Explanipedia

Multimodal Medical Image Classification via Synergistic Learning Pre-training Open

Qinghua Lin, Zuoyong Li, Yang Li, Yuting Jiang, Xiang Wu · 2025

Multimodal pathological images are usually in clinical diagnosis, but computer vision-based multimodal image-assisted diagnosis faces challenges with modality fusion, especially in the absence of expert-annotated data. To achieve the modal…

Reliable Attention Based Stereo Image Super-Resolution Network Open

Xuanming Zhang, Jiawei Wu, Zuoyong Li, Zhengyi Tang, Kun Zeng , et al. · 2025

Stereo image super-resolution (StereoSR) exploits complementary information between paired views to enhance image reconstruction quality. Existing attention-based methods for cross-view feature interaction overlook a fundamental principle:…

Combining Variable Convolution and Transformer Network for Image Super-Resolution Open

Kun Zeng, Kaipeng Zhang, Jianglong Zhao, Jinsheng Fang, Zuoyong Li · 2025

Cross language entity alignment based on knowledge augmentation of large language model Open

Feixia Zhang, Shaojun Liu, Junhua Sun, Lingjie Liu, Yanfeng Fang , et al. · 2025

Multi‐Modal Anomalous Driving Behavior Detection With Adaptive Masking Open

Kun Zeng, Zhonghua Peng, Zuoyong Li, Yun Chen, Feng Chen , et al. · 2025

Intelligent Transportation Systems are tasked with enhancing road safety, a crucial challenge given that approximately 1.35 million fatalities occur globally each year, with 15%–27% of these deaths attributed to Anomalous Driving Behaviors…

ASCL: Accelerating semi‐supervised learning via contrastive learning Open

Haixiong Liu, Zuoyong Li, Jiawei Wu, Kun Zeng, Rong Hu , et al. · 2024

Summary SSL (semi‐supervised learning) is widely used in machine learning, which leverages labeled and unlabeled data to improve model performance. SSL aims to optimize class mutual information, but noisy pseudo‐labels introduce false clas…

SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification Open

Zuoyong Li, Qinghua Lin, Haoyi Fan, Tiesong Zhao, David Zhang · 2024

Semi-supervised learning suffers from the imbalance of labeled and unlabeled training data in the video surveillance scenario. In this paper, we propose a new semi-supervised learning method called SIAVC for industrial accident video class…

DSTANet: Learning a Dual-Stream Model for Anomaly Driving Action Detection Using Spatio-Temporal and Appearance Features Open

Zhonghua Peng, Rong Hu, Zuoyong Li, Kun Zeng · 2024

Driving action anomaly detection based on in-cab surveillance video has become the mainstream of current driving action research. However, there is a substantial redundancy of spatio-temporal information in the spatio-temporal action featu…

Pixel-Level Polyp Segmentation Network Based on Parallel Feature Enhancement and Attention Mechanism Open

Haiping Xu, Jie Wang, Zuoyong Li, Xuesong Cheng, Shenghua Teng · 2024

FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment Open

Qinghua Lin, Zuoyong Li, Kun Zeng, Haoyi Fan, Wei Li , et al. · 2023

Deep learning techniques have greatly enhanced the performance of fire detection in videos. However, video-based fire detection models heavily rely on labeled data, and the process of data labeling is particularly costly and time-consuming…

Multiple Layout Design Generation via a GAN-Based Method with Conditional Convolution and Attention Open

Xing ZHU, Yuxuan LIU, Lingyu Liang, Tao Wang, Zuoyong Li , et al. · 2023

Recently, many AI-aided layout design systems are developed to reduce tedious manual intervention based on deep learning. However, most methods focus on a specific generation task. This paper explores a challenging problem to obtain multip…

Class-Specific Distribution Alignment for semi-supervised medical image classification Open

Zhongzheng Huang, Jiawei Wu, Tao Wang, Zuoyong Li, Αναστασία Ιωάννου · 2023

Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment Open

Tao Wang, Zhongzheng Huang, Jiawei Wu, Yuanzheng Cai, Zuoyong Li · 2023

Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due to the requirement of professional skills. Additionally, c…

dugMatting: Decomposed-Uncertainty-Guided Matting Open

Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng , et al. · 2023

Cutting out an object and estimating its opacity mask, known as image matting, is a key task in image and video editing. Due to the highly ill-posed issue, additional inputs, typically user-defined trimaps or scribbles, are usually needed …

Research of CNN-SCN for Early Diagnosis of Alzheimer's Disease Open

Yinsheng Tong, Zuoyong Li, Hui Huang, Libin Gao, Minghai Xu , et al. · 2023

The early and effective diagnosis of Alzheimer's disease(AD) and mild cognitive impairment(MCI) has received increasing attention in recent years, but most of the existing studies do not pay enough attention to the spatial structure inform…

Spatio-Temporal Context Modeling for Road Obstacle Detection Open

Xiuen Wu, Tao Wang, Lingyu Liang, Zuoyong Li, Fum Yew Ching · 2023

Instance Reweighting Adversarial Training Based on Confused Label Open

Zhicong Qiu, Xianmin Wang, Huawei Ma, Songcao Hou, Jing Li , et al. · 2023

Reweighting adversarial examples during training plays an essential role in improving the robustness of neural networks, which lies in the fact that examples closer to the decision boundaries are much more vulnerable to being attacked and …

