Xinghua Lou

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 6

Top Topics

Structured Learning

Causal Inference

Top Venues

IEEE Trans. Medical Imaging

Publications

Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lázaro-Gredilla, Kevin Murphy
Model Predictive Simulation Using Structured Graphical Models and Transformers. CoRR (2024)
Ken Kansky, Skanda Vaidyanath, Scott Swingle, Xinghua Lou, Miguel Lázaro-Gredilla, Dileep George
PushWorld: A benchmark for manipulation planning with tools and movable obstacles. CoRR (2023)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. ICML (2017)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. CoRR (2017)
Xinghua Lou, Ken Kansky, Wolfgang Lehrach, C. C. Laan, Bhaskara Marthi, D. Scott Phoenix, Dileep George
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. NIPS (2016)
Xinghua Lou, Ken Kansky, Wolfgang Lehrach, C. C. Laan, Bhaskara Marthi, D. Scott Phoenix, Dileep George
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. CoRR (2016)
Xinghua Lou, Martin Schiegg, Fred A. Hamprecht
Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability. IEEE Trans. Medical Imaging 33 (4) (2014)
Christian Widmer, Marius Kloft, Xinghua Lou, Gunnar Rätsch
Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. Künstliche Intell. 28 (1) (2014)
Christian Widmer, Philipp Drewe, Xinghua Lou, Shefali Umrania, Stephanie Heinrich, Gunnar Rätsch
GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images. CoRR (2013)
Katherine Redfield Chan, Xinghua Lou, Theofanis Karaletsos, Christopher Crosbie, Stuart M. Gardos, David Artz, Gunnar Rätsch
An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes. ICDM Workshops (2013)
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt, Fred A. Hamprecht
Learning to segment dense cell nuclei with shape prior. CVPR (2012)
Xinghua Lou, Fred A. Hamprecht
Structured Learning from Partial Annotations. ICML (2012)
Heike Leitte, Jens Fangerau, Xinghua Lou, Burkhard Höckendorf, Steffen Lemke, Alexis Maizel, Jochen Wittbrodt
Visualization Software for 3D Video Microscopy: A Design Study. EuroVis (Short Papers) (2012)
Xinghua Lou, Luca Fiaschi, Ullrich Köthe, Fred A. Hamprecht
Quality Classification of Microscopic Imagery with Weakly Supervised Learning. MLMI (2012)
Xinghua Lou, Fred A. Hamprecht
Structured Learning for Cell Tracking. NIPS (2011)
Xinghua Lou, Frederik O. Kaster, Martin S. Lindner, Bernhard X. Kausler, Ullrich Köthe, Burkhard Hockendorf, Jochen Wittbrodt, Heike Jänicke, Fred A. Hamprecht
Deltr: Digital embryo lineage tree reconstructor. ISBI (2011)
Xinghua Lou, Marc Kirchner, Bernhard Y. Renard, Ullrich Köthe, Sebastian Boppel, Christian Graf, Chung-Tien Lee, Judith A. J. Steen, Hanno Steen, Matthias P. Mayer, Fred A. Hamprecht
Deuteration distribution estimation with improved sequence coverage for HX/MS experiments. Bioinform. 26 (12) (2010)
Xinghua Lou, Shixia Liu, Tianshu Wang
FanLens: A Visual Toolkit for Dynamically Exploring the Distribution of Hierarchical Attributes. PacificVis (2008)