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Shengchao Liu
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Year
Atomo: Communication-efficient learning via atomic sparsification
H Wang, S Sievert, S Liu, Z Charles, D Papailiopoulos, S Wright
Advances in Neural Information Processing Systems (NeurIPS) 2018 31, 2018
3582018
Pre-training Molecular Graph Representation with 3D Geometry
S Liu, H Wang, W Liu, J Lasenby, H Guo, J Tang
International Conference on Learning Representations (ICLR) 2022, 2021
2192021
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
S Liu, MF Demirel, Y Liang
Advances in Neural Information Processing Systems (NeurIPS) 2019 32, 2019
1652019
Learning to navigate the synthetically accessible chemical space using reinforcement learning
SK Gottipati, B Sattarov, S Niu, Y Pathak, H Wei, S Liu, S Blackburn, ...
International Conference on Machine Learning (ICML) 2021, 3668-3679, 2020
1272020
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
S Liu, Y Liang, A Gitter
AAAI-SA 2019, 2019
1182019
Learning drug functions from chemical structures with convolutional neural networks and random forests
JG Meyer, S Liu, IJ Miller, JJ Coon, A Gitter
Journal of Chemical Information and Modeling (JCIM) 2019 59 (10), 4438-4449, 2019
952019
Bad Global Minima Exist and SGD Can Reach Them
S Liu, D Papailiopoulos, D Achlioptas
Advances in Neural Information Processing Systems (NeurIPS) 2020 33, 8543-8552, 2020
762020
Practical Model Selection for Prospective Virtual Screening
S Liu, M Alnammi, SS Ericksen, AF Voter, GE Ananiev, JL Keck, ...
Journal of Chemical Information and Modeling (JCIM) 2019 59 (1), 282-293, 2018
662018
Molgensurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Y Du, T Fu, J Sun, S Liu
arXiv preprint arXiv:2203.14500, 2022
632022
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
S Liu, W Nie, C Wang, J Lu, Z Qiao, L Liu, J Tang, C Xiao, A Anandkumar
Nature Machine Intelligence 2023, 2022
612022
Torchdrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Z Zhu, C Shi, Z Zhang, S Liu, M Xu, X Yuan, Y Zhang, J Chen, H Cai, J Lu, ...
arXiv preprint arXiv:2202.08320, 2022
582022
Molecular Geometry Pretraining with SE(3)-invariant Denoising Distance Matching
S Liu, H Guo, J Tang
International Conference on Learning Representations (ICLR) 2023, 2022
502022
Structured Multi-task Learning for Molecular Property Prediction
S Liu, M Qu, Z Zhang, H Cai, J Tang
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022
29*2022
A Text-guided Protein Design Framework
S Liu, Y Li, Z Li, A Gitter, Y Zhu, J Lu, Z Xu, W Nie, A Ramanathan, C Xiao, ...
arXiv preprint arXiv:2302.04611, 2023
282023
Conversational Drug Editing Using Retrieval and Domain Feedback
S Liu, J Wang, Y Yang, C Wang, L Liu, H Guo, C Xiao
International Conference on Learning Representations (ICLR) 2024, 2023
23*2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
S Liu, W Du, Z Ma, H Guo, J Tang
International Conference on Machine Learning (ICML) 2023, 2023
192023
Neural sentence ordering based on constraint graphs
Y Zhu, K Zhou, JY Nie, S Liu, Z Dou
AAAI 2021 35 (16), 14656-14664, 2021
192021
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
H Zhao, S Liu, C Ma, H Xu, J Fu, ZH Deng, L Kong, Q Liu
Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023
142023
Evaluating self-supervised learning for molecular graph embeddings
H Wang, J Kaddour, S Liu, J Tang, M Kusner, J Lasenby, Q Liu
Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023
122023
Attentive Walk-Aggregating Graph Neural Networks
MF Demirel, S Liu, S Garg, Z Shi, Y Liang
Transactions on Machine Learning Research (TMLR) 2022, 2021
12*2021
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