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Weijia Wang 0002
Person information
- affiliation: University of California San Diego, Department of Electrical and Computer Engineering, CA, USA
Other persons with the same name
- Weijia Wang (aka: Wei-Jia Wang) — disambiguation page
- Weijia Wang 0001 — Flight Automatic Control Research Institute, Xi'an, China (and 1 more)
- Weijia Wang 0003
— Shandong University, School of Cyber Science and Technology, Qingdao, China (and 2 more)
- Weijia Wang 0004
- Wei-Jia Wang 0005
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Books and Theses
- 2023
- [b1]Weijia Wang:
Efficient and Explainable Machine Learning. University of California, San Diego, USA, 2023
Journal Articles
- 2024
- [j7]Mahdi Morafah
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Trans. Artif. Intell. 5(4): 1708-1717 (2024) - 2023
- [j6]Litao Qiao
Alternative Formulations of Decision Rule Learning from Neural Networks. Mach. Learn. Knowl. Extr. 5(3): 937-956 (2023) - [j5]Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin:
FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution. IEEE Open J. Comput. Soc. 4: 109-120 (2023) - [j4]Weijia Wang
Disjunctive Threshold Networks for Tabular Data Classification. IEEE Open J. Comput. Soc. 4: 185-194 (2023) - [j3]Litao Qiao
Rethinking Logic Minimization for Tabular Machine Learning. IEEE Trans. Artif. Intell. 4(5): 1129-1140 (2023) - 2022
- [j2]Weijia Wang, Bill Lin:
Optimizing 3D U-Net-based Brain Tumor Segmentation with Integer-arithmetic Deep Learning Accelerators. ACM J. Emerg. Technol. Comput. Syst. 18(2): 25:1-25:16 (2022) - 2019
- [j1]Weijia Wang, Bill Lin
Trained Biased Number Representation for ReRAM-Based Neural Network Accelerators. ACM J. Emerg. Technol. Comput. Syst. 15(2): 15:1-15:17 (2019)
Conference and Workshop Papers
- 2023
- [c6]Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin:
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. AAAI 2023: 10043-10052 - [c5]Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin:
When Do Curricula Work in Federated Learning? ICCV 2023: 5061-5071 - 2021
- [c4]Litao Qiao, Weijia Wang, Bill Lin:
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks. AAAI 2021: 4303-4311 - [c3]Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni:
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. ICLR 2021 - 2020
- [c2]Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard, Bill Lin, Mubarak Shah
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds. CVPR 2020: 7816-7826 - 2018
- [c1]Weijia Wang, Chang-Heng Wang, Tara Javidi
Reliable Shortest Path Routing with Applications to Wireless Software-Defined Networking. GLOBECOM 2018: 1-6
Informal and Other Publications
- 2023
- [i7]Mahdi Morafah, Weijia Wang, Bill Lin:
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. CoRR abs/2307.15245 (2023) - 2022
- [i6]Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin:
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution. CoRR abs/2208.09754 (2022) - [i5]Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces. CoRR abs/2209.10526 (2022) - [i4]Jicang Cai, Saeed Vahidian, Weijia Wang, Mohsen Joneidi, Bill Lin:
Neural Routing in Meta Learning. CoRR abs/2210.07932 (2022) - [i3]Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev
When Do Curricula Work in Federated Learning? CoRR abs/2212.12712 (2022) - 2021
- [i2]Litao Qiao, Weijia Wang, Bill Lin:
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks. CoRR abs/2103.02826 (2021) - 2020
- [i1]Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni:
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. CoRR abs/2006.10236 (2020)
Coauthor Index
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