CGCL-codes

CGCL-codes

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CGCL/SCTS/BDTS Lab

Home Page:http://grid.hust.edu.cn/

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CGCL-codes's repositories

YiTu

YiTu is an easy-to-use runtime to fully exploit the hybrid parallelism of different hardwares (e.g., GPU) to efficiently support the execution of various kinds of graph algorithms (e.g., GNNs).

naturalcc

NaturalCC: An Open-Source Toolkit for Code Intelligence

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RETIA

Released codes of the RETIA model.

TransferAttackSurrogates

The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.

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DHUNET

Released code of the DHU-NET model published in ICDM2022.

SubInfer

the source code and supplementary materials of paper "An Efficient Subgraph-inferring Framework for Large-scale Heterogeneous Graphs"

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VulLLM

An implementation of the ACL 2024 Findings paper "Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning".

Gen-AF

The implementation of our IEEE S&P 2024 paper "Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples".

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MorphDAG-prototype

Released code of the MorphDAG prototype (version 1.0)

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FuncStore

The code of our MSST'24 paper "FuncStore: Resource Efficient Ephemeral Storage for Serverless Data Sharing"

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MorphStreamR

Create this fork for Fault Tolerance

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ECLIPSE

This is the official code for the ESORICS 2024 paper "ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification"

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FIRE

FIRE: Combining Multi-Stage Filtering with Taint Analysis for Scalable Recurring Vulnerability Detection.

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ITSR

An implementation of the SIGKDD 2024 paper--Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification.

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MorphDAG

The implementation of our TKDE'24 paper "MorphDAG: A Workload-Aware Elastic DAG-based blockchain"

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Toma

Machine Learning is All You Need: A Simple Token-based Approach for Effective Code Clone Detection

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EHGNN

An implementation for the paper--Efficient Learning for Billion-scale Heterogeneous Information Networks.

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MemHub

MemHub: A Memory Management System for Deep Learning with Limited Memory Resources

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resegnn

Implementation of Recurrent Semantic Evidence-aware Graph Neural Network.

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TIGA

TIGA: Towards Efficient Near Data Processing in SmartNICs-based Disaggregated Memory Systems

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Wahoo

Implement the accepted paper [TIFS'24] Wahoo in Golang

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