Chee-Kong Lee

11 papers A* 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design.
CoRR
Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen
2023 J jnl
Model Inversion Attacks Against Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
2023 J jnl
TensorCircuit: a Quantum Software Framework for the NISQ Era.
Quantum
Shi-Xin Zhang, Jonathan Allcock, Zhou-Quan Wan, Shuo Liu, Jiace Sun, Hao Yu, Xing-Han Yang, Jiezhong Qiu, Zhaofeng Ye, Yu-Qin Chen, Chee-Kong Lee, Yicong Zheng, Shao-Kai Jian, Hong Yao, Chang-Yu Hsieh, Shengyu Zhang
2022 J jnl
A photonic chip-based machine learning approach for the prediction of molecular properties.
CoRR
Jonathan Wei Zhong Lau, Hui Zhang, Lingxiao Wan, Liang Shi, Hong Cai, Xianshu Luo, Patrick Lo, Chee-Kong Lee, Leong-Chuan Kwek, Ai Qun Liu
2022 — conf
Exploring the Dynamics of Quantum Information in Many-Body Localised Systems with High Performance Computing.
SCFA
Shao-Hen Chiew, Leong-Chuan Kwek, Chee-Kong Lee
2022 A* conf
Hierarchical Graph Transformer with Adaptive Node Sampling.
NeurIPS
Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
2022 J jnl
Hierarchical Graph Transformer with Adaptive Node Sampling.
CoRR
Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
2022 J jnl
Model Inversion Attacks against Graph Neural Networks.
CoRR
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
2022 J jnl
Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks.
Nat. Mach. Intell.
Yu-Qin Chen, Yu Chen, Chee-Kong Lee, Shengyu Zhang, Chang-Yu Hsieh
2021 A* conf
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction.
NeurIPS
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
2019 J jnl
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.
CoRR
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang