Sotabase

Career

· Assistant Professor, The University of Texas at San Antonio2024–
· Doctor of Philosophy - PhD, Bioinformatics, University of Southern California2019–2024
· Research Assistant, University of Southern California2019–2024
· Bachelor of Science - BS, MATHEMATICS AND STATISTICS, Wuhan University2015–2019

Publications (61)

Expressive power of parametrized quantum circuits
Physical Review Research · 2020
297
cited
Experimental Quantum Generative Adversarial Networks for Image Generation
Physical Review Applied · 2020
241
cited
Quantum circuit architecture search for variational quantum algorithms
npj Quantum Information · 2020
197
cited
Quantum noise protects quantum classifiers against adversaries
Physical Review Research · 2020
140
cited
Recent Advances for Quantum Neural Networks in Generative Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022
119
cited
Efficient Measure for the Expressivity of Variational Quantum Algorithms.
Physical Review Letters · 2021
116
cited
On the learnability of quantum neural networks
2020
105
cited
The Expressive Power of Parameterized Quantum Circuits
arXiv.org · 2018
97
cited
Towards understanding the power of quantum kernels in the NISQ era
Quantum · 2021
90
cited
QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines
Physical Review Applied · 2022
82
cited
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers
arXiv.org · 2020
57
cited
A Grover-search based quantum learning scheme for classification
New Journal of Physics · 2018
45
cited
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
Neural Information Processing Systems · 2022
40
cited
The Dilemma of Quantum Neural Networks
IEEE Transactions on Neural Networks and Learning Systems · 2021
40
cited
DyRep: Bootstrapping Training with Dynamic Re-parameterization
Computer Vision and Pattern Recognition · 2022
38
cited
Quantum Differentially Private Sparse Regression Learning
IEEE Transactions on Information Theory · 2020
36
cited
Problem-Dependent Power of Quantum Neural Networks on Multiclass Classification.
Physical Review Letters · 2022
34
cited
Symmetric Pruning in Quantum Neural Networks
International Conference on Learning Representations · 2022
29
cited
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
arXiv.org · 2025
27
cited
Unentangled quantum reinforcement learning agents in the OpenAI Gym
2022
24
cited
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