About Me

Hi, my name is Yin Lin (林茵 in Chinese). I am a fifth-year Ph.D. student in the Computer Science and Engineering Department at the University of Michigan, Ann Arbor. I consider myself fortunate to be advised by Dr. H. V. Jagadish. I am a member of the Database group. My current research focuses on data equality systems preventing misuse and misinterpretation of big data.


Prior to joining UM as a Ph.D. student, I got my bachelor's degree from Shanghai Jiao Tong University in 2019.



    What's new!
  • Our paper `` SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions.'' has been accepted in CIDR 2024.

Education

Ph.D. student: Sept. 2019 - present

University of Michigan

Computer Science and Engineering (CSE)


Bachelor: Sept. 2015 - June 2019

Shanghai Jiao Tong University

Computer Science, School of Electronic Information and Electrical Engineering ( CS )

Experience

Reseach Intern: May 2023 - Aug. 2023

Alibaba Group, Data Analytics and Intelligence Lab (DAIL), Damo Academy


Reseach Intern: June 2022 - Aug. 2022

Microsoft Research, Data Management, Exploration and Mining (DMX)


Summer Intern: May 2018 - Jul. 2018

University of Waterloo, Software Architecture Group

Publications

1. Mitigating Subgroup Unfairness in Machine Learning Classifiers: A Data-Driven Approach


Yin Lin, Samika Gupta, H. V. Jagadish

ICDE 2024

2. SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions (pdf)


Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou

CIDR 2024

3. Predicate Pushdown for Data Science Pipelines. (pdf)


Cong Yan, Yin Lin, Yeye He.

SIGMOD 2023 (best paper award)

4. Representation Bias in Data: A Survey on Identification and Resolution Techniques. (pdf)


Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish.

ACM Computing Surveys

5. OREO: Detection of Cherry-picked Generalizations. (pdf)


Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo

VLDB 2022 - Demo

6. On Detecting Cherry-picked Generalizations. (pdf)


Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo

VLDB 2022

7. Identifying Insufficient Data Coverage in Databases with Multiple Relations. (pdf)


Yin Lin, Yifan Guan, Abolfazl Asudeh, H. V. Jagadish

VLDB 2020

8. MithraDetective: A System for Cherry-picked Trendlines Detection. (pdf)


Yoko Nagafuchi, Yin Lin, Kaushal Mamgain, Abolfazl Asudeh, H. V. Jagadish, You (Will) Wu, Cong Yu

CoRR, 2020, Arxiv/2010.08807

9. On Structural vs. Proximity-based Temporal Node Embeddings. (pdf)


Puja Trivedi, Alican Büyükçakır, Yin Lin, Yinlong Qian, Di Jin, Danai Koutra

MLG@KDD 2020

10. R2-Tree: An Efficient Indexing Scheme for Server-Centric Data Center Networks. (pdf)


Yin Lin, Xinyi Chen, Xiaofeng , Guihai Chen

DEXA 2018


Scholarships and Awards

Best Paper Award at SIGMOD 2024

Rackham Dean’s and Named PhD fellowship

Outstanding Undergraduate in Shanghai Jiao Tong University

Chun Tsung Scholar from Shanghai Jiao Tong University

Program Committees

AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD), 2024

32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023