基于混合群智能算法优化的RSSI质心定位算法 (RSSI-based Centroid Localization Algorithm Optimized by Hybrid Swarm Intelligence Algorithm). - Gaiyun Wang; Leiyang Wang; Haoxiang Lu (计算机科学, 2019)

A Comparative Study on the Classification Performance of Machine Learning Models for Academic Full Texts. - Haotian Hu; Sanhong Deng; Haoxiang Lu; Dongbo Wang (iConference, 2020)

An Adaptive Detail Equalization for Infrared Image Enhancement Based on Multi-Scale Convolution. - Haoxiang Lu; Zhenbing Liu; Xipeng Pan (IEEE Access, 2020)

Hyperspectral Image Classification Based on Stacked Contractive Autoencoder Combined With Adaptive Spectral-Spatial Information. - Pengyue Guo; Zhenbing Liu; Haoxiang Lu; Zimin Wang (IEEE Access, 2021)

PatchNet: a tiny low-light image enhancement net. - Zhenbing Liu; Kaijie Wang; Zimin Wang; Haoxiang Lu; Lu Yuan (J. Electronic Imaging, 2021)

Video super-resolution with fused local and nonlocal feature. - Wenhao Wang; Zhenbing Liu; Rushi Lan; Haoxiang Lu (J. Electronic Imaging, 2022)

Diagnosis of Alzheimer's disease via an attention-based multi-scale convolutional neural network. - Zhenbing Liu; Haoxiang Lu; Xipeng Pan; Mingchang Xu; Rushi Lan; Xiaonan Luo (Knowl. Based Syst., 2022)

FDMLNet: A Frequency-Division and Multiscale Learning Network for Enhancing Low-Light Image. - Haoxiang Lu; Junming Gong; Zhenbing Liu; Rushi Lan; Xipeng Pan (Sensors, 2022)

Adapting Single-Image Super-Resolution Models to Video Super-Resolution: A Plug-and-Play Approach. - Wenhao Wang; Zhenbing Liu; Haoxiang Lu; Rushi Lan; Yingxin Huang (Sensors, 2023)

Retinex-inspired contrast stretch and detail boosting for lowlight image enhancement. - Haoxiang Lu; Zhenbing Liu; Rushi Lan; Xipeng Pan; Junming Gong (IET Image Process., 2023)

Real-Time Video Super-Resolution with Spatio-Temporal Modeling and Redundancy-Aware Inference. - Wenhao Wang; Zhenbing Liu; Haoxiang Lu; Rushi Lan; Zhaoyuan Zhang (Sensors, 2023)

Partial Label Learning via Cost-Guided Retraining. - Zhaoyuan Zhang; Zhenbing Liu; Haoxiang Lu (ECAI, 2024)

Low-light image enhancement via multistage Laplacian feature fusion. - Zhenbing Liu; Yingxin Huang; Ruojie Zhang; Haoxiang Lu; Wenhao Wang; Zhaoyuan Zhang (J. Electronic Imaging, 2024)

Brighten up Images via Dual-Branch Structure-Texture Awareness Feature Interaction. - Yingxin Huang; Zhenbing Liu; Haoxiang Lu; Wenhao Wang; Rushi Lan (IEEE Signal Process. Lett., 2024)

Enhancing infrared images via multi-resolution contrast stretching and adaptive multi-scale detail boosting. - Haoxiang Lu; Zhenbing Liu; Xipeng Pan; Rushi Lan; Wenhao Wang (Vis. Comput., 2024)

Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising. - Xipeng Pan; Shilong Song; Zhenbing Liu; Huadeng Wang; Lingqiao Li; Haoxiang Lu; Rushi Lan; Xiaonan Luo (Artif. Intell. Medicine, 2025)

Addressing bayes imbalance in partial label learning via range adaptive graph guided disambiguation. - Zhenbing Liu; Zhaoyuan Zhang; Haoxiang Lu; Wenhao Wang (Neurocomputing, 2025)

Perceptual stretch and multi-feature fusion for enhancing nighttime images. - Haoxiang Lu; Tianle Fang; Zhenbing Liu; Weidong Zhang 007; Rushi Lan (Knowl. Based Syst., 2025)

MASFNet: Multiscale Adaptive Sampling Fusion Network for Object Detection in Adverse Weather. - Zhenbing Liu; Tianle Fang; Haoxiang Lu; Weidong Zhang 007; Rushi Lan (IEEE Trans. Geosci. Remote. Sens., 2025)

FFENet: Learning Frequency Features for Low-Light Enhancement. - Zhenbing Liu; Junming Gong; Haoxiang Lu; Xipeng Pan; Rushi Lan (IEEE Trans. Instrum. Meas., 2025)

Learning Distinguishable Degradation Maps for Unknown Image Super-Resolution. - Zhenbing Liu; Jieyu Huang; Wenhao Wang; Haoxiang Lu; Rushi Lan (IEEE Trans. Multim., 2025)

FCNet: Frequency Co-Interaction Network With Color Restoration for Lowlight Image Enhancement. - Haoxiang Lu; Xiaowei Zhao; Zhenbing Liu; Peixian Zhuang; Zheng Liang 001; Weidong Zhang 007 (IEEE Trans. Consumer Electron., 2025)