Dawei Gao

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Algorithm Engineer

Data Analytics and Intelligence Lab
Alibaba DAMO Academy

Jinhui Building, Beijing, China
gaodawei.gdw@alibaba-inc.com

About me

Dawei Gao is currently a staff in the Data Analytics and Intelligence Lab (DAIL) at Alibaba DAMO Academy. He receives his Ph.D. in 2022 in the Department of Computer Science and Engineering, Beihang University. He receives his B.E. in 2016 in the Department of Computer Science and Engineering, Beihang University.

Research

My research focuses on

Recent Publications

  1. [NeurIPS’22] Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding. A Comprehensive Benchmark for Personalized Federated Learning, In Proceedings of the Annual Conference on Neural Information Processing Systems, New Orleans, USA, Nov 27 - Dec 3, 2022. (Datasets and Benchmarks Track)

  2. [KDD’22] Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding. Meta Winning Ticket to Train Your MAML, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, Aug 14 - Aug 18, 2022. (Research Track)

  3. [CIKM’21] Dawei Gao, Xiaoxi He, Zimu Zhou*, Yongxin Tong, Lothar Thiele. Meta-Trained Networks for On-Device Adaptation, In Proceedings of the ACM International Conference on Information and Knowledge Management, Virtual, Nov 01 - Nov 05, 2021

  4. [KDD’21] Xiaoxi He, Dawei Gao, Zimu Zhou*, Yongxin Tong, Lothar Thiele. Merging for Efficient Multitask Inference, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Virtual, Aug 14 - Aug 18, 2021. (Research Track)

  5. [KDD’20] Dawei Gao, Xiaoxi He, Zimu Zhou*, Yongxin Tong, Ke Xu, Lothar Thiele. Pruning for Accelerating Deep Inference At the Edge, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Virtual, Aug 23 - Aug 27, 2020. (Research Track)

  6. [DSE’17] Dawei Gao, Yongxin Tong*, Jieying She, Tianshu Song, Lei Chen, Ke Xu. Team Recommendation and Its Variants in Spatial Crowdsourcing, Data Science and Engineering, 2(2): 136-150, June 2017.

  7. [APWeb-WAIM’17] Dawei Gao, Yongxin Tong*, Yudian Ji, Ke Xu. Task Planning in Spatial Crowdsourcing, In Proceedings of the 1st Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, Pages 41-56, Beijing, China, July 7-9, 2017.

  8. [WAIM’16] Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu. Teams Recommendation in Spatial Crowdsourcing, In Proceedings of the 17th International Conference on Web-Age Information Management, Pages 191-204, Nanchang, Jiangxi, China, June 3-5, 2016. (Best Paper Award)

Open Source Project

  1. FederatedScope: An easy-to-use federated learning platform