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Deep Isolation Forest for Anomaly Detection

IEEE transactions on knowledge and data engineering, 2023-12, Vol.35 (12), p.1-14

2023

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Few-shot website fingerprinting attack

Computer networks (Amsterdam, Netherlands : 1999), 2021-10, Vol.198, p.108298, Article 108298

2021

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Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.5723-5736

2024

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RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision

Information processing & management, 2023-09, Vol.60 (5), p.103459, Article 103459

2023

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Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning

IEEE transactions on knowledge and data engineering, 2023-04, Vol.35 (4), p.3952-3965

2023

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Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.6135-6139

2024

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Multi-Scale Sampling Based MLP Networks for Anomaly Detection in Multivariate Time Series

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023, p.1421-1428

2023

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DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams

2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS), 2023, p.908-915

2023

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Factorization Machine-based Unsupervised Model Selection Method

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022, p.796-802

2022

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Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data

2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), 2021, p.299-306

2021

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Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2019, Vol.33 (1), p.5541-5548

2019

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Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract)

2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024, p.5683-5684

2024

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Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection

2021 International Conference on Data Mining Workshops (ICDMW), 2021, p.975-982

2021

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Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network

Proceedings of the Web Conference 2021, 2021, p.1328-1339

2021

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Script event prediction based on pre-trained model with tail event enhancement

2021 5th International Conference on Computer Science and Artificial Intelligence, 2021, p.242-248

2021

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MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data

2019 IEEE International Conference on Data Mining (ICDM), 2019, p.1408-1413

2019

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Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, p.17-26

2018

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Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-8

2021

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Word Embedding-based Context-sensitive Network Flow Payload Anomaly Detection

2021 3rd International Conference on Applied Machine Learning (ICAML), 2021, p.191-194

2021

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Deep Isolation Forest for Anomaly Detection

Few-shot website fingerprinting attack

Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning

Boundary-Driven Active Learning for Anomaly Detection in Time Series Data Streams

Multi-Scale Sampling Based MLP Networks for Anomaly Detection in Multivariate Time Series

DPSS: Dynamic Parameter Selection for Outlier Detection on Data Streams

Factorization Machine-based Unsupervised Model Selection Method

Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data

Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection

Deep Reinforced Active Learning for Time Series Anomaly Detection

Tree2tree Structural Language Modeling for Compiler Fuzzing

Combine Value Clustering and Weighted Value Coupling Learning for Outlier Detection in Categorical Data

OADA: An Online Data Augmentation Method for Raw Histopathology Images

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization

Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract)

Surrogate Supervision-based Deep Weakly-supervised Anomaly Detection

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network

Script event prediction based on pre-trained model with tail event enhancement

MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data

Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data

Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next

Word Embedding-based Context-sensitive Network Flow Payload Anomaly Detection

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