Normative Modeling for Personalized Clinical Pathway Using Organizational Semiotics Methods. - Weizi Li; Kecheng Liu; Shuzhang Li; Hongqiao Yang (ISCSCT (2), 2008)

A Semiotic Multi-Agent Modeling Approach for Clinical Pathway Management. - Weizi Li; Kecheng Liu; Shuzhang Li; Hongqiao Yang (J. Comput., 2010)

Adaptive Requirement-Driven Architecture for Integrated Healthcare Systems. - Hongqiao Yang; Kecheng Liu; Weizi Li (J. Comput., 2010)

Knowledge-based clinical pathway for medical quality improvement. - Hongqiao Yang; Weizi Li; Kecheng Liu; Junping Zhang (Inf. Syst. Frontiers, 2012)

Semiotic Interoperability - A Critical Step towards Systems Integration. - Weizi Li; Kecheng Liu; Shixiong Liu (KDIR/KMIS, 2013)

Semiotics in Interoperation for Information Systems Working Collaboratively. - Weizi Li; Kecheng Liu; Shixiong Liu (IC3K, 2013)

Pragmatic Oriented Data Interoperability for Smart Healthcare Information Systems. - Shixiong Liu; Weizi Li; Kecheng Liu (CCGRID, 2014)

Knowledge-based Design Cost Estimation Through Extending Industry Foundation Classes. - Shen Xu; Kecheng Liu; Weizi Li (ICEIS (2), 2014)

A Component Data-Focused Method to Build the Executable Model for a DoDAF Compliant Architecture. - Li Huang; Guangqi Huang; Yaohong Zhang; Weizi Li; Xueshan Luo (ICISO, 2014)

Assessing Pragmatic Interoperability of Information Systems from a Semiotic Perspective. - Shixiong Liu; Weizi Li; Kecheng Liu (ICISO, 2014)

Integrated clinical pathway management for medical quality improvement - based on a semiotically inspired systems architecture Open. - Weizi Li; Kecheng Liu; Hongqiao Yang; Changrui Yu (Eur. J. Inf. Syst., 2014)

The Relationship between Flexible Human Resource Management and Enterprise Innovation Performance: A Study from Organizational Learning Capability Perspective. - Jin Chen; Weizi Li (ICISO, 2015)

Assessing Pragmatic Interoperability for Process Alignment in Collaborative Working Environment. - Shixiong Liu; Weizi Li; Kecheng Liu (ICISO, 2015)

Biologically-Inspired Visual Simulation of Insect Swarms. - Weizi Li; David Wolinski; Julien Pettré; Ming C. Lin (Comput. Graph. Forum, 2015)

Virtualized Traffic at Metropolitan Scales. - David Wilkie; Jason Sewall; Weizi Li; Ming C. Lin (Frontiers Robotics AI, 2015)

Organisational Responsiveness Through Signs. - Diego Fuentealba; Kecheng Liu; Weizi Li (ICISO, 2016)

A framework for integrating syntax, semantics and pragmatics for computer-aided professional practice: With application of costing in construction industry. - Shen Xu; Kecheng Liu; Llewellyn C. M. Tang; Weizi Li (Comput. Ind., 2016)

e-Leadership through strategic alignment: an empirical study of small- and medium-sized enterprises in the digital age. - Weizi Li; Kecheng Liu; Maksim Belitski; Abby Ghobadian; Nicholas O'Regan (J. Inf. Technol., 2016)

Citywide Estimation of Traffic Dynamics via Sparse GPS Traces. - Weizi Li; Dong Nie; David Wilkie; Ming C. Lin (IEEE Intell. Transp. Syst. Mag., 2017)

City-scale traffic animation using statistical learning and metamodel-based optimization. - Weizi Li; David Wolinski; Ming C. Lin (ACM Trans. Graph., 2017)

Exploring the Cloud Computing Loop in the Strategic Alignment Model. - Maksim Belitski; Valérie Fernandez; Sabine Khalil; Weizi Li; Kecheng Liu (ICISO, 2018)

A Framework to Evaluate Semiotic Interoperability for Information Sharing. - Shixiong Liu; Weizi Li (ICISO, 2018)

Estimating Traffic Conditions At Metropolitan Scale Using Traffic Flow Theory. - Weizi Li; Meilei Jiang; Yaoyu Chen; Ming C. Lin (CoRR, 2018)

