Lulu Kang

26 papers A* 1Misc 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.
J. Chem. Inf. Model.
Hugo MacDermott-Opeskin, Jenke Scheen, Cas Wognum, Joshua T. Horton, Devany West, Alexander Matthew Payne, Maria A. Castellanos, Sean Colby, Edward J. Griffen, David Cousins, Jessica Stacey, Lauren Reid, Jasmin Cara Aschenbrenner, Daren Fearon, Blake Balcomb, Peter Marples, Charles W. E. Tomlinson, Ryan Lithgo, Andre S. Godoy, Max Winokan, Haim Barr, Noa Lahav, Michael Lavi, Shirley Duberstein, Galit Cohen, Gwendolyn Fate, Bruce Lefker, Ralph Robinson, Tamas Szommer, Nick Lynch, David D. L. Minh, Van Ngoc Thuy La, Lulu Kang, Kate Huddleston, Ryan Renslow, Mallory Tollefson, W. Patrick Walters, Cynthia Xu, Jonny Hsu, Julien St-Laurent, Honore Etsmoberg, Lu Zhu, Andrew Quirke, Mohamed Iliyas Abdul Haleem, Irfan Alibay, Gunjan Baid, Benjamin Birnbaum, Kevin P. Bishop, Hugo-Javier Bohórquez, Ashmita Bose, C. J. Brown, Jackson W. Burns, Lianjin Cai, Ruel Cedeno, Stephane de Cesco, Vladimir I. Chupakhin, Finlay Clark, Daniel J. Cole, Carles Corbi-Verge, Muhammad Danial, Alec Davi, Wim Dehaen, Niklas Piet Doering, Alexis Dougha, Marie-Pierre Dréanic, Bryce Eakin, Anatol Ehrlich, Rokas Elijosius, Jozef Fülöp, Anthony Gitter, Kenneth Goossens, Yaowen Gu, Teresa Head-Gordon, Laurent Hoffer, Johan Hofmans, Ellena Jiang, Benjamin Kaminow, Sina Khosravi, Asma Feriel Khoualdi, Eelke B. Lenselink, Zhirong Liu, Yue Liu, Sijie Liu, Yizhou Ma, Patrick Maher, Imke Mayer, Oscar Mendez-Lucio, Antonia S. J. S. Mey, Julien Michel, Floriane Montanari, Taoyu Niu, Ryusei Ogino, Ashok Palaniappan, Xiaolin Pan, Auro Patnaik, Long-Hung Dinh Pham, Luis Pinto, Justin Purnomo, Alex Rich, Lars L. Schaaf, Christoph Schran, Rajeev Kumar Singh, Mounika Srilakshmi, Satya Pratik Srivastava, Kunyang Sun, Zhaoxi Sun, Valerij Talagayev, Balamurugan Thirukonda Subramanian Balakrishnan, Ida Titus, Alexandre Tkatchenko, Wojtek Treyde, Giovanni Tricarico, Austin Tripp, Nopsinth Vithayapalert, Yingze Wang, Azmine Toushik Wasi, Steffen Wedig, Gerhard Wolber, Bofei Xu, Weijun Zhou, Frank von Delft, Alpha Lee, Karla Kirkegaard, Peter Sjö, James S. Fraser, John D. Chodera
2026 J jnl
Progressive Curriculum Learning With Teacher-Student Collaboration for Source-Free Unsupervised Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Qing Tian, Junyu Shen, Lulu Kang, Weihua Ou, Jun Wan, Zhen Lei
2025 J jnl
Accelerating Particle-based Energetic Variational Inference.
CoRR
Xuelian Bao, Lulu Kang, Chun Liu, Yiwei Wang
2025 J jnl
Active Learning for Manifold Gaussian Process Regression.
CoRR
Yuanxing Cheng, Lulu Kang, Yiwei Wang, Chun Liu
2025 J jnl
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input.
CoRR
Lulu Kang, Minshen Xu
2025 — conf
Robust Analysis for Resilient AI System.
ICDM (Workshops)
Yu Wang, Ran Jin, Lulu Kang
2025 J jnl
Robust Analysis for Resilient AI System.
CoRR
Yu Wang, Ran Jin, Lulu Kang
2025 J jnl
Source-Free Unsupervised Domain Adaptation through Trust-Guided Partitioning and Worst-Case Aligning.
Knowl. Based Syst.
Qing Tian, Lulu Kang
2024 J jnl
Active domain adaptation with mining diverse knowledge: An updated class consensus dictionary approach.
Inf. Sci.
Qing Tian, Liangyu Zhou, Yanan Zhu, Lulu Kang
2024 Misc conf
Energetic Variational Gaussian Process Regression.
WSC
Lulu Kang, Yuanxing Cheng, Yiwei Wang, Chun Liu
2024 A* conf
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency.
AAAI
Parian Haghighat, Denisa Gándara, Lulu Kang, Hadis Anahideh
2024 J jnl
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency.
CoRR
Parian Haghighat, Denisa Gandara, Lulu Kang, Hadis Anahideh
2022 J jnl
A generative approach to modeling data with quantitative and qualitative responses.
J. Multivar. Anal.
Xiaoning Kang, Lulu Kang, Wei Chen, Xinwei Deng
2022 J jnl
Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence.
Technometrics
Qiong Zhang, Lulu Kang
2021 J jnl
Gaussian Process Assisted Active Learning of Physical Laws.
Technometrics
Jiuhai Chen, Lulu Kang, Guang Lin
2021 J jnl
Low-Discrepancy Points via Energetic Variational Inference.
CoRR
Yindong Chen, Yiwei Wang, Lulu Kang, Chun Liu
2021 J jnl
Particle-based energetic variational inference.
Stat. Comput.
Yiwei Wang, Jiuhai Chen, Chun Liu, Lulu Kang
2020 J jnl
Additive Heredity Model for the Analysis of Mixture-of-Mixtures Experiments.
Technometrics
Sumin Shen, Lulu Kang, Xinwei Deng
2020 J jnl
Particle-based Energetic Variational Inference.
CoRR
Yiwei Wang, Jiuhai Chen, Lulu Kang, Chun Liu
2016 J jnl
Comparing the Slack-Variable Mixture Model With Other Alternatives.
Technometrics
Lulu Kang, Javier Cruz Salgado, William A. Brenneman
2016 J jnl
Kernel Approximation: From Regression to Interpolation.
SIAM/ASA J. Uncertain. Quantification
Lulu Kang, V. Roshan Joseph
2011 J jnl
Design and Modeling Strategies for Mixture-of-Mixtures Experiments.
Technometrics
Lulu Kang, V. Roshan Joseph, William A. Brenneman
2011 J jnl
Product defect rate confidence bound with attribute and variable data.
Qual. Reliab. Eng. Int.
Lulu Kang, William A. Brenneman
2011 J jnl
Regression-Based Inverse Distance Weighting With Applications to Computer Experiments.
Technometrics
V. Roshan Joseph, Lulu Kang
2010 — —
Computer and physical experiments: design, modeling, and multivariate interpolation.
Lulu Kang
2009 J jnl
Bayesian Optimal Single Arrays for Robust Parameter Design.
Technometrics
Lulu Kang, V. Roshan Joseph