Ziyuan Zhong

Orcid: 0000-0001-9661-1233

According to our database1, Ziyuan Zhong authored at least 20 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0.
J. Cloud Comput., December, 2024

2023
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles.
IEEE Trans. Software Eng., April, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion.
Proceedings of the Conference on Robot Learning, 2023

CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

Fast 2-out-of-n ECDSA Threshold Signature.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022
Automatic Map Generation for Autonomous Driving System Testing.
CoRR, 2022

Repairing Group-Level Errors for DNNs Using Weighted Regularization.
CoRR, 2022

Detecting multi-sensor fusion errors in advanced driver-assistance systems.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation.
CoRR, 2021

Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving.
CoRR, 2021

Understanding Local Robustness of Deep Neural Networks under Natural Variations.
Proceedings of the Fundamental Approaches to Software Engineering, 2021

2020
Understanding Spatial Robustness of Deep Neural Networks.
CoRR, 2020

Testing DNN image classifiers for confusion & bias errors.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019
Testing Deep Neural Network based Image Classifiers.
CoRR, 2019

Noise-tolerant fair classification.
CoRR, 2019

Metric Learning for Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Noise-tolerant fair classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
PhasePack User Guide.
CoRR, 2017

PhasePack: A phase retrieval library.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017


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