A novel iris and chaos-based random number generator. - Hegui Zhu; Cheng Zhao 001; Xiangde Zhang; Lianping Yang (Comput. Secur., 2013)

Large Local Analysis of the Unaligned Genome and Its Application. - Lianping Yang; Xiangde Zhang; Tianming Wang; Hegui Zhu (J. Comput. Biol., 2013)

A novel image encryption-compression scheme using hyper-chaos and Chinese remainder theorem. - Hegui Zhu; Cheng Zhao 001; Xiangde Zhang (Signal Process. Image Commun., 2013)

Block Statistical Features-based Face Verification on Second Generation Identity Card. - Hegui Zhu; Yang Wang; Xiuping Mao; Xiangde Zhang (CCBR, 2015)

A Novel Image Encryption Scheme Using the Composite Discrete Chaotic System. - Hegui Zhu; Xiangde Zhang; Hai Yu 001; Cheng Zhao 001; Zhiliang Zhu 001 (Entropy, 2016)

Analyzing Devaney Chaos of a Sine-Cosine Compound Function System. - Hegui Zhu; Wentao Qi; Jiangxia Ge; Yuelin Liu (Int. J. Bifurc. Chaos, 2018)

2D Logistic-Modulated-Sine-Coupling-Logistic Chaotic Map for Image Encryption. - Hegui Zhu; Yiran Zhao; Yujia Song (IEEE Access, 2019)

Semantic image segmentation with shared decomposition convolution and boundary reinforcement structure. - Hegui Zhu; Baoyu Wang; Xiangde Zhang; Jinhai Liu (Appl. Intell., 2020)

Semantic Image Segmentation with Improved Position Attention and Feature Fusion. - Hegui Zhu; Yan Miao; Xiangde Zhang (Neural Process. Lett., 2020)

Predicting Chinese total retail sales of consumer goods by employing an extended discrete grey polynomial model. - Chong Liu; Wanli Xie; Wen-Ze Wu; Hegui Zhu (Eng. Appl. Artif. Intell., 2021)

Logish: A new nonlinear nonmonotonic activation function for convolutional neural network. - Hegui Zhu; Huimin Zeng; Jinhai Liu; Xiangde Zhang (Neurocomputing, 2021)

An improved convolution Merkle tree-based blockchain electronic medical record secure storage scheme. - Hegui Zhu; Yujia Guo; Libo Zhang (J. Inf. Secur. Appl., 2021)

A three-dimensional bit-level image encryption algorithm with Rubik's cube method. - Hegui Zhu; Lewen Dai; Yating Liu; Lijun Wu (Math. Comput. Simul., 2021)

Two-branch encoding and iterative attention decoding network for semantic segmentation. - Hegui Zhu; Min Zhang; Xiangde Zhang; Libo Zhang (Neural Comput. Appl., 2021)

Image Captioning with Dense Fusion Connection and Improved Stacked Attention Module. - Hegui Zhu; Ru Wang; Xiangde Zhang (Neural Process. Lett., 2021)

TCRAN: Multivariate time series classification using residual channel attention networks with time correction. - Hegui Zhu; Jiapeng Zhang; Hao Cui; Kai Wang; Qingsong Tang (Appl. Soft Comput., 2022)

An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production. - Chong Liu; Tongfei Lao; Wen-Ze Wu; Wanli Xie; Hegui Zhu (Expert Syst. Appl., 2022)

Dynamic analysis and image encryption application of a sinusoidal-polynomial composite chaotic system. - Hegui Zhu; Jiangxia Ge; Wentao Qi; Xiangde Zhang; Xiaoxiong Lu (Math. Comput. Simul., 2022)

Low-light image enhancement network with decomposition and adaptive information fusion. - Hegui Zhu; Kai Wang; Ziwei Zhang; Yuelin Liu; Wuming Jiang (Neural Comput. Appl., 2022)

