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| Dr. Yong Zheng Chicago, IL, 60616-5314, USA |
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| --> - Call for PhD students: information about our PhD program , admission guidelines for domestic students and international students . The application deadline for the prospective PhD students starting in the upcoming Fall semester is Jan 31. Note that you need to mention me as your preferred PhD advisor in the application form and/or cover letter.
Dr. Yong Zheng is currently a tenured Associate Professor at Department of Information Technology and Management , College of Computing , Illinois Institute of Technology , Chicago, USA, and he also served as a Co-Director of the PhD Program in the ITM Department. He obtained his PhD degree in computer and information sciences from DePaul University in Chicago. Prior to IIT-Chicago, he worked with Dr. Bamshad Mobasher and Dr. Robin Burke on Recommender Systems and User Modeling. Dr. Zheng is the director of the Center for Decision Making and Optimization (DMO) at Illinois Institute of Technology. His primary research focus encompasses the realm of Data Science and AI, with a specific emphasis on User Modeling, Personalization, and Recommender Systems. Additionally, he is engaged in cross-disciplinary investigations within Human-Centric Computing, Technology-Enhanced Learning, and FinTech. Notably, his scholarly contributions have found their way into premier conferences and journals, including KDD, ICDM, CIKM, RecSys, UMAP, IUI, SAC, UMUAI, Neurocomputing, etc. He maintains an active presence in professional engagement. His expertise has led to invitations to serve as organizational roles in prominent ACM conferences, such as ACM RecSys, ACM UMAP, ACM IUI, ACM Hypertext, and ACM SIGITE. Furthermore, he has played editorial roles for journals like JIIS , FIBD , EAIT and IJEntTM . Serving as both a Program Committee member and reviewer, he has contributed his insights to distinguished academic journals and conferences, including IJCAI, KDD, SIGIR, WWW, RecSys, UMAP, TOIS, TIST, TiiS, TKDE, UMUAI, and more.
- 2024 - Present, Associate Professor (tenured), Illinois Institute of Technology, USA
- 2018 – 2024, Assistant Professor, Illinois Institute of Technology, USA
- 2016 – 2018, Senior Lecturer, Illinois Institute of Technology, USA
- 2016 – 2017, Part-Time Lecturer, DePaul University, USA
- 06/2017 – 12/2017, Independent Consultant (Recommender Systems), NPAW, Spain
- 2015 – 2015, Data Scientist at Pandora Media, Inc., USA
Latest News
- 06/2024, CFP: Special issue on AI for Financial Services and Applications @ Discover Data, Springer
- 01/2024, I started to serve as an Associate Editor at Education and Information Technologies (EAIT), Springer . EAIT is recognized as the second-highest ranked venue in the educational technology category, as assessed by Google Metrics .
- 01/2024, PI, Seed Grant (GPU Computing Resources) by Argonne National Laboratory
- 12/2023, CFP: International Workshop on Decision Making and Optimization in Financial Technologies (DMO-FinTech)
- 10/2023, I was invited to serve as a NSF Panelist in the review of NSF/CISE Grants
Research Interests
- General Areas: Data Science, Machine Learning, Artificial Intelligence
- Web Intelligence: Personalization, Recommender Systems, etc.
- HCI and Users: User Modeling, Human-Centric Computing, Behavior Analysis, etc.
- Education: Learning Analytics, Educational Data Mining, AI for Education, Technology-Enhanced Learning, etc.
- FinTech: AI in Finance, portfolio optimization, financial recommender systems, etc.
Honors, Grants & Awards
- 2024, PI, ACM SIGAI Travel Fund for ACM IUI 2025
- 2024, PI, NSF Grant (#2437064) to support participations in ACM IUI 2025
- 2024, PI, NSF Grant (#2427819) to support participations in ACM RecSys 2024
- 2024, PI, Seed Grant (GPU Computing Resources) by Argonne National Laboratory
- 2023, NSF Merit Review Panelist in the review of NSF/CISE Grants
- 2023, Best Paper Nominee (Finalist) at ACM SIGITE 2023
- 2023, PI, NSF Grant (#2333695) to support participations in ACM IUI 2024
- 2023, PI, Seed Grant (GPU Computing Resources) by Argonne National Laboratory
- 2023, PI, ACM SIGAI Travel Fund for ACM IUI 2024
- 2023, Angela Jarka Service Award by the ITM department at IIT
- 2023, PI, Industry Grant (#230342) by Morningstar, Inc.
