Yi Han

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 17

Top Topics

Photo Collections

Reinforcement Learning

Cloud Computing

Allocation Policies

Top Venues

Publications

Yi Han, Shanika Karunasekera, Christopher Leckie
Continual Learning for Fake News Detection from Social Media. ICANN (2) (2021)
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. Inf. Process. Manag. 58 (5) (2021)
Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
Knowledge Enhanced Multi-modal Fake News Detection. CoRR (2021)
Yi Han, Shanika Karunasekera, Christopher Leckie
Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams. CoRR (2020)
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
Embedding Partial Propagation Network for Fake News Early Detection. CIKM (Workshops) (2020)
Yi Han, Shanika Karunasekera, Christopher Leckie
Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. PAKDD (1) (2020)
Yi Han, Shanika Karunasekera, Christopher Leckie
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media. CoRR (2020)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN (2020)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR (2019)
Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. IEEE BigData (2019)
Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood
Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams. CoRR (2019)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec (2018)
Yi Han, Benjamin I. P. Rubinstein
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks. AAAI Workshops (2018)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR (2018)
Yi Han, Benjamin I. P. Rubinstein
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks. CoRR (2017)
Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie
Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing. IEEE Trans. Dependable Secur. Comput. 14 (1) (2017)
Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin I. P. Rubinstein
A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning. IEEE Trans. Inf. Forensics Secur. 11 (3) (2016)
Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie
Virtual machine allocation policies against co-resident attacks in cloud computing. ICC (2014)
Yi Han, Jeffrey Chan, Christopher Leckie
Analysing Virtual Machine Usage in Cloud Computing. SERVICES (2013)
Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie
Security Games for Virtual Machine Allocation in Cloud Computing. GameSec (2013)