Daniel Liang

According to our database, Daniel Liang authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Tolerant Testing of Stabilizer States with Mixed State Inputs.

Vishnu Iyer, Daniel Liang

CoRR, 2024

Agnostic Tomography of Stabilizer Product States.

Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang

CoRR, 2024

Pseudoentanglement Ain't Cheap.

Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang

CoRR, 2024

Improved Stabilizer Estimation via Bell Difference Sampling.

Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Low-Cost Generation and Evaluation of Dictionary Example Sentences.

Bill Cai, Clarence Boon Liang Ng, Daniel Liang, Shelvia Hotama

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

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

Daniel Liang

Quantum, June, 2023

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

Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang

CoRR, 2023

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

Daniel Liang, David Liang, Alice Wei, Licheng Ryan Kuo, Shaojie Chang, Marc Jason Pomeroy, Yongfeng Gao

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

Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom.

Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang

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

2022

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

Aravind Gollakota, Daniel Liang

Quantum, 2022

2021

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

Ling Chen, David Renshaw, Michael Kellam, Ritaban Dutta, Daniel Liang

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.

Ritaban Dutta, David Renshaw, Cherry Chen, Daniel Liang

Array, 2020

2019

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

Ritaban Dutta, David Renshaw, Hong Yin, Daniel Liang

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.

Ritaban Dutta, Heiko Mueller, Daniel Liang

Proceedings of the 2018 Annual IEEE International Systems Conference, 2018