Fetching AOE time...
Contact me:

邝炜瑞, Weirui Kuang

Profile Picture

@ALIBABA GROUP @TONGYI LAB

About Me

Welcome to my homepage! I am a researcher at Tongyi Lab, Alibaba Group. I received a B.S. degree in Applied Mathematics and M.E. degree in Computer Applications Technology from Renmin University of China in 2018 and 2021, respectively. My research interests include graph representation learning, federated learning, and LLMs. I have published several papers in ICML, KDD, NeurIPS, VLDB, and AAAI and served as the reviewer for top-tier conferences such as ICLR, KDD, NeurIPS, ICML, and WWW. And I'm one of the main developers of the open-source project FederatedScope and am passionate about contributing to open-source projects related to my research interest.

Experience

Alibaba Tongyi Lab

Senior Machine Learning Engineer • June 2021 — Present

  • Multi-Agent System (2024): AgentScope
  • Federated Learning for LLM (2023): FederatedScope-LLM
  • AutoML (2022): FedHPO-Bench
  • Graph Representation Learning (2021)

Alibaba DAMO Academy

Research Intern • April 2021 — June 2021

  • Graph Representation Learning: KDD Cup 2021 OGB-LSC 9th Place

Alibaba Cloud

Research Intern • March 2020 — March 2021

  • Block Storage Cardinality Estimation

Education

Renmin University of China

Postgraduate in School of Information • 2018 — 2021

Major in Computer Science and Technology, Graph Learning

Advisor: Zhewei Wei

Renmin University of China

B.S. in School of Information • 2014 — 2018

Major in Mathematics and Applied Mathematics

Publications

Authors marked with * are co-first authors.
Authors marked with † have equal contributions listed in alphabetical order.

2024

  • KDD 2024 - Weirui Kuang*, Bingchen Qian*, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding and Jingren Zhou. “FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning”
  • TKDE 2024 - Weirui Kuang*, Zhen Wang*, Yaliang Li, Zhewei Wei and Bolin Ding. “Coarformer: Transformer for large graph via graph coarsening”

2023

  • ICML 2023 - Zhen Wang*, Weirui Kuang*, Ce Zhang, Bolin Ding, Yaliang Li. “FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization”
  • VLDB 2023 - Xie, Yuexiang*, Zhen Wang*, Dawei Gao, Daoyuan Chen†, Liuyi Yao†, Weirui Kuang†, Yaliang Li, Bolin Ding and Jingren Zhou. “FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing”

2022

  • NeurIPS 2022 - Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding. “pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning”
  • KDD 2022, ADS Best Paper - Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou. “FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning”
  • KDD 2022 - Zhen Wang, Yaliang Li, Zhewei Wei, Weirui Kuang, Bolin Ding. “Graph Neural Networks with Nodewise Architecture”

News

2024

  • May 17th: Congratulations! My co-first-authored paper “FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning” has been accepted by KDD!!!
  • April 27th: Drag-and-drop multi-agent development platform AgentScope WorkStation is now online!
  • April 10th: Congratulations! My co-first-authored paper “Coarformer: Transformer for large graph via graph coarsening” has been accepted by TKDE!!!

2023

  • April 25th: Congratulations! My co-first-authored paper “FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization” has been accepted by ICML!!!
  • April 20th: A new personal homepage is built.

2022

  • August 18th: FS-GNN wins the Best Paper Award on [KDD 2022 ADS Track]!!!
  • May 19th: Congratulations! “FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning” has been accepted by KDD!!!
  • March 30th: FederatedScope is open source now! Try at try.federatedscope.io!