I am a PhD student in the department of Computing Science and Engineering at University of South Carolina and working under the supervision of Prof. Qi Zhang in the AI Institute. My research interest is to utilize the power of language to enhance the capability of reinforcemnet-learning agents.
Previously, I did some work on self-adaptive system, multi-objective optimization and detection of adversarial examples with Prof. Pooyan Jamshidi and Prof. Qiang Zeng at University of South Carolina. Before joining the PhD program, I obtained a M.S. degree in Computer Science from Michigan Technological University in 2014, and then worked as a software engineer for Intel Security and (later) Synopsys. During my study at Michigan Tech, I worked with Prof. Timothy Havens on the fuzzy clustering of social networks.
news
| Dec 7, 2023 | Our paper, From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges, gets accepted to AAAI’24 bridge program on Artificial Intelligence (AI) for Design. |
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| Oct 25, 2023 | Our paper, Subgoal Proposition Using A Vision-Language Model, gets accepted to the 2nd LangRob workshop at CoRL 2023. |
| Mar 10, 2023 | Our paper, FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks gets accepted to the Journal of Artificial Intelligence Research. |
| Oct 30, 2022 | Presented an in-progress research work (Connect the Goal and the State Using Language For an RL agent) at AIISC’s 1st Retreat |
| Oct 17, 2022 | Invited as a reviewer for NeurIPS 2022 Deep RL Workshop |