daibiaoxuwu
Student at Tsinghua university. Main research interests are AI and Internet of Things. Currently working on LoRa.
Tsinghua UniversityTsinghua, Beijing, China
Pinned Repositories
baseline-dechirp
BLoc
daibiaoxuwu.github.io
maj3cpk
nelora-lite
NELoRa-Sensys-Eco
Usability improvement on NELoRa-Sensys from [SenSys 2021] "NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation" by Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, Yunhao Liu
NeLoRa_Dataset
This folder provides the neural-based LoRa demodulation code for our ICLR 2023 workshop paper: NELORA-BENCH: A BENCHMARK FOR NEURAL ENHANCED LORA DEMODULATION
umami-mrnn-flask-heroku
A simple, fast and easy-to-deploy Heroku ready flask web app template written in Python.
Umami-MRNN-train
umamiMRNN_datasets
daibiaoxuwu's Repositories
daibiaoxuwu/NeLoRa_Dataset
This folder provides the neural-based LoRa demodulation code for our ICLR 2023 workshop paper: NELORA-BENCH: A BENCHMARK FOR NEURAL ENHANCED LORA DEMODULATION
daibiaoxuwu/umami-mrnn-flask-heroku
A simple, fast and easy-to-deploy Heroku ready flask web app template written in Python.
daibiaoxuwu/umamiMRNN_datasets
daibiaoxuwu/BLoc
daibiaoxuwu/daibiaoxuwu.github.io
daibiaoxuwu/maj3cpk
daibiaoxuwu/nelora-lite
daibiaoxuwu/NELoRa-Sensys-Eco
Usability improvement on NELoRa-Sensys from [SenSys 2021] "NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation" by Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, Yunhao Liu
daibiaoxuwu/Umami-MRNN-train
daibiaoxuwu/baseline-dechirp
daibiaoxuwu/AOA
daibiaoxuwu/deepchem
daibiaoxuwu/empty
daibiaoxuwu/flask-hello-world-master
daibiaoxuwu/indoorlocation
daibiaoxuwu/lora-node-hardware
daibiaoxuwu/majscript
daibiaoxuwu/newcyvasse
daibiaoxuwu/NineEve_ResearchPlatform
daibiaoxuwu/os_course_exercises
Exercises for OS course
daibiaoxuwu/piecesVOX
daibiaoxuwu/PM3
daibiaoxuwu/ppm
daibiaoxuwu/ucore_os_lab
os kernel labs for operating systems course in Tsinghua University.