Yu ZHANG 张彧

Contact

Email: yuz9 [AT] illinois [DOT] edu
Office: Room 1117, Siebel Center for Computer Science, 201 N. Goodwin Ave, Urbana, IL 61801

What’s New

2019-08-25 Our tutorial “Taming Unstructured Big Data: Automated Information Extraction from Massive Text” was accepted by IEEE BigData 2019!

2019-08-09 Traveled to San Francisco for DMG meeting.

2019-08-09 Our paper on Hierarchical GitHub Repository Classification was accepted by ICDM 2019 as a regular paper! The acceptance rate of regular papers is 9.1% (95/1046).

2019-05-11 Finished my M.Sc. study in DMG at UIUC! My Ph.D. journey started.

2018-12-16 Served as an external reviewer for DASFAA 2019.

2018-10-21 Our work on Open-Domain Information Extraction was accepted by WSDM 2019! The acceptance rate is 16.4% (84/511).

2018-10-11 Our two papers on Nested Named Entity Recognition and Wide-Window Meta-Pattern Extraction were accepted by BIBM 2018! The acceptance rate of regular papers is 19.3% (103/534).

2018-10-05 Our work on Multi-Task Biomedical NER was accepted by Bioinformatics!

More…

Bio

I am a Ph.D. student in the Data Mining Group at University of Illinois at Urbana-Champaign, advised by Prof. Jiawei Han. I finished my M.Sc. study in the same group in Spring 2019. My research interests are text mining, information network analysis, and their applications to bioinformatics.

Before joining UIUC, I received my B.Sc. degree in Computer Science from Peking University in 2017. During my junior and senior years, I was a research assistant at Data Analysis and Intelligent Retrieval Lab, supervised by Prof. Yan Zhang.

During Summer 2016, I spent two months as a summer intern at Carnegie Mellon University, working with Prof. Kathleen M. Carley and Dr. Wei Wei.

I was born and raised in Shanghai.

For further information, please see my CV.

Publications

2019

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories [PDF] [code]
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han.
ICDM 2019. Beijing, China.

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning [PDF] [arXiv] [bioRxiv] [code]
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, Jiawei Han.
Bioinformatics. Oxford Academic. Volume 35, Issue 10.

Integrating Local Context and Global Cohesiveness for Open Information Extraction [PDF] [arXiv] [code]
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han.
WSDM 2019. Melbourne, VIC, Australia.

2018

PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature [PDF] [code]
Xuan Wang*, Yu Zhang*, Qi Li, Cathy H. Wu, Jiawei Han. (*Equal Contribution)
BIBM 2018. Madrid, Spain.

Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature [PDF]
Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, Jiawei Han.
BIBM 2018. Madrid, Spain.

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning [PDF] [arXiv] [code]
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han.
WWW 2018. Lyon, France.

Open Information Extraction with Global Structure Constraints [PDF] [code]
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han.
WWW 2018. Lyon, France. (Poster, Best Poster Award Honorable Mention)

2017

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation [PDF] [code]
Yu Zhang, Wei Wei, Binxuan Huang, Kathleen M. Carley, Yan Zhang.
CIKM 2017. Singapore. (Short)

Top-K Influential Nodes in Social Networks: A Game Perspective [PDF] [Full Version] [code]
Yu Zhang, Yan Zhang.
SIGIR 2017. Shinjuku, Tokyo, Japan. (Short)

Honors and Awards

2018 WWW 2018 Best Poster Award Honorable Mention
2017 Best Undergraduate Thesis Award, School of EECS, Peking University (10/315)
2017 Outstanding Graduates, Peking University
2017 SIGIR 2017 Student Travel Grants
2016 Kwang-Hua Scholarship
2015 May 4th Scholarship
2014 National Scholarship (Top 1%)
2011/2012 First Prize, National Olympiad in Informatics in Provinces (NOIP)

Misc

I like taking MOOCs when I intend to learn something as a beginner. Some MOOCs I have finished: Networks (2015-04), Model Thinking (2015-05), Probability (2015-05), Economics (2018-08).

I played bridge during my high school and undergraduate time. Sometimes I could get a good place.