here - DePaul University

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YONG ZHENG, Ph.D. Candidate
Contact
Center for Web Intelligence
College of Computing and Digital Media
DePaul University (LOOP Campus)
243 S Wabash Ave, Chicago, IL 60604 USA
Research
Interests
Web Personalization and Recommender systems. My research is focused on data mining, user modeling and
recommender systems; more specifically, context-aware recommender systems, including context-aware profiling,
contextual relevance, context-aware modeling, evaluations and recommendations.
Education
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Tel: +1 (312) 362-8261
Email: [email protected]
Web: students.depaul.edu/∼yzheng8/
Twitter: @irecsys
Ph.D., Computer and Information Sciences, 2010 – 2015
• School: DePaul University, Chicago, USA
• Adviser: Professor Bamshad Mobasher
• GPA: 3.973/4.0
M.S., Computer Science, 2007 – 2010
• School: Nanjing University of Posts & Telecommunications (NUPT), Nanjing, China
• Adviser: Professor Hanhua Lu
• GPA: 3.64/4.0 (Rank #1)
B.E., Computer Science and Engineering, 2003 – 2007
• School: Jiangnan University, Wuxi, China
• GPA: 3.0/4.0
Experiences
Research Assistant, 2010 – 2015
• Lab: The Center for Web Intelligence, DePaul University, Chicago, USA
• Research Area: User Modeling and Context-aware Recommender Systems
Project Assistant, Jan, 2011 – Sep, 2011
• Lab: The Center for Web Intelligence, DePaul University, Chicago, USA
• Project: Experience Discovery: iRecommend Services within iRemix Social Networks
Project Assistant, Dec, 2010
• Lab: The Center of Excellence for Software Traceability, DePaul University, Chicago, USA
• Project: NSF MRI-R2: Development of a Software Traceability Instrument to Facilitate & Empower
Traceability Research & Technology Transfer
Research Assistant, 2007 – 2010
• Lab: Network Communication Joint Laboratory by Fujian Fujitsu and NUPT, Nanjing, China
• Research Area: Telecom Operations & Applications, Distributed Systems, Personalization
Lab Assistant, 2004 – 2007
• Lab: Network Communication Joint Laboratory by Wuxi Unicom and Jiangnan University, Wuxi, China
• Lab work: Web Design, Web Architecture and Distributed Systems
Academic
Activities
Program Committee Member
• Conferences: UMAP (2015), iSWAG (2015), FLAIRS (2015), ICWSM (2014), SAC (2014), EC-WEB
(2013), IIiX (2014), ICCASA (2014), ICDM (2014,2013), AWC (2014), PAAMS (2015,2014), ADMA
(2014,2013,2012), SOCRS (2015,2013)
• Workshops: PAMUR (2015), EMPIRE (2015, 2014), CaRR (2013), SPIM (2013), CtxRecSys (2013),
WPRSM (2015, 2014, 2013), SMR (2014,2012)
• Book Chapters: “Emotions and Personality in Personalized Services”, Springer
External Reviewer
• Conferences & Workshops: WWW (2014), RecSys (2014,2013), SocInfo (2013), CaRR (2014), ITWP (2014)
• Journals: ACM TOIS, UMUAI, WWWJ, WIAS, JIIS (Springer), JITT, IJSNM, JIIS, JCEA (in Chinese)
Student Volunteer
• RecSys (2014,2011), KDD (2013)
Conference Attendances
• RecSys (2014,2013,2012,2011), UMAP (2015,2013), SAC (2015,2014), IUI (2015), CIKM (2014), WI (2014),
KDD (2013)
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Academic
Associations
• Association for Computing Machinery (ACM)
• ACM Special Interest Group on Applied Computing (ACM SIGAPP)
Profile
• Google Scholar, Research Gate, DBLP, Microsoft Academics, SlideShare, LinkedIn
Conference
Publications
[1] Yong Zheng, Bamshad Mobasher, Robin Burke. “Integrating Context Similarity with Sparse Linear
Recommendation Model ”, The 23rd International Conference on User Modeling, Adaptation and Personalization (UMAP), pp. , Dublin, Ireland, June 2015 (Short paper, Overall Acceptance rate1 : 29%)
[2] Yong Zheng. “A Revisit to The Identification of Contexts in Recommender Systems”, Proceedings of the
20th ACM Conference on Intelligent User Interfaces (ACM IUI) Companion, pp. 133-136, Atlanta, GA,
USA, March 2015 (Doctoral Consortium)
[3] Yong Zheng. “Improve General Contextual SLIM Recommendation Algorithms By Factorizing Contexts”,
Proceedings of the 30th ACM Symposium on Applied Computing (ACM SAC), pp. 937-938, Salamanca,
Spain, April 2015 (ACM SRC paper, Acceptance rate: 35%)
