עקוב אחר
Shengchao Liu
Shengchao Liu
UC Berkeley
כתובת אימייל מאומתת בדומיין berkeley.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
4192018
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
3932021
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
2292019
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
1682020
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 5 (12), 1447-1457, 2023‏
1602023
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning‏
S Liu, Y Liang, A Gitter‏
AAAI-SA 2019, 2019‏
1602019
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
1062019
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
1012020
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
912022
Molecular Geometry Pretraining with SE(3)-invariant Denoising Distance Matching‏
S Liu, H Guo, J Tang‏
International Conference on Learning Representations (ICLR) 2023, 2022‏
852022
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
852022
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
762018
Gimlet: A unified graph-text model for instruction-based molecule zero-shot learning‏
H Zhao, S Liu, M Chang, H Xu, J Fu, Z Deng, L Kong, Q Liu‏
Advances in Neural Information Processing Systems 36, 2024‏
662024
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
642023
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
56*2023
Shaping the water-harvesting behavior of metal–organic frameworks aided by fine-tuned GPT models‏
Z Zheng, AH Alawadhi, S Chheda, SE Neumann, N Rampal, S Liu, ...‏
Journal of the American Chemical Society 145 (51), 28284-28295, 2023‏
552023
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
39*2022
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
362023
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
282023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials‏
S Liu, W Du, Y Li, Z Li, Z Zheng, C Duan, Z Ma, O Yaghi, A Anandkumar, ...‏
Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023‏
262023
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מאמרים 1–20