Frank F. Xu

Master Candidate

Advisor: Kenny Q. Zhu
SEIEE #3-341
Dept. of Computer Science & Engineering
Shanghai Jiao Tong University

Email: frankxu[at]
Frank Xu Bio

Publications (DBLP) (Google Scholar)


My Lab (ADAPT-Lab)




Currently I am a visiting student Prof. Jiawei Han's group at CS@UIUC, doing text mining and information extraction. I am a second-year Master Candidate of Computer Science at ADAPT Lab, Shanghai Jiao Tong University since 2016, under supervision of Prof. Kenny Q. Zhu. Prior to that, I obtained B.Eng of Computer Science from IEEE Honored Class, Shanghai Jiao Tong University, and earned Best Thesis Award in SJTU Bachelor's Thesis Defense (Top 1%). The IEEE honored class in SJTU is an elite program at SJTU which aims to nurture scientists in computer science, electrical and electronic technology, and information science. I had several research internships in labs like ADAPT Lab, SJTU IIOT and OMNILAB during my undergraduate study in SJTU, as well as industry software development internship positions.



I work and have great interest in natural language processing, text mining, knowledge discovery, information retrieval, machine learning and artificial intelligence. I had also done projects regarding computational social sciences, urban computing, spatio-temporal data mining, etc. in the past.

I'm a member of the Advanced Data And Programming Technology Lab (ADAPT-Lab) .

Current Research

Good Research Advices

Publications (* indicates equal contribution)

Text Mining

Mining Cross-Cultural Differences and Similarities in Social Media.
Under review

Mining Cross-Cultural Differences of Named Entities: A Preliminary Study.
Frank F. Xu*, Bill Y. Lin*, Kenny Q. Zhu.
To appear on First Workshop on Knowledge Base Construction, Reasoning and Mining (KBCOM) at WSDM, 2018.

Information Extraction

Sequence Labeling with Efficient Representation Learning.
Under review

ExtRA: A Framework for Extracting Review Aspects from Online Customer Feedback.
Zhiyi Luo, Bill Y. Lin, Frank F. Xu, Hanyuan Shi, Kenny Q. Zhu.
Accept after revision by 34th IEEE International Conference on Data Engineering (ICDE), 2018.

Empower Sequence Labeling with Task-Aware Neural Language Model.
Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han.
To appear on Thirty-second AAAI Conference on Artificial Intelligence (AAAI), 2018. [arXiv]

ReQuest: Indirect Supervision for Relation Extraction using Question-Answer Pairs.
Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han.
To appear on The 11th ACM International Conference on Web Search and Data Mining (WSDM), 2018. [arXiv]

Commonsense LocatedNear Relation Extraction from Large Text.
Frank F. Xu*, Bill Y. Lin*, Kenny Q. Zhu.
Appeared on 6th Workshop on Automated Knowledge Base Construction (AKBC) at NIPS, 2017. [arXiv]

Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media.
Frank F. Xu*, Bill Y. Lin*, Zhiyi Luo, Kenny Q. Zhu.
In Proceedings of the 3rd Workshop on Noisy User-generated Text (W-NUT) at EMNLP, 2017. [PDF]

Urban Computing

Transfer Learning for Traffic Speed Prediction: A Preliminary Study.
Frank F. Xu*, Bill Y. Lin*, Eve Q. Liao, Kenny Q. Zhu
To appear on SmartIoT 2018 Workshop: AI enhanced IoT data processing for Intelligent Applications, at AAAI, 2018

Cross-region Traffic Prediction for China on OpenStreetMap.
Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang and Kenny Q. Zhu.
In Proceedings of the 9th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2016. [PDF]

Traffic Prediction for Urban Planning
Frank F. Xu
Bachelor's Thesis (Best Thesis Award, Top 1%), 2016. [PDF][Slides][Poster][Video]

Useful Links

SJTU Webmail
My GitHub
My Twitter
My LinkedIn
My ResearchGate
NLP Calendar
Google Calendar
Google Scholar

This page was last modified on Dec. 24, 2017

This page was initially created on May 1, 2016