Chee-Kong Lee

发表

Machine learning Frenkel Hamiltonian parameters to accelerate simulations of exciton dynamics.

A. Farahvash, Chee-Kong Lee, Qiming Sun, 2020, The Journal of chemical physics.

Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors

Chang-Yu Hsieh, Chee-Kong Lee, L. Shi, 2021, 2112.01633.

Terahertz-Driven Stark Spectroscopy of CdSe and CdSe:CdS Core:Shell Quantum Dots.

V. Bulović, K. Nelson, M. Bawendi, 2019, Nano letters.

Deep Learning for Optoelectronic Properties of Organic Semiconductors

Qiming Sun, Shengyu Zhang, Chang-Yu Hsieh, 2019, 1910.13551.

Representing the Molecular Signatures of Disordered Molecular Semiconductors in Size Extendable Models of Exciton Dynamics.

Chee-Kong Lee, A. Willard, 2020, The journal of physical chemistry. B.

TensorCircuit: a Quantum Software Framework for the NISQ Era

J. Qiu, J. Allcock, Chang-Yu Hsieh, 2022, 2205.10091.

Variational Quantum Simulations of Finite-Temperature Dynamical Properties via Thermofield Dynamics

Chang-Yu Hsieh, Chee-Kong Lee, L. Shi, 2022, 2206.05571.

Improving quantum annealing by engineering the coupling to the environment

D. Jaksch, Chee-Kong Lee, D. Hutchinson, 2022, 2208.05270.

Neural-network variational quantum algorithm for simulating many-body dynamics

Shengyu Zhang, Chang-Yu Hsieh, P. Patil, 2020, Physical Review Research.

Transfer learning with graph neural networks for optoelectronic properties of conjugated oligomers.

Chang-Yu Hsieh, Chee-Kong Lee, Qiming Sun, 2020, The Journal of chemical physics.

with photonic chip-based machine learning

G. Lo, H. Cai, Xianshu Luo, 2022 .

A photonic chip-based machine learning approach for the prediction of molecular properties

H. Cai, Xianshu Luo, L. Kwek, 2022, ArXiv.

Accuracy of second order perturbation theory in the polaron and variational polaron frames.

Jeremy M Moix, Jianshu Cao, Jianshu Cao, 2012, The Journal of chemical physics.

Deep Learning for Optoelectronic Properties of Organic Semiconductors

Shengyu Zhang, Chang-Yu Hsieh, Chee-Kong Lee, 2019, The Journal of Physical Chemistry C.

Variational Quantum Simulation of Chemical Dynamics with Quantum Computers.

Chang-Yu Hsieh, Chee-Kong Lee, L. Shi, 2021, Journal of chemical theory and computation.

Variational Quantum-Neural Hybrid Eigensolver.

Chang-Yu Hsieh, Chee-Kong Lee, Shengyu Zhang, 2021, Physical review letters.

Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers.

L. Kwek, Chee-Kong Lee, L. Shi, 2021, Journal of chemical theory and computation.

Simulation of Condensed-Phase Spectroscopy with Near-Term Digital Quantum Computers.

Chang-Yu Hsieh, Chee-Kong Lee, L. Shi, 2021, Journal of chemical theory and computation.

Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations

Chang-Yu Hsieh, Chee-Kong Lee, Shengyu Zhang, 2021, npj Quantum Information.

Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations

Shengyu Zhang, Qiming Sun, Chang-yu Hsieh, 2019, npj Quantum Information.

TensorCircuit: a Quantum Software Framework for the NISQ Era

J. Qiu, J. Allcock, Chang-Yu Hsieh, 2022, Quantum.

Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks

Chang-Yu Hsieh, Chee-Kong Lee, Shengyu Zhang, 2020, Nature Machine Intelligence.

Optimizing Quantum Annealing Schedules: From Monte Carlo Tree Search to QuantumZero

Yu Chen, Chang-Yu Hsieh, Shengyu Zhang, 2020 .

Coherent quantum transport in disordered systems: A unified polaron treatment of hopping and band-like transport.

Jeremy M Moix, Jianshu Cao, Chee-Kong Lee, 2014, The Journal of chemical physics.

Variational Quantum Simulations of Finite-Temperature Dynamical Properties via Thermofield Dynamics

Chang-Yu Hsieh, Chee-Kong Lee, L. Shi, 2022, 2206.05571.

Modeling the Influence of Correlated Molecular Disorder on the Dynamics of Excitons in Organic Molecular Semiconductors

Adam P. Willard, Liang Shi, Chee-Kong Lee, 2018, The Journal of Physical Chemistry C.

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction pdf

Chee-Kong Lee, Hao Wang, Zaixi Zhang, 2021, NeurIPS.

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models pdf

Pengfei Chen, Shengyu Zhang, Renjie Liao, 2019, ArXiv.

ProtGNN: Towards Self-Explaining Graph Neural Networks pdf

Cheekong Lee, Hao Wang, Zaixi Zhang, 2021, AAAI.

A Model of Charge-Transfer Excitons: Diffusion, Spin Dynamics, and Magnetic Field Effects.

Liang Shi, Chee-Kong Lee, A. Willard, 2016, The journal of physical chemistry letters.

Excitonic energy transfer in light-harvesting complexes in purple bacteria.

Jianshu Cao, Chee-Kong Lee, Yunjin Yu, 2012, The Journal of chemical physics.

Quantum Diffusion on Molecular Tubes: Universal Scaling of the 1D to 2D Transition.

Jeremy M Moix, Jianshu Cao, Chee-Kong Lee, 2015, Physical review letters.

The Enhancement of Interfacial Exciton Dissociation by Energetic Disorder Is a Nonequilibrium Effect

Adam P. Willard, Liang Shi, Chee-Kong Lee, 2017, ACS central science.

Stochastic resonance of quantum discord

L. Kwek, Jianshu Cao, Chee-Kong Lee, 2011 .

Molecular Property Prediction with Photonic Chip‐Based Machine Learning

Xianshu Luo, L. Kwek, Chee-Kong Lee, 2022, Laser & Photonics Reviews.