Yiwen Lu

Orcid: 0000-0003-0925-2397

According to our database1, Yiwen Lu authored at least 28 papers between 2018 and 2024.

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Bibliography

2024
CoMoSVC: Consistency Model-based Singing Voice Conversion.
CoRR, 2024

2023
Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly.
J. Chem. Inf. Model., June, 2023

Shape-Changing Robotic Mannequin Shoulder With Bio-Inspired Layered Structure.
IEEE Robotics Autom. Lett., 2023

Bridging the Gaps: Learning Verifiable Model-Free Quadratic Programming Controllers Inspired by Model Predictive Control.
CoRR, 2023

Almost Surely √T Regret Bound for Adaptive LQR.
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

Safe and Efficient Switching Mechanism Design for Uncertified Linear Controller.
CoRR, 2022

A Hierarchical Control Framework for Drift Maneuvering of Autonomous Vehicles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Ensuring the Safety of Uncertified Linear State-Feedback Controllers via Switching.
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

E-Res U-Net: An improved U-Net model for segmentation of muscle images.
Expert Syst. Appl., 2021

Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars.
CoRR, 2021

Non-Episodic Learning for Online LQR of Unknown Linear Gaussian System.
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

DSCD: A Novel Deep Subspace Clustering Denoise Network for Single-Cell Clustering.
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


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