Yi Dong

Orcid: 0000-0003-3047-7777

Affiliations:
  • University of Liverpool, UK


According to our database1, Yi Dong authored at least 15 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems.
IEEE Robotics Autom. Lett., 2024

Building Guardrails for Large Language Models.
CoRR, 2024

Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting.
CoRR, 2024

2023
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance.
ACM Trans. Embed. Comput. Syst., 2023

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation.
CoRR, 2023

STPA for Learning-Enabled Systems: A Survey and A New Method.
CoRR, 2023

STPA for Learning-Enabled Systems: A Survey and A New Practice.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Short-term Load Forecasting with Distributed Long Short-Term Memory.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems.
CoRR, 2022

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

EnnCore: End-to-End Conceptual Guarding of Neural Architectures.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems.
CoRR, 2021

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems.
CoRR, 2021

Detecting Operational Adversarial Examples for Reliable Deep Learning.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021


  Loading...