Hua Meng

According to our database, Hua Meng authored at least 39 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values.

Kai Tang, Ji Zhang, Hua Meng, Minbo Ma, Qi Xiong, Fengmao Lv, Jie Xu, Tianrui Li

CoRR, June, 2025

On Definite Iterated Belief Revision with Belief Algebras.

Hua Meng, Zhiguo Long, Michael Sioutis, Zhengchun Zhou

CoRR, May, 2025

Deep metric learning-based side-channel analysis with improved robustness and efficiency.

Kaibin Li, Yihuai Liang, Hua Meng, Zhengchun Zhou

Appl. Intell., May, 2025

Efficient convolutional dual-attention transformer for automatic modulation recognition.

Zengrui Yi, Hua Meng, Lu Gao, Zhonghang He, Meng Yang

Appl. Intell., February, 2025

Deep spectral clustering by integrating local structure and prior information.

Hua Meng, Yueyi Zhang, Zhiguo Long

Knowl. Based Syst., 2025

Subspace clustering with self-representation sparsification and regression via connected components.

Zhiguo Long, Rui Guan, Yi Gao, Hua Meng, Rong Luo

Appl. Soft Comput., 2025

Clustering by Mining Density Distributions and Splitting Manifold Structure.

Zhichang Xu, Zhiguo Long, Hua Meng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A machine learning based approach for generating point sketch maps from qualitative directional information.

Zhiguo Long, Qingqian Li, Hua Meng, Michael Sioutis

Int. J. Geogr. Inf. Sci., September, 2024

Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference.

Zicheng Wang, Wei Xie, Zhengchun Zhou, Hua Meng, Meng Yang

IEEE Trans. Aerosp. Electron. Syst., August, 2024

Semi-supervised clustering guided by pairwise constraints and local density structures.

Zhiguo Long, Yang Gao, Hua Meng, Yuxu Chen, Hui Kou

Pattern Recognit., 2024

A synthetic aperture radar small ship detector based on transformers and multi-dimensional parallel feature extraction.

Xinyi Fu, Zhengchun Zhou, Hua Meng, Shuting Li

Eng. Appl. Artif. Intell., 2024

TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization.

Haowen Ma, Zhiguo Long, Hua Meng

CoRR, 2024

2023

Component preserving laplacian eigenmaps for data reconstruction and dimensionality reduction.

Hua Meng, Hanlin Zhang, Yu Ding, Shuxia Ma, Zhiguo Long

Appl. Intell., December, 2023

Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution.

Jielei Chu, Jing Liu, Hongjun Wang, Hua Meng, Zhiguo Gong, Tianrui Li

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Linear dimensionality reduction method based on topological properties.

Yuqin Yao, Hua Meng, Yang Gao, Zhiguo Long, Tianrui Li

Inf. Sci., May, 2023

Deep learning-based real-time 3D human pose estimation.

Xiaoyan Zhang, Zhengchun Zhou, Ying Han, Hua Meng, Meng Yang, Sutharshan Rajasegarar

Eng. Appl. Artif. Intell., March, 2023

New constructions of Z-complementary code sets and mutually orthogonal complementary sequence sets.

Bingsheng Shen, Hua Meng, Yang Yang, Zhengchun Zhou

Des. Codes Cryptogr., February, 2023

Enhanced Density Clustering Based on Density Decay Structure and Spectral Clustering.

Yutong Ke, Zhiguo Long, Hua Meng

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

2022

New Constructions of Quadriphase Periodic Almost-Complementary Pairs.

Tao Yu, Yang Yang, Hua Meng, Yong Wang

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., August, 2022

A framework for belief revision under restrictions.

Zhiguo Long, Hua Meng, Tianrui Li, Heng-Chao Li, Michael Sioutis

Knowl. Eng. Rev., 2022

Clustering based on local density peaks and graph cut.

Zhiguo Long, Yang Gao, Hua Meng, Yuqin Yao, Tianrui Li

Inf. Sci., 2022

Approximating Region Boundaries Based on Qualitative and Quantitative Information.

Zhiguo Long, Michael Sioutis, Qingqian Li, Hua Meng, Heng-Chao Li

IEEE Intell. Syst., 2022

An Incremental Algorithm for Handling Qualitative Spatio-Temporal Information.

Zhiguo Long, Qiyuan Hu, Hua Meng, Michael Sioutis

Proceedings of the 15th International Conference on Spatial Information Theory, 2022

2021

Towards Robust Qualitative Spatio-Temporal Reasoning for Hybrid AI Systems.

Michael Sioutis, Hua Meng

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

A Logic for Iterated Belief Revision.

Hua Meng, Zhiguo Long, Yong Wang, Bin Xing, Hui Zhang

Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020

Compact geometric representation of qualitative directional knowledge.

Zhiguo Long, Hua Meng, Tianrui Li, Sanjiang Li

Knowl. Based Syst., 2020

Semi-Supervised Dimensionality Reduction by Linear Compression and Stretching.

Zhiguo Long, Hua Meng, Michael Sioutis

IEEE Access, 2020

2019

Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints.

Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, Tianrui Li

IEEE Trans. Cybern., 2019

Social web video clustering based on multi-view clustering via nonnegative matrix factorization.

Vinath Mekthanavanh, Tianrui Li, Hua Meng, Yan Yang, Jie Hu

Int. J. Mach. Learn. Cybern., 2019

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, Zhiguo Long

计算机科学, 2019

2018

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering.

Jielei Chu, Tianrui Li, Hongjun Wang, Jing Liu, Hua Meng

CoRR, 2018

2017

Hyperspectral Image Classification via Low-Rank and Sparse Representation With Spectral Consistency Constraint.

Lei Pan, Heng-Chao Li, Hua Meng, Wei Li, Qian Du, William J. Emery

IEEE Geosci. Remote. Sens. Lett., 2017

Relationship among different constructive models of belief revision.

Hua Meng, Hailiang Zhao, Jielei Chu

Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

Dimensionality reduction by soft-margin support vector machine.

Ruipeng Dong, Hua Meng, Zhiguo Long, Hailiang Zhao

Proceedings of the IEEE International Conference on Agents, 2017

2016

AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator).

Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang

计算机科学, 2016

2015

Belief Revision over Infinite Propositional Language.

Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang

Proceedings of the Knowledge Science, Engineering and Management, 2015

A Topological Characterization of Multiple Revision.

Hua Meng, Tianrui Li

Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering, 2015

Belief Revision with General Epistemic States.

Hua Meng, Hui Kou, Sanjiang Li

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

A Topological Characterisation of Belief Revision over Infinite Propositional Languages.

Hua Meng, Sanjiang Li

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014