Hi! I am a
Postdoctoral Scholar at Stanford University
Shah Lab. I received my Ph.D. in
Computer Science and Informatics at
Emory University, advised by
Prof. Carl Yang. I have also been working closely with
Prof. Joyce C Ho on healthcare applications. In the past summers, I interned at Microsoft Research and Amazon Science.
Research Interests: My research focuses on large language model (LLM) evaluation and adaptation for healthcare. I am open to discussing research ideas and seeking academic collaborations. Drop me an email if interested!
Previously, I got my bachelor’s degree (Valedictorian, GPA Ranking: 1/164) in
Software Engineering at
Tongji University. During my undergraduate, I worked on computer vision for medical imaging with
Prof. Lin Zhang. In addition, I worked with
Prof. Tianwei Yu on machine learning for bioinformatics. I also spent a wonderful summer at
Prof. Gabor Fichtinger‘s
Perk Lab at the School of Computing, Queen’s University in Kingston, Canada through the
Mitacs program.
News
- [2024.09] Our work on clinician preference aligned synthetic instruction generation for visual instruction tuning is accepted to
NeurIPS'24 Datasets and Benchmarks Track.
- [2024.09] Our work on network recall by large language models is accepted to
NeurIPS'24 Research Track. Abstract version is presented on
IC2S2'24 as an Oral.
- [2024.06] Our work on multi-agent LLM reasoning for EHR-based few-shot disease prediction is accepted to
AMIA Annual Symposium.
- [2024.05] Our work on disease subtyping is accepted to
KDD Applied Data Science Track.
- [2024.04] My PhD Work is selected to the
CHIL Doctoral Symposium. Thank you CHIL!
- [2024.04] I successfully defended my dissertation. Officially, Dr. Cui!
- [2024.03] Our survey paper on LLM domain specialization is cited by the
2024 Economic Report of the President!
- [2023.12] Glad to received NSF Student Travel Support Award for the ICDM 2023.
- [2023.09] Our paper on artificial node features on non-attributed graphs has been selected as Most Influential CIKM Papers produced by
Best Paper Digest.
- [2023.09] One work on visual knowledge extraction is accepted to
NeurIPS'23.
- [2023.09] Two work are accepted to
PSB'24. Congrats to Alexis (High-Schooler)!
- [2023.08] Humbled to be selected as a
Rising Star in EECS!
- [2023.05] One work on biological data augmentation is accepted to
KDD'23.
- [2023.05] One work on multimodal extraction is accepted to
ACL'23 Findings.
- [2023.04] Our work on brain network pre-training is accepted to
CHIL'23 as an Oral.
- [2022.11] Our paper on few-shot learning is accepted to
AAAI'23 as an Oral.
- [2022.11] Glad to receive
NeurIPS AI4Science Travel Award!
- [2022.10] Our Benchmark paper on Graph Neural Networks for brain networks has now been officially accepted to
IEEE TMI.
- [2022.09] Our paper on brain transformer is accepted to
NeurIPS'22 as an Spotlight.
- [2022.08] One paper on node feature for non-attributed graphs is accepted to
CIKM'22.
- [2022.06] One paper on interpretable GNNs is accepted to
MICCAI'22 as an Oral.
Interests
- AI for Healthcare
- Large (Vision) Language Models
- Data Mining and Data Science
Education
Ph.D. in Computer Science, 2019-now
Emory University
B.Eng. in Software Engineering, 2015-2019
Tongji University