Chee‐Kong Lee

Materials Science · Physical Sciences

15h-index772citations38works0.02yr avg
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Research Topics

Machine Learning in Materials Science(15), Quantum Computing Algorithms and Architecture(14), Quantum Information and Cryptography(9), Neural Networks and Reservoir Computing(9), Computational Drug Discovery Methods(8)

Publications38 total

Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers
arXiv (Cornell University)·2025Open Access
Improving quantum annealing by engineering the coupling to the environment
EPJ Quantum Technology·2023· 1 citedOpen Access
Author response for "An equivariant generative framework for molecular graph-structure Co-design"
2023
Stability and dynamics of many-body localized systems coupled to a small bath
Physical review. B./Physical review. B·2023· 4 cited
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design
2023Open Access
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design
arXiv (Cornell University)·2023Open Access
TensorCircuit: a Quantum Software Framework for the NISQ Era
Quantum·2023· 113 citedOpen Access
An equivariant generative framework for molecular graph-structure Co-design
Chemical Science·2023· 17 citedOpen Access
Molecular Property Prediction with Photonic Chip‐Based Machine Learning
Laser & Photonics Review·2022· 20 citedOpen Access
Hierarchical Graph Transformer with Adaptive Node Sampling
arXiv (Cornell University)·2022· 30 citedOpen Access
Model Inversion Attacks Against Graph Neural Networks
IEEE Transactions on Knowledge and Data Engineering·2022· 48 cited
Model Inversion Attacks against Graph Neural Networks
arXiv (Cornell University)·2022Open Access
ProtGNN: Towards Self-Explaining Graph Neural Networks
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 101 citedOpen Access
TensorCircuit: a Quantum Software Framework for the NISQ Era
arXiv (Cornell University)·2022· 4 citedOpen Access
Variational Quantum-Neural Hybrid Eigensolver
Physical Review Letters·2022· 53 citedOpen Access
Variational Quantum Simulation of Chemical Dynamics with Quantum Computers
Journal of Chemical Theory and Computation·2022· 19 cited
Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks
Nature Machine Intelligence·2022· 36 cited
A photonic chip-based machine learning approach for the prediction of molecular properties
arXiv (Cornell University)·2022· 2 citedOpen Access
Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers
Journal of Chemical Theory and Computation·2022· 4 citedOpen Access
Exploring the Dynamics of Quantum Information in Many-Body Localised Systems with High Performance Computing
Lecture notes in computer science·2022Open Access
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Frequent Co-authors

Chang‐Yu Hsieh(19), Zaixi Zhang(12), Liang Shi(12), Shengyu Zhang(11), L. C. Kwek(8), Chengqiang Lu(7), Enhong Chen(6), Yuqin Chen(5), Qiming Sun(5), Qi Liu(4), Qi Liu(4), Jonathan Wei Zhong Lau(4), Shao-Hen Chiew(4), Shi‐Xin Zhang(3), Zhou‐Quan Wan(3), Jiezhong Qiu(3), Qi Liu(3), Shengyu Zhang(3), Qi Liu(3), Jiangbin Gong(3)