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Kevin Zeng
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2020 – today
- 2023
- [i4]Alec J. Linot, Kevin Zeng, Michael D. Graham:
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning. CoRR abs/2301.12098 (2023) - [i3]Kevin Zeng, Michael D. Graham:
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems. CoRR abs/2305.01090 (2023) - 2022
- [i2]Kevin Zeng, Alec J. Linot, Michael D. Graham:
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning. CoRR abs/2205.00579 (2022) - 2021
- [i1]Kevin Zeng, Michael D. Graham:
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics. CoRR abs/2104.05437 (2021)
2010 – 2019
- 2017
- [c4]Pongstorn Maidee
, Alireza Kaviani, Kevin Zeng:
LinkBlaze: Efficient global data movement for FPGAs. ReConFig 2017: 1-8 - 2016
- [b1]Kevin Zeng:
An Exploration of Circuit Similarity for Discovering and Predicting Reusable Hardware. Virginia Tech, Blacksburg, VA, USA, 2016 - [c3]Kevin Zeng, Peter M. Athanas:
A q-gram birthmarking approach to predicting reusable hardware. DATE 2016: 1112-1115 - 2015
- [c2]Kevin Zeng, Peter M. Athanas:
Discovering Reusable Hardware Using Birthmarking Techniques. IRI 2015: 106-113 - 2013
- [c1]Kevin Zeng, Peter Athanas:
Enhancing productivity with back-end similarity matching of digital circuits for IP reuse. ReConFig 2013: 1-6
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