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Unsupervised Coupled Metric Similarity for Non-IID Categorical Data

IEEE transactions on knowledge and data engineering, 2018-09, Vol.30 (9), p.1810-1823

2018

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CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning

IEEE transactions on knowledge and data engineering, 2019-05, Vol.31 (5), p.853-866

2019

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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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MRML: Multimodal Rumor Detection by Deep Metric Learning

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

2023

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RED: Learning the role embedding in networks via Discrete-time quantum walk

Applied intelligence (Dordrecht, Netherlands), 2022, Vol.52 (2), p.1493-1507

2022

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Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context

IEEE intelligent systems, 2018-11, Vol.33 (6), p.57-67

2018

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LogRep: Log-based Anomaly Detection by Representing both Semantic and Numeric Information in Raw Messages

2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), 2023, p.194-206

2023

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A subspace ensemble framework for classification with high dimensional missing data

Multidimensional systems and signal processing, 2017-10, Vol.28 (4), p.1309-1324

2017

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CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships

Entropy (Basel, Switzerland), 2020-03, Vol.22 (4), p.391

2020

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Learning Multimodal Representations by Symmetrically Transferring Local Structures

Symmetry (Basel), 2020-09, Vol.12 (9), p.1504

2020

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Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis

IEEE access, 2019, Vol.7, p.98639-98651

2019

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Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions

Computers & security, 2022-01, Vol.112, p.102537, Article 102537

2022

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Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection

Information processing & management, 2024-01, Vol.61 (1), p.103564, Article 103564

2024

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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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Robust unsupervised network intrusion detection with self-supervised masked context reconstruction

Computers & security, 2023-05, Vol.128, p.103131, Article 103131

2023

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A unified multimodal classification framework based on deep metric learning

Neural networks, 2025-01, Vol.181, p.106747, Article 106747

2025

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OnceNAS: Discovering efficient on-device inference neural networks for edge devices

Information sciences, 2024-05, Vol.669, p.120567, Article 120567

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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MACA: Memory-aware convolution accelerating for CNN inference on edge devices

2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2024, p.1250-1255

2024

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Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.9427-9436

2021

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DGLP: Incorporating Orientation Information for Enhanced Link Prediction in Directed Graphs

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.6565-6569

2024

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Toward security as a service: A trusted cloud service architecture with policy customization

Journal of parallel and distributed computing, 2021-03, Vol.149, p.76-88

2021

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Probability-Weighted Extreme Learning Machine for Classification with Uncertain Data

2016 IEEE First International Conference on Data Science in Cyberspace (DSC), 2016, p.663-667

2016

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SEU-tolerant Restricted Boltzmann Machine learning on DSP-based fault detection

2014 12th International Conference on Signal Processing (ICSP), 2014, p.1503-1506

2014

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LogTraceAD: Anomaly Detection from Both Logs and Traces with Graph Representation Learning

Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology, 2023, p.116-121

2023

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Unsupervised Coupled Metric Similarity for Non-IID Categorical Data

CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning

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

MRML: Multimodal Rumor Detection by Deep Metric Learning

RED: Learning the role embedding in networks via Discrete-time quantum walk

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context

LogRep: Log-based Anomaly Detection by Representing both Semantic and Numeric Information in Raw Messages

A subspace ensemble framework for classification with high dimensional missing data

CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships

Learning Multimodal Representations by Symmetrically Transferring Local Structures

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis

Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions

Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection

Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection

Robust unsupervised network intrusion detection with self-supervised masked context reconstruction

A unified multimodal classification framework based on deep metric learning

OnceNAS: Discovering efficient on-device inference neural networks for edge devices

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

MACA: Memory-aware convolution accelerating for CNN inference on edge devices

Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning

DGLP: Incorporating Orientation Information for Enhanced Link Prediction in Directed Graphs

Toward security as a service: A trusted cloud service architecture with policy customization

Probability-Weighted Extreme Learning Machine for Classification with Uncertain Data

SEU-tolerant Restricted Boltzmann Machine learning on DSP-based fault detection

LogTraceAD: Anomaly Detection from Both Logs and Traces with Graph Representation Learning

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