Scholar
Wei Jin
Google Scholar ID: eWow24EAAAAJ
Assistant Professor, Emory University
Citations & Impact
Citations
6,066
H-index
32
i10-index
48
Publications
20
Co-authors
38
list available
Publications
Resume (English only)
Academic Achievements
- Notable accomplishments: NIH R01 Award, INNS Doctoral Dissertation Runner-up Award, KAUST Rising Stars in AI, AAAI New Faculty Highlights, Snap Research Fellowship, Most Influential Papers in KDD and WWW by PaperDigest, top finishes in three NeurIPS competitions
- Organizer, (senior) PC member, and reviewer for multiple international conferences and journals such as ICLR, KDD, ICML, NeurIPS, AISTATS, AAAI, IJCAI, WWW, WSDM, CIKM, TPAMI, TKDE, TKDD, and TNNLS
- Publications: High-Dimensional Time Series Forecasting, EpiLearn: A Python Library for Machine Learning in Epidemic Modeling, DeepRobust: A Platform for Adversarial Attacks and Defenses, DANCE: A Deep Learning Library and Benchmark for Single-Cell Analysis, etc.
Research Experience
- Currently an Assistant Professor at Emory University, actively seeking highly-motivated students for Ph.D. or Research Intern positions. Research areas include Graph Neural Networks, Time-Series Analysis, AI for Epidemiology, etc.
Education
- Ph.D. from Michigan State University in 2023, supervised by Prof. Jiliang Tang
- B.E. degree from Zhejiang University in 2019
Background
- Research Interests: Graph Neural Networks, Time-Series Analysis (e.g., Forecasting and Classification), AI for Epidemiology, Science and Healthcare, Machine Learning Robustness and Interpretability, Large Language Models (LLMs)
- Brief: Assistant Professor in the Department of Computer Science at Emory University, with a secondary appointment in the Department of Biostatistics and Bioinformatics.
Miscellany
- Personal interests: Not specifically mentioned
