HaokunChen245
PhD student at University of Munich (LMU) in Germany. Researcher at Siemens.
Siemens AGMunich, Germany
Pinned Repositories
BlackVIP
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
CLVQA
[AAAI2023] Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task (Oral)
DFDG
[ACML 2022] Towards Data-Free Knowledge Distillation
FedDAT
[AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
FedPCL
[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
FedPop
FedPop: Federated Population-based Hyperparameter Tuning
FRAug
[ICCV 2023] FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
haokunchen245.github.io
Personal Website
NOTE
The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"
HaokunChen245's Repositories
HaokunChen245/FedDAT
[AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
HaokunChen245/DFDG
[ACML 2022] Towards Data-Free Knowledge Distillation
HaokunChen245/FRAug
[ICCV 2023] FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
HaokunChen245/CLVQA
[AAAI2023] Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task (Oral)
HaokunChen245/Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
HaokunChen245/FedPCL
[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
HaokunChen245/FedPop
FedPop: Federated Population-based Hyperparameter Tuning
HaokunChen245/haokunchen245.github.io
Personal Website
HaokunChen245/NOTE
The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"