Wei Chen - RankMe

64 papers A* 1A 1Misc 1Journal 59Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models. CoRR Xiangyu Shi, Junyang Ding, Xu Zhao, Sinong Zhan, Payal Mohapatra, Daniel Quispe, Kojo Welbeck, Jian Cao, Wei Chen, Ping Guo, Qi Zhu
2026	J	`jnl`	TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification. CoRR Akash Pandey, Payal Mohapatra, Wei Chen, Qi Zhu, Sinan Keten
2025	J	`jnl`	A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring. J. Comput. Inf. Sci. Eng. Vispi Karkaria, Jie Chen, Christopher Luey, Chase Siuta, Damien Lim, Robert Radulescu, Wei Chen
2025	J	`jnl`	A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images. CoRR Kungang Zhang, Daniel W. Apley, Wei Chen, Wing K. Liu, L. Catherine Brinson
2025	J	`jnl`	AI-Accelerated Electronic Materials Discovery and Development. Computer Christopher C. Price, Ichiro Takeuchi, James M. Rondinelli, Wei Chen, Christopher L. Hinkle
2025	J	`jnl`	COLOR: A Compositional Linear Operation-Based Representation of Protein Sequences for Identification of Monomer Contributions to Properties. J. Chem. Inf. Model. Akash Pandey, Wei Chen, Sinan Keten
2025	J	`jnl`	Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning. Adv. Intell. Syst. Wei Wayne Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen
2025	J	`jnl`	Graph representation of local environments for learning high-entropy alloy properties. Mach. Learn. Sci. Technol. Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen
2025	J	`jnl`	Network Analysis of Two-Stage Customer Decisions With Preference-Guided Market Segmentation. J. Comput. Inf. Sci. Eng. Yaxin Cui, Zhuoxin Sun, Yinshuang Xiao, Zhenghui Sha, Johan Koskinen, Noshir Contractor, Wei Chen
2025	J	`jnl`	Uncertainty quantification driven machine learning for improving model accuracy in imbalanced regression tasks. Expert Syst. Appl. Tuba Dolar, Jie Chen, Wei Chen
2024	J	`jnl`	Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning. CoRR Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen
2024	J	`jnl`	Do Graph Neural Networks Work for High Entropy Alloys? CoRR Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen
2024	J	`jnl`	Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data. CoRR Hengrui Zhang, Alexandru B. Georgescu, Suraj Yerramilli, Christopher Karpovich, Daniel W. Apley, Elsa A. Olivetti, James M. Rondinelli, Wei Chen
2024	J	`jnl`	Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. CoRR Chanwook Park, Sourav Saha, Jiachen Guo, Xiaoyu Xie, Satyajit Mojumder, Miguel A. Bessa, Dong Qian, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
2024	J	`jnl`	Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning. CoRR Wei Wayne Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen
2024	J	`jnl`	Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization. CoRR Vispi Karkaria, Anthony Goeckner, Rujing Zha, Jie Chen, Jianjing Zhang, Qi Zhu, Jian Cao, Robert X. Gao, Wei Chen
2023	J	`jnl`	B-factor prediction in proteins using a sequence-based deep learning model. Patterns Akash Pandey, Elaine Liu, Jacob Graham, Wei Chen, Sinan Keten
2023	J	`jnl`	Data-Driven Design for Metamaterials and Multiscale Systems: A Review. CoRR Doksoo Lee, Wei Wayne Chen, Liwei Wang, Yu-Chin Chan, Wei Chen
2023	J	`jnl`	Fully Bayesian Inference for Latent Variable Gaussian Process Models. SIAM/ASA J. Uncertain. Quantification Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley
2023	J	`jnl`	Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design. CoRR Yigitcan Comlek, Liwei Wang, Wei Chen
