Jianlong Zhou

Orcid: 0000-0001-6034-644X

According to our database1, Jianlong Zhou authored at least 106 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Imitation Learning: Progress, Taxonomies and Challenges.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network.
Int. J. Comput. Vis., May, 2024

Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing.
CoRR, 2024

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack.
CoRR, 2024

Interpretable Robotic Manipulation from Language.
CoRR, 2024

Genetic Imitation Learning by Reward Extrapolation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic.
Health Inf. Sci. Syst., December, 2023

AI ethics: from principles to practice.
AI Soc., December, 2023

Learning multi-modal brain tumor segmentation from privileged semi-paired MRI images with curriculum disentanglement learning.
Comput. Biol. Medicine, June, 2023

AI Accountability: Approaches, Affecting Factors, and Challenges.
Computer, April, 2023

Artificial Intelligence Ethics and Trust: From Principles to Practice.
IEEE Intell. Syst., 2023

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks.
CoRR, 2023

Ethical ChatGPT: Concerns, Challenges, and Commandments.
CoRR, 2023

Genetic Imitation Learning by Reward Extrapolation.
CoRR, 2023

Explaining Imitation Learning through Frames.
CoRR, 2023

GANExplainer: GAN-based Graph Neural Networks Explainer.
CoRR, 2023

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks.
IEEE Access, 2023

Embedded CR Assisted NOMA for IoT Resource Allocation: A Case Study of Vehicle Networks.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

SFusion: Self-attention Based N-to-One Multimodal Fusion Block.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SIDVis: Designing Visual Interactive System for Analyzing Suicide Ideation Detection.
Proceedings of the 27th International Conference Information Visualisation, 2023

Effects of Uncertainty and Knowledge Graph on Perception of Fairness.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Fairness and Explanation in AI-Informed Decision Making.
Mach. Learn. Knowl. Extr., 2022

A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics.
CoRR, 2022

Role of Social Media in Technology Adoption for Sustainable Agriculture Practices: Evidence from Twitter Analytics.
Commun. Assoc. Inf. Syst., 2022

Effects of Font Style and Font Color in News Text on User Cognitive Load in Intelligent User Interfaces.
IEEE Access, 2022

A Survey of Facial Capture for Virtual Reality.
IEEE Access, 2022

Effects of Fairness and Explanation on Trust in Ethical AI.
Proceedings of the Machine Learning and Knowledge Extraction, 2022

Does a Compromise on Fairness Exist in Using AI Models?
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Are Graph Neural Network Explainers Robust to Graph Noises?
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model.
IEEE Trans. Image Process., 2021

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.
IEEE Trans. Comput. Soc. Syst., 2021

Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia.
SN Comput. Sci., 2021

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction.
Int. J. Data Sci. Anal., 2021

Imitation Learning: Progress, Taxonomies and Opportunities.
CoRR, 2021

Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation.
CoRR, 2021

Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

ExVis: Explainable Visual Decision Support System for Risk Management.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

2020
Effects of personality traits on user trust in human-machine collaborations.
J. Multimodal User Interfaces, 2020

XTQA: Span-Level Explanations of the Textbook Question Answering.
CoRR, 2020

Examination of community sentiment dynamics due to covid-19 pandemic: a case study from Australia.
CoRR, 2020

A Survey on Ethical Principles of AI and Implementations.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards Explainability for AI Fairness.
Proceedings of the xxAI - Beyond Explainable AI, 2020

A Radial Visualisation for Model Comparison and Feature Identification.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019
Multitask Learning for Sparse Failure Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Do I trust my machine teammate?: an investigation from perception to decision.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Effects of Influence on User Trust in Predictive Decision Making.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking.
Proceedings of the Machine Learning and Knowledge Extraction, 2019

2018
Revealing User Confidence in Machine Learning-Based Decision Making.
Proceedings of the Human and Machine Learning, 2018

2D Transparency Space - Bring Domain Users and Machine Learning Experts Together.
Proceedings of the Human and Machine Learning, 2018

Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge.
Proceedings of the Human and Machine Learning, 2018

Do I Trust a Machine? Differences in User Trust Based on System Performance.
Proceedings of the Human and Machine Learning, 2018

Dynamic Handwriting Signal Features Predict Domain Expertise.
ACM Trans. Interact. Intell. Syst., 2018

End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence.
IEEE Trans. Affect. Comput., 2018

