li 001; Michael Sioutis (Knowl. Eng. Rev., 2022)

New Constructions of Quadriphase Periodic Almost-Complementary Pairs. - Tao Yu; Yang Yang 005; Hua Meng 001; Yong Wang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Enhanced Density Clustering Based on Density Decay Structure and Spectral Clustering. - Yutong Ke; Zhiguo Long; Hua Meng 001 (ISKE, 2023)

New constructions of Z-complementary code sets and mutually orthogonal complementary sequence sets. - Bingsheng Shen; Hua Meng 001; Yang Yang 005; Zhengchun Zhou (Des. Codes Cryptogr., 2023)

Deep learning-based real-time 3D human pose estimation. - Xiaoyan Zhang; Zhengchun Zhou; Ying Han; Hua Meng 001; Meng Yang 007; Sutharshan Rajasegarar (Eng. Appl. Artif. Intell., 2023)

Linear dimensionality reduction method based on topological properties. - Yuqin Yao; Hua Meng 001; Yang Gao; Zhiguo Long; Tianrui Li 001 (Inf. Sci., 2023)

Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. - Jielei Chu; Jing Liu; Hongjun Wang 002; Hua Meng 001; Zhiguo Gong; Tianrui Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Component preserving laplacian eigenmaps for data reconstruction and dimensionality reduction. - Hua Meng 001; Hanlin Zhang; Yu Ding; Shuxia Ma; Zhiguo Long (Appl. Intell., 2023)

TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization. - Haowen Ma; Zhiguo Long; Hua Meng 001 (CoRR, 2024)

A synthetic aperture radar small ship detector based on transformers and multi-dimensional parallel feature extraction. - Xinyi Fu; Zhengchun Zhou; Hua Meng 001; Shuting Li (Eng. Appl. Artif. Intell., 2024)

Semi-supervised clustering guided by pairwise constraints and local density structures. - Zhiguo Long; Yang Gao; Hua Meng 001; Yuxu Chen; Hui Kou (Pattern Recognit., 2024)

Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference. - Zicheng Wang; Wei Xie; Zhengchun Zhou; Hua Meng 001; Meng Yang 007 (IEEE Trans. Aerosp. Electron. Syst., 2024)

A machine learning based approach for generating point sketch maps from qualitative directional information. - Zhiguo Long; Qingqian Li; Hua Meng 001; Michael Sioutis (Int. J. Geogr. Inf. Sci., 2024)

Clustering by Mining Density Distributions and Splitting Manifold Structure. - Zhichang Xu; Zhiguo Long; Hua Meng 001 (AAAI, 2025)

Subspace clustering with self-representation sparsification and regression via connected components. - Zhiguo Long; Rui Guan; Yi Gao; Hua Meng 001; Rong Luo (Appl. Soft Comput., 2025)

Deep spectral clustering by integrating local structure and prior information. - Hua Meng 001; Yueyi Zhang; Zhiguo Long (Knowl. Based Syst., 2025)

Efficient convolutional dual-attention transformer for automatic modulation recognition. - Zengrui Yi; Hua Meng 001; Lu Gao; Zhonghang He; Meng Yang 007 (Appl. Intell., 2025)

Deep metric learning-based side-channel analysis with improved robustness and efficiency. - Kaibin Li; Yihuai Liang; Hua Meng 001; Zhengchun Zhou (Appl. Intell., 2025)

On Definite Iterated Belief Revision with Belief Algebras. - Hua Meng 001; Zhiguo Long; Michael Sioutis; Zhengchun Zhou (CoRR, 2025)

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values. - Kai Tang; Ji Zhang; Hua Meng 001; Minbo Ma; Qi Xiong; Fengmao Lv; Jie Xu; Tianrui Li 001 (CoRR, 2025)