Shiwen Cheng Department of Computer Science and Engineering 363 Winston Chung Hall University of California at Riverside Riverside, CA 92521

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I passed my PhD thesis defense in May 2015. My thesis title is "Effective Exploration of Web and Social Network Data".

I worked in the Database Lab under the supervision of Dr. Vagelis Hristidis.

Research Interests

Web Search, Semantic Web Data, Social Network Data, Keyword Search on (Semi-)structured Data.

Education

Ph.D. in Computer Science (06/2015)
University of California, Riverside, CA, USA
Advisor: Dr. Vagelis Hristidis


B.S. in Computer Science, (06/2007)
Huazhong University of Science and Technology, Wuhan, Hubei, China.

Work Experience

• Samsung Research America, San Jose, USA (Summer 2014) - Applied Research Intern
• Yelp Inc., San Francisco, USA (Summer 2013) - Software Engineering Intern in Search & Data Mining team
• Quoord Systems Limited, Shanghai, China (2009 - 2010) - Software Developer
• Adways Co., Ltd, Shanghai, China (2007 - 2008) - Software Engineer (Web Developer)

Applications by Our Group

• Social Analytics and Social Search
• Patents Search

Publications

• Mohiuddin Abdul Qader, Shiwen Cheng, Abhinand Menon, Vagelis Hristidis. Efficient Secondary Attribute Lookup in NoSQL Databases. Under submission.
• Shiwen Cheng, Marek Chrobak, Vagelis Hristidis. Slowing the Firehose: Multi-Dimensional Diversity on Social Post Streams. International Conference on Extending Database Technology (EDBT) 2016 (full paper, acceptance rate 27%)
• Shiwen Cheng, James Fang, Vagelis Hristidis, Harsha V. Madhyastha, Niluthpol Chowdhury Mithun, Dorian Perkins, Amit K. Roy-Chowdhury, Moloud Shahbazi, and Vassilis J. Tsotras. OSNI: Searching for Needles in a Haystack of Social Network Data. International Conference on Extending Database Technology (EDBT) 2016 (demo paper)
• CanghongJin, Minghui Wu, Zemin Liu, Shiwen Cheng. Efficient Information Extraction Based on Signature Index. International Journal of Database Theory and Application Vol.8, No.2 (2015)
• Shiwen Cheng, Anastasios Arvanitis, Marek Chrobak, Vagelis Hristidis. Multi-Query Diversification in Microblogging Posts. International Conference on Extending Database Technology (EDBT) 2014 (full paper, acceptance rate 20%)
• Shiwen Cheng, Anastasios Arvanitis, Vagelis Hristidis. How Fresh Do You Want Your Search Results? ACM Conference on Information and Knowledge Management (CIKM) 2013 (full paper, acceptance rate 16.9%) [dataset]
• Shiwen Cheng, Arash Termehchy, Vagelis Hristidis. Efficient Prediction of Difficult Keyword Queries on Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2013
• Shiwen Cheng, Vagelis Hristidis, Michael Weiner. Leveraging User Query Sessions to Improve Searching of Medical Literature. American Medical Informatics Association (AMIA) Annual Symposium 2013 [dataset]
• Shiwen Cheng, Arash Termehchy, Vagelis Hristidis. Predicting the Effectiveness of Keyword Queries on Databases. ACM Conference on Information and Knowledge Management (CIKM) 2012 (full paper, acceptance rate: 13.4%)

Activities

• Program Committee:
  CIKM'16
• Reviewer:
  Information Science (2014), AMIA'14
• External Reviewer:
  SIGKDD(16, 15, 14, 13), SDM'16, CIKM(15, 11), RecSys'15, ASONAM'15, VLDB(15, 12), SIGMOD(15, 13, 12), ICC'15, TKDE'14, EDBT(14, 12), WSDM(14, 13, 12), ICDE(14, 12), WebDB'12, HDMS'12, ICDM'11

Teaching Assistant

• CS172: Introduction to Information Retrieval, Spring 2013, Spring 2014
  
• CS235: Data Mining Techniques, Fall 2012

Misc

• I'm a HUSTer!
• "Life is just a series of peaks and troughs. And you don't know whether you're in a trough until you're climbing out, or on a peak until you're coming down. And that's it you know, you never know what's round the corner. But it's all good."