2023	J	`jnl`	MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling. CoRR Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen
2023	Misc	`conf`	Person Identification with Wearable Sensing Using Missing Feature Encoding and Multi-Stage Modality Fusion. ICASSP Payal Mohapatra, Akash Pandey, Sinan Keten, Wei Chen, Qi Zhu
2023	J	`jnl`	Physics-aware differentiable design of magnetically actuated kirigami for shape morphing. CoRR Liwei Wang, Yilong Chang, Shuai Wu, Ruike Renee Zhao, Wei Chen
2023	J	`jnl`	Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process. CoRR Yangfan Li, Satyajit Mojumder, Ye Lu, Abdullah Al Amin, Jiachen Guo, Xiaoyu Xie, Wei Chen, Gregory J. Wagner, Jian Cao, Wing Kam Liu
2023	J	`jnl`	Two-scale data-driven design for heat manipulation. CoRR Daicong Da, Wei Chen
2022	J	`jnl`	A Weighted Statistical Network Modeling Approach to Product Competition Analysis. Complex. Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Noshir Contractor, Wei Chen
2022	J	`jnl`	ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data. CoRR Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen
2022	J	`jnl`	Fully Bayesian inference for latent variable Gaussian process models. CoRR Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley
2022	J	`jnl`	Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty. CoRR Wei Wayne Chen, Doksoo Lee, Oluwaseyi Balogun, Wei Chen
2022	J	`jnl`	T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning. CoRR Doksoo Lee, Yu-Chin Chan, Wei Wayne Chen, Liwei Wang, Anton van Beek, Wei Chen
2022	J	`jnl`	Uncertainty-aware Mixed-variable Machine Learning for Materials Design. CoRR Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen
2021	J	`jnl`	A Graph Neural Network Approach for Product Relationship Prediction. CoRR Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen
2021	J	`jnl`	An Electrochemical Ti3C2Tx Aptasensor for Sensitive and Label-Free Detection of Marine Biological Toxins. Sensors Najeeb Ullah, Wei Chen, Beenish Noureen, Yulan Tian, Liping Du, Chunsheng Wu, Jie Ma
2021	A	`conf`	Combinatorial semi-bandit in the non-stationary environment. UAI Wei Chen, Liwei Wang, Haoyu Zhao, Kai Zheng
2021	J	`jnl`	Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization. CoRR Liwei Wang, Anton van Beek, Daicong Da, Yu-Chin Chan, Ping Zhu, Wei Chen
2021	J	`jnl`	Deep Generative Models for Geometric Design Under Uncertainty. CoRR Wei Wayne Chen, Doksoo Lee, Wei Chen
2021	J	`jnl`	Enhancing Data-driven Multiscale Topology Optimization with Generalized De-homogenization. CoRR Liwei Wang, Zhao Liu, Daicong Da, Yu-Chin Chan, Wei Chen, Ping Zhu
2021	J	`jnl`	Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design. CoRR Liwei Wang, Jagannadh Boddapati, Ke Liu, Ping Zhu, Chiara Daraio, Wei Chen
2021	J	`jnl`	Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis. CoRR Amin Heyrani Nobari, Wei Chen, Faez Ahmed
2021	J	`jnl`	Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending. CoRR Yu-Chin Chan, Daicong Da, Liwei Wang, Wei Chen
2021	J	`jnl`	Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors. CoRR Liwei Wang, Suraj Yerramilli, Akshay Iyer, Daniel W. Apley, Ping Zhu, Wei Chen
2021	J	`jnl`	Towards Improving the Efficiency of Organic Solar Cells by Coarse-Grained Atomistic Modeling of Processing Dependent Morphologies. Comput. Sci. Eng. Ganesh Balasubramanian, Joydeep Munshi, Wei Chen, TeYu Chien
