Weijia Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Alternative Formulations

Integer Arithmetic

Top Venues

IEEE Trans. Artif. Intell.

ACM J. Emerg. Technol. Comput. Syst.

Publications

Mahdi Morafah, Weijia Wang, Bill Lin
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Trans. Artif. Intell. 5 (4) (2024)
Mahdi Morafah, Weijia Wang, Bill Lin
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. CoRR (2023)
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)
Litao Qiao, Weijia Wang, Bill Lin
Alternative Formulations of Decision Rule Learning from Neural Networks. Mach. Learn. Knowl. Extr. 5 (3) (2023)
Litao Qiao, Weijia Wang, Sanjoy Dasgupta, Bill Lin
Rethinking Logic Minimization for Tabular Machine Learning. IEEE Trans. Artif. Intell. 4 (5) (2023)
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)
Weijia Wang, Litao Qiao, Bill Lin
Disjunctive Threshold Networks for Tabular Data Classification. IEEE Open J. Comput. Soc. 4 (2023)
Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution. CoRR (2022)
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) (2022)
Jicang Cai, Saeed Vahidian, Weijia Wang, Mohsen Joneidi, Bill Lin
Neural Routing in Meta Learning. CoRR (2022)
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. CoRR (2022)
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
When Do Curricula Work in Federated Learning? CoRR (2022)
Litao Qiao, Weijia Wang, Bill Lin
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks. AAAI (2021)
Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. ICLR (2021)
Litao Qiao, Weijia Wang, Bill Lin
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks. CoRR (2021)
Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. CoRR (2020)
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)
Weijia Wang, Bill Lin
Trained Biased Number Representation for ReRAM-Based Neural Network Accelerators. ACM J. Emerg. Technol. Comput. Syst. 15 (2) (2019)
Weijia Wang, Chang-Heng Wang, Tara Javidi
Reliable Shortest Path Routing with Applications to Wireless Software-Defined Networking. GLOBECOM (2018)