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Shengchao(Chao) Liu
Shengchao(Chao) Liu
MILA-UdeM
Verified email at umontreal.ca - Homepage
Title
Cited by
Cited by
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 31, 2018
2332018
N-gram graph: Simple unsupervised representation for graphs, with applications to molecules
S Liu, MF Demirel, Y Liang
Advances in neural information processing systems 32, 2019
722019
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, 3668-3679, 2020
562020
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 59 (10), 4438-4449, 2019
492019
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
S Liu, Y Liang, A Gitter
https://aaai.org/ojs/index.php/AAAI/article/view/5125, 2019
492019
Bad global minima exist and sgd can reach them
S Liu, D Papailiopoulos, D Achlioptas
Advances in Neural Information Processing Systems 33, 8543-8552, 2020
402020
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 59 (1), 282-293, 2018
392018
Pre-training molecular graph representation with 3d geometry
S Liu, H Wang, W Liu, J Lasenby, H Guo, J Tang
arXiv preprint arXiv:2110.07728, 2021
262021
Neural sentence ordering based on constraint graphs
Y Zhu, K Zhou, JY Nie, S Liu, Z Dou
Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14656 …, 2021
102021
EXPLORATION ON DEEP DRUG DISCOVERY: REPRESENTATION AND LEARNING
S Liu
Thesis, University of Wisconsin-Madison, 2018
102018
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
52022
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
42022
An analysis of attentive walk-aggregating graph neural networks
MF Demirel, S Liu, S Garg, Y Liang
arXiv preprint arXiv:2110.02667, 2021
42021
Evaluating self-supervised learning for molecular graph embeddings
H Wang, J Kaddour, S Liu, J Tang, M Kusner, J Lasenby, Q Liu
arXiv preprint arXiv:2206.08005, 2022
22022
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, 8906-8920, 2022
2*2022
ChemSpacE: Toward Steerable and Interpretable Chemical Space Exploration
Y Du, X Liu, S Liu, J Zhang, B Zhou
ICLR2022 Machine Learning for Drug Discovery, 2022
2*2022
Evaluating scalable supervised learning for synthesize-on-demand chemical libraries
M Alnammi, S Liu, SS Ericksen, GE Ananiev, AF Voter, S Guo, JL Keck, ...
22021
Structured Multi-View Representations for Drug Combinations
S Liu, A Deac, Z Zhu, J Tang
NeurIPS 2020 ML for Molecules Workshop, 2020
22020
BERT4so: Neural sentence ordering by fine-tuning BERT
Y Zhu, JY Nie, K Zhou, S Liu, Y Ling, P Du
arXiv preprint arXiv:2103.13584, 2021
12021
Molecular Geometry Pretraining with SE (3)-Invariant Denoising Distance Matching
S Liu, H Guo, J Tang
arXiv preprint arXiv:2206.13602, 2022
2022
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