Fangping Wan
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  • Publications
    • Generative latent diffusion language modeling yields anti-infective synthetic peptides
    • Deep learning reveals antibiotics in the archaeal proteome
    • Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
    • Predicting and generating antibiotics against future pathogens with ApexOracle
    • Large Scale Multi-Task Bayesian Optimization with Large Language Models
    • Antiviral discovery using sparse datasets by integrating experiments, molecular simulations, and machine learning
    • Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery
    • Improving functional protein generation via foundation model-derived latent space likelihood optimization
    • Design of multimodal antibiotics against intracellular infections using deep learning
    • A generative artificial intelligence approach for antibiotic optimization
    • Analyzing Large-Scale Single-Cell RNA-Seq Data Using Coreset
    • Deep-learning-enabled antibiotic discovery through molecular de-extinction
    • Machine Learning for Antimicrobial Peptide Identification and Design
    • Deep learning tools to accelerate antibiotic discovery
    • Improving molecular property prediction through a task similarity enhanced transfer learning strategy
    • Deep generative models for peptide design
    • A community challenge for a pancancer drug mechanism of action inference from perturbational profile data
    • A deep-learning framework for multi-level peptide-protein interaction prediction
    • Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
    • Crowdsourced mapping of unexplored target space of kinase inhibitors
    • An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19
    • A novel machine learning based framework for modeling transcription elongation
    • MoTSE: an interpretable task similarity estimator for small molecular property prediction tasks
    • A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories
    • Secure multiparty computation for privacy-preserving drug discovery
    • MONN: A Multi-objective Neural Network for Predicting Compound-Protein Interactions and Anities
    • EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction
    • ACME: pan-specific peptide-MHC class I binding prediction through attention-based deep neural networks
    • DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening
    • NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
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  • Experience

PyTorch

Oct 26, 2023 · 1 min read
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PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

Last updated on Oct 26, 2023
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Fangping Wan<br>(万 方平)
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Fangping Wan<br>(万 方平) (he/him)
Computational Scientist
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