2 code implementations • 31 Jan 2022 • Jose Pablo Folch, Shiqiang Zhang, Robert M Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
Bayesian Optimization is a very effective tool for optimizing expensive black-box functions.
1 code implementation • 26 May 2019 • Yueqi Cao, Didong Li, Huafei Sun, Amir H Assadi, Shiqiang Zhang
In this paper, we propose an efficient method to estimate the Weingarten map for point cloud data sampled from manifold embedded in Euclidean space.
no code implementations • 8 Nov 2023 • Hengliang Tang, Zihang Zhao, Detian Liu, Yang Cao, Shiqiang Zhang, Siqing You
To address these challenges, we present an innovative Edge-assisted U-Shaped Split Federated Learning (EUSFL) framework, which harnesses the high-performance capabilities of edge servers to assist IoT devices in model training and optimization process.
no code implementations • 1 Dec 2023 • Jose Pablo Folch, James Odgers, Shiqiang Zhang, Robert M Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
There has been a surge in interest in data-driven experimental design with applications to chemical engineering and drug manufacturing.
no code implementations • 21 Feb 2024 • Christopher Hojny, Shiqiang Zhang, Juan S. Campos, Ruth Misener
Since graph neural networks (GNNs) are often vulnerable to attack, we need to know when we can trust them.