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, Z Charles, S Liu, S Wright, D Papailiopoulos
arXiv preprint arXiv:1806.04090, 2018
1592018
N-gram graph: Simple unsupervised representation for graphs, with applications to molecules
S Liu, MF Demirel, Y Liang
arXiv preprint arXiv:1806.09206, 2018
39*2018
Bad global minima exist and sgd can reach them
S Liu, D Papailiopoulos, D Achlioptas
arXiv preprint arXiv:1906.02613, 2019
292019
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
292018
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
272019
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
262020
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
162019
Neural Sentence Ordering Based on Constraint Graphs
Y Zhu, K Zhou, JY Nie, S Liu, Z Dou
arXiv preprint arXiv:2101.11178, 2021
62021
EXPLORATION ON DEEP DRUG DISCOVERY: REPRESENTATION AND LEARNING
S Liu
Thesis, University of Wisconsin-Madison, 2018
62018
An Analysis of Attentive Walk-Aggregating Graph Neural Networks
MF Demirel, S Liu, S Garg, Y Liang
arXiv preprint arXiv:2110.02667, 2021
2021
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
2021
Structured Multi-View Representations for Drug Combinations
S Liu, A Deac, Z Zhu, J Tang
Machine Learning for Molecules Workshop, NeurIPS 2020, 2020
2020
PRE-TRAINING MOLECULAR GRAPH REPRESENTATION WITH 3D GEOMETRY
S Liu, H Wang, W Liu, J Lasenby, H Guo, J Tang
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Articles 1–13