Weijia Wang

According to our database, Weijia Wang authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design.

Mahdi Morafah, Weijia Wang, Bill Lin

IEEE Trans. Artif. Intell., April, 2024

2023

Rethinking Logic Minimization for Tabular Machine Learning.

Litao Qiao, Weijia Wang, Sanjoy Dasgupta, Bill Lin

IEEE Trans. Artif. Intell., October, 2023

Alternative Formulations of Decision Rule Learning from Neural Networks.

Litao Qiao, Weijia Wang, Bill Lin

Mach. Learn. Knowl. Extr., June, 2023

Disjunctive Threshold Networks for Tabular Data Classification.

Weijia Wang, Litao Qiao, Bill Lin

IEEE Open J. Comput. Soc., 2023

When Do Curricula Work in Federated Learning?

Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces.

Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Optimizing 3D U-Net-based Brain Tumor Segmentation with Integer-arithmetic Deep Learning Accelerators.

Weijia Wang, Bill Lin

ACM J. Emerg. Technol. Comput. Syst., 2022

Neural Routing in Meta Learning.

Jicang Cai, Saeed Vahidian, Weijia Wang, Mohsen Joneidi, Bill Lin

CoRR, 2022

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution.

Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin

CoRR, 2022

2021

Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models.

Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Accurate and Interpretable Decision Rule Sets from Neural Networks.

Litao Qiao, Weijia Wang, Bill Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds.

Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard, Bill Lin, Mubarak Shah

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Trained Biased Number Representation for ReRAM-Based Neural Network Accelerators.

Weijia Wang, Bill Lin

ACM J. Emerg. Technol. Comput. Syst., 2019

2018

Reliable Shortest Path Routing with Applications to Wireless Software-Defined Networking.

Weijia Wang, Chang-Heng Wang, Tara Javidi

Proceedings of the IEEE Global Communications Conference, 2018