Daniel Liang

Orcid: 0000-0002-7418-0468

According to our database¹, Daniel Liang authored at least 10 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2023

Clifford Circuits can be Properly PAC Learned if and only if RP=NP.

[BibT_eX]

[DOI]

Daniel Liang

Quantum, June, 2023

Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates.

[BibT_eX]

[DOI]

CoRR, 2023

Improved Stabilizer Estimation via Bell Difference Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

An investigation on energy spectral information of computed tomography for machine learning in lesion classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom.

[BibT_eX]

[DOI]

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

2022

On the Hardness of PAC-learning Stabilizer States with Noise.

[BibT_eX]

[DOI]

Aravind Gollakota

Daniel Liang

Quantum, 2022

2021

Characterization of Reversibly-Actuating Shape Memory Alloy Foils Produced By Planar Flow Casting.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

2020

Machine learning based approach for shape memory polymer behavioural characterization.

[BibT_eX]

[DOI]

Array, 2020

2019

Applying Vision Based Predictive Modelling for Rapid Characterization of Shape Memory Polymer.

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on Big Data, 2019

2018

An interactive architecture for industrial scale prediction: Industry 4.0 adaptation of machine learning.

[BibT_eX]

[DOI]

Ritaban Dutta

Heiko Mueller

Daniel Liang

Proceedings of the 2018 Annual IEEE International Systems Conference, 2018

Daniel Liang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...