Explanipedia

Ancora: Accurate Intrusion Recovery for Web Applications Open

Yi-Hao Peng, Bo Ma, Xibin Zhao · 2025

Modern web application recovery presents a critical dilemma. Coarse-grained snapshot rollbacks cause unacceptable data loss for legitimate users. Surgically removing an attack's impact is hindered by a fundamental challenge in high-concurr…

FG-CIBGC: A Unified Framework for Fine-Grained and Class-Incremental Behavior Graph Classification Open

Zhibin Ni, Pan Fan, Sifan Dai, Bo Zhang, Hai Wan , et al. · 2025

Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck Open

Zhibin Ni, Chang Liu, Hai Wan, Xibin Zhao · 2025

Heterogeneous Graph Neural Networks (HGNNs) have achieved state-of-the-art performance in classifying molecular graphs, capitalizing on their ability to capture rich semantics. However, HGNNs for molecule property prediction exhibit signif…

Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval Open

Bingjun Luo, Jinpeng Wang, Zewen Wang, Junjie Zhu, Xibin Zhao · 2025

Video surveillance systems are crucial components for ensuring public safety and management in smart city. As a fundamental task in video surveillance, text-to-image person retrieval aims to retrieve the target person from an image gallery…

Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval Open

Bingjun Luo, Jinpeng Wang, Zewen Wang, Junjie Zhu, Xibin Zhao · 2025

Video surveillance systems are crucial components for ensuring public safety and management in smart city. As a fundamental task in video surveillance, text-to-image person retrieval aims to retrieve the target person from an image gallery…

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Open

Zhongqi Cheng, Zhaoyang Zhu, Haoran Dang, Hai Wan, Xibin Zhao · 2024

In recent years, cyber attacks have become increasingly sophisticated and persistent. Detection and investigation based on the provenance graph can effectively mitigate cyber intrusion. However, in the long time span of defenses, the sheer…

Trident: Detecting SQL Injection Attacks via Abstract Syntax Tree-based Neural Network Open

Yuanlin Li, Zhiwei Xu, Min Zhou, Hai Wan, Xibin Zhao · 2024

GLADformer: A Mixed Perspective for Graph-level Anomaly Detection Open

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang , et al. · 2024

Graph-Level Anomaly Detection (GLAD) aims to distinguish anomalous graphs within a graph dataset. However, current methods are constrained by their receptive fields, struggling to learn global features within the graphs. Moreover, most con…

DSFM: Enhancing Functional Code Clone Detection with Deep Subtree Interactions Open

Zhiwei Xu, Shaohua Qiang, D. Song, Min Zhou, Hai Wan , et al. · 2024

Functional code clone detection is important for software maintenance. In recent years, deep learning techniques are introduced to improve the performance of functional code clone detectors. By representing each code snippet as a vector co…

LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection Open

Xiaoxiao Liu, Xu Fan, Nan Wang, Qinxin Zhao, Dalin Zhang , et al. · 2024

Advanced Persistent Threat (APT) is challenging to detect due to prolonged duration, infrequent occurrence, and adept concealment techniques. Existing approaches primarily concentrate on the observable traits of attack behaviors, neglectin…

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition Open

Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao , et al. · 2024

Illumination variation has been a long-term challenge in real-world facial expression recognition (FER). Under uncontrolled or non-visible light conditions, near-infrared (NIR) can provide a simple and alternative solution to obtain high-q…

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition Open

Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao , et al. · 2024

With the strong robusticity on illumination variations, near-infrared (NIR) can be an effective and essential complement to visible (VIS) facial expression recognition in low lighting or complete darkness conditions. However, facial expres…

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum Open

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao , et al. · 2024

Graph-based fraud detection (GFD) can be regarded as a challenging semi-supervised node binary classification task. In recent years, Graph Neural Networks (GNN) have been widely applied to GFD, characterizing the anomalous possibility of a…

Improved Bayesian Best-Worst Networks With Geographic Information System for Electric Vehicle Charging Station Selection Open

Xiaojia Wang, Weijian Xia, Lushi Yao, Xibin Zhao · 2023

Electric vehicle charging stations (EVCSs) are essential for solving the energy consumption and endurance anxiety problems of car owners. EVCSs also promote sustainable development in urban economies without relying on fossil fuels. This r…

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum Open

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao · 2023

Graph-based fraud detection (GFD) can be regarded as a challenging semi-supervised node binary classification task. In recent years, Graph Neural Networks (GNN) have been widely applied to GFD, characterizing the anomalous possibility of a…

