xumengwei
Assistant Professor @ BUPT - Check out the projects of our team at: https://github.com/UbiquitousLearning and https://github.com/BUPT-OS
xumengwei's Stars
ept/ddia-references
Literature references for “Designing Data-Intensive Applications”
iqiyi/xHook
🔥 A PLT hook library for Android native ELF.
Ruzim/NSFC-application-template-latex
国家自然科学基金申请书正文(面上项目)LaTeX 模板(非官方)
UbiquitousLearning/mllm
Fast Multimodal LLM on Mobile Devices
BUPT-OS/RROS
RROS is a dual-kernel OS for satellites or other scenarios that need both real-time and general-purpose abilities. RROS = RTOS (Rust) + Linux (C).
MobileLLM/Personal_LLM_Agents_Survey
Paper list for Personal LLM Agents
UbiquitousLearning/Efficient_Foundation_Model_Survey
Survey Paper List - Efficient LLM and Foundation Models
xumengwei/Edge-AI-Paper-List
ftramer/slalom
Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
UbiquitousLearning/Paper-list-resource-efficient-large-language-model
tanjuntao/VFL_paper_list
vertical federated learning paper lists
UbiquitousLearning/End2end-Federated-Learning
A demo of end-to-end federated learning system.
yeriomin/token-dispenser
Stores email-password pairs, gives out Google Play Store tokens
LlamaTouch/LlamaTouch
LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation
PKU-Chengxu/FLASH
xumengwei/EdgeWorkloadsTraces
UbiquitousLearning/FedAdapter
"Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.
UbiquitousLearning/FwdLLM
qipengwang/Melon
MobiSys#114
fxlin/os-course
A fun OS course
UbiquitousLearning/Benchmark-On-Device-Training
Our unique contributions are in tools/train/benchmark.
UbiquitousLearning/Mandheling-DSP-Training
The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]
UbiquitousLearning/MobileDLFrameworksBenchmark
UbiquitousLearning/FeS
Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.
UbiquitousLearning/NNV12
UbiquitousLearning/LanFL
fxlin/diva-demo
demo for diva
qingyunqu/ncnn_optee
Port ncnn to optee os, run the inference code on ARM TrustZone environment
UbiquitousLearning/Edge-AI-Paper-List
UbiquitousLearning/FLScheduler