I am a 3rd-year PhD student in Computer Science at University of Washington, Seattle, advised by Prof. Alex Ratner. Before that, I was an undergraduate student in Computer Science of University of Illinois Urbana-Champaign, where I was fortunated to be advised by Prof. Jiawei Han. During the past, I spent time at Microsoft Research Asia and ByteDance AI Lab.

Research Interests: My current research interests are interactive and data-centric AI/ML with an emphasis on effort-light approach and their applications in chemistry, biology, physics, etc.. My ultimate goal is to build effective, efficient, and explainable data-centric ML systems. My past explorations lay in the intersection of machine learning, data mining, and natural language processing.

Selected Publications

(* denotes equal contribution)

Preprints

• A Survey on Programmatic Weak Supervision
  Jieyu Zhang*, Cheng-Yu Hsieh*, Yue Yu*, Chao Zhang, Alexander Ratner.
• Label-Efficient Interactive Time-Series Anomaly Detection
  Hong Guo*, Yujing Wang*, Jieyu Zhang*, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang.
• DataComp: In search of the next generation of multimodal datasets
  Samir Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, and 23 other authers.

Inproceedings

• Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
  Jieyu Zhang*, Linxin Song*, Alexander Ratner.
  AISTATS 2023.
• Learning Hyper Label Model for Programmatic Weak Supervision
  Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu.
  ICLR 2023.
• Binary Classification with Positive Labeling Sources
  Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner.
  CIKM 2022.
• Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
  Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner.
  VLDB 2022.
• Understanding Programmatic Weak Supervision via Source-aware Influence Function
  Jieyu Zhang*, Haonan Wang*, Cheng-Yu Hsieh, Alexander Ratner.
  NeurIPS 2022.
• Creating Training Sets via Weak Indirect Supervision
  Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner.
  ICLR 2022.
• WRENCH: A Comprehensive Benchmark for Weak Supervision
  Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner.
  NeurIPS 2021.
  Oral Presentation

Before Ph.D.

• TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
  Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han.
  WWW 2022.
• Taxonomy Completion via Triplet Matching Network
  Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li.
  AAAI 2021.
• Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks
  Carl Yang, Jieyu Zhang, Jiawei Han.
  ICDM 2020.
  Best Paper
• Neural Embedding Propagation on Heterogeneous Networks
  Carl Yang*, Jieyu Zhang*, Jiawei Han.
  ICDM 2019.

Education

• University of Washington - Ph.D. in Computer Science (2020 - Present).
• University of Illinois Urbana-Champaign - B.S. in Statistics and Computer Science.

Industrial Experience

• Microsoft Research (Asia) - Star Bridge Research Assistant
  2020.09-2021.12
  Supervised by Dr. Yujing Wang.
• ByteDance AI Lab - Research Intern
  2020.04-2020.09
  Supervised by Prof. Lei Li.

Awards

• Jane Street Graduate Research Fellowship Honorable Mention
• CRA Outstanding Undergraduate Researcher Honorable Mention
• ICDM’20 Best Paper Award
• ICDM’19 Student Travel Award
• UIUC James Scholar Preble Research Award
• UIUC John R. Pasta Outstanding Undergraduate Award

Professional Services

• Reviewer: NeurIPS, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, ARR, KDD, LOG.

Contact

Email: jieyuz2@cs.washington.edu
Twitter: @JieyuZhang20