| 2025 | ACSSC | Decentralized Q-Learning for Emitter Localization with Consensus Policy Selection. | Christopher Peters, Mitchell A. Thornton, Eric C. Larson |
| 2025 | COMPSAC | Effects of Redundant LiDAR Sensors on Object Hiding Attacks in Autonomous Driving Systems. | Matthew Lee, William Flinchbaugh, Eric C. Larson, Mitchell A. Thornton |
| 2025 | ICASSP | A Unified Model for Oral Reading Fluency and Student Prosody. | Yihao Wang, Zhongdi Wu, Joseph Nese, Akihito Kamata, Vedant Nilabh, Eric C. Larson |
| 2024 | ICASSP | Learnable Statistical Moments Pooling for Automatic Modulation Classification. | Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson |
| 2024 | ICASSP | Improving Oral Reading Fluency Assessment Through Sub-Sequence Matching of Acoustic Word Embeddings. | Yihao Wang, Zhongdi Wu, Joseph Nese, Akihito Kamata, Vedant Nilabh, Eric C. Larson |
| 2023 | ACSSC | Radiation Anomaly Detection Using an Adversarial Autoencoder. | Charles Sayre, Eric C. Larson, Gabs DiLiegro, Joseph Camp, Bruce Gnade |
| 2022 | ICASSP | Automated Prosody Classification for Oral Reading Fluency with Quadratic Kappa Loss and Attentive X-Vectors. | George Sammit, Zhongjie Wu, Yihao Wang, Zhongdi Wu, Akihito Kamata, Joseph Nese, Eric C. Larson |
| 2022 | ICISSP | Side Channel Identification using Granger Time Series Clustering with Applications to Control Systems. | Matthew Lee, Joshua Sylvester, Sunjoli Aggarwal, Aviraj Sinha, Michael A. Taylor, Nathan Srirama, Eric C. Larson, Mitchell A. Thornton |
| 2021 | ACSSC | SNR-Boosted Automatic Modulation Classification. | Clayton A. Harper, Aviraj Sinha, Mitchell A. Thornton, Eric C. Larson |
| 2021 | ICASSP | Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks. | Luke Wood, Eric C. Larson |
| 2020 | ACSSC | Enhanced Automatic Modulation Classification using Deep Convolutional Latent Space Pooling. | Clayton A. Harper, Lauren Lyons, Mitchell A. Thornton, Eric C. Larson |
| 2019 | EDM | Why Deep Knowledge Tracing has less Depth than Anticipated. | Xinyi Ding, Eric C. Larson |
| 2019 | ICASSP | Relationships between Deep Learning and Linear Adaptive Systems. | Scott C. Douglas, Eric C. Larson |
| 2016 | CHI | SpiroCall: Measuring Lung Function over a Phone Call. | Mayank Goel, Elliot Saba, Maia Stiber, Eric Whitmire, Josh Fromm, Eric C. Larson, Gaetano Borriello, Shwetak N. Patel |
| 2015 | MASS | Work-in-Progress, PupilWare-M: Cognitive Load Estimation Using Unmodified Smartphone Cameras. | Sohail Rafiqi, Chatchai Wangwiwattana, Ephrem Fernandez, Suku Nair, Eric C. Larson |
| 2015 | PERCOM | DOSE: Detecting user-driven operating states of electronic devices from a single sensing point. | Ke-Yu Chen, Sidhant Gupta, Eric C. Larson, Shwetak N. Patel |
| 2014 | ICIS | The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. | Abhijeet Ghoshal, Eric C. Larson, Ramanath Subramanyam, Michael J. Shaw |
| 2013 | UIST | Good vibrations: an evaluation of vibrotactile impedance matching for low power wearable applications. | Jack Lindsay, Iris Jiang, Eric C. Larson, Richard J. Adams, Shwetak N. Patel, Blake Hannaford |
| 2012 | CHI | The design and evaluation of prototype eco-feedback displays for fixture-level water usage data. | Jon Froehlich, Leah Findlater, Marilyn Ostergren, Solai Ramanathan, Josh Peterson, Inness Wragg, Eric C. Larson, Fabia Fu, Mazhengmin Bai, Shwetak N. Patel, James A. Landay |
| 2011 | CHI | HeatWave: thermal imaging for surface user interaction. | Eric C. Larson, Gabe Cohn, Sidhant Gupta, Xiaofeng Ren, Beverly L. Harrison, Dieter Fox, Shwetak N. Patel |
| 2008 | CEC | Facial feature analysis in dynamic bandwidth environments: A genetic approach. | Eric C. Larson, Gary G. Yen |
| 2008 | ICIP | Can visual fixation patterns improve image fidelity assessment? | Eric C. Larson, Cuong T. Vu, Damon M. Chandler |