A Driving Behavior Risk Classification Framework via the Unbalanced Time Series Samples. - Hegui Zhu; Ruoyang Xiao; Jiapeng Zhang; Jinhai Liu; Chengqing Li; Lianping Yang (IEEE Trans. Instrum. Meas., 2022)

Boosting Adversarial Transferability via Gradient Relevance Attack. - Hegui Zhu; Yuchen Ren 002; Xiaoyan Sui; Lianping Yang; Wuming Jiang (ICCV, 2023)

LIGAA: Generative adversarial attack method based on low-frequency information. - Hegui Zhu; Ying Zhu; Haoran Zheng; Yuchen Ren 002; Wuming Jiang (Comput. Secur., 2023)

InvKA: Gait Recognition via Invertible Koopman Autoencoder. - Fan Li; Dong Liang 008; Jing Lian 001; Qidong Liu 001; Hegui Zhu; Jizhao Liu (CoRR, 2023)

Multi-level adaptive few-shot learning network combined with vision transformer. - Hegui Zhu; Xiaoxi Cai; Jieru Dou; Zhan Gao; Libo Zhang (J. Ambient Intell. Humaniz. Comput., 2023)

Low-resolution object detection via a lightweight super-resolution network. - Jian Tang; Yang Liu; Haoyue Fu; Hegui Zhu; Wuming Jiang; Lianping Yang (J. Electronic Imaging, 2023)

Light transformer learning embedding for few-shot classification with task-based enhancement. - Hegui Zhu; Rong Zhao; Zhan Gao; Qingsong Tang; Wuming Jiang (Appl. Intell., 2023)

Learning rules in spiking neural networks: A survey. - Zexiang Yi; Jing Lian 001; Qidong Liu 001; Hegui Zhu; Dong Liang 008; Jizhao Liu (Neurocomputing, 2023)

Improved sub-category exploration and attention hybrid network for weakly supervised semantic segmentation. - Hegui Zhu; Tian Geng; Jiayi Wang; Qingsong Tang; Wuming Jiang (Neural Comput. Appl., 2023)

Single image super-resolution via a ternary attention network. - Lianping Yang; Jian Tang; Ben Niu; Haoyue Fu; Hegui Zhu; Wuming Jiang; Xin Wang (Appl. Intell., 2023)

A novel conformable fractional nonlinear grey multivariable prediction model with marine predator algorithm for time series prediction. - Hegui Zhu; Chong Liu; Wenze Wu; Wanli Xie (Comput. Ind. Eng., 2023)

Boosting the transferability of adversarial attacks with adaptive points selecting in temporal neighborhood. - Hegui Zhu; Haoran Zheng; Ying Zhu; Xiaoyan Sui (Inf. Sci., 2023)

Boosting transferability of targeted adversarial examples with non-robust feature alignment. - Hegui Zhu; Xiaoyan Sui; Yuchen Ren 002; Yanmeng Jia; Libo Zhang (Expert Syst. Appl., 2023)

Crafting transferable adversarial examples via contaminating the salient feature variance. - Yuchen Ren 002; Hegui Zhu; Xiaoyan Sui; Chong Liu (Inf. Sci., 2023)

Pre-denoising 3D Multi-scale Fusion Attention Network for Low-Light Enhancement. - Hegui Zhu; Ziwei Zhang; Luyang Wang; Tian Geng; Xiangde Zhang (Neural Process. Lett., 2023)

SHDM-NET: Heat map detail guidance with image matting for industrial weld semantic segmentation network. - Qi Wang 101; Jingwu Mei; Wuming Jiang; Hegui Zhu (Eng. Appl. Artif. Intell., 2023)

An innovative prediction algorithm based on grey modeling theory and the marine predators algorithm for short-term carbon dioxide emissions in China. - Chong Liu; Wen-Ze Wu; Wanli Xie; Sheng Shi; Hegui Zhu (Eng. Appl. Artif. Intell., 2024)

