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ORCIDSiqi Liang 0001
Person information
- affiliation: Chinese University of Hong Kong, Shenzhen Research Institute, Rich Media Big Data Analytics and Application Key Laboratory, Hong Kong
- affiliation: Michigan State University, USA
- affiliation: University of Electronic Science and Technology of China, SMILE Lab, School of Computer Science and Engineering, China
Other persons with the same name
- Siqi Liang — disambiguation page
- Siqi Liang 0002
![[0000-0002-6433-5964]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6433-5964")
— Cornell University, Department of Computational Biology, Ithaca, NY, USA (and 1 more) - Siqi Liang 0003 — Lanzhou University, School of Information Science and Engineering, China
- Siqi Liang 0004 — Harbin Institute of Technology, School of Mechanical Engineering and Automation, Shenzhen, China
- Siqi Liang 0005 — Purdue University, West Lafayette, IN, USA
- Siqi Liang 0006 — Guangzhou University, School of Mechanical and Electric Engineering, China
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Journal Articles
- 2023
[j2]Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu:
FedLab: A Flexible Federated Learning Framework. J. Mach. Learn. Res. 24: 100:1-100:7 (2023)- 2018
- [j1]Liyang Hao, Siqi Liang, Jinmian Ye, Zenglin Xu:
TensorD: A tensor decomposition library in TensorFlow. Neurocomputing 318: 196-200 (2018)
Conference and Workshop Papers
- 2024
- [c1]Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. KDD 2024: 5105-5115
Informal and Other Publications
- 2024
- [i4]Hoang Bao, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. CoRR abs/2405.15081 (2024) - [i3]Siqi Liang, Sumyeong Ahn, Jiayu Zhou:
Distributed In-Context Learning under Non-IID Among Clients. CoRR abs/2408.00144 (2024) - 2023
- [i2]Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu:
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR abs/2306.11650 (2023) - 2021
- [i1]Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu:
FedLab: A Flexible Federated Learning Framework. CoRR abs/2107.11621 (2021)
Coauthor Index
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