[4] Yong Zheng, Bamshad Mobasher, Robin Burke. “Deviation-Based Contextual SLIM Recommenders”,
Proceedings of the 23rd ACM Conference on Information and Knowledge Management (ACM CIKM),
pp. 271-280, Shanghai, China, Nov 2014 (Full paper, Acceptance rate: 20.8%)
[5] Yong Zheng. “Deviation-Based and Similarity-Based Contextual SLIM Recommendation Algorithms”,
Proceedings of the 8th ACM Conference on Recommender Systems (ACM RecSys), pp. 437-440, Silicon
Valley, Foster City, CA, USA, Oct 2014 (Doctoral Symposium)
[6] Yong Zheng, Bamshad Mobasher, Robin Burke. “CSLIM: A Contextual SLIM Recommendation Algorithm”, Proceedings of the 8th ACM Conference on Recommender Systems (ACM RecSys), pp. 301-304,
Silicon Valley, Foster City, CA, USA, Oct 2014 (Short paper, Acceptance rate: 24%)
[7] Yong Zheng, Bamshad Mobasher, Robin Burke. “Context Recommendation Using Multi-label Classification”, Proceedings of the 13th IEEE/WIC/ACM Conference on Web Intelligence (IEEE/WIC/ACM
WI), pp. 288-295, Warsaw, Poland, Aug 2014 (Full paper, Overall Acceptance rate: 35%)
[8] Yong Zheng, Robin Burke, Bamshad Mobasher. “Splitting Approaches for Context-Aware Recommendation: An Empirical Study”, Proceedings of the 29th ACM Symposium on Applied Computing (ACM
SAC), pp. 274-279, Gyeongju, South Korea, March 2014 (Full paper, Acceptance rate: 23%)
[9] Yong Zheng. “Semi-supervised Context-aware Matrix Factorization: Using Contexts In A Way of “Latent” Factors”, Proceedings of the 29th ACM Symposium on Applied Computing (ACM SAC), pp.
292-293, Gyeongju, South Korea, March 2014 (ACM SRC paper, Acceptance rate: 29%)
[10] Yong Zheng, Robin Burke, Bamshad Mobasher. “Recommendation with Differential Context Weighting”.
The 21st International Conference on User Modeling, Adaptation and Personalization (UMAP), pp.
152-164, Rome, Italy, June 2013 (Full paper, Overall Acceptance rate: 30%)
[11] Yong Zheng, Robin Burke, Bamshad Mobasher. “Differential Context Relaxation for Context-aware Travel Recommendation”. The 13th International Conference on Electronic Commerce and Web Technologies
(EC-WEB), pp. 88-99, Vienna, Austria, Sep 2012 (Full paper, Acceptance rate: 33%)
Workshop & [12] Yong Zheng, Robin Burke, Bamshad Mobasher. “The Role of Emotions in Context-aware RecommendaResearch
tion”, Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems held in
Symposium
conjunction with the 7th ACM Conference on Recommender Systems (ACM RecSys), pp. 21-28, Hong
Publications
Kong, China, Oct 2013
[13] Yong Zheng, Robin Burke, Bamshad Mobasher. “Differential Context Modeling in Collaborative Filtering”, Proceedings of School of Computing Research Symposium (SOCRS), DePaul University, Chicago,
USA, May 2013
[14] Yong Zheng, Robin Burke, Bamshad Mobasher. “Optimal Feature Selection for Context-Aware Recommendation using Differential Relaxation”. Proceedings of the 4th Workshop on Context-Aware Recommender Systems held in conjunction with the 6th ACM Conference on Recommender Systems (ACM
RecSys), Dublin, Ireland, Sep 2012
[15] Robin Burke, Yong Zheng, Scott Riley. “Experience Discovery: Hybrid Recommendation of Student
Activities using Social Network Data”, Proceedings of the 2nd Workshop on Information Heterogeneity
and Fusion in Recommender Systems held in conjunction with the 5th ACM Conference on Recommender
Systems (ACM RecSys), pp. 49-52, Chicago, USA, Oct 2011
1 The
“overall acceptance rate” indicates the acceptance rate based on both full and short papers.
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[16] Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng. “Context-Aware Recommendation Based
On Review Mining”, Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization
& Recommender Systems held in conjunction with the 22nd International Joint Conference on Artificial
Intelligence (IJCAI), pp. 30-36, Barcelona, Spain, July 2011
[17] Negar Hariri, Yong Zheng, Bamshad Mobasher, Robin Burke. “Context-Aware Recommendation Based
On Review Mining”, Proceedings of School of Computing Research Symposium (SOCRS), DePaul University, pp. 27-36, Chicago, USA, May 2011
Invited
Book
Chapters
[18] Yong Zheng, Robin Burke, Bamshad Mobasher. “Emotions in Context-aware Recommender Systems”.
In Book: Emotions and Personality in Personalized Services (ISBN: ), pp. , Springer Berlin Heidelberg,
2015
[19] Yong Zheng, Hanhua Lu, Yashi Wang, Lijuan Min, Shunyi Zhang, Yanfei Sun. “Next-Generation Service
Delivery Platforms (NGSDPs): Cognitive Model ”. In Book: Encyclopedia of Wireless and Mobile
Communications, 2nd Edition, Vol. 2 (ISBN: 1466509562), pp. 1426-1442, CRC Press, 2012
[20] Yong Zheng, Hanhua Lu, Yashi Wang, Lijuan Min, Shunyi Zhang, Yanfei Sun. “Overview of Cognitive
NGSDP Model: An Intelligent System in View of APIS (Applications, Performance, Intelligence,and
Security)”. In Book: Service Delivery Platforms: Developing and Deploying Converged Multimedia
Services (ISBN: 1439800898), pp. 123-155, Auerbach Publications, CRC Press, 2011
[21] Yong Zheng, Hanhua Lu, Yanfei Sun. “A Parallel Billing System Model ”. In Book: The Distributed Computing and Algorighms for Business, Engineering and Sciences Book Series: v. 1 (ISBN: 1906560013),
pp. 33-41, University of Greenwich AMCE Publishing, UK, 2009
Translations [1] Some book chapters and sections In Book: edited by Francesco Ricci, et al., Recommender Systems
(En to Zh-cn)
Handbook Second Edition (í•XÚÃþ1 ‡), 2015 (Pending, To Appear)
[2] Several book chapters and sections In Book: edited by Hanhua Lu, et al., Framework and Application
of Shared Information and Data ( •&E†êâµe9ÙA^; ISBN: 7115245118), Posts & Telecom
Press, Beijing, China, December, 2010
Invited
Talks
[1] Yong Zheng. “Matrix Factorization in Recommender Systems”. Invited Talk at graduate student class
CSC 529 - Advanced Data Mining, DePaul University, Chicago, USA, Mar 4, 2015
[2] Yong Zheng, Robin Burke, Bamshad Mobasher. “Context-aware Splitting Approaches: split users or split
items? ”. Research Colloquium, School of Computing, DePaul University, Chicago, USA, Sep 27, 2013
[3] Yong Zheng, Robin Burke, Bamshad Mobasher. “Assist your decision-making in various situations:
Differential Context Relaxation for Context-aware Recommendations”. Research Colloquium, School of
Computing, DePaul University, Chicago, USA, Oct 5, 2012
Honors
and
Awards
DePaul University, USA
• 2010 – 2015, Full Tuition Waivers + Fellowship, $15,000 USD/Year
• Summer 2014, Summer Grading Assistant Scholarship, $625 USD
• Summer 2014, Ph.D. Summer Research Grant, $5,416 USD
MacArthur Foundation, USA
• 01/2011 – 06/2011, MacArthur Scholarship, $7,500 USD
Nanjing University of Posts and Telecommunications, P.R.China
• 2007 – 2010, Full Tuition Waivers + Research Grant, ¥20,000 RMB
• 2007 – 2009, 1st Class Outstanding Graduate Student Scholarship, ¥1,000 RMB/Year
• 2007 – 2009, “Huawei” Scholarship (only awarded to top #1 student), ¥3,000 RMB/Year
Jiangnan University, P.R.China
• 2006 – 2007, 3rd Class Outstanding Undergraduate Student Scholarship
• 2005 – 2006, 2nd Class Outstanding Undergraduate Student Scholarship
Volunteers, Travel Awards and Grants 2
• The Conference on User Modeling, Adaptation and Personalization (UMAP), Dublin, Ireland, 2015
- Pending
• The ACM Conference on Intelligent User Interfaces (ACM IUI), Atlanta, Georgia, USA, 2015
- ACM IUI Student Travel Award by US National Science Foundation, $1008.64 USD
2 Grants
are provided by DePaul University; Awards are offered by conferences sponsors or organizations.
