6 citations · 12 across the 15 of their papers we have counts for
4 papers · 1 filter
Dynamic Bayesian Optimization Framework for Instruction Tuning in Partial Differential Equation Discovery
Junqi Qu, Yan Zhang, Shangqian Gao +1
Large Language Models (LLMs) show promise for equation discovery, yet their outputs are highly sensitive to prompt phrasing, a phenomenon we term instruction brittleness. Static pr…
Beyond Heuristics: Globally Optimal Configuration of Implicit Neural Representations
Sipeng Chen, Yan Zhang, Shibo Li
Implicit Neural Representations (INRs) have emerged as a transformative paradigm in signal processing and computer vision, excelling in tasks from image reconstruction to 3D shape…
ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
Zhan Cheng, Bolin Shen, Tianming Sha +3
Graph Neural Networks (GNNs) have gained traction in Graph-based Machine Learning as a Service (GMLaaS) platforms, yet they remain vulnerable to graph-based model extraction attack…
COMPOL: A Unified Neural Operator Framework for Scalable Multi-Physics Simulations
Junqi Qu, Tao Wang, Yushun Dong +2
Multiphysics simulations play an essential role in accurately modeling complex interactions across diverse scientific and engineering domains Although neural operators especially t…