Simulation Study of a Connection-Oriented Internet Service Based on a Queueing Model. - Zhanqiang Huo; Naishuo Tian; Wuyi Yue; Shunfu Jin (AINA Workshops, 2008)

Performance Evaluation of ARQ Schemes for Service-Oriented Internet in Wireless Networks. - Shunfu Jin; Wuyi Yue; Zhanqiang Huo (HPCC, 2008)

Modeling study of the sleep mode in the IEEE 802.16e wireless networks with correlated traffic. - Zhanqiang Huo; Naishuo Tian (QTNA, 2010)

Performance Analysis of Sleep-Mode with Uplink/Downlink Traffics in IEEE 802.16m. - Zhanqiang Huo; Xiaoke Liu (WISM (1), 2011)

Performance Analysis and Evaluation for Sleep-mode with Uplink/Downlink Traffics in IEEE 802.16e Network. - Zhanqiang Huo; Shunfu Jin; Zhiheng Wang (J. Networks, 2011)

Scale-invariant feature matching based on pairs of feature points. - Zhiheng Wang 001; Zhifei Wang; Hongmin Liu 001; Zhanqiang Huo (IET Comput. Vis., 2015)

A Dynamic Identity Based Authentication Scheme Using Chaotic Maps for Telecare Medicine Information Systems. - Zhiheng Wang 001; Zhanqiang Huo; Wenbo Shi (J. Medical Syst., 2015)

Feature matching using guidance-constraint method. - Zhiheng Wang 001; Zhifei Wang; Hongmin Liu 001; Zhanqiang Huo; Bin Fan 001 (IET Comput. Vis., 2016)

Absence importance and its application to feature detection and matching. - Zhiheng Wang 001; Qin-Feng Song; Hongmin Liu 001; Zhanqiang Huo (Int. J. Autom. Comput., 2016)

GOCD: Gradient Order Curve Descriptor. - Hongmin Liu 001; Lulu Chen; Zhiheng Wang 001; Zhanqiang Huo (IEICE Trans. Inf. Syst., 2017)

STBD: a simple tri-bit binary descriptor for point matching. - Hongmin Liu 001; Lu Li; Zhiheng Wang 001; Zhanqiang Huo (IET Comput. Vis., 2017)

Nash Equilibrium of an Energy Saving Strategy with Dual Rate Transmission in Wireless Regional Area Network. - Zhanqiang Huo; Xiaowei Li; Shunfu Jin; Zhiheng Wang (Wirel. Commun. Mob. Comput., 2017)

MFSR: Maximum feature score region-based captions locating in news video images. - Zhiheng Wang 001; Chao Guo; Hongmin Liu 001; Zhanqiang Huo (Int. J. Autom. Comput., 2018)

D-MSCD: Mean-Standard Deviation Curve Descriptor Based on Deep Learning. - Zhanqiang Huo; Guangxing Du; Fen Luo; Yingxu Qiao; Junwei Luo (IEEE Access, 2020)

Deep High-Resolution Network With Double Attention Residual Blocks for Human Pose Estimation. - Zhanqiang Huo; Han Jin; Yingxu Qiao; Fen Luo (IEEE Access, 2020)

Learning Multi-Level Features to Improve Crowd Counting. - Zhanqiang Huo; Bin Lu; Aizhong Mi; Fen Luo; Yingxu Qiao (IEEE Access, 2020)

Multi-Label Classification of Fundus Images With EfficientNet. - Jing Wang 093; Liu Yang; Zhanqiang Huo; Weifeng He; Junwei Luo (IEEE Access, 2020)

Improved covariant local feature detector. - Zhanqiang Huo; Yanqi Zhang; Hongmin Liu 001; Jing Wang 093; Xin Liu 027; Jiyong Zhang (Pattern Recognit. Lett., 2020)

Image Inpainting Based on Structural Tensor Edge Intensity Model. - Jing Wang 093; Yan-Hong Zhou; Haifeng Sima; Zhanqiang Huo; Aizhong Mi (Int. J. Autom. Comput., 2021)

Towards learning line descriptors from patches: a new paradigm and large-scale dataset. - Hongmin Liu 001; Yujie Liu; Miaomiao Fu; Yuhui Wei; Zhanqiang Huo; Yingxu Qiao (Int. J. Mach. Learn. Cybern., 2021)

Tumor detection for whole slide image of liver based on patch-based convolutional neural network. - Jing Wang 093; Zhe Xu; Zhi-Feng Pang; Zhanqiang Huo; Junwei Luo (Multim. Tools Appl., 2021)

Detail Recovery and Color Enhancement for Single Image Dehazing. - Wangming Fang; Zhanqiang Huo; Yingxu Qiao (ICNCC, 2022)

Global-Local Feature Alignment Loss for Photorealistic Style Transfer. - Yuchao Jing; Guoquan Jiang; Zhanqiang Huo; Yijiang Wang; Lili Wu (ICNCC, 2022)

Low-light Image Enhancement via Unsupervised Progressive Fusion Network. - Hengxuan Li; Zhanqiang Huo; Yingxu Qiao (ICNCC, 2022)

Low-light Image Enhancement via Zero-Reference Dynamic Curve Estimation. - Wenhui Luo; Aizhong Mi; Zhanqiang Huo (ICNCC, 2022)

