97 citations · 191 across the 12 of their papers we have counts for
13 papers
Interpretable Robotic Manipulation from Language
Boyuan Zheng, Jianlong Zhou, Fang Chen
Humans naturally employ linguistic instructions to convey knowledge, a process that proves significantly more complex for machines, especially within the context of multitask robot…
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +6
Lung cancer is the leading cause of cancer death and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer…
Ethical ChatGPT: Concerns, Challenges, and Commandments
Jianlong Zhou, Heimo Müller, Andreas Holzinger +1
Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such…
Genetic Imitation Learning by Reward Extrapolation
Boyuan Zheng, Jianlong Zhou, Fang Chen
Imitation learning demonstrates remarkable performance in various domains. However, imitation learning is also constrained by many prerequisites. The research community has done in…
Explaining Imitation Learning through Frames
Boyuan Zheng, Jianlong Zhou, Chunjie Liu +2
As one of the prevalent methods to achieve automation systems, Imitation Learning (IL) presents a promising performance in a wide range of domains. However, despite the considerabl…
GANExplainer: GAN-based Graph Neural Networks Explainer
Yiqiao Li, Jianlong Zhou, Boyuan Zheng +1
With the rapid deployment of graph neural networks (GNNs) based techniques into a wide range of applications such as link prediction, node classification, and graph classification…
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Yiqiao Li, Jianlong Zhou, Sunny Verma +1
Graph neural networks (GNNs) have demonstrated a significant boost in prediction performance on graph data. At the same time, the predictions made by these models are often hard to…
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making
Jianlong Zhou, Sunny Verma, Mudit Mittal +1
Algorithmic processes are increasingly employed to perform managerial decision making, especially after the tremendous success in Artificial Intelligence (AI). This paradigm shift…
Imitation Learning: Progress, Taxonomies and Challenges
Boyuan Zheng, Sunny Verma, Jianlong Zhou +2
Imitation learning aims to extract knowledge from human experts' demonstrations or artificially created agents in order to replicate their behaviors. Its success has been demonstra…
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation
Jianlong Zhou, Weidong Huang, Fang Chen
Building an effective Machine Learning (ML) model for a data set is a difficult task involving various steps. One of the most important steps is to compare generated substantial am…
Variational Co-embedding Learning for Attributed Network Clustering
Shuiqiao Yang, Sunny Verma, Borui Cai +4
Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is e…
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia
Jianlong Zhou, Hamad Zogan, Shuiqiao Yang +3
The recent COVID-19 pandemic has caused unprecedented impact across the globe. We have also witnessed millions of people with increased mental health issues, such as depression, st…
Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from A State in Australia
Jianlong Zhou, Shuiqiao Yang, Chun Xiao +1
The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has caused unprecedented impacts to people's daily life around the world. Various measures and policies such as lockdo…