Cheng-Wei Ju

According to our database, Cheng-Wei Ju authored at least 6 papers between 2021 and 2026.

Collaborative distances:

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

2026

Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory.

Siqi Chen, Zhiqiang Wang, Yili Shen, Xianqi Deng, Xi Cheng, Cheng-Wei Ju, Jun Yi, Guo Ling, Dieaa Alhmoud, Hui Guan, Zhou Lin

CoRR, April, 2026

2025

Towards Few-shot Chemical Reaction Outcome Prediction.

Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

ChemXTree: A Feature-Enhanced Graph Neural Network-Neural Decision Tree Framework for ADMET Prediction.

Yuzhi Xu, Xinxin Liu, Wei Xia, Jiankai Ge, Cheng-Wei Ju, Haiping Zhang, John Z. H. Zhang

J. Chem. Inf. Model., 2024

Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces.

Siqi Chen, Zhiqiang Wang, Xianqi Deng, Yili Shen, Cheng-Wei Ju, Jun Yi, Lin Xiong, Guo Ling, Dieaa Alhmoud, Hui Guan, Zhou Lin

CoRR, 2024

2022

Improving Subgraph Representation Learning via Multi-View Augmentation.

Yili Shen, Jiaxu Yan, Cheng-Wei Ju, Jun Yi, Zhou Lin, Hui Guan

CoRR, 2022

2021

Machine Learning Enables Highly Accurate Predictions of Photophysical Properties of Organic Fluorescent Materials: Emission Wavelengths and Quantum Yields.

Cheng-Wei Ju, Hanzhi Bai, Bo Li, Rizhang Liu

J. Chem. Inf. Model., 2021