Apple Counting Network Before Fruit Thinning Period Based On Dilated Convolution. - Mengyang Song; Guoquan Jiang; Zhanqiang Huo; Zhengyuan Yang; Hongxu Zhang (ICNCC, 2022)

Weakly Supervised Semantic Segmentation Based on Image-level Class Labels with Deep Learning: A Survey. - Yijiang Wang; Fen Luo; Hongxu Zhang; Zhanqiang Huo (ICNCC, 2022)

Efficient photorealistic style transfer with multi-order image statistics. - Zhanqiang Huo; Xueli Li; Yingxu Qiao; Panbo Zhou; Jing Wang 093 (Appl. Intell., 2022)

LigMSANet: Lightweight multi-scale adaptive convolutional neural network for dense crowd counting. - Guoquan Jiang; Rui Wu; Zhanqiang Huo; Cuijun Zhao; Junwei Luo (Expert Syst. Appl., 2022)

High quality proposal feature generation for crowded pedestrian detection. - Jing Wang 093; Cailing Zhao; Zhanqiang Huo; Yingxu Qiao; Haifeng Sima (Pattern Recognit., 2022)

Boosting Object Detection in Foggy Scenes via Dark Channel Map and Union Training Strategy. - Zhanqiang Huo; Sensen Meng; Yingxu Qiao; Fen Luo (PRCV (12), 2023)

PVT-Crowd: Bridging Multi-scale Features from Pyramid Vision Transformer for Weakly-Supervised Crowd Counting. - Zhanqiang Huo; Kunwei Zhang; Fen Luo; Yingxu Qiao (PRCV (9), 2023)

Semantics recalibration and detail enhancement network for real-time semantic segmentation. - Aizhong Mi; Mingming Gao; Zhanqiang Huo; Yingxu Qiao; Jian Chen; Haiyang Jia (IET Comput. Vis., 2023)

AFC-Net: adjacent feature complementary for crowded pedestrian detection. - Jing Wang 093; Cailing Zhao; Zhiqiang Liu; Zhanqiang Huo (Mach. Vis. Appl., 2023)

Domain adaptive crowd counting via dynamic scale aggregation network. - Zhanqiang Huo; Yanan Wang; Yingxu Qiao; Jing Wang 093; Fen Luo (IET Comput. Vis., 2023)

Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement. - Jianfeng Zhang; Hengxuan Li; Zhanqiang Huo (IEEE Access, 2024)

Local and nonlocal flow-guided video inpainting. - Jing Wang; Zongju Yang; Zhanqiang Huo; Wei Chen (Multim. Tools Appl., 2024)

Dual-route synthetic-to-real adaption for single image dehazing. - Yingxu Qiao; Zhanqiang Huo; Sensen Meng (IET Image Process., 2024)

Dual-band low-light image enhancement. - Aizhong Mi; Wenhui Luo; Zhanqiang Huo (Multim. Syst., 2024)

Rethinking Zero-DCE for Low-Light Image Enhancement. - Aizhong Mi; Wenhui Luo; Yingxu Qiao; Zhanqiang Huo (Neural Process. Lett., 2024)

Semantic Segmentation Network Based on Adaptive Attention and Deep Fusion Utilizing a Multi-Scale Dilated Convolutional Pyramid. - Shan Zhao; Zihao Wang; Zhanqiang Huo; Fukai Zhang (Sensors, 2024)

BMSeNet: Multiscale Context Pyramid Pooling and Spatial Detail Enhancement Network for Real-Time Semantic Segmentation. - Shan Zhao; Xin Zhao; Zhanqiang Huo; Fukai Zhang (Sensors, 2024)

Robust Synthetic-to-Real Ensemble Dehazing Algorithm With the Intermediate Domain. - Yingxu Qiao; Xing Wang; Hongmin Liu 001; Zhanqiang Huo (IEEE Trans. Comput. Soc. Syst., 2024)

Joint image restoration for object detection in snowy weather. - Jing Wang 093; Meimei Xu; Huazhu Xue; Zhanqiang Huo; Fen Luo (IET Comput. Vis., 2024)

More Realistic Edges, Textures, and Colors for Image Non-Homogeneous Dehazing. - Hairu Guo; Yaning Li; Zhanqiang Huo; Shan Zhao; Yingxu Qiao (IET Image Process., 2025)

Dark channel map and union training strategy for object detection in foggy scenes. - Zhanqiang Huo; Sen Li; Sensen Meng; Yingxu Qiao; Shan Zhao; Luyao Liu (Pattern Recognit. Lett., 2025)

Context-aware learning and background activation suppression for weakly supervised semantic segmentation. - Aizhong Mi; Xianru Huang; Zhanqiang Huo; Luyao Liu (Multim. Syst., 2025)

Combining implicit and explicit priors for zero-reference low-light image enhancement and denoising. - Jinxia Yu; Fabao Xue; Zhanqiang Huo; Yingxu Qiao (Multim. Syst., 2025)

D3-Dehaze: a divide-and-conquer framework for enhanced single image dehazing. - Zhanqiang Huo; Xiyan Zhan; Yingxu Qiao; Shan Zhao (Vis. Comput., 2025)

Multi-channel correlated diffusion for text-driven artistic style transfer. - Guoquan Jiang; Canyu Wang; Zhanqiang Huo; Huan Xu (Vis. Comput., 2025)