Tianfan Fu
Tianfan Fu
Потвърден имейл адрес: rpi.edu - Начална страница
Scientific discovery in the age of artificial intelligence
H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ...
Nature 620 (7972), 47-60, 2023
DeepPurpose: a deep learning library for drug–target interaction prediction
K Huang, T Fu, LM Glass, M Zitnik, C Xiao, J Sun
Bioinformatics 36 (22-23), 5545-5547, 2020
Therapeutics data Commons: machine learning datasets and tasks for therapeutics
K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ...
NeurIPS Datasets and Benchmarks, 2021
Deep feature for text-dependent speaker verification
Y Liu, Y Qian, N Chen, T Fu, Y Zhang, K Yu
Speech Communication 73, 1-13, 2015
Artificial intelligence foundation for therapeutic science
K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ...
Nature Chemical Biology, 2022
Sample efficiency matters: a benchmark for practical molecular optimization
W Gao, T Fu, J Sun, C Coley
Advances in Neural Information Processing Systems 35, 21342-21357, 2022
Machine learning for synthetic data generation: a review
Y Lu, M Shen, H Wang, X Wang, C van Rechem, T Fu, W Wei
arXiv preprint arXiv:2302.04062, 2024
MIMOSA: Multi-constraint molecule sampling for molecule optimization
T Fu, C Xiao, X Li, LM Glass, J Sun
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 125-133, 2021
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
CORE: Automatic molecule optimization using copy & refine strategy
T Fu, C Xiao, J Sun
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 638-645, 2020
Differentiable scaffolding tree for molecular optimization
T Fu, W Gao, C Xiao, J Yasonik, CW Coley, J Sun
The International Conference on Learning Representations (ICLR), 2022
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...
arXiv preprint arXiv:2307.08423, 2023
Speaker verification with deep features.
Y Liu, T Fu, Y Fan, Y Qian, K Yu
IJCNN, 747-753, 2014
Tandem deep features for text-dependent speaker verification
T Fu, Y Qian, Y Liu, K Yu
Fifteenth Annual Conference of the International Speech Communication …, 2014
Reinforced genetic algorithm for structure-based drug design
T Fu, W Gao, C Coley, J Sun
Advances in Neural Information Processing Systems 35, 12325-12338, 2022
Hint: Hierarchical interaction network for clinical-trial-outcome predictions
T Fu, K Huang, C Xiao, LM Glass, J Sun
Patterns 3 (4), 2022
DDL: deep dictionary learning for predictive phenotyping
T Fu, TN Hoang, C Xiao, J Sun
Proceedings of the 28th International Joint Conference on Artificial …, 2019
An improved i-vector extraction algorithm for speaker verification
W Li, T Fu, J Zhu
EURASIP Journal on Audio, Speech, and Music Processing 2015 (1), 18, 2015
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery
T Fu, C Xiao, C Qian, LM Glass, J Sun
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC
T Fu, Z Zhang
Artificial Intelligence and Statistics, 841-850, 2017
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