Yang Gao

Orcid: 0000-0001-9328-1611

Affiliations:
  • University of Texas at Dallas, TX, USA


According to our database1, Yang Gao authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Heterogeneous Domain Adaptation for Multistream Classification on Cyber Threat Data.
IEEE Trans. Dependable Secur. Comput., 2024

2023
Advanced Persistent Threat Detection Using Data Provenance and Metric Learning.
IEEE Trans. Dependable Secur. Comput., 2023

2022
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams.
IEEE Trans. Knowl. Data Eng., 2022

Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Crook-sourced intrusion detection as a service.
J. Inf. Secur. Appl., 2021

Attention-Based Spatial Guidance for Image-to-Image Translation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Generating Point Cloud from Single Image in The Few Shot Scenario.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

An Episodic Learning based Geolocation Detection Framework for Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

Cross-Domain Sentiment Classification with Attention-Assisted GAN.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Single View Point Cloud Generation via Unified 3D Prototype.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Learning on Knowledge Graph for Recommender System: A Survey.
CoRR, 2020

Prediction of Plantar Shear Stress Distribution by Conditional GAN with Attention Mechanism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Adaptive Multi-Region Network For Medical Image Analysis.
Proceedings of the IEEE International Conference on Image Processing, 2020

Automating Cyberdeception Evaluation with Deep Learning.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

SetConv: A New Approach for Learning from Imbalanced Data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning.
Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020

A Simple, Effective and Extendible Approach to Deep Multi-task Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space.
Proceedings of the World Wide Web Conference, 2019

Towards Self-Adaptive Metric Learning On the Fly.
Proceedings of the World Wide Web Conference, 2019

SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Regression Prediction For Geolocation Aware Through Relative Density Ratio Estimation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Improving intrusion detectors by crook-sourcing.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019

Multistream Classification with Relative Density Ratio Estimation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics.
CoRR, 2018

2017
Multistream regression with asynchronous concept drift detection.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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