Short Bio
I received Ph.D. degree of Computer Science at Texas A&M University, advised by Dr. Xia Ben Hu. My research interests are Multi-Agent System, Retrieval Augmentated Generation, Recommendation Systems, Hyperparameter Optimization, Neural Architecture Search, and Distribution System.
- I currently work in Microsoft as a machine learning engineer since Jan. 2023, focusing on multi-agent and retrieval augmentated generation (RAG).
- I was an Applied Scientist Intern at Amazon in Fall 2021, working on automated video generation for video ads with Dr. Chu Wang.
- I was a Research Intern at Microsoft in Summer 2021, working on constrained hyperparameter optimization with Dr. Chi Wang.
Before that, I obtained M.S. degree in Computer Science and Information Engineering at National Taiwan University (NTU) in 2015. My advisor was Dr. Shih-Hao Hung.
Professional Acitivities
Workship Presenter: KDD AutoML 2022
Conference Reviewer: CIKM 2022, KDD 2022, ICLR 2021, WebConf 2021, ICLR 2020, SDM 2020, KDD 2019, BigData 2018
News
One preprint paper - Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks available in arXiv.
One workshop paper - ACE accepted by SIGKDD AutoML 2022.
One demo paper - BED accepted by CIKM 2022.
One demo paper - AutoVideo, accepted by IJCAI 2022.
One research survey accepted by ACM SIGKDD Explorations Newsletter 2021.
One research article accepted by Frontiers in Big Data 2020.
One paper is accepted by RACS 2016.
Awards
Top Performance Award, Microsoft, 2023.
Scholarship Award, North America Taiwanese Engineering & Science Association (NATEA), Dallas Chapter, 2022.
Travel Grant Award, Computer Science and Engineering, Texas A&M University, 2022.
Travel Grant Award, Young Scholar Program, North America Taiwanese Professors' Association (NATPA) , 2022.
Excellent Name Award, Houston Youth Future Incubator-HYFI, Overseas Youth Base, Overseas Community Affairs Council of Taiwan, 2022.
Leadership and Community Service Scholarship, JCCAA , 2021.