Hsin-Yuan Huang

Orcid: 0000-0001-5317-2613

According to our database1, Hsin-Yuan Huang authored at least 37 papers between 1995 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Learning shallow quantum circuits.
CoRR, 2024

2023
Learning quantum states and unitaries of bounded gate complexity.
CoRR, 2023

Local minima in quantum systems.
CoRR, 2023

Tight bounds on Pauli channel learning without entanglement.
CoRR, 2023

The power and limitations of learning quantum dynamics incoherently.
CoRR, 2023

Improved machine learning algorithm for predicting ground state properties.
CoRR, 2023

On quantum backpropagation, information reuse, and cheating measurement collapse.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Challenges and opportunities in quantum machine learning.
Nat. Comput. Sci., 2022

Hardware-efficient learning of quantum many-body states.
CoRR, 2022

Learning to predict arbitrary quantum processes.
CoRR, 2022

The Complexity of NISQ.
CoRR, 2022

Learning many-body Hamiltonians with Heisenberg-limited scaling.
CoRR, 2022

Foundations for learning from noisy quantum experiments.
CoRR, 2022

Dynamical simulation via quantum machine learning with provable generalization.
CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.
CoRR, 2022

2021
Nearly tight Trotterization of interacting electrons.
Quantum, 2021

Revisiting dequantization and quantum advantage in learning tasks.
CoRR, 2021

Quantum advantage in learning from experiments.
CoRR, 2021

A Hierarchy for Replica Quantum Advantage.
CoRR, 2021

Generalization in quantum machine learning from few training data.
CoRR, 2021

Provably efficient machine learning for quantum many-body problems.
CoRR, 2021

Efficient estimation of Pauli observables by derandomization.
CoRR, 2021

Information-theoretic bounds on quantum advantage in machine learning.
CoRR, 2021

Exponential Separations Between Learning With and Without Quantum Memory.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

2020
Power of data in quantum machine learning.
CoRR, 2020

Mixed-state entanglement from local randomized measurements.
CoRR, 2020

Predicting Many Properties of a Quantum System from Very Few Measurements.
CoRR, 2020

2019
Near-term quantum algorithms for linear systems of equations.
CoRR, 2019

Predicting Features of Quantum Systems using Classical Shadows.
CoRR, 2019

FlowQA: Grasping Flow in History for Conversational Machine Comprehension.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Linear and Kernel Classification: When to Use Which?
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Lighting estimation from a single image containing multiple planes.
Proceedings of the 7th International Conference on Multimedia Systems, 2016

Video stabilization with distortion correction for wide-angle lens dashcam.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2012
A 9.2b 47fJ/conversion-step asynchronous SAR ADC with input range prediction DAC switching.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

1995
A Comparison of Information Based Deflection Strategies.
Comput. Networks ISDN Syst., 1995


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