Lulu Kang

According to our database, Lulu Kang authored at least 20 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Active Learning for Manifold Gaussian Process Regression.

Yuanxing Cheng, Lulu Kang, Yiwei Wang, Chun Liu

CoRR, June, 2025

Accelerating Particle-based Energetic Variational Inference.

Xuelian Bao, Lulu Kang, Chun Liu, Yiwei Wang

CoRR, April, 2025

Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input.

Lulu Kang, Minshen Xu

CoRR, February, 2025

Source-Free Unsupervised Domain Adaptation through Trust-Guided Partitioning and Worst-Case Aligning.

Qing Tian, Lulu Kang

Knowl. Based Syst., 2025

2024

Active domain adaptation with mining diverse knowledge: An updated class consensus dictionary approach.

Qing Tian, Liangyu Zhou, Yanan Zhu, Lulu Kang

Inf. Sci., 2024

Energetic Variational Gaussian Process Regression.

Lulu Kang, Yuanxing Cheng, Yiwei Wang, Chun Liu

Proceedings of the Winter Simulation Conference, 2024

Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency.

Parian Haghighat, Denisa Gándara, Lulu Kang, Hadis Anahideh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence.

Qiong Zhang, Lulu Kang

Technometrics, 2022

A generative approach to modeling data with quantitative and qualitative responses.

Xiaoning Kang, Lulu Kang, Wei Chen, Xinwei Deng

J. Multivar. Anal., 2022

2021

Gaussian Process Assisted Active Learning of Physical Laws.

Jiuhai Chen, Lulu Kang, Guang Lin

Technometrics, 2021

Particle-based energetic variational inference.

Yiwei Wang, Jiuhai Chen, Chun Liu, Lulu Kang

Stat. Comput., 2021

Low-Discrepancy Points via Energetic Variational Inference.

Yindong Chen, Yiwei Wang, Lulu Kang, Chun Liu

CoRR, 2021

2020

Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments.

Sumin Shen, Lulu Kang, Xinwei Deng

Technometrics, 2020

2016

Comparing the Slack-Variable Mixture Model With Other Alternatives.

Lulu Kang, Javier Cruz Salgado, William A. Brenneman

Technometrics, 2016

Kernel Approximation: From Regression to Interpolation.

Lulu Kang, V. Roshan Joseph

SIAM/ASA J. Uncertain. Quantification, 2016

2011

Design and Modeling Strategies for Mixture-of-Mixtures Experiments.

Lulu Kang, V. Roshan Joseph, William A. Brenneman

Technometrics, 2011

Regression-Based Inverse Distance Weighting With Applications to Computer Experiments.

V. Roshan Joseph, Lulu Kang

Technometrics, 2011

Product defect rate confidence bound with attribute and variable data.

Lulu Kang, William A. Brenneman

Qual. Reliab. Eng. Int., 2011

2010

Computer and physical experiments: design, modeling, and multivariate interpolation.

Lulu Kang

PhD thesis, 2010

2009

Bayesian Optimal Single Arrays for Robust Parameter Design.

Lulu Kang, V. Roshan Joseph

Technometrics, 2009