activity
20202023
most citedA Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning

10 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 3 cited

Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information

Zhen Guo, Qi Zhang, Xinwei An +6

Due to various and serious adverse impacts of spreading fake news, it is often known that only people with malicious intent would propagate fake news. However, it is not necessaril…

cs.LG2022

PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration

Qisheng Zhang, Zhen Guo, Audun Jøsang +4

Proximal Policy Optimization (PPO) is a highly popular policy-based deep reinforcement learning (DRL) approach. However, we observe that the homogeneous exploration process in PPO…

cs.AI2022★ 10 cited

A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning

Zhen Guo, Zelin Wan, Qisheng Zhang +7

An in-depth understanding of uncertainty is the first step to making effective decisions under uncertainty. Deep/machine learning (ML/DL) has been hugely leveraged to solve complex…

cs.CR2020★ 3 cited

Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey

Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan +2

Diversity-based security approaches have been studied for several decades since the 1970's. The concept of diversity-by-design emerged in the 1980's and, since then, diversity-base…

cs.CR2020★ 1 cited

Vulnerability-Aware Resilient Networks: Software Diversity-based Network Adaptation

Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore +1

By leveraging the principle of software polyculture to ensure security in a network, we proposed a vulnerability-based software diversity metric to determine how a network topology…