Cheekong Lee

According to our database, Cheekong Lee authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Model Inversion Attacks Against Graph Neural Networks.

Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen

IEEE Trans. Knowl. Data Eng., September, 2023

TensorCircuit: a Quantum Software Framework for the NISQ Era.

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

Quantum, February, 2023

An Equivariant Generative Framework for Molecular Graph-Structure Co-Design.

Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen

CoRR, 2023

2022

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

Yu-Qin Chen, Yu Chen, Chee-Kong Lee, Shengyu Zhang, Chang-Yu Hsieh

Nat. Mach. Intell., 2022

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

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

CoRR, 2022

Exploring the Dynamics of Quantum Information in Many-Body Localised Systems with High Performance Computing.

Shao-Hen Chiew, Leong-Chuan Kwek, Chee-Kong Lee

Proceedings of the Supercomputing Frontiers - 7th Asian Conference, 2022

Hierarchical Graph Transformer with Adaptive Node Sampling.

Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ProtGNN: Towards Self-Explaining Graph Neural Networks.

Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction.

Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.

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

CoRR, 2019