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layout: about title: About permalink: /
profile: align: right image: prof_pic.jpg more_info: > <p>Ph.D. Candidate</p> <p>Email: wang at tamu.edu</p> <p>Office: Peterson Building 342</p>
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” services: true social: true # includes social icons at the bottom of the page —
Howdy!
I’m a Ph.D. student in the Department of Computer Science and Engineering at Texas A&M University, and I’m a member of the InfoLab advised by Prof. James Caverlee since 2020.
I received my Bachelor’s degree in Computer Science and Engineering from The Ohio State University. I have worked at AGI Foundational Models @ Amazon, Alexa Shopping Research @ Amazon, the SSC Research Group @ TAMU, the NLP Group @ TAMU, the Reliability and Risk Laboratory @ OSU on various projects.
My research interests are Natural Language Understanding and Generation, Faithfulness and Factual Correctness of the Generation, Unsupervised/Self-supervised Learning, and AI Applications. My recent research focuses on:
- Data-efficient self-supervised / unsupervised learning methods for better NLU and NLG (ACL2023-OutstandingPaper, EMNLP2023-Findings)
- Compute-efficient decoding algorithms for training cost reduction, inference speed improvement, and faithfulness/factuality improvement of LLM’s generation (two papers in preparation)
555 your office number
123 your address street
Your City, State 12345
layout: about title: About permalink: /
profile: align: right image: prof_pic.jpg more_info: > <p>Ph.D. Candidate</p> <p>Email: wang at tamu.edu</p> <p>Office: Peterson Building 342</p>
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” services: true social: true # includes social icons at the bottom of the page —
Howdy!
I’m a Ph.D. student in the Department of Computer Science and Engineering at Texas A&M University, and I’m a member of the InfoLab advised by Prof. James Caverlee since 2020.
I received my Bachelor’s degree in Computer Science and Engineering from The Ohio State University. I have worked at AGI Foundational Models @ Amazon, Alexa Shopping Research @ Amazon, the SSC Research Group @ TAMU, the NLP Group @ TAMU, the Reliability and Risk Laboratory @ OSU on various projects.
My research interests are Natural Language Understanding and Generation, Faithfulness and Factual Correctness of the Generation, Unsupervised/Self-supervised Learning, and AI Applications. My recent research focuses on:
- Data-efficient self-supervised / unsupervised learning methods for better NLU and NLG (ACL2023-OutstandingPaper, EMNLP2023-Findings)
- Compute-efficient decoding algorithms for training cost reduction, inference speed improvement, and faithfulness/factuality improvement of LLM’s generation (two papers in preparation)