Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
Predicting protein-ligand binding affinity via joint global-local interaction modeling
Published in ICDM 2022, 2022
Abstract
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Published in ICLR 2023, 2023
Abstract
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
Published in ICLR 2023, MLDD workshop, Oral, 2023
Abstract
Bridging Machine Learning and Thermodynamics for Accurate pKa Prediction
Published in National Science Open, Volume 3, Number 2, 2024, 2024
Abstract
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
Published in Preprint, 2024
Abstract
Bridging Machine Learning and Thermodynamics for Accurate pKa Prediction
Published in JACS Au, Vol 4/Issue 9, Cover, 2024
Abstract
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
Published in NeurIPS 2024, 2024
Abstract
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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