Jason Zhi Liang
Email: jasonzliang@utexas.edu
CV Github

I am a second year computer science graduate student at UT Austin. My general research interests are deep learning, evolutionary computation, meta-learning, neural networks, and reinforcement learning.
My current research is about metaevolution, the use of evolutionary algorithms to tune the parameters of other evolutionary algorithms. For more about metaevolution and its applications to solving difficult real world control problems, see the following paper that I wrote.


[1] Miscellaneous machine learning related assignments
Source Code: https://github.com/jasonzliang/scalableMLAssignments
[2] Stacked denoising autoencoders (Deep Learning), trained using SGD and genetic algorithms
Source Code: https://github.com/jasonzliang/autoencoder
Report: http://users.ices.utexas.edu/~keith/files/autoencoder/final_report/autoencoder.pdf


[1] Liang, Jason Zhi, et al. "Image Based Localization in Indoor Environments." Computing for Geospatial Research and Application (COM. Geo), 2013 Fourth International Conference on. IEEE, 2013. c Link: http://www-video.eecs.berkeley.edu/papers/jasonzliang/latest.pdf
[2] Liang, Jason Zhi, et al. "Reduced-complexity data acquisition system for image-based localization in indoor environments." Indoor Positioning and Indoor Navigation (IPIN), 2013 International Conference on. IEEE, 2013.
Link: http://www-video.eecs.berkeley.edu/papers/jasonzliang/indoor_localization_paper_20131021.pdf
[3] Liang, Jason Zhi, et al. "Image-Based Positioning of Mobile Devices in Indoor Environments." Multimodal Location Estimation, Sprinter Gerald Friedland, Ed (2014).
Link: http://www-video.eecs.berkeley.edu/papers/jasonzliang/multimodal_location_estimation.pdf
[4] Liang, Jason Zhi, and Risto Miikkulainen. "Evolutionary Bilevel Optimization for Complex Control Tasks." Accepted to AAAI-15 Workshop on Algorithm Configuration. 2015.
Link: https://www.cs.utexas.edu/~jliang/metaevolution.pdf