Pavel Chen's Projects
List of CGM datasets
A comprehesive survey about foundation models for weather and cliamte data understanding.
Awesome Machine Unlearning (A Survey of Machine Unlearning)
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive sup- port for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.
An easy-to-use federated learning platform
Official implement for IJCAI'24 paper ''Federated Prompt Learning for Weather Foundation Models on Devices''.
A list of Medical imaging datasets.
Medical NLP Competition, dataset, large models, paper 医疗NLP领域 比赛,数据集,大模型,论文,工具包
[IJCAI'23] Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.
Code for 'Multi-level Logit Distillation' (CVPR2023)
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Personalized federated learning simulation platform with non-IID and unbalanced dataset
The official implementation of the paper ProteinInvBench: Benchmarking Protein Design on Diverse Tasks, Models, and Metrics
IJCAI-Personalized Federated Learning with Graph
AcadHomepage: A Modern and Responsive Academic Personal Homepage
A Library for Advanced Deep Time Series Models.
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model