Cortical processing of temporal modulations. - Xiaoqin Wang; Thomas Lu; Li Liang (Speech Commun., 2003)

Rapid 360 degree imaging and stitching of 3D objects using multiple precision 3D cameras. - Thomas Lu; Stuart Yin; Jianzhong Zhang; Jiangan Li; Frank Wu (Three-Dimensional Image Capture and Applications, 2008)

Intelligent noncontact surgeon-computer interface using hand gesture recognition. - Michael Zhao; Andreas Nowatzyk; Thomas Lu; Daniel L. Farkas (Three-Dimensional Image Capture and Applications, 2008)

360-degree visual detection and target tracking on an autonomous surface vehicle. - Michael T. Wolf; Christopher Assad; Yoshiaki Kuwata; Andrew Howard; Hrand Aghazarian; David Zhu; Thomas Lu; Ashitey Trebi-Ollennu; Terry Huntsberger (J. Field Robotics, 2010)

Integration of the self-healing eDNA architecture in a liquid crystal waveguide-based Fourier Transform Spectrometer. - Michael Reibel Boesen; Didier Keymeulen; Jan Madsen; Thomas Lu; Tien-Hsin Chao (AHS, 2011)

An integrated vestibular-cochlear prosthesis for restoring balance and hearing. - Thomas Lu; Hamid Djalilian; Fan-Gang Zeng; Hongbin Chen; Xiaoan Sun (EMBC, 2011)

Optimizing feature selection strategy for adaptive object identification in noisy environment. - Sagar Pandya; Thomas Lu; Tien-Hsin Chao (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2013)

Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks. - Kyongsik Yun; Jessi Bustos; Thomas Lu (IRIACV, 2018)

Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model. - Kyongsik Yun; Joseph Osborne; Madison Lee; Thomas Lu; Edward Chow (CoRR, 2018)

Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks. - Kyongsik Yun; Thomas Lu; Edward Chow (CoRR, 2018)

Deep Neural Networks for Pattern Recognition. - Kyongsik Yun; Alexander Huyen; Thomas Lu (CoRR, 2018)

Representing spatial relations with fractional binding. - Thomas Lu; Aaron Voelker; Brent Komer; Chris Eliasmith (CogSci, 2019)

Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation. - Kyongsik Yun; Luan Nguyen; Tuan Nguyen; Doyoung Kim; Sarah Eldin; Alexander Huyen; Thomas Lu; Edward Chow (CoRR, 2019)

Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks. - Kyongsik Yun; Kevin Yu; Joseph Osborne; Sarah Eldin; Luan Nguyen; Alexander Huyen; Thomas Lu (CoRR, 2019)

Transforming unstructured voice and text data into insight for paramedic emergency service using recurrent and convolutional neural networks. - Kyongsik Yun; Thomas Lu; Alexander Huyen (CoRR, 2020)

Learned Incremental Representations for Parsing. - Nikita Kitaev; Thomas Lu; Dan Klein 001 (ACL (1), 2022)

Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations. - Daniel Lundström; Alexander Huyen; Arya Mevada; Kyongsik Yun; Thomas Lu (CoRR, 2022)

Neurosymbolic hybrid approach to driver collision warning. - Kyongsik Yun; Thomas Lu; Alexander Huyen; Patrick Hammer; Pei Wang 002 (CoRR, 2022)

Material Prediction for Design Automation Using Graph Representation Learning. - Shijie Bian; Daniele Grandi; Kaveh Hassani; Elliot Sadler; Bodia Borijin; Axel Fernandes; Andrew Wang; Thomas Lu; Richard Otis; Nhut Ho; Bingbing Li (CoRR, 2022)

Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley. - Kyongsik Yun; Kyra Adams; John T. Reager; Zhen Liu; Caitlyn Chavez; Michael J. Turmon; Thomas Lu (CoRR, 2022)

Supervising Variational Autoencoder Latent Representations with Language. - Thomas Lu; Aboli Marathe; Ada Martin (UniReps, 2023)

Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction. - Thomas Lu; Albert Lu; Hiu Yung Wong (CoRR, 2023)

AI-assisted coding: Experiments with GPT-4. - Russell A. Poldrack; Thomas Lu; Gasper Begus (CoRR, 2023)

Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks. - Gasper Begus; Thomas Lu; Zili Wang 004 (CoRR, 2023)

CiwaGAN: Articulatory information exchange. - Gasper Begus; Thomas Lu; Alan Zhou; Peter Wu; Gopala Krishna Anumanchipalli (CoRR, 2023)

HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design. - Shijie Bian; Daniele Grandi; Tianyang Liu; Pradeep Kumar Jayaraman; Karl D. D. Willis; Elliot Sadler; Bodia Borijin; Thomas Lu; Richard Otis; Nhut Ho; Bingbing Li (J. Comput. Inf. Sci. Eng., 2024)

Active Learning of Symbolic NetKAT Automata. - Mark Moeller; Tiago Ferreira 001; Thomas Lu; Nate Foster; Alexandra Silva 001 (Proc. ACM Program. Lang., 2025)

LeanTutor: A Formally-Verified AI Tutor for Mathematical Proofs. - Manooshree Patel; Rayna Bhattacharyya; Thomas Lu; Arnav Mehta; Niels Voss; Narges Norouzi; Gireeja Ranade (CoRR, 2025)