2021	J	`jnl`	Transfer Learned Designer Polymers For Organic Solar Cells. J. Chem. Inf. Model. Joydeep Munshi, Wei Chen, TeYu Chien, Ganesh Balasubramanian
2020	J	`jnl`	A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors. Technometrics Yichi Zhang, Siyu Tao, Wei Chen, Daniel W. Apley
2020	J	`jnl`	Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process. CoRR Liwei Wang, Siyu Tao, Ping Zhu, Wei Chen
2020	J	`jnl`	Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems. CoRR Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen
2020	J	`jnl`	METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design. CoRR Yu-Chin Chan, Faez Ahmed, Liwei Wang, Wei Chen
2020	J	`jnl`	MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement. CoRR Wei Chen, Faez Ahmed
2020	J	`jnl`	MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization. CoRR Wei Chen, Faez Ahmed
2020	J	`jnl`	PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs. CoRR Wei Chen, Faez Ahmed
2019	J	`jnl`	A Conditional Generative Model for Predicting Material Microstructures from Processing Methods. CoRR Akshay Iyer, Biswadip Dey, Arindam Dasgupta, Wei Chen, Amit Chakraborty
2019	—	`conf`	An in-vivo bioelectronic nose using bioengineered olfactory system of rat as sensitive elements towards explosive detection. ISOEN Ping Zhu, Liping Du, Yulan Tian, Wei Chen, Chunsheng Wu, Ping Wang
2019	J	`jnl`	Data-Centric Mixed-Variable Bayesian Optimization For Materials Design. CoRR Akshay Iyer, Yichi Zhang, Aditya Prasad, Siyu Tao, Yixing Wang, Linda Schadler, L. Catherine Brinson, Wei Chen
2019	A*	`conf`	Formalized Task Characterization for Human-Robot Autonomy Allocation. ICRA Michael Young, Christopher X. Miller, Youyi Bi, Wei Chen, Brenna D. Argall
2019	J	`jnl`	Label-Free Detection of E. coli O157: H7 DNA Using Light-Addressable Potentiometric Sensors with Highly Oriented ZnO Nanorod Arrays. Sensors Yulan Tian, Tao Liang, Ping Zhu, Yating Chen, Wei Chen, Liping Du, Chunsheng Wu, Ping Wang
2018	J	`jnl`	A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors. CoRR Yichi Zhang, Siyu Tao, Wei Chen, Daniel W. Apley
2018	J	`jnl`	A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations. Complex. Zhenghui Sha, Yun Huang, Jiawei Sophia Fu, Mingxian Wang, Yan Fu, Noshir Contractor, Wei Chen
2017	—	`conf`	An Ontology for a Polymer Nanocomposite Community Data Resource. WebSci Vipula Rawte, Jamie P. McCusker, He Zhao, L. Catherine Brinson, Wei Chen, Linda Schadler, Deborah L. McGuinness
2016	J	`jnl`	Time-variant reliability assessment through equivalent stochastic process transformation. Reliab. Eng. Syst. Saf. Zequn Wang, Wei Chen
2013	J	`jnl`	Computational microstructure characterization and reconstruction for stochastic multiscale material design. Comput. Aided Des. Yu Liu, M. Steven Greene, Wei Chen, Dmitriy A. Dikin, Wing Kam Liu
2013	J	`jnl`	Lightweight design of vehicle parameters under crashworthiness using conservative surrogates. Comput. Ind. Ping Zhu, Feng Pan, Wei Chen, Felipe Antonio Chegury Viana
2012	J	`jnl`	Use of support vector regression in structural optimization: Application to vehicle crashworthiness design. Math. Comput. Simul. Ping Zhu, Feng Pan, Wei Chen, Siliang Zhang
2009	J	`jnl`	Health Management Allocation During Conceptual System Design. J. Comput. Inf. Sci. Eng. Christopher Hoyle, Irem Y. Tumer, Alexander F. Mehr, Wei Chen
2009	J	`jnl`	Product Attribute Function Deployment (PAFD) for Decision-Based Conceptual Design. IEEE Trans. Engineering Management Christopher Hoyle, Wei Chen