CGCL-codes

CGCL-codes

Organization data from Github https://github.com/CGCL-codes

CGCL/SCTS/BDTS Lab

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

GitHub:@CGCL-codes

CGCL-codes's repositories

naturalcc

NaturalCC: An Open-Source Toolkit for Code Intelligence

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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).

VulLLM

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

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gECC

gECC: A GPU-based high-throughput framework for Elliptic Curve Cryptography

Language:C++License:MITStargazers:33Issues:2Issues:2

GraphInstruct

The benchmark proposed in paper: GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability

HistFuzz

A practical fuzzing tool for SMT solvers

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MalPacDetector-core

The source code of MalPacDetector for npm.

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NumbOD

The implementation of our AAAI 2025 paper "NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors"

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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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OHMiner

Open-source release for OHMiner(EuroSys'25)

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HDTX

Open-source release for HDTX (ATC'25)

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SeerEVM

The implementation of our VLDB 2025 paper "Seer: Accelerating Blockchain Transaction Execution by Fine-Grained Branch Prediction"

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SharDAG

Source code for [ICDE'24] SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding

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ipotane

Implement the accepted paper [NDSS'26] Ipotane in Rust

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CANs

Losing the Beat: Understanding and Mitigating Desynchronization Risks in Container Isolation, NDSS 2026

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MP-SpMM_SC25

Bridging the Gap between Unstructured SpMM and Structured Sparse Tensor Cores

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PlainDAG

Implementation of the accepted paper PlainDAG.

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pod-migration

pod-migration

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SimLLM

Code base for "Sim-LLM: Efficient Inference Optimization Based on Task Similarity for Large Language Models in Edge"

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