Zhang, Shiqiang

8 publications

AISTATS 2025 Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation Yilin Xie, Shiqiang Zhang, Joel Paulson, Calvin Tsay

ICLRW 2025 Molecular Design Using Graph Bayesian Optimization with Shortest-Path Kernels Yilin Xie, Shiqiang Zhang, Jixiang Qing, Ruth Misener, Calvin Tsay

NeurIPS 2025 The Catechol Benchmark: Time-Series Solvent Selection Data for Few-Shot Machine Learning Toby Boyne, Juan S Campos, Rebecca D. Langdon, Jixiang Qing, Yilin Xie, Shiqiang Zhang, Calvin Tsay, Ruth Misener, Daniel W. Davies, Kim E Jelfs, Sarah Boyall, Thomas Mark Dixon, Linden Schrecker, Jose Pablo Folch

ICML 2024 Verifying Message-Passing Neural Networks via Topology-Based Bounds Tightening Christopher Hojny, Shiqiang Zhang, Juan S Campos, Ruth Misener

NeurIPS 2023 Optimizing over Trained GNNs via Symmetry Breaking Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener

NeurIPSW 2023 Practical Path-Based Bayesian Optimization Jose Pablo Folch, James A C Odgers, Shiqiang Zhang, Robert Matthew Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

NeurIPS 2022 SnAKe: Bayesian Optimization with Pathwise Exploration Jose Pablo Folch, Shiqiang Zhang, Robert Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

MLJ 2021 Efficient Weingarten mAP and Curvature Estimation on Manifolds Yueqi Cao, Didong Li, Huafei Sun, Amir H. Assadi, Shiqiang Zhang