Using a utility computing framework to develop utility systems. - Tamar Eilam; Karen Appleby; Jochen Breh; Gerd Breiter; Harald Daur; Sameh A. Fakhouri; Guerney D. H. Hunt; Tan Lu; Sandra D. Miller; Lily B. Mummert; John A. Pershing; Hendrik Wagner (IBM Syst. J., 2004)

Robust Locally Linear Embedding and Application in High Dimensional Data. - Tan Lu (ICNC (1), 2009)

Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers - Tan Lu; Minghua Chen (CoRR, 2011)

Simple and effective dynamic provisioning for power-proportional data centers. - Tan Lu; Minghua Chen 001 (CISS, 2012)

Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers. - Tan Lu; Minghua Chen 001; Lachlan L. H. Andrew (IEEE Trans. Parallel Distributed Syst., 2013)

Towards Physical Distortion Identification and Removal in Document Images. - Tan Lu; Ann Dooms (EUVIP, 2018)

A Deep Transfer Learning Approach to Document Image Quality Assessment. - Tan Lu; Ann Dooms (ICDAR, 2019)

A Novel Contractive GAN Model for a Unified Approach Towards Blind Quality Assessment of Images from Heterogeneous Sources. - Tan Lu; Ann Dooms (ISVC (1), 2020)

Probabilistic homogeneity for document image segmentation. - Tan Lu; Ann Dooms (Pattern Recognit., 2021)

Bayesian damage recognition in document images based on a joint global and local homogeneity model. - Tan Lu; Ann Dooms (Pattern Recognit., 2021)

Table representation learning using heterogeneous graph embedding. - Willy Carlos Tchuitcheu; Tan Lu; Ann Dooms (Pattern Recognit., 2024)