Weijia Wang

21 papers A* 5B 1Journal 14
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design.
IEEE Trans. Artif. Intell.
Mahdi Morafah, Weijia Wang, Bill Lin
2023 J jnl
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design.
CoRR
Mahdi Morafah, Weijia Wang, Bill Lin
2023 J jnl
Alternative Formulations of Decision Rule Learning from Neural Networks.
Mach. Learn. Knowl. Extr.
Litao Qiao, Weijia Wang, Bill Lin
2023 J jnl
Disjunctive Threshold Networks for Tabular Data Classification.
IEEE Open J. Comput. Soc.
Weijia Wang, Litao Qiao, Bill Lin
2023 A* conf
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces.
AAAI
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2023 — —
Efficient and Explainable Machine Learning
Weijia Wang
2023 J jnl
FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution.
IEEE Open J. Comput. Soc.
Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin
2023 J jnl
Rethinking Logic Minimization for Tabular Machine Learning.
IEEE Trans. Artif. Intell.
Litao Qiao, Weijia Wang, Sanjoy Dasgupta, Bill Lin
2023 A* conf
When Do Curricula Work in Federated Learning?
ICCV
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2022 J jnl
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces.
CoRR
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2022 J jnl
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution.
CoRR
Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin
2022 J jnl
Neural Routing in Meta Learning.
CoRR
Jicang Cai, Saeed Vahidian, Weijia Wang, Mohsen Joneidi, Bill Lin
2022 J jnl
Optimizing 3D U-Net-based Brain Tumor Segmentation with Integer-arithmetic Deep Learning Accelerators.
ACM J. Emerg. Technol. Comput. Syst.
Weijia Wang, Bill Lin
2022 J jnl
When Do Curricula Work in Federated Learning?
CoRR
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2021 A* conf
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks.
AAAI
Litao Qiao, Weijia Wang, Bill Lin
2021 J jnl
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks.
CoRR
Litao Qiao, Weijia Wang, Bill Lin
2021 A* conf
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models.
ICLR
Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni
2020 A* conf
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds.
CVPR
Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard, Bill Lin, Mubarak Shah
2020 J jnl
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models.
CoRR
Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni
2019 J jnl
Trained Biased Number Representation for ReRAM-Based Neural Network Accelerators.
ACM J. Emerg. Technol. Comput. Syst.
Weijia Wang, Bill Lin
2018 B conf
Reliable Shortest Path Routing with Applications to Wireless Software-Defined Networking.
GLOBECOM
Weijia Wang, Chang-Heng Wang, Tara Javidi