Application of CNN-SCN in early diagnosis of Alzheimer's disease Open

Yinsheng Tong, Zuoyong Li, Hui Huang, Libin Gao, Minghai Xu , et al. · 2022

Background: The early and effective diagnosis of Alzheimer's disease(AD) and mild cognitive impairment(MCI) has received increasing attention in recent years.There are many machine learning and deep learning methods that are widely used in…

Multi-Perspective Feature Extraction and Fusion Based on Deep Latent Space for Diagnosis of Alzheimer’s Diseases Open

Libin Gao, Zhongyi Hu, Rui Li, Xingjin Lu, Zuoyong Li , et al. · 2022

Resting-state functional magnetic resonance imaging (rs-fMRI) has been used to construct functional connectivity (FC) in the brain for the diagnosis and analysis of brain disease. Current studies typically use the Pearson correlation coeff…

[White blood segmentation based on dual path and atrous spatial pyramid pooling]. Open

Zuoyong Li, Yan Lü, Xinrong Cao, Lida Qiu, Xuejun Qin · 2022

The count and recognition of white blood cells in blood smear images play an important role in the diagnosis of blood diseases including leukemia. Traditional manual test results are easily disturbed by many factors. It is necessary to dev…

Effects of ginsenoside Rg1 on proliferation and directed differentiation of human umbilical cord mesenchymal stem cells into neural stem cells Open

Xiao Li, Maoyuan Wang, Kang Zou, Zuoyong Li, Jun Luo · 2022

Objective Human umbilical cord mesenchymal stem cells (hUCMSCs) can be transformed into neural stem cells (NSCs) and still maintain immunomodulatory and antioxidant effects. Transplantation of NSCs induced by hUCMSCs would be a promising t…

Generative Adversarial Training for Supervised and Semi-supervised Learning Open

Xianmin Wang, Jing Li, Qi Liu, Wenpeng Zhao, Zuoyong Li , et al. · 2022

Neural networks have played critical roles in many research fields. The recently proposed adversarial training (AT) can improve the generalization ability of neural networks by adding intentional perturbations in the training process, but …

Solar Radiation Forecasting Using Ensemble-Based Hybrid LGBM-GB-MLP Model: A Novel Stacked Generalization Method Open

Eric Nziyumva, Rong Hu, Yong Xu, Jovial Niyogisubizo, Zuoyong Li , et al. · 2022

GDCSeg-Net: general optic disc and cup segmentation network for multi-device fundus images Open

Qianlong Zhu, Xinjian Chen, Qingquan Meng, Jiahuan Song, Gaohui Luo , et al. · 2021

Accurate segmentation of optic disc (OD) and optic cup (OC) in fundus images is crucial for the analysis of many retinal diseases, such as the screening and diagnosis of glaucoma and atrophy segmentation. Due to domain shift between differ…

Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks Open

Fengbin Zhang, Haoyi Fan, Ruidong Wang, Zuoyong Li, Tiancai Liang · 2021

Networks are ubiquitous in the real world such as social networks and communication networks, and anomaly detection on networks aims at finding nodes whose structural or attributed patterns deviate significantly from the majority of refere…

Peer Review #2 of "X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (v0.1)" Open

Genggeng Liu, Liliang Yang, Saijuan Xu, Zuoyong Li, Yeh-Cheng Chen , et al. · 2021

Global routing is an important link in Very Large Scale Integration (VLSI) design.As the best model of global routing, X-architecture Steiner Minimal Tree (XSMT) has a good performance in wire length optimization.XSMT belongs to non-Manhat…

Peer Review #1 of "X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (v0.2)" Open

Genggeng Liu, Liliang Yang, Saijuan Xu, Zuoyong Li, Yeh-Cheng Chen , et al. · 2021

Global routing is an important link in Very Large Scale Integration (VLSI) design.As the best model of global routing, X-architecture Steiner Minimal Tree (XSMT) has a good performance in wire length optimization.XSMT belongs to non-Manhat…

Peer Review #2 of "X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (v0.2)" Open

Genggeng Liu, Liliang Yang, Saijuan Xu, Zuoyong Li, Yeh-Cheng Chen , et al. · 2021

Global routing is an important link in Very Large Scale Integration (VLSI) design.As the best model of global routing, X-architecture Steiner Minimal Tree (XSMT) has a good performance in wire length optimization.XSMT belongs to non-Manhat…

Peer Review #1 of "X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (v0.1)" Open

Genggeng Liu, Liliang Yang, Saijuan Xu, Zuoyong Li, Yeh-Cheng Chen , et al. · 2021

Global routing is an important link in Very Large Scale Integration (VLSI) design.As the best model of global routing, X-architecture Steiner Minimal Tree (XSMT) has a good performance in wire length optimization.XSMT belongs to non-Manhat…

Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information Open

Hengyang Lu, Jun Yang, Yi Zhang, Zuoyong Li · 2021

The topic model has been widely applied to various research domains such as information retrieval, data mining, and so on. It can discover topics of texts in an unsupervised way. In the early years, most researches mainly focused on long t…

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