Yiwen Lu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2025
Prediction of drug's anatomical therapeutic chemical (ATC) code by constructing biological profiles of ATC codes.
BMC Bioinform., December, 2025
Learning to Drift With Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits.
IEEE Robotics Autom. Lett., October, 2025
IEEE Trans. Autom. Control., August, 2025
Multim. Tools Appl., August, 2025
Automated Sentiment Classification and Topic Discovery in Large-Scale Social Media Streams.
CoRR, May, 2025
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences.
npj Digit. Medicine, 2025
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.
npj Digit. Medicine, 2025
Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm.
npj Digit. Medicine, 2025
Neural Networks, 2025
Evaluating the Bias, type I error and statistical power of the prior Knowledge-Guided integrated likelihood estimation (PIE) for bias reduction in EHR based association studies.
J. Biomed. Informatics, 2025
Resilient and efficient safeguard mechanism design for deploying untrusted linear controllers.
Autom., 2025
Proceedings of the 8th IEEE International Conference on Industrial Cyber-Physical Systems, 2025
"I Need Your Help!" : Facilitating Psychological Communication Between Left-Behind Children and Their Parents with an AI-Powered Sandbox.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
2024
Land Cover Mapping in East China for Enhancing High-Resolution Weather Simulation Models.
Remote. Sens., 2024
A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection.
Patterns, 2024
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.
J. Biomed. Informatics, 2024
Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data.
J. Biomed. Informatics, 2024
J. Am. Medical Informatics Assoc., 2024
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc., 2024
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.
J. Am. Medical Informatics Assoc., 2024
OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data.
CoRR, 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models.
CoRR, 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR.
Proceedings of the Conference on Health, 2024
DiSandbox: A Low-cost Digital Sandbox Tool to Support Psychological Analysis and Therapy for Left-behind Children.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly.
J. Chem. Inf. Model., June, 2023
IEEE Robotics Autom. Lett., 2023
Bridging the Gaps: Learning Verifiable Model-Free Quadratic Programming Controllers Inspired by Model Predictive Control.
CoRR, 2023
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Consecutive Inertia Drift of Autonomous RC Car via Primitive-Based Planning and Data-Driven Control.
IROS, 2023
2022
NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations.
IEEE Trans. Intell. Transp. Syst., 2022
Safe and Efficient Switching Controller Design for Partially Observed Linear-Gaussian Systems.
CoRR, 2022
CoRR, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Automatic segmentation of bioabsorbable vascular stents in Intravascular optical coherence images using weakly supervised attention network.
Future Gener. Comput. Syst., 2021
Expert Syst. Appl., 2021
Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars.
CoRR, 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2021
Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages.
Proceedings of the 30th USENIX Security Symposium, 2021
ZKCPlus: Optimized Fair-exchange Protocol Supporting Practical and Flexible Data Exchange.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts.
Comput. Math. Methods Medicine, 2020
IEEE Access, 2020
2019
An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks.
IEEE Access, 2019
A Nine Months Follow-up Study of Hemodynamic Effect on Bioabsorbable Coronary Stent Implantation.
IEEE Access, 2019
RiskCast: social sensing based traffic risk forecasting via inductive multi-view learning.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
An Optimal Task Placement Strategy in Geo-Distributed Data Centers Involving Renewable Energy.
IEEE Access, 2018
Energy-Efficient Task Scheduling for Data Centers with Unstable Renewable Energy: A Robust Optimization Approach.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018