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Name: Zihan Liu

Type: User

Company: Cornell University

Bio: Zihan is an incoming postdoctoral researcher at Cornell University. Before, he obtained his PhD degree from Zhejiang University.

Blog: [email protected]

Zihan Liu's Projects

atkse--cikm22

The pytorch implementation for paper 'Are Gradients on Graph Structure Reliable in Gray-box Attacks?'

dl_for_peptide

We provide a peptide self-assembly dataset in this project. On this dataset, we provide graph- and sequence-based deep learning methods for peptides as a tool library.

grad--neurips22

PyTorch Implementation for NeurIPS 2022 paper 'Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias'

pdmp-pep-selfassembly

TRN trained models of AP values of penta-, deca-, and mixed pentapeptides

personal_profile

Welcome to Zihan's Homepage

repcon

Implementation for paper Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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