Community detection method based on mixed-norm sparse subspace clustering. - Bo Tian; Weizi Li (Neurocomputing, 2018)

Deep Learning for Predicting Non-attendance in Hospital Outpatient Appointments. - Muhammad Dashtban; Weizi Li (HICSS, 2019)

ADAPS: Autonomous Driving Via Principled Simulations. - Weizi Li; David Wolinski; Ming C. Lin (ICRA, 2019)

Discovering Medication Patterns for High-Complexity Drug-Using Diseases Through Electronic Medical Records. - Huiqun Huang; Xiaopu Shang; Hongmei Zhao; Nan Wu; Weizi Li; Yuan Xu; Yang Zhou; Lei Fu (IEEE Access, 2019)

Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous Driving. - Weizi Li (CoRR, 2019)

A method to multi-attribute decision making with picture fuzzy information based on Muirhead mean. - Yuan Xu; Xiaopu Shang; Jun Wang 050; Runtong Zhang; Weizi Li; Yuping Xing (J. Intell. Fuzzy Syst., 2019)

A Novel Approach to Multi-Attribute Group Decision-Making based on Interval-Valued Intuitionistic Fuzzy Power Muirhead Mean. - Wuhuan Xu; Xiaopu Shang; Jun Wang 050; Weizi Li (Symmetry, 2019)

Simulation and Learning for Urban Mobility: City-scale Traffic Reconstruction and Autonomous Driving. - Weizi Li (2019)

Predicting Risk of Hospital Readmission for Comorbidity Patients through a Novel Deep Learning Framework. - Muhammad Dashtban; Weizi Li (HICSS, 2020)

Blood Glucose Forecasting using LSTM Variants under the Context of Open Source Artificial Pancreas System. - Tianfeng Wang; Weizi Li; Dana Lewis (HICSS, 2020)

A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving. - Qianwen Chao; Huikun Bi; Weizi Li; Tianlu Mao; Zhaoqi Wang; Ming C. Lin; Zhigang Deng 001 (Comput. Graph. Forum, 2020)

Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model. - Siying Liu; Runtong Zhang; Xiaopu Shang; Weizi Li (Comput. Methods Programs Biomed., 2020)

Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States. - Songhe Wang; Kangda Wei; Lei Lin; Weizi Li (CoRR, 2020)

Assessing Road Traffic Safety During COVID-19: Inequality, Irregularity, and Severity. - Lei Lin; Feng Shi 001; Weizi Li (CoRR, 2020)

Portfolio formation with preselection using deep learning from long-term financial data. - Wuyu Wang; Weizi Li; Ning Zhang; Kecheng Liu (Expert Syst. Appl., 2020)

A framework to evaluate the interoperability of information systems - Measuring the maturity of the business process alignment. - Leo Liu; Weizi Li; Naif R. Aljohani; Miltiadis D. Lytras; Saeed-Ul Hassan; Raheel Nawaz (Int. J. Inf. Manag., 2020)

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models. - Bibek Poudel; Weizi Li (ITSC, 2021)

Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering. - Yu Shen; Laura Y. Zheng; Manli Shu; Weizi Li; Tom Goldstein; Ming C. Lin (NeurIPS, 2021)

Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images. - Yu Shen; Laura Y. Zheng; Manli Shu; Weizi Li; Tom Goldstein; Ming C. Lin (CoRR, 2021)

Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston. - Lahari Karadla; Weizi Li (CoRR, 2021)

Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network. - Lei Lin; Weizi Li; Lei Zhu (CoRR, 2021)

SparRL: Graph Sparsification via Deep Reinforcement Learning. - Ryan Wickman; Xiaofei Zhang 002; Weizi Li (CoRR, 2021)

A Generic Graph Sparsification Framework using Deep Reinforcement Learning. - Ryan Wickman; Xiaofei Zhang 002; Weizi Li (ICDM, 2022)

Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering. - Yu Shen; Weizi Li; Ming C. Lin (IROS, 2022)

Learning to Control DC Motor for Micromobility in Real Time With Reinforcement Learning. - Bibek Poudel; Thomas Watson 007; Weizi Li (ITSC, 2022)

AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning. - Michael Villarreal; Bibek Poudel; Ryan Wickman; Yu Shen; Weizi Li (CoRR, 2022)

Understanding and Developing Equitable and Fair Transportation Systems. - Weizi Li (CoRR, 2022)

