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Peng Lin

About

I obtained my Ph.D. in Computer Science at Washington State University, under the supervision of Dr. Yinghui Wu and Dr. Lawrence Holder. My research interests span the topics of big data analytics, mining, and management over graphs. Specifically, I have been working on various graph refinement problems, e.g., link prediction, error detection, and repairing, using either constraint-based or learning-based methods. I got my M.S. and B.S. degrees from Shanghai Jiao Tong University (SJTU) in China, and worked as SDE at Marvell before starting my Ph.D.

Interests

  • Big Data
  • Data Mining
  • Database
  • Graph Data

Education

  • Ph.D., 2015 - 2020

    Washington State university

  • M.S. and B.S., 2012

    Shanghai Jiao Tong University

Publications

GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs
IEEE International Conference on Big Data (BigData), 2020 (Best Paper Award)
Sheng Guan, Peng Lin, Hanchao Ma, and Yinghui Wu

Preprint Youtube Bilibili

Answering Why-Questions for Subgraph Queries
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 (accepted)
Qi Song, Mohammad Hossein Namaki, Peng Lin, and Yinghui Wu

Preprint

Repairing Entities using Star Constraints in Multirelational Graphs
IEEE International Conference on Data Engineering (ICDE), 2020
Peng Lin, Qi Song, Yinghui Wu, and Jiaxing Pi

Paper Slides Video Full version

Discovering Patterns for Fact Checking in Knowledge Graphs
ACM Journal of Data and Information Quality (JDIQ), 2019
Peng Lin, Qi Song, Yinghui Wu, and Jiaxing Pi

Paper

Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns
Data Science and Engineering - Springer (DSE), 2019 (invited paper)
Peng Lin, Qi Song, and Yinghui Wu

Paper Code

Discovering Graph Patterns for Fact Checking in Knowledge Graphs
International Conference on Database Systems for Advanced Applications (DASFAA), 2018
Peng Lin, Qi Song, Jialiang Shen, and Yinghui Wu

Paper Slides Code Report

Mining Summaries for Knowledge Graph Search
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
Qi Song, Yinghui Wu, Peng Lin, Luna Xin Dong, and Hui Sun

Paper

Percolator: Scalable Pattern Discovery in Dynamic Graphs
ACM International Conference on Web Search and Data Mining (WSDM), 2018 (demo paper)
Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence Holder, and Khushbu Agarwal

Paper Poster

Discovering Graph Temporal Association Rules
International Conference on Information and Knowledge Management (CIKM), 2017
Mohammad Hossein Namaki, Yinghui Wu, Qi Song, Peng Lin, and Tingjian Ge

Paper Slides

Event Pattern Discovery by Keywords in Graph Streams
IEEE International Conference on Big Data (BigData), 2017
Mohammad Hossein Namaki, Peng Lin, and Yinghui Wu

Paper

Parallel Graph Summarization for Knowledge Search
International Workshop on Mining and Learning with Graphs (MLG), 2017 (workshop paper)
Qi Song, Mohammad Hossein Namaki, Peng Lin, and Yinghui Wu

Paper

Teaching

I was a TA for the following courses at WSU:

  • Cpt_S 360: Systems Programming, Spring 16 - Fall 17
  • Cpt_S 355: Programming Language Design, Fall 15 - Spring 16

Contact

  • peng.lin [AT] wsu.edu
  • 355 NE Spokane St., Pullman, WA, 99164, United States