Efficient polar coordinates attack with adaptive activation strategy. - Yuchen Ren 002; Hegui Zhu; Chong Liu; Chengqing Li (Expert Syst. Appl., 2024)

Quantum image encryption algorithm via optimized quantum circuit and parity bit-plane permutation. - Jinwen He; Hegui Zhu; Xv Zhou (J. Inf. Secur. Appl., 2024)

A non-degenerate chaotic bits XOR system with application in image encryption. - Hegui Zhu; Jiangxia Ge; Jinwen He; Libo Zhang (Math. Comput. Simul., 2024)

CMIGNet: Cross-Modal Inverse Guidance Network for RGB-Depth salient object detection. - Hegui Zhu; Jia Ni; Xi Yang; Libo Zhang (Pattern Recognit., 2024)

Few-Shot Fine-Grained Image Classification via Multi-Frequency Neighborhood and Double-Cross Modulation. - Hegui Zhu; Zhan Gao; Jiayi Wang; Yange Zhou; Chengqing Li (IEEE Trans. Multim., 2024)

Frequency-based methods for improving the imperceptibility and transferability of adversarial examples. - Hegui Zhu; Yuchen Ren 002; Chong Liu; Xiaoyan Sui; Libo Zhang (Appl. Soft Comput., 2024)

Iris-LAHNet: a lightweight attention-guided high-resolution network for iris segmentation and localization. - Yue Yan; Qi Wang 101; Hegui Zhu; Wuming Jiang (Multim. Syst., 2024)

DANet: dual association network for human pose estimation in video. - Lianping Yang; Yang Liu; Haoyue Fu; Hegui Zhu; Wuming Jiang (Multim. Tools Appl., 2024)

A Novel Intelligent Forecasting Framework for Quarterly or Monthly Energy Consumption. - Chong Liu; Hegui Zhu; Yuchen Ren 002; Zhimu Wang (IEEE Trans. Ind. Informatics, 2024)

Few-shot semantic segmentation via multi-level feature extraction and multi-prototype localization. - Hegui Zhu; Jiayi Wang; Yange Zhou; Zhan Gao; Libo Zhang (Multim. Tools Appl., 2024)

A lightweight siamese transformer for few-shot semantic segmentation. - Hegui Zhu; Yange Zhou; Cong Jiang; Lianping Yang; Wuming Jiang; Zhimu Wang (Neural Comput. Appl., 2024)

Improving transferability of adversarial examples via statistical attribution-based attacks. - Hegui Zhu; Yanmeng Jia; Yue Yan; Ze Yang (Neural Networks, 2025)

A new two-stage low-light enhancement network with progressive attention fusion strategy. - Hegui Zhu; Luyang Wang; Zhan Gao; Yuelin Liu; Qian Zhao (Signal Process. Image Commun., 2025)

LCLD: A lightweight vanishing point detector with contrast-learning-based intermediate supervision module. - Lianping Yang; Wencong Huang; Xin Zhao; Hegui Zhu (Appl. Intell., 2025)

MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery. - Lianping Yang; Peng Jiao; Jinshan Pan; Hegui Zhu; Su Guo (CoRR, 2025)

Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation. - Mingrui Ye; Lianping Yang; Hegui Zhu; Zenghao Zheng; Xin Wang; Yantao Lo (CoRR, 2025)

Mamba-Driven Topology Fusion for Monocular 3-D Human Pose Estimation. - Zenghao Zheng; Lianping Yang; Jinshan Pan; Hegui Zhu (CoRR, 2025)

Spectral Compression Transformer with Line Pose Graph for Monocular 3D Human Pose Estimation. - Zenghao Zheng; Lianping Yang; Hegui Zhu; Mingrui Ye (CoRR, 2025)

A novel multi-feature fusion network for semantic segmentation. - Baoyu Wang; Hegui Zhu; Pingping Cao; Libo Zhang; Aihong Shen (Signal Image Video Process., 2025)