Zhumer's repositories
mall-swarm
mall-swarm是一套微服务商城系统，采用了 Spring Cloud 2021 & Alibaba、Spring Boot 2.7、Oauth2、MyBatis、Docker、Elasticsearch、Kubernetes等核心技术，同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。文档齐全，附带全套Spring Cloud教程。
Security-in-Recommendation-System
Paper collection for recommendation system
auto_reply
我不是那种回复消息非常及时的人，但是深知人际关系的维护中，在现代社会中非常重要，尤其是消息的回复，所以我写了一个消息自动回复的脚本来帮助自己回复消息
Mirror-Gradient
Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.
Zhumer.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
zhengzhw2023
Config files for my GitHub profile.
ARLib
An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.
Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
ShillingAttackReadingList
Paper Reading list for Shilling Attack and Defense on Recommender Systems
QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Financial_Computing_Project
code about financial computing
Big_data_computing
this is code about processing data2
polyu
PolyU Msc in IT
SUI-Attack
Source Code for CIKM'23 paper "Single-User Injection for Invisible Shilling Attack against Recommender Systems".
resume-template
:page_facing_up::briefcase::tophat: A simple Jekyll + GitHub Pages powered resume template.
Recommender-System
推荐系统综述
PC-Attack
Source code for AAAI'23 paper "Practical Cross-System Shilling Attacks with Limited Access to Data".
SDLib
A Python library used to collect shilling detection methods and generate simulated attackers. (for academic use)
ShillingAttack
This repository contains our implementations for Shilling Attacks against Recommender Systems.
Sequential-Recommender-System-Papers
This is a repo containing recent papers related to temporal (sequential) recommender system
intl-iot
Datasets and code for IMC'19 paper on information exposure from IoT devices
ma1521-cheatsheet
Amazing Cheatsheet