Author

Dawei Gao

alibaba-inc - Cited by 213 - machine learning

Biography

Dr. Dawei Gao is currently working at Chemical  Department. Dawei Gao is research interests includes Chemical in Drug Design for Cancer. Dawei Gao serving as an editorial member and reviewer of several international reputed journals. Dawei Gao has successfully completed his Administrative responsibilities. Dawei Gao has authored of many research articles/books related to Medicine.
Title
Cited by
Year
Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing
D Gao, Y Tong, J She, T Song, L Chen, K XuData Science and Engineering 2, 136-150, 2017201
64
2017
Top-k Team Recommendation in Spatial Crowdsourcing
D Gao, Y Tong, J She, T Song, L Chen, K XuInternational conference on web-age information management, 191-204, 2016201
44
2016
Federatedscope: A flexible federated learning platform for heterogeneity
Y Xie, Z Wang, D Gao, D Chen, L Yao, W Kuang, Y Li, B Ding, J ZhouarXiv preprint arXiv:24.05011, 222
20
2022
pFL-bench: A comprehensive benchmark for personalized federated learning
D Chen, D Gao, W Kuang, Y Li, B DingAdvances in Neural Information Processing Systems 35, 9344-9360, 2022202
18
2022
Rethinking pruning for accelerating deep inference at the edge
D Gao, X He, Z Zhou, Y Tong, K Xu, L ThieleProceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020202
18
2020
Team-oriented task planning in spatial crowdsourcing
D Gao, Y Tong, Y Ji, K XuAsia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2017201
15
2017
Federatedscope: A comprehensive and flexible federated learning platform via message passing
Y Xie, Z Wang, D Chen, D Gao, L Yao, W Kuang, Y Li, B Ding, J ZhouarXiv e-prints, arXiv: 2204.05011, 2022202
12
2022
Pruning-aware merging for efficient multitask inference
X He, D Gao, Z Zhou, Y Tong, L ThieleProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021202
6
2021
Pruning meta-trained networks for on-device adaptation
D Gao, X He, Z Zhou, Y Tong, L ThieleProceedings of the 30th ACM International Conference on Information …, 2021202
5
2021
A Benchmark for Federated Hetero-Task Learning
L Yao, D Gao, Z Wang, Y Xie, W Kuang, D Chen, H Wang, C Dong, ...arXiv preprint arXiv 2206, 2022202
3
2022
Disentangling redundancy for multi-task pruning
X He, D Gao, Z Zhou, Y Tong, L ThielearXiv preprint arXiv:1905.09676, 2019201
3
2019
FS-Real: Towards Real-World Cross-Device Federated Learning
D Chen, D Gao, Y Xie, X Pan, Z Li, Y Li, B Ding, J ZhouarXiv preprint arXiv:303.13363, 030
2
2023
Federated Hetero-Task Learning
L Yao, D Gao, Z Wang, Y Xie, W Kuang, D Chen, H Wang, C Dong, ...arXiv preprint arXiv:06.03436, 0
2
2022
Finding meta winning ticket to train your MAML
D Gao, Y Xie, Z Zhou, Z Wang, Y Li, B DingProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022202
1
2022

Referred From: https://scholar.google.com/citations?user=C5VteIQAAAAJ&hl=zh-CN

Cited by
Citations 213
h-index 7
i10-index 7
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