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• The ACM Symposium on Applied Computing (ACM SAC), Salamanca, Spain, 2015
- ACM SAC Student Travel Award by ACM Special Interest Group on Applied Computing, $1,500 USD
- ACM SRC Student Travel Award by Microsoft Research, $500 USD
• The ACM Conference on Information and Knowledge Management (ACM CIKM), Shanghai, China, 2014
- Ph.D. Student Travel Grant by US NSF Research Project, $868.19 USD
• The ACM Conference on Recommender Systems (ACM RecSys), Silicon Valley, California, USA, 2014
- ACM RecSys Student Travel Award by US National Science Foundation, $1,000 USD
- Volunteer at ACM RecSys 2014, Waived Registration Fee, $250 USD
• The IEEE/WIC/ACM International Conference on Web Intelligence (WI), Warsaw, Poland, 2014
- Ph.D. Student Travel Grant by DePaul University, $1,549.82 USD
• The ACM Symposium on Applied Computing (ACM SAC), Gyeongju, South Korea, 2014
- ACM SAC Student Travel Award by ACM Special Interest Group on Applied Computing, $1,200 USD
- ACM SRC Student Travel Award by Microsoft Research, $500 USD
• The Conference on User Modeling, Adaptation and Personalization (UMAP), Rome, Italy, 2013
- UMAP Student Travel Award by US National Science Foundation, $2,120.40 USD
- Ph.D. Student Travel Grant by DePaul University, $500 USD
• The ACM Conference on Knowledge Discovery and Data Mining (ACM KDD), Chicago, USA, 2013
- Volunteer at ACM KDD 2013, Waived Registration Fee, $400 USD
• The ACM Conference on Recommender Systems (ACM RecSys), Hong Kong, China, 2013
- Ph.D. Student Travel Grant by DePaul University, $1,500 USD
• The ACM Conference on Recommender Systems (ACM RecSys), Dublin, Ireland, 2012
- Ph.D. Student Travel Grant by DePaul University, $1,000 USD
• The ACM Conference on Recommender Systems (ACM RecSys), Chicago, USA 2011
- Volunteer at ACM RecSys, 2011, Waived Registration Fee, $300 USD
Other Honors, Awards and Grants
• 04/2013, AWS Student Award, Amazon.com Inc., $100 USD
Academic or Research Competitions and Challenges
• 04/2015, ACM Student Research Competition at ACM SAC 2015 (1st and 2nd round)
• 1st round, 15 out of 42 submissions were selected for participation
• 2nd round, 5 out of 15 participants were selected for further competition
• 03/2014, ACM Student Research Competition at ACM SAC 2014 (1st round)
• 1st round, 12 out of 41 submissions were selected for participation
Technical
Skills
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Recommendation Engine: Mahout, MyMediaLite, LensKit
Data Mining & Machine Learning Toolkit: Mahout, RapidMiner, Weka, Mulan, Python, Scikit-learn
Mining Big Data: Mahout, Hadoop, AWS, IBM Smart Cloud
Statistics Skills: R, SPSS, SAS, Matlab, Python
Social Networks Analysis: Gephi, UCINET
Programming: C#, Java, C++, Python, Middleware (J2EE, CORBA, etc)
Web Server: IIS, Apache, Tomcat, Weblogic, Websphere
College
Services
Teaching (substitute)
• IS 567 - Knowledge Discovery Technologies
Teaching or Grading Assistant
• ECT 584 - Web Data Mining for Business Intelligence
• CSC 575 - Intelligent Information Retrieval
• CSC 555 - Mining Big Data
• CSC 529 - Advanced Data Mining
• CSC 495 - Social Network Analysis
• CSC 480 - Artificial Intelligence
• CSC 478 - Programming Data Mining Applications
• CSC 455 - Database Processing for Large-Scale Analytics
• CSC 425 - Time Series Analysis and Forecasting
• CSC 423 - Data Analysis and Regression
Languages
Chinese (native language), English (fluent), Latin American Spanish (a little)
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References
Dr. Bamshad Mobasher
• Professor, College of Computing and Digital Media, DePaul University
• Email: [email protected], Tel: (312) 362-5174
• Homepage: http://maya.cs.depaul.edu/∼mobasher/
? Dr. Bamshad Mobasher is my current doctoral supervisor.
Dr. Robin Burke
• Professor, College of Computing and Digital Media, DePaul University
• Email: [email protected], Tel: (312) 362-5910
• Homepage: http://josquin.cti.depaul.edu/∼rburke/
Ph.D.
Dissertation
Committee
More
Dr. Bamshad Mobasher
Professor of Computer Science
DePaul University, Chicago, IL, USA
Dr. Robin Burke
Dr. Francesco Ricci
Faculty of Computer Science
Free University of Bozen-Bolzano, Italy
Dr. Daniela Stan Raicu
More information can be found at http://students.depaul.edu/∼yzheng8/.
Last Update: April, 2015
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here - DePaul University

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