fanxlxmu
Please refer to my new repository. https://xiaoliangfan.github.io
Xiamen Univeristy, CNXiamen, Fujian, China
Pinned Repositories
awesome-fair-federated-learning
Paper collection about fairness-aware federated learning
DeepSTD
DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
easyFL
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
FedPFT
This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".
GMAN
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
INCREASE
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
MGFN
MGFN: Multi-Graph Fusion Networks for Urban Region Embedding (MGFN, https://arxiv.org/pdf/2201.09760.pdf) was accepted by IJCAI-2022.
ncov_with_mobility
The code and data for "Predicting the spread of COVID-19 in China with human mobility data"
RDC-GVFL
RDC-GVFL: A Robust Detection and Correction Framework for GNN-based Vertical Federated Learning was accepted by PRCV 2023 Conference.
STPC-Net
STPC-Net: Learn Massive Geo-sensory Data as Spatio-Temporal Point Clouds
fanxlxmu's Repositories
fanxlxmu/fanxlxmu.github.io
Dr. Xiaoliang Fan's lab@Xiamen University
fanxlxmu/awesome-fair-federated-learning
Paper collection about fairness-aware federated learning
fanxlxmu/DeepSTD
DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction
fanxlxmu/easyFL
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
fanxlxmu/FedPFT
This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".
fanxlxmu/GMAN
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
fanxlxmu/INCREASE
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
fanxlxmu/MGFN
MGFN: Multi-Graph Fusion Networks for Urban Region Embedding (MGFN, https://arxiv.org/pdf/2201.09760.pdf) was accepted by IJCAI-2022.
fanxlxmu/ncov_with_mobility
The code and data for "Predicting the spread of COVID-19 in China with human mobility data"
fanxlxmu/RDC-GVFL
RDC-GVFL: A Robust Detection and Correction Framework for GNN-based Vertical Federated Learning was accepted by PRCV 2023 Conference.
fanxlxmu/STPC-Net
STPC-Net: Learn Massive Geo-sensory Data as Spatio-Temporal Point Clouds
fanxlxmu/webglore
Automatically exported from code.google.com/p/webglore
fanxlxmu/xiaoliangfan