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition Open

B. Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao , et al. · 2023

With the strong robusticity on illumination variations, near-infrared (NIR) can be an effective and essential complement to visible (VIS) facial expression recognition in low lighting or complete darkness conditions. However, facial expres…

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition Open

Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao , et al. · 2023

Illumination variation has been a long-term challenge in real-world facial expression recognition(FER). Under uncontrolled or non-visible light conditions, Near-infrared (NIR) can provide a simple and alternative solution to obtain high-qu…

Enhancing Single-Frame Supervision for Better Temporal Action Localization Open

Changjian Chen, Jiashu Chen, Weikai Yang, Haoze Wang, Johannes Knittel , et al. · 2023

Temporal action localization aims to identify the boundaries and categories of actions in videos, such as scoring a goal in a football match. Single-frame supervision has emerged as a labor-efficient way to train action localizers as it re…

xASTNN: Improved Code Representations for Industrial Practice Open

Zhiwei Xu, Min Zhou, Xibin Zhao, Yang Chen, Xi Cheng , et al. · 2023

The application of deep learning techniques in software engineering becomes increasingly popular. One key problem is developing high-quality and easy-to-use source code representations for code-related tasks. The research community has acq…

Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection Open

Fan Xu, Nan Wang, Xuezhi Wen, Meiqi Gao, Chaoqun Guo , et al. · 2023

Graph anomaly detection plays a crucial role in identifying exceptional instances in graph data that deviate significantly from the majority. It has gained substantial attention in various domains of information security, including network…

Variance-Aware Bi-Attention Expression Transformer for Open-Set Facial Expression Recognition in the Wild Open

Junjie Zhu, B. Luo, Ao Sun, Jinghang Tan, Xibin Zhao , et al. · 2023

Despite the great accomplishments of facial expression recognition (FER) models in closed-set scenarios, they still lack open-world robustness when it comes to handling unknown samples. To address the demands of operating in an open enviro…

Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition Open

Bingjun Luo, Junjie Zhu, Tianyu Yang, Sicheng Zhao, Chao Hu , et al. · 2023

Existing methods on facial expression recognition (FER) are mainly trained in the setting when multi-class data is available. However, to detect the alien expressions that are absent during training, this type of methods cannot work. To ad…

Exploring Global and Local Information for Anomaly Detection with Normal Samples Open

Fan Xu, Nan Wang, Xibin Zhao · 2023

Anomaly detection aims to detect data that do not conform to regular patterns, and such data is also called outliers. The anomalies to be detected are often tiny in proportion, containing crucial information, and are suitable for applicati…

TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph Open

Nan Wang, Xuezhi Wen, Dalin Zhang, Xibin Zhao, Jiahui Ma , et al. · 2023

APT detection is difficult to detect due to the long-term latency, covert and slow multistage attack patterns of Advanced Persistent Threat (APT). To tackle these issues, we propose TBDetector, a transformer-based advanced persistent threa…

xASTNN: Improved Code Representations for Industrial Practice Open

Zhiwei Xu, Min Zhou, Xibin Zhao, Yang Chen, Xi Cheng , et al. · 2023

The application of deep learning techniques in software engineering becomes increasingly popular. One key problem is developing high-quality and easy-to-use source code representations for code-related tasks. The research community has acq…

Grow and Merge: A Unified Framework for Continuous Categories Discovery Open

Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao , et al. · 2022

Although a number of studies are devoted to novel category discovery, most of them assume a static setting where both labeled and unlabeled data are given at once for finding new categories. In this work, we focus on the application scenar…

Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions Open

Ding Ruan, Shuyi Ji, Chenggang Yan, Jun‐Jie Zhu, Xibin Zhao , et al. · 2021

The continuous emergence of drug-target interaction data provides an opportunity to construct a biological network for systematically discovering unknown interactions. However, this is challenging due to complex and heterogeneous correlati…

ICCCN 2021 Technical Program Open

Eleni Stai, L. L. Narayana, Mohit Agarwala, Nikhil Karamchandani, Chunmeng Zhong , et al. · 2021

View-Guided Point Cloud Completion Open

Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan , et al. · 2021

This paper presents a view-guided solution for the task of point cloud completion. Unlike most existing methods directly inferring the missing points using shape priors, we address this task by introducing ViPC (view-guided point cloud com…

Speeding up Very Fast Decision Tree with Low Computational Cost Open

Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang , et al. · 2020

Very Fast Decision Tree (VFDT) is one of the most widely used online decision tree induction algorithms, and it provides high classification accuracy with theoretical guarantees. In VFDT, the split-attempt operation is essential for leaf-s…

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