Tianfan Fu

Orcid: 0000-0002-5574-2541

According to our database¹, Tianfan Fu authored at least 59 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Machine learning-aided generative molecular design.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2024

Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation.

[BibT_eX]

[DOI]

CoRR, 2024

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning.

[BibT_eX]

[DOI]

Jiaqing Xie

Yue Zhao

Tianfan Fu

CoRR, 2024

Protein-Mamba: Biological Mamba Models for Protein Function Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum-machine-assisted Drug Discovery: Survey and Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

DrugAgent: Explainable Drug Repurposing Agent with Large Language Model-based Reasoning.

[BibT_eX]

[DOI]

Yoshitaka Inoue

Tianci Song

Tianfan Fu

CoRR, 2024

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba.

[BibT_eX]

[DOI]

CoRR, 2024

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.

[BibT_eX]

[DOI]

CoRR, 2024

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?

[BibT_eX]

[DOI]

CoRR, 2024

drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network.

[BibT_eX]

[DOI]

CoRR, 2024

Language Interaction Network for Clinical Trial Approval Estimation.

[BibT_eX]

[DOI]

Chufan Gao

Tianfan Fu

Jimeng Sun

CoRR, 2024

CT-Agent: Clinical Trial Multi-Agent with Large Language Model-based Reasoning.

[BibT_eX]

[DOI]

Ling Yue

Tianfan Fu

CoRR, 2024

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal Clinical Trial Outcome Prediction with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Adversarial Diffusion Convolution.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Scientific discovery in the age of artificial intelligence.

[BibT_eX]

[DOI]

Nat., 2023

Stoichiometry Representation Learning with Polymorphic Crystal Structures.

[BibT_eX]

[DOI]

CoRR, 2023

Molecular De Novo Design through Transformer-based Reinforcement Learning.

[BibT_eX]

[DOI]

Tao Feng

Pengcheng Xu

Tianfan Fu

Siddhartha Laghuvarapu

Jimeng Sun

CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

[BibT_eX]

[DOI]

Aria Mansouri Tehrani

Kamyar Azizzadenesheli

CoRR, 2023

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.

[BibT_eX]

[DOI]

CoRR, 2023

2022

MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

HINT: Hierarchical interaction network for clinical-trial-outcome predictions.

[BibT_eX]

[DOI]

Patterns, 2022

MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design.

[BibT_eX]

[DOI]

CoRR, 2022

Reinforced Genetic Algorithm for Structure-based Drug Design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model.

[BibT_eX]

[DOI]

Tianfan Fu

Jimeng Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

SIPF: Sampling Method for Inverse Protein Folding.

[BibT_eX]

[DOI]

Tianfan Fu

Jimeng Sun

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Differentiable Scaffolding Tree for Molecule Optimization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Differentiable Scaffolding Tree for Molecular Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.

[BibT_eX]

[DOI]

CoRR, 2021

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.

[BibT_eX]

[DOI]

CoRR, 2021

DeepPurpose: a deep learning library for drug-target interaction prediction.

[BibT_eX]

[DOI]

Bioinform., 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SPEAR: self-supervised post-training enhancer for molecule optimization.

[BibT_eX]

[DOI]

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.

[BibT_eX]

[DOI]

CoRR, 2020

α-MOP: Molecule optimization with α-divergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.

[BibT_eX]

[DOI]

Tianfan Fu

Cao Xiao

Jimeng Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DDL: Deep Dictionary Learning for Predictive Phenotyping.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PEARL: Prototype Learning via Rule Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Continuous Word Embedding Fusion via Spectral Decomposition.

[BibT_eX]

[DOI]

Tianfan Fu

Cheng Zhang

Stephan Mandt

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017

CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC.

[BibT_eX]

[DOI]

Tianfan Fu

Zhihua Zhang

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Feature sparsity analysis for i-vector based speaker verification.

[BibT_eX]

[DOI]

Speech Commun., 2016

Quasi-Newton Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Tianfan Fu

Luo Luo

Zhihua Zhang

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

Deep feature for text-dependent speaker verification.

[BibT_eX]

[DOI]

Speech Commun., 2015

An improved i-vector extraction algorithm for speaker verification.

[BibT_eX]

[DOI]

Wei Li

Tianfan Fu

Jie Zhu

EURASIP J. Audio Speech Music. Process., 2015

Sparsity Analysis and Compensation for i-Vector Based Speaker Verification.

[BibT_eX]

[DOI]

Proceedings of the Speech and Computer - 17th International Conference, 2015

2014

Tandem deep features for text-dependent speaker verification.

[BibT_eX]

[DOI]

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Speaker verification with deep features.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Stochastic data sweeping for fast DNN training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Tianfan Fu

Timeline

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On csauthors.net:

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