Wayne Chi
Computer Science Ph.D. Student at Carnegie Mellon University
Previously, Applied Scientist at Amazon and NASA JPL
waynechi[AT]cs[DOT]cmu[DOT]edu
Gates Hillman Centers 7121
Hi, my name is Wayne. I am a first year Ph.D. Student in the Computer Science Department at CMU advised by Chris Donahue and Ameet Talwalkar.
My research interests are broadly in the application of machine learning for creativity. Topics I’m interested in include (but are not limited to):
- Improved controllability for generative models
- Automated game design / development
- Language Models as Agents
- Efficient adaptation of foundational models
- Attribution and unlearning
I completed my undergraduate and master’s at the University of Southern California. Before starting my Ph.D., I spent around 7 years in industry working as an Applied Scientist at AWS (2019-2023) and NASA’s Jet Propulsion Laboratory (2016-2019). If you are interested in any of my research topics or considering a Ph.D. after industry feel free to reach out.
news
Aug 28, 2023 | Started my Ph.D. at CMU! |
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selected publications
2021
- AAAISymbolic music generation with transformer-gansIn AAAI conference on artificial intelligence, 2021
2020
- ICAPSScheduling with complex consumptive resources for a planetary roverIn International Conference on Automated Planning and Scheduling, 2020
- ISMIRGenerating Music with a Self-Correcting Non-Chronological Autoregressive ModelInternational Society for Music Information Retrieval, 2020
- ICML ML4MDSelf-Correcting Non-Chronological Autoregressive Music GenerationIn ICML 2020 Workshop, Machine Learning for Music Discovery (ML4MD), 2020
2019
- ICAPSOptimizing parameters for uncertain execution and rescheduling robustnessIn International Conference on Automated Planning and Scheduling, 2019
2018
- ICAPSEmbedding a Scheduler in Execution for a Planetary RoverIn International Conference on Automated Planning and Scheduling, 2018
- ICAPSUsing Squeaky Wheel Optimization to Derive Problem Specific Control Information for a One Shot Scheduler for a Planetary RoverIn International Conference on Automated Planning and Scheduling, 2018