Weirui Kuang

According to our database, Weirui Kuang authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AgentScope: A Flexible yet Robust Multi-Agent Platform.

Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

2023

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.

Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2023

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

2022

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

CoRR, 2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.

Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2022

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning.

Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Networks with Node-wise Architecture.

Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.

Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022