cgcl-codes Goto Github PK
Type: Organization
Bio: CGCL/SCTS/BDTS Lab
Blog: http://grid.hust.edu.cn/
Type: Organization
Bio: CGCL/SCTS/BDTS Lab
Blog: http://grid.hust.edu.cn/
In virtualized data centers, the access of virtual disk images (VDIs) is critical for the overall system performance. As the system scales up to a large number of running VMs, the overall network traffic would become unbalanced with hot spots on some VMs inevitably, leading to I/O performance degradation when accessing the VMs. We propose an adaptive and collaborative VDI storage system (ACStor) to resolve the above performance issue, which can dynamically balance the traffic workloads in accessing VDI chunks based on the run-time network state.
The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning"
The implementation of our ICCV 2023 paper "Downstream-agnostic Adversarial Examples"
The official implementation of our ACM MM 2021 paper "AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch".
Detecting Semantic Code Clones by Building AST-based Markov Chains Model
The official implementation of our CVPR 2022 paper "Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer".
Method on running Linux containers (Docker) on the android platform. Migrate container from X86-Based ubuntu to ARM-Based android.
AndroidX is a customizable execution runtime environment for running Android applications on clouds
This repo based on Pul and graph learning which can help detect arbitrary addresses
Ares is a high performance and fault tolerant distributed stream processing system, which considers both both system performance and fault tolerant capability during task allocation and use a game-theoretic approach to obtain an optimal scheduler for task allocation. Ares greatly outperforms Storm in terms of system throughput and the average processing latency.
Argus is a novel RDMA-assisted job scheduler which achieves high resource utilization by fully exploiting the structure feature of stage dependency. Comprehensive experiments using large-scale traces collected from real world show that Argus reduces job completion time and job makespan by 21% and 20%, respectively, compared to RDMA-Spark.
The dataset, source code and the results of our ESEC/FSE 2023 paper "An Extensive Study on Adversarial Attack against Pre-trained Models of Code".
Auxo is a scalable and efficient framework for graph stream summarization
The official implementation of BadHash
Better Choice Cuckoo Filter (BCF) is an efficient approximate set representation data structure. Different from the standard Cuckoo Filter (CF), BCF leverages the principle of the power of two choices to select the better candidate bucket during insertion. BCF reduces the average number of relocations of the state-of-the-art CF by 35%.
Homepage for bcts research group
Fast algorithm for enumerating maximal cliques in real-world graphs.
A blockchain network simulator, which can be used for blockchain network protocol verification.
The implementation of ACM MM 2022 paper "ChartStamp: Robust Chart Encoding for Real-World Applications".
The labeled news data about coronavirus pneumonia.
Implementation for NeurIPS 2023 paper: Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Dynamic Cuckoo Filter (DCF) is succinct data structure of approximate set representing and membership testing for large-scale dynamic data sets. DCF supports item insertion/deletion/query, and can flexibly adjust its capacity. A DCF reduces the memory space of the state-of-the-art Dynamic Bloom Filter significantly by 75% as well as greatly improving the speeds of insert/query/delete operation by 30% to 80%.
DGraph is a system for directed graph processing with taking advantage of the strongly connected component structure. On this system, most graph partitions are able to reach convergence in order and need to be loaded into the main memory for exactly once, getting much lower data access cost and faster convergence.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.