Enhancing productivity with back-end similarity matching of digital circuits for IP reuse. - Kevin Zeng; Peter Athanas (ReConFig, 2013)

Discovering Reusable Hardware Using Birthmarking Techniques. - Kevin Zeng; Peter M. Athanas (IRI, 2015)

A q-gram birthmarking approach to predicting reusable hardware. - Kevin Zeng; Peter M. Athanas (DATE, 2016)

An Exploration of Circuit Similarity for Discovering and Predicting Reusable Hardware. - Kevin Zeng (2016)

LinkBlaze: Efficient global data movement for FPGAs. - Pongstorn Maidee; Alireza Kaviani; Kevin Zeng (ReConFig, 2017)

Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics. - Kevin Zeng; Michael D. Graham (CoRR, 2021)

Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning. - Kevin Zeng; Alec J. Linot; Michael D. Graham (CoRR, 2022)

Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning. - Alec J. Linot; Kevin Zeng; Michael D. Graham (CoRR, 2023)

Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems. - Kevin Zeng; Michael D. Graham (CoRR, 2023)

Brain Hemorrhage CT Image Detection and Classification using Deep Learning Methods. - Kevin Haowen Wu; Kevin Zeng; Mikhail Y. Shalaginov; Tingying Helen Zeng (BIBM, 2024)