Kai Ding

According to our database, Kai Ding authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Robotics Online 3D Bin Packing: A Comparative Study of Conventional Heuristic and Deep Reinforcement Learning Approaches.

Heng Xiong, Kai Ding, Wan Ding, Xuchong Qiu, Klaus Janschek, Jianfeng Xu

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2021

Zuverlässigkeitsorientierter Entwurf und Analyse von Steuerungssystemen auf Modellebene unter zufälligen Hardwarefehlern: Dependability-oriented Design and Analysis of Control Systems at the Model Level under Random Hardware Faults.

Kai Ding

PhD thesis, 2021

2020

Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs.

Michael Beyer, Andrey Morozov, Emil Valiev, Christoph Schorn, Lydia Gauerhof, Kai Ding, Klaus Janschek

CoRR, 2020

Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers.

Andrey Morozov, Emil Valiev, Michael Beyer, Kai Ding, Lydia Gauerhof, Christoph Schorn

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

2019

Breaking the Limits of Redundancy Systems Analysis.

Clemens Dubslaff, Kai Ding, Andrey Morozov, Christel Baier, Klaus Janschek

CoRR, 2019

Efficient Model-Level Reliability Analysis of Simulink Models.

Kai Ding, Andrey Morozov, Klaus Janschek

Proceedings of the Computer Safety, Reliability, and Security, 2019

OpenErrorPro: A New Tool for Stochastic Model-Based Reliability and Resilience Analysis.

Andrey Morozov, Kai Ding, Mikael Steurer, Klaus Janschek

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Quantification of the Impact of Random Hardware Faults on Safety-Critical AI Applications: CNN-Based Traffic Sign Recognition Case Study.

Michael Beyer, Andrey Morozov, Kai Ding, Sheng Ding, Klaus Janschek

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

On-Line Error Detection and Mitigation for Time-Series Data of Cyber-Physical Systems using Deep Learning Based Methods.

Kai Ding, Sheng Ding, Andrey Morozov, Tagir Fabarisov, Klaus Janschek

Proceedings of the 15th European Dependable Computing Conference, 2019

2018

MORE: MOdel-based REdundancy for Simulink.

Kai Ding, Andrey Morozov, Klaus Janschek

Proceedings of the Computer Safety, Reliability, and Security, 2018

Reliability Evaluation of Functionally Equivalent Simulink Implementations of a PID Controller under Silent Data Corruption.

Kai Ding, Andrey Morozov, Klaus Janschek

Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

2017

Test Suite Prioritization for Efficient Regression Testing of Model-Based Automotive Software.

Andrey Morozov, Kai Ding, Tao Chen, Klaus Janschek

Proceedings of the 2017 International Conference on Software Analysis, 2017

Classification of Hierarchical Fault-Tolerant Design Patterns.

Kai Ding, Andrey Morozov, Klaus Janschek

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017