Weizi Li
Orcid: 0000-0003-2878-3185
According to our database1,
Weizi Li
authored at least 67 papers
between 2008 and 2024.
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Bibliography
2024
Large-Scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing.
IEEE Internet Things J., January, 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation.
CoRR, 2024
Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning.
CoRR, 2024
TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields.
CoRR, 2024
Early Detection of Inflammatory Arthritis to Improve Referrals Using Multimodal Machine Learning from Blood Testing, Semi-Structured and Unstructured Patient Records.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning.
Decis. Support Syst., March, 2023
Traffic Reconstruction and Analysis of Natural Driving Behaviors at Unsignalized Intersections.
CoRR, 2023
Beyond Simulated Drivers: Evaluating the Impact of Real-World Car-Following in Mixed Traffic Control.
CoRR, 2023
Analyzing Emissions and Energy Efficiency in Mixed Traffic Control at Unsignalized Intersections.
CoRR, 2023
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning.
CoRR, 2023
Learning to Control and Coordinate Hybrid Traffic Through Robot Vehicles at Complex and Unsignalized Intersections.
CoRR, 2023
Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Vehicle Trajectory Prediction Using LSTMs With Spatial-Temporal Attention Mechanisms.
IEEE Intell. Transp. Syst. Mag., 2022
AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning.
CoRR, 2022
Learning to Control DC Motor for Micromobility in Real Time With Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network.
CoRR, 2021
Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston.
CoRR, 2021
CoRR, 2021
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
A framework to evaluate the interoperability of information systems - Measuring the maturity of the business process alignment.
Int. J. Inf. Manag., 2020
Portfolio formation with preselection using deep learning from long-term financial data.
Expert Syst. Appl., 2020
Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity.
CoRR, 2020
Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States.
CoRR, 2020
Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model.
Comput. Methods Programs Biomed., 2020
A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving.
Comput. Graph. Forum, 2020
Blood Glucose Forecasting using LSTM Variants under the Context of Open Source Artificial Pancreas System.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Predicting Risk of Hospital Readmission for Comorbidity Patients through a Novel Deep Learning Framework.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
2019
A Novel Approach to Multi-Attribute Group Decision-Making based on Interval-Valued Intuitionistic Fuzzy Power Muirhead Mean.
Symmetry, 2019
A method to multi-attribute decision making with picture fuzzy information based on Muirhead mean.
J. Intell. Fuzzy Syst., 2019
Some q-rung orthopair fuzzy Muirhead means with their application to multi-attribute group decision making.
J. Intell. Fuzzy Syst., 2019
Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous Driving.
CoRR, 2019
Discovering Medication Patterns for High-Complexity Drug-Using Diseases Through Electronic Medical Records.
IEEE Access, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
2018
Neurocomputing, 2018
CoRR, 2018
Proceedings of the Digitalisation, Innovation, and Transformation, 2018
Proceedings of the Digitalisation, Innovation, and Transformation, 2018
2017
City-scale traffic animation using statistical learning and metamodel-based optimization.
ACM Trans. Graph., 2017
IEEE Intell. Transp. Syst. Mag., 2017
2016
e-Leadership through strategic alignment: an empirical study of small- and medium-sized enterprises in the digital age.
J. Inf. Technol., 2016
A framework for integrating syntax, semantics and pragmatics for computer-aided professional practice: With application of costing in construction industry.
Comput. Ind., 2016
Proceedings of the Socially Aware Organisations and Technologies. Impact and Challenges, 2016
2015
Assessing Pragmatic Interoperability for Process Alignment in Collaborative Working Environment.
Proceedings of the Information and Knowledge Management in Complex Systems, 2015
The Relationship between Flexible Human Resource Management and Enterprise Innovation Performance: A Study from Organizational Learning Capability Perspective.
Proceedings of the Information and Knowledge Management in Complex Systems, 2015
2014
Integrated clinical pathway management for medical quality improvement - based on a semiotically inspired systems architecture Open.
Eur. J. Inf. Syst., 2014
Assessing Pragmatic Interoperability of Information Systems from a Semiotic Perspective.
Proceedings of the Service Science and Knowledge Innovation, 2014
A Component Data-Focused Method to Build the Executable Model for a DoDAF Compliant Architecture.
Proceedings of the Service Science and Knowledge Innovation, 2014
Knowledge-based Design Cost Estimation Through Extending Industry Foundation Classes.
Proceedings of the ICEIS 2014, 2014
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014
2013
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2013
Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013
2012
Inf. Syst. Frontiers, 2012
2010
J. Comput., 2010
J. Comput., 2010
2008
Normative Modeling for Personalized Clinical Pathway Using Organizational Semiotics Methods.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008