34 citations · 52 across the 5 of their papers we have counts for
5 papers
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
Zijun Yao, Chengjiang Li, Tiansi Dong +6
Entity Matching (EM) aims at recognizing entity records that denote the same real-world object. Neural EM models learn vector representation of entity descriptions and match entiti…
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
Yichi Zhang, Daniel Apley, Wei Chen
Although Bayesian Optimization (BO) has been employed for accelerating materials design in computational materials engineering, existing works are restricted to problems with quant…
Designing Anisotropic Microstructures with Spectral Density Function
Akshay Iyer, Rabindra Dulal, Yichi Zhang +4
Materials' microstructure strongly influences its performance and is thus a critical aspect in design of functional materials. Previous efforts on microstructure mediated design mo…
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design
Akshay Iyer, Yichi Zhang, Aditya Prasad +5
Materials design can be cast as an optimization problem with the goal of achieving desired properties, by varying material composition, microstructure morphology, and processing co…
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
Yichi Zhang, Siyu Tao, Wei Chen +1
Computer simulations often involve both qualitative and numerical inputs. Existing Gaussian process (GP) methods for handling this mainly assume a different response surface for ea…