- 2023, CCCC Professional Equity Project Grant
- 2023, IEEE EDUCON Registration Waiver
- 2023, ACM IUI Registration Waiver
- 2023, PI, NSF Grant (#2309142) to support participations in ACM IUI (2023 - 2024)
- 2022, PI, ACM SIGAI Travel Fund for ACM IUI 2023
- 2022, PI, ACM SIGCHI Development Fund for ACM IUI 2023
- 2022, PI, ACM SIGCHI Development Fund for ACM UMAP 2023
- 2022, PI, ACM SIGCHI Development Fund for ACM UMAP 2022
- 2022, PI, Industry Grant (#220300) by Morningstar, Inc.
- 2022, PI, AWS Cloud Credit Award for Research
- 2022, PI, Google Cloud Credit Award for Research
- 2022, ACM RecSys Registration Waiver
- 2022, ACM UMAP Registration Waiver
- 2022, IEEE ICDM Registration Waiver
- 2021, Excellence in Research Award by College of Computing at Illinois Institute of Technology
- 2021, ACM RecSys Registration Waiver
- 2021, ACM SIGKDD Registration Waiver
- 2021, AWS Educate Credit
- 2021, PI, ACM SIGCHI Development Fund for ACM UMAP 2021
- 2020, ACM RecSys Registration Waiver
- 2020, Project on "Predictive Staffing Model for Transit Security" for Chicago Transit Authority (CTA) supported and collaborated with Digby’s Detective & Security Agency, Inc.
- 2020, PI, Industry Grant #20-0195 by Morningstar, Inc. (approved but cancelled due to Covid-19)
- 2020, PI, NSF Grant (#2022227) to support students in ACM UMAP (2020 - 2024)
- 2019, ACM RecSys Registration Waiver
- 2019, ACM CIKM Registration Waiver
- 2018, PI, NSF Grant (#1830908) to support students in ACM UMAP (2018 - 2019)
- 2018, Distinguished reviewer by ACM Transactions on Interactive Intelligent Systems
- 2017, Distinguished Student Supervisor Nominee , Illinois Institute of Technology, Chicago, USA
- 2017, Distinguished reviewer by ACM Transactions on Interactive Intelligent Systems
- 2015, Best paper award at SOCRS, Chicago, USA
- 2015, Finalist at ACM Student Research Competition@ACM SAC, Spain
- 2014-2016, Being selected to participate in ACM Student Research Competition @ ACM SAC
- 2016-2018, AWS Educate Credit
- 2015-2016, AWS Educate Student Credit
- 2016, Travel Award: UMAP, SAC
- 2015, Being selected as a finalist in the ACM Student Research Competition at ACM SAC 2015
- 2015, Travel Award: ICDM, IUI, SAC, UMAP, DSS
- 2014, Travel Award: RecSys, SAC
- 2013, Travel Award: KDD, UMAP
Sponsors & Collaborators
Academic & Professional Services
University | department services.
- ITM Tenure Track Faculty Search Committee (Chair), 2024 - 2025
- IIT Campus Committee on Promotion and Tenure (CAMCOPT), 2024 - 2025
- IIT Research Council, 2024 - Present
- ITM Chair Search Committee, 2024
- ITM Tenure Track Faculty Search Committee, 2023 - 2024
- Co-Director of the PhD Program in ITM Department, 2023 - Present
- ITM Grant Search Coordinator, 2023 - Present
- ITM Tenure Track Faculty Search Committee, 2022 - 2023
- Teaching Faculty Search Committee, 2022 - 2023
- Strengthening Research Committee, College of Computing, 2021 - 2022
- Graduate Studies Committee, Illinois Institute of Technology, 2018 - 2021
- ITM Chair Search Committee, 2021
- Committee for Joint Statistics Course, 2020
- Academic Grievance Committee member, 2016
- Thesis Defense Committee for ITM-Spain Joint Master Program, 2016 - Present
- ITM Tenured/Tenure-Track Faculty Committee, 2018 - Present
- ITM Curriculum Coordinator for Data Analytics, 2016 - Present
- ITM Curriculum Committee, 2016 - Present
- ITM Faculty Committee, 2016 - Present
Conference Organizations
- Sponsor Chair, ACM IUI, USA, Mar, 2025
- Student Support Co-Chair, ACM UMAP, Italy, July, 2024
- Sponsor Co-Chair, ACM IUI, USA, Mar, 2024
- Publicity Co-Chair, ACM RecSys, Singapore, Sep, 2023
- Sponsor Chair, ACM UMAP, Cyprus, June, 2023
- Sponsor Chair, ACM IUI, Australia, Mar, 2023
- Program Chair, ACM SIGITE, USA, Sep, