Sehui Han

According to our database1, Sehui Han authored at least 9 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Scalable Multi-Task Transfer Learning for Molecular Property Prediction.
CoRR, 2024

Task Addition in Multi-Task Learning by Geometrical Alignment.
CoRR, 2024

Multitask Extension of Geometrically Aligned Transfer Encoder.
CoRR, 2024

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Design of New Inorganic Crystals with the Desired Composition Using Deep Learning.
J. Chem. Inf. Model., September, 2023

3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.
CoRR, 2023

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules.
Proceedings of the International Conference on Machine Learning, 2022


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