Heterogeneous relational message passing networks for molecular dynamics simulations. - Zun Wang; Chong Wang; Sibo Zhao; Yong Xu 016; Shaogang Hao; Chang Yu Hsieh; Bing-Lin Gu; Wenhui Duan (CoRR, 2021)

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. - Chen Liang; Bowen Wang; Shaogang Hao; Guangyong Chen; Pheng-Ann Heng; Xiaolong Zou (CoRR, 2022)

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. - Bowen Wang; Chen Liang; Jiaze Wang; Furui Liu; Shaogang Hao; Dong Li 016; Jianye Hao; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (CoRR, 2023)

Inverse Lithography Physics-informed Deep Neural Level Set for Mask Optimization. - Xingyu Ma; Shaogang Hao (CoRR, 2023)

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. - Bowen Wang; Chen Liang; Jiaze Wang; Jiezhong Qiu; Furui Liu; Shaogang Hao; Dong Li 016; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (AAAI, 2024)

Elastic EDA: Auto-Scaling Cloud Resources for EDA Tasks via Learning-based Approaches. - Linyu Zhu; Xingyu Ma; Shaogang Hao; Yushan Pan; Xinfei Guo (ICCD, 2024)