FanLens: A Visual Toolkit for Dynamically Exploring the Distribution of Hierarchical Attributes. - Xinghua Lou; Shixia Liu; Tianshu Wang (PacificVis, 2008)

Deuteration distribution estimation with improved sequence coverage for HX/MS experiments. - Xinghua Lou; Marc Kirchner; Bernhard Y. Renard; Ullrich Köthe; Sebastian Boppel; Christian Graf 002; Chung-Tien Lee; Judith A. J. Steen; Hanno Steen; Matthias P. Mayer; Fred A. Hamprecht (Bioinform., 2010)

Deltr: Digital embryo lineage tree reconstructor. - Xinghua Lou; Frederik O. Kaster; Martin S. Lindner; Bernhard X. Kausler; Ullrich Köthe; Burkhard Hockendorf; Jochen Wittbrodt; Heike Jänicke; Fred A. Hamprecht (ISBI, 2011)

Structured Learning for Cell Tracking. - Xinghua Lou; Fred A. Hamprecht (NIPS, 2011)

Biomedical Data Analysis with Prior Knowledge : Modeling and Learning - Xinghua Lou (2011)

Learning to segment dense cell nuclei with shape prior. - Xinghua Lou; Ullrich Köthe; Jochen Wittbrodt; Fred A. Hamprecht (CVPR, 2012)

Structured Learning from Partial Annotations. - Xinghua Lou; Fred A. Hamprecht (ICML, 2012)

Quality Classification of Microscopic Imagery with Weakly Supervised Learning. - Xinghua Lou; Luca Fiaschi; Ullrich Köthe; Fred A. Hamprecht (MLMI, 2012)

Visualization Software for 3D Video Microscopy: A Design Study. - Heike Leitte; Jens Fangerau; Xinghua Lou; Burkhard Höckendorf; Steffen Lemke 002; Alexis Maizel; Jochen Wittbrodt (EuroVis (Short Papers), 2012)

An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes. - Katherine Redfield Chan; Xinghua Lou; Theofanis Karaletsos; Christopher Crosbie; Stuart M. Gardos; David Artz; Gunnar Rätsch (ICDM Workshops, 2013)

GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images. - Christian Widmer; Philipp Drewe; Xinghua Lou; Shefali Umrania; Stephanie Heinrich; Gunnar Rätsch (CoRR, 2013)

Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. - Christian Widmer; Marius Kloft; Xinghua Lou; Gunnar Rätsch (Künstliche Intell., 2014)

Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability. - Xinghua Lou; Martin Schiegg; Fred A. Hamprecht (IEEE Trans. Medical Imaging, 2014)

Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. - Xinghua Lou; Ken Kansky; Wolfgang Lehrach; C. C. Laan; Bhaskara Marthi; D. Scott Phoenix; Dileep George (NIPS, 2016)

Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. - Ken Kansky; Tom Silver; David A. Mély; Mohamed Eldawy; Miguel Lázaro-Gredilla; Xinghua Lou; Nimrod Dorfman; Szymon Sidor; D. Scott Phoenix; Dileep George (ICML, 2017)

PushWorld: A benchmark for manipulation planning with tools and movable obstacles. - Ken Kansky; Skanda Vaidyanath; Scott Swingle; Xinghua Lou; Miguel Lázaro-Gredilla; Dileep George (CoRR, 2023)

Model Predictive Simulation Using Structured Graphical Models and Transformers. - Xinghua Lou; Meet Dave; Shrinu Kushagra; Miguel Lázaro-Gredilla; Kevin Murphy (CoRR, 2024)

Improving Transformer World Models for Data-Efficient RL. - Antoine Dedieu; Joseph Ortiz; Xinghua Lou; Carter Wendelken; Wolfgang Lehrach; J. Swaroop Guntupalli; Miguel Lázaro-Gredilla; Kevin Patrick Murphy (CoRR, 2025)