Yixuan Wang

Orcid: 0000-0003-0847-8570

Affiliations:
  • Northwestern University, Evanston, IL, USA


According to our database1, Yixuan Wang authored at least 27 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

Boosting Long-Delayed Reinforcement Learning with Auxiliary Short-Delayed Task.
CoRR, 2024

2023
Empowering Autonomous Driving with Large Language Models: A Safety Perspective.
CoRR, 2023

State-wise Safe Reinforcement Learning With Pixel Observations.
CoRR, 2023

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling.
CoRR, 2023

Safety-Assured Speculative Planning with Adaptive Prediction.
CoRR, 2023

POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems.
CoRR, 2023

Safety-Assured Speculative Planning with Adaptive Prediction.
IROS, 2023

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments.
Proceedings of the International Conference on Machine Learning, 2023

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Verification and Design of Robust and Safe Neural Network-enabled Autonomous Systems.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
A Tool for Neural Network Global Robustness Certification and Training.
CoRR, 2022

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning.
CoRR, 2022

Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Design-while-verify: correct-by-construction control learning with verification in the loop.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control.
CoRR, 2021

Verification in the Loop: Correct-by-Construction Control Learning with Reach-avoid Guarantees.
CoRR, 2021

Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Weak Adaptation Learning: Addressing Cross-domain Data Insufficiency with Weak Annotator.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bounding Perception Neural Network Uncertainty for Safe Control of Autonomous Systems.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
One for Many: Transfer Learning for Building HVAC Control.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Energy-Efficient Control Adaptation with Safety Guarantees for Learning-Enabled Cyber-Physical Systems.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Know the Unknowns: Addressing Disturbances and Uncertainties in Autonomous Systems : Invited Paper.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020


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