Hsing-Kuo Kenneth Pao

Orcid: 0000-0002-5518-9475

Affiliations:
  • National Taiwan University of Science & Technology


According to our database1, Hsing-Kuo Kenneth Pao authored at least 56 papers between 1998 and 2024.

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Bibliography

2024
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis.
IEEE J. Biomed. Health Informatics, July, 2024

Mining fuzzy local periodic activity pattern for Smart home applications.
Knowl. Based Syst., 2024

Revenue forecasting in smart retail based on customer clustering analysis.
Internet Things, 2024

The <i>Z</i>-Curve as an <i>n</i>-Dimensional Hypersphere: Properties and Analysis.
CoRR, 2024

Large Language Model Pruning.
CoRR, 2024

Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation.
CoRR, 2024

2023
Conditional Diffusion Models for Semantic 3D Medical Image Synthesis.
CoRR, 2023

ASAGeR: Automated Short Answer Grading Regressor via Sentence Simplification.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Fake News Detection via Sentiment Neutralization.
Proceedings of the IEEE International Conference on Big Data, 2023

Self-supervised Federated Learning for Anomaly Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

Density-Based Prototypical Contrastive Learning on Visual Representations.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
User Behaviour Risk Evaluation in Zero Trust Architecture Environment.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Pseudo slicer on three dimensional brain tumor segmentation.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Mining non-redundant distinguishing subsequence for trip destination forecasting.
Knowl. Based Syst., 2021

A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Active Learning with Numerical Feature Annotation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Multi-modal, Multi-labeled Sports Highlight Extraction.
Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Virtual Adversarial Active Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Dealing with Interleaved Event Inputs for Intrusion Detection.
J. Inf. Sci. Eng., 2019

A Unified Approach on Active Learning Dual Supervision.
Proceedings of the International Joint Conference on Neural Networks, 2019

Extracting Explainable Deep Representation for Machine Tutoring.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Efficient dynamic malware analysis using virtual time control mechanics.
Comput. Secur., 2018

Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Group Behavior Recognition Based on Dictionary and Hierarchical Learning.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

2017
Big active learning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Sparse tree structured representation for re-identification.
Pattern Recognit., 2016

Compressed learning for time series classification.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Text Comprehensiveness Ranking.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Efficient spear-phishing threat detection using hypervisor monitor.
Proceedings of the International Carnahan Conference on Security Technology, 2015

2014
Connected vehicle safety science, system, and framework.
Proceedings of the IEEE World Forum on Internet of Things, 2014

Sensor Reading Prediction Using Anisotropic Kernel Gaussian Process Regression.
Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

Efficient traffic speed forecasting based on massive heterogenous historical data.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
An efficient scheduling algorithm for scalable video streaming over P2P networks.
Comput. Networks, 2013

Multi-view Malicious Document Detection.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

A novel scalable video streaming system on P2P networks.
Proceedings of the International Conference on Computing, Networking and Communications, 2013

Malicious URL filtering - A big data application.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
An RSVM based two-teachers-one-student semi-supervised learning algorithm.
Neural Networks, 2012

Trajectory analysis for user verification and recognition.
Knowl. Based Syst., 2012

An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection.
J. Inf. Sci. Eng., 2012

Malicious URL Detection Based on Kolmogorov Complexity Estimation.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Efficient and effective NIDS for cloud virtualization environment.
Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012

2011
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
Game Bot Detection via Avatar Trajectory Analysis.
IEEE Trans. Comput. Intell. AI Games, 2010

SBAD: Sequence Based Attack Detection via Sequence Comparison.
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

Trajectory Based Behavior Analysis for User Verification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

The Typhoon Track Classification using Tri-plots and Markov Chain.
Proceedings of the KDIR 2010, 2010

2008
Game bot identification based on manifold learning.
Proceedings of the 7th ACM SIGCOMM Workshop on Network and System Support for Games, 2008

Game Bot Detection Based on Avatar Trajectory.
Proceedings of the Entertainment Computing, 2008

2005
Model Trees for Classification of Hybrid Data Types.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

2004
Computing Entropy for Ortholog Detection.
Proceedings of the International Conference on Computational Intelligence, 2004

2002
Different Manhattan project: automatic statistical model generation.
Proceedings of the Visualization and Data Analysis 2002, 2002

2001
Continuous Model for Salient Shape Selection and Representation.
PhD thesis, 2001

A Continuous Shape Descriptor by Orientation Diffusion.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

1999
The Shape of Illusory Figures.
Proceedings of the 1999 International Conference on Image Processing, 1999

Measuring Convexity for Figure/Ground Separation.
Proceedings of the International Conference on Computer Vision, 1999

1998
Salient and Multiple Illusory Surfaces.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998


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