<i>DecisionMind</i>: revealing human cognition states in data analytics-driven decision making with a multimodal interface.
J. Multimodal User Interfaces, 2018

A topo-graph model for indistinct target boundary definition from anatomical images.
Comput. Methods Programs Biomed., 2018

Multimodal behavioral and physiological signals as indicators of cognitive load.
Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2018

2017
Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study.
Int. J. Intell. Syst. Technol. Appl., 2017

Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach.
CoRR, 2017

User Trust Dynamics: An Investigation Driven by Differences in System Performance.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Computational boundary definition by geodesic graph model.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making.
Proceedings of the Human-Computer Interaction - INTERACT 2017, 2017

Neural net-based and safety-oriented visual analytics for time-spatial data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Indexing Cognitive Load using Blood Volume Pulse Features.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

BVP Feature Signal Analysis for Intelligent User Interface.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

A Multivariate Clustering Approach for Infrastructure Failure Predictions.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Robust Multimodal Cognitive Load Measurement
Human-Computer Interaction Series, Springer, ISBN: 978-3-319-31700-7, 2016

Constrained differential evolution using generalized opposition-based learning.
Soft Comput., 2016

Making machine learning useable by revealing internal states update - a transparent approach.
Int. J. Comput. Sci. Eng., 2016

Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint.
Int. J. Comput. Assist. Radiol. Surg., 2016

Topology-aware illumination design for volume rendering.
BMC Bioinform., 2016

Trust and Reliance Based on System Accuracy.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Correlation for user confidence in predictive decision making.
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016

Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data.
Proceedings of the 2016 Big Data Visual Analytics, 2016

2015
Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface.
ACM Trans. Comput. Hum. Interact., 2015

Making machine learning useable.
Int. J. Intell. Syst. Technol. Appl., 2015

Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making.
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, 2015

Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features.
Proceedings of the Human-Computer Interaction - INTERACT 2015, 2015

Safety-oriented visual analytics of people movement.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Spoken Interruptions Signal Productive Problem Solving and Domain Expertise in Mathematics.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Be Informed and Be Involved: Effects of Uncertainty and Correlation on User's Confidence in Decision Making.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

2014
Trust and cognitive load in the text-chat environment: the role of mouse movement.
Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures, 2014

Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Combining empirical and machine learning techniques to predict math expertise using pen signal features.
Proceedings of the 2014 ACM workshop on Multimodal Learning Analytics Workshop and Grand Challenge, 2014

Importance-aware lighting design in volume visualization.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013
A multi-dimensional importance metric for contour tree simplification.
J. Vis., 2013

Trust and cooperation in text-based computer-mediated communication.
Proceedings of the Augmentation, Application, Innovation, Collaboration, OzCHI '13, Adelaide, Australia - November 25, 2013

2012
Visualization and Analysis of 3D Microscopic Images.
PLoS Comput. Biol., 2012

In-Situ Support for Automotive Manufacturing Using Spatial Augmented Reality.
Int. J. Virtual Real., 2012

Similarity-driven multi-level partial contour tree simplification.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Applying spatial augmented reality to facilitate in-situ support for automotive spot welding inspection.
Proceedings of the 10th International Conference on Virtual Reality Continuum and its Applications in Industry, 2011

2009
Structural Relationship Preservation in Volume Rendering.
Proceedings of the Computer and Information Science 2009 [outstanding papers from the 8th ACIS/IEEE International Conference on Computer and Information Science, 2009

Automatic Transfer Function Generation Using Contour Tree Controlled Residue Flow Model and Color Harmonics.
IEEE Trans. Vis. Comput. Graph., 2009

2008
A concept of volume rendering guided search process to analyze medical data set.
Comput. Medical Imaging Graph., 2008

2006
Focal Region-based Volume Rendering.
Int. J. Pattern Recognit. Artif. Intell., 2006

2005
Control of Object Visibility in Volume Rendering - a Distance-based Approach.
Int. J. Image Graph., 2005

The roles of perception for volume visualization and designing volume visualization methods based on perceptual factors.
Proceedings of the 2nd Symposium on Applied Perception in Graphics and Visualization, 2005

2004
Distance Based Enhancement for Focal Region Based Volume Rendering.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004

2002
Hybrid Focal Region-Based Volume Rednering of Medical Data.
Proceedings of the Bildverarbeitung für die Medizin 2002: Algorithmen, 2002

Focal Region-Guided Feature-Based Volume Rendering.
Proceedings of the 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT 2002), 2002


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