Scholar
Weirui Kuang
Google Scholar ID: 51p3plEAAAAJ
Alibaba Group
Citations & Impact
Citations
704
H-index
10
i10-index
11
Publications
19
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top-tier venues including ICML, KDD, NeurIPS, VLDB, AAAI, and TKDE
- 2024: KDD paper 'FederatedScope-LLM' (co-first author)
- 2024: TKDE paper 'When Transformer Meets Large Graphs' (co-first author)
- 2024: TKDE paper 'Is Sharing Neighbor Generator in Federated Graph Learning Safe?'
- 2023: ICML paper 'FedHPO-Bench' (co-first author)
- 2023: VLDB paper 'FederatedScope' (equal contribution)
- 2022: NeurIPS paper 'pFL-Bench'
- 2022: KDD paper 'FederatedScope-GNN' (ADS Best Paper Award)
- 2022: KDD paper 'Graph Neural Networks with Nodewise Architecture'
Research Experience
- Senior Machine Learning Engineer, Alibaba Tongyi Lab (June 2021–Present)
- 2024: Multi-Agent System (AgentScope, Tongyi App)
- 2023: Federated Learning for LLMs (FederatedScope-LLM)
- 2022: AutoML (FedHPO-Bench)
- 2021: Graph Representation Learning
- Research Intern, Alibaba DAMO Academy (April 2021–June 2021); worked on graph representation learning (9th place in KDD Cup 2021 OGB-LSC)
- Research Intern, Alibaba Cloud (March 2020–March 2021); worked on block storage cardinality estimation
Background
- Researcher at Tongyi Lab, Alibaba Group
- Research interests include graph representation learning, federated learning, and large language models (LLMs)
- Served as reviewer for top-tier conferences such as ICLR, KDD, NeurIPS, ICML, and WWW
- One of the main developers of open-source projects AgentScope and FederatedScope
- Passionate about contributing to open-source projects aligned with research interests
- Team provides algorithm support for the Tongyi App
