A Co-evolutionary Particle Swarm Optimization-Based Method for Multiobjective Optimization. - Hong-yun Meng; Xiaohua Zhang; San-yang Liu (Australian Conference on Artificial Intelligence, 2005)

Intelligent particle swarm optimization in multiobjective optimization. - Xiaohua Zhang; Hong-yun Meng; Licheng Jiao (Congress on Evolutionary Computation, 2005)

Improving PSO-Based Multiobjective Optimization Using Competition and Immunity Clonal. - Xiaohua Zhang; Hong-yun Meng; Licheng Jiao (CIS (1), 2005)

Intelligent Multiobjective Particle Swarm Optimization Based on AER Model. - Hong-yun Meng; Xiaohua Zhang; San-yang Liu (EPIA, 2005)

New Quality Measures for Multiobjective Programming. - Hong-yun Meng; Xiaohua Zhang; San-yang Liu (ICNC (2), 2005)

A Novel Clonal Selection for Multi-modal Function Optimization. - Hong-yun Meng; Xiaohua Zhang; San-yang Liu (ICNC (2), 2006)

Temperature dependent saturation characteristics of wavelength locked Febry-Perot laser diodes. - Hongyun Meng; Chang-Hee Lee (ICAIT, 2008)

A Novel SAR Image Change Detection Based on Graph-Cut and Generalized Gaussian Model. - Xiaohua Zhang; Jiawei Chen 010; Hongyun Meng (IEEE Geosci. Remote. Sens. Lett., 2013)

Self-adaptive sampling rate assignment and image reconstruction via combination of structured sparsity and non-local total variation priors. - Jiawei Chen 010; Xiaohua Zhang; Hongyun Meng (Digit. Signal Process., 2014)

Compressive Sensing-Based ISAR Imaging via the Combination of the Sparsity and Nonlocal Total Variation. - Xiaohua Zhang; Ting Bai; Hongyun Meng; Jiawei Chen 010 (IEEE Geosci. Remote. Sens. Lett., 2014)

Ammonia Gas Sensor Based on Graphene Oxide-Coated Mach-Zehnder Interferometer with Hybrid Fiber Structure. - Xiaofeng Fan; Shuying Deng; Zhongchao Wei; Faqiang Wang; Chunhua Tan; Hongyun Meng (Sensors, 2021)

AC-WGAN-GP: Generating Labeled Samples for Improving Hyperspectral Image Classification with Small-Samples. - Caihao Sun; Xiaohua Zhang; Hongyun Meng; Xianghai Cao; Jinhua Zhang (Remote. Sens., 2022)

Adversarial Representation Learning for Hyperspectral Image Classification with Small-Sized Labeled Set. - Shuhan Zhang; Xiaohua Zhang; Tianrui Li 004; Hongyun Meng; Xianghai Cao; Li Wang 067 (Remote. Sens., 2022)

Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model. - Jinhua Zhang; Xiaohua Zhang; Hongyun Meng; Caihao Sun; Li Wang 067; Xianghai Cao (Remote. Sens., 2022)

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing. - Li Wang 067; Xiaohua Zhang; Longfei Li; Hongyun Meng; Xianghai Cao (CoRR, 2023)

Dual-Branch Spectral-Spatial Adversarial Representation Learning for Hyperspectral Image Classification With Few Labeled Samples. - Caihao Sun; Xiaohua Zhang; Hongyun Meng; Xianghai Cao; Jinhua Zhang; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Expeditious Hyperspectral Image Classification With Inner and Outer Layered Transformer Using Feature Enhancement. - Qianhui Sun; Xiaohua Zhang; Hongyun Meng; Shuxiang Xia; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing. - Li Wang 067; Xiaohua Zhang; Jinhua Zhang; Hua Dong; Hongyun Meng; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Two-Stream Networks for Contrastive Learning in Hyperspectral Image Classification. - Shuxiang Xia; Xiaohua Zhang; Hongyun Meng; Jiaxin Fan; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Ternary Modality Contrastive Learning for Hyperspectral and LiDAR Data Classification. - Shuxiang Xia; Xiaohua Zhang; Hongyun Meng; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Graph-Based Adaptive Network With Spatial-Spectral Features for Hyperspectral Unmixing. - Hua Dong; Xiaohua Zhang; Jinhua Zhang; Hongyun Meng; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

CenterFormer: A Center Spatial-Spectral Attention Transformer Network for Hyperspectral Image Classification. - Chenjing Jia; Xiaohua Zhang; Hongyun Meng; Shuxiang Xia; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Noise-to-Abundance Translation: Unsupervised Hyperspectral Unmixing Based on Diffusion Models. - Hua Dong; Xiaohua Zhang; Hongyun Meng; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

A Novel Transformer-KAN Network Utilizes Multimodality Contrastive Learning and Mask Reconstruction for Remote Sensing Classification. - Shuxiang Xia; Xiaohua Zhang; Hongyun Meng; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)