Urban Socio-Technical Systems: An Autonomy and Mobility Perspective. - Weizi Li (CoRR, 2022)

Vehicle Trajectory Prediction Using LSTMs With Spatial-Temporal Attention Mechanisms. - Lei Lin; Weizi Li; Huikun Bi; Lingqiao Qin (IEEE Intell. Transp. Syst. Mag., 2022)

Efficient Quality-Diversity Optimization through Diverse Quality Species. - Ryan Wickman; Bibek Poudel; Michael Villarreal; Xiaofei Zhang 002; Weizi Li (GECCO Companion, 2023)

Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning. - Michael Villarreal; Bibek Poudel; Weizi Li (ITSC, 2023)

Learning to Control and Coordinate Hybrid Traffic Through Robot Vehicles at Complex and Unsignalized Intersections. - Dawei Wang 006; Weizi Li; Lei Zhu 008; Jia Pan 001 (CoRR, 2023)

Hybrid Traffic Control and Coordination from Pixels. - Michael Villarreal; Bibek Poudel; Jia Pan 001; Weizi Li (CoRR, 2023)

Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning. - Ke Guo; Wei Jing; Lingping Gao; Weiwei Liu; Weizi Li; Jia Pan 001 (CoRR, 2023)

Analyzing Emissions and Energy Efficiency in Mixed Traffic Control at Unsignalized Intersections. - Michael Villarreal; Dawei Wang 006; Jia Pan 001; Weizi Li (CoRR, 2023)

Beyond Simulated Drivers: Evaluating the Impact of Real-World Car-Following in Mixed Traffic Control. - Bibek Poudel; Weizi Li (CoRR, 2023)

Traffic Reconstruction and Analysis of Natural Driving Behaviors at Unsignalized Intersections. - Supriya Sarker; Bibek Poudel; Michael Villarreal; Weizi Li (CoRR, 2023)

Improving triaging from primary care into secondary care using heterogeneous data-driven hybrid machine learning. - Bing Wang; Weizi Li; Anthony Bradlow; Eghosa Bazuaye; Antoni T. Y. Chan (Decis. Support Syst., 2023)

LASIL: Learner-Aware Supervised Imitation Learning For Long-Term Microscopic Traffic Simulation. - Ke Guo; Zhenwei Miao; Wei Jing; Weiwei Liu; Weizi Li; Dayang Hao; Jia Pan 001 (CVPR, 2024)

Introduction to the Minitrack on Digitally-enabled Blood Testing in Healthcare. - Weizi Li; Hector Zenil; Kendall Ho; Samantha Kanza (HICSS, 2024)

Early Detection of Inflammatory Arthritis to Improve Referrals Using Multimodal Machine Learning from Blood Testing, Semi-Structured and Unstructured Patient Records. - Bing Wang; Weizi Li; Anthony Bradlow; Antoni T. Y. Chan; Eghosa Bazuaye (HICSS, 2024)

Mixed Traffic Control and Coordination from Pixels. - Michael Villarreal; Bibek Poudel; Jia Pan 001; Weizi Li (ICRA, 2024)

EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning. - Bibek Poudel; Weizi Li; Kevin Heaslip (IROS, 2024)

AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning. - Michael Villarreal; Bibek Poudel; Ryan Wickman; Yu Shen; Weizi Li (IROS, 2024)

TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields. - Songyang Liu; Shuai Li; Haochen Li; Weizi Li; Jindong Tan (CoRR, 2024)

Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning. - Dawei Wang 006; Weizi Li; Lei Zhu 008; Jia Pan 001 (CoRR, 2024)

CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control. - Bibek Poudel; Weizi Li (CoRR, 2024)

Heterogeneous Mixed Traffic Control and Coordination. - Iftekharul Islam; Weizi Li; Shuai Li; Kevin Heaslip (CoRR, 2024)

Neighbor-Aware Reinforcement Learning for Mixed Traffic Optimization in Large-scale Networks. - Iftekharul Islam; Weizi Li (CoRR, 2024)

Exploring Transformer-Augmented LSTM for Temporal and Spatial Feature Learning in Trajectory Prediction. - Chandra Raskoti; Weizi Li (CoRR, 2024)

A Comprehensive Review on Traffic Datasets and Simulators for Autonomous Vehicles. - Supriya Sarker; Brent Maples; Weizi Li (CoRR, 2024)

Beacon: A Naturalistic Driving Dataset During Blackouts for Benchmarking Traffic Reconstruction and Control. - Supriya Sarker; Iftekharul Islam; Bibek Poudel; Weizi Li (CoRR, 2024)

Analyzing Fundamental Diagrams of Mixed Traffic Control at Unsignalized Intersections. - Iftekharul Islam; Weizi Li (CoRR, 2024)

Large-Scale Mixed Traffic Control Using Dynamic Vehicle Routing and Privacy-Preserving Crowdsourcing. - Dawei Wang 006; Weizi Li; Jia Pan 001 (IEEE Internet Things J., 2024)

Reinforcement learning based multi-perspective motion planning of manned electric vertical take-off and landing vehicle in urban environment with wind fields. - Songyang Liu; Weizi Li; Haochen Li; Shuai Li 018 (Eng. Appl. Artif. Intell., 2025)

Learning to control and coordinate mixed traffic through robot vehicles at complex and unsignalized intersections. - Dawei Wang 006; Weizi Li; Lei Zhu 008; Jia Pan 001 (Int. J. Robotics Res., 2025)

Multi-stage multimodal fusion network with language models and uncertainty evaluation for early risk stratification in rheumatic and musculoskeletal diseases. - Bing Wang; Weizi Li; Anthony Bradlow; Archie Watt; Antoni T. Y. Chan; Eghosa Bazuaye (Inf. Fusion, 2025)

Corrigendum to "Multi-stage multimodal fusion network with language models and uncertainty evaluation for early risk stratification in rheumatic and musculoskeletal diseases" [Information Fusion, Volume 120 (2025) 103068]. - Bing Wang; Weizi Li; Anthony Bradlow; Archie Watt; Antoni T. Y. Chan; Eghosa Bazuaye (Inf. Fusion, 2025)

Optimising Multimedia Learning: Effects of Pedagogical Agents' Appearance and Voice. - Mengshi Xiao; Weizi Li; Lei Han; Shasha Zheng (J. Comput. Assist. Learn., 2025)

Personalized uncertainty quantification in artificial intelligence. - Tapabrata Chakraborti; Christopher R. S. Banerji; Ariane Marandon; Vicky Hellon; Robin Mitra; Brieuc Lehmann; Leandra Bräuninger; Sarah F. McGough; Cagatay Turkay; Alejandro F. Frangi; Ginestra Bianconi; Weizi Li; et al. (Nat. Mac. Intell., 2025)

Swarm Robotic Flocking With Aggregation Ability Privacy. - Shuai Zhang 024; Yunke Huang; Weizi Li; Jia Pan 001 (IEEE Trans Autom. Sci. Eng., 2025)

Mutual Adaptation in Human-Robot Co-Transportation with Human Preference Uncertainty. - Al Jaber Mahmud; Weizi Li; Xuan Wang (CoRR, 2025)

Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning. - Songyang Liu; Muyang Fan; Weizi Li; Jing Du; Shuai Li (CoRR, 2025)

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning. - Bibek Poudel; Xuan Wang; Weizi Li; Lei Zhu; Kevin Heaslip (CoRR, 2025)

MIAT: Maneuver-Intention-Aware Transformer for Spatio-Temporal Trajectory Prediction. - Chandra Raskoti; Iftekharul Islam; Xuan Wang; Weizi Li (CoRR, 2025)

Origin-Destination Pattern Effects on Large-Scale Mixed Traffic Control via Multi-Agent Reinforcement Learning. - Muyang Fan; Songyang Liu; Weizi Li (CoRR, 2025)

PulseRide: A Robotic Wheelchair for Personalized Exertion Control with Human-in-the-Loop Reinforcement Learning. - Azizul Zahid; Bibek Poudel; Danny Scott; Jason Scott; Scott Crouter; Weizi Li; Sai Swaminathan (CoRR, 2025)

Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction. - Yizhi Zhou; Jie Xu; Jiawei Xia; Zechen Hu; Weizi Li; Xuan Wang (CoRR, 2025)

VibRun: Real-time Unobtrusive Gait Analysis for Treadmill Running via Footstep Vibrations. - Tianhao Wu; Yi Wu 020; Bibek Poudel; Syed Irfan Ali Meerza; Rajasi Gore Athawale; Weizi Li; Zan Gao; Çagdas Karatas; Jian Liu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)