Reliable Shortest Path Routing with Applications to Wireless Software-Defined Networking. - Weijia Wang 002; Chang-Heng Wang; Tara Javidi (GLOBECOM, 2018)

Trained Biased Number Representation for ReRAM-Based Neural Network Accelerators. - Weijia Wang 002; Bill Lin 001 (ACM J. Emerg. Technol. Comput. Syst., 2019)

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds. - Mohsen Joneidi; Saeed Vahidian; Ashkan Esmaeili; Weijia Wang 002; Nazanin Rahnavard; Bill Lin 001; Mubarak Shah (CVPR, 2020)

Learning Accurate and Interpretable Decision Rule Sets from Neural Networks. - Litao Qiao; Weijia Wang 002; Bill Lin 001 (AAAI, 2021)

Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. - Siavash Khodadadeh; Sharare Zehtabian; Saeed Vahidian; Weijia Wang 002; Bill Lin 001; Ladislau Bölöni (ICLR, 2021)

Neural Routing in Meta Learning. - Jicang Cai; Saeed Vahidian; Weijia Wang 002; Mohsen Joneidi; Bill Lin 001 (CoRR, 2022)

Optimizing 3D U-Net-based Brain Tumor Segmentation with Integer-arithmetic Deep Learning Accelerators. - Weijia Wang 002; Bill Lin 001 (ACM J. Emerg. Technol. Comput. Syst., 2022)

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. - Saeed Vahidian; Mahdi Morafah; Weijia Wang 002; Vyacheslav Kungurtsev; Chen Chen 001; Mubarak Shah; Bill Lin 001 (AAAI, 2023)

When Do Curricula Work in Federated Learning? - Saeed Vahidian; Sreevatsank Kadaveru; Woonjoon Baek; Weijia Wang 002; Vyacheslav Kungurtsev; Chen Chen 001; Mubarak Shah; Bill Lin 001 (ICCV, 2023)

FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution. - Mahdi Morafah; Saeed Vahidian; Weijia Wang 002; Bill Lin 001 (IEEE Open J. Comput. Soc., 2023)

Disjunctive Threshold Networks for Tabular Data Classification. - Weijia Wang 002; Litao Qiao; Bill Lin 001 (IEEE Open J. Comput. Soc., 2023)

Efficient and Explainable Machine Learning - Weijia Wang 002 (2023)

Alternative Formulations of Decision Rule Learning from Neural Networks. - Litao Qiao; Weijia Wang 002; Bill Lin 001 (Mach. Learn. Knowl. Extr., 2023)

Rethinking Logic Minimization for Tabular Machine Learning. - Litao Qiao; Weijia Wang 002; Sanjoy Dasgupta; Bill Lin 001 (IEEE Trans. Artif. Intell., 2023)

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. - Mahdi Morafah; Weijia Wang 002; Bill Lin 001 (IEEE Trans. Artif. Intell., 2024)