王桢
研究领域
图挖掘与图学习、联邦学习、强化学习的应用等
教育背景
- 2008-2012 中山大学 软件学院 （工学学士）
- 2012-2017 中山大学（与MSRA联合培养） 计算机学院 （工学博士）
工作经历
- 2017-2023 阿里巴巴（中国）有限公司
- 2023-present 中山大学
获奖及荣誉
- KDD 2022 ADS Track Best Paper Award, Aug. 2022
- Silver Medal in ACM/ICPC Asia Regional Contest, Oct. 2011
代表性论著
- Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li. FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML 2023.
- 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. (KDD'22 ADS Track Best Paper)
- Zhen Wang, Yaliang Li, Zhewei Wei, Weirui Kuang, Bolin Ding. Graph Neural Networks with Node-wise Architecture. KDD 2022.
- Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph and Text Jointly Embedding. EMNLP 2014. (Citation > 400)
- Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph Embedding by Translating on Hyperplanes. AAAI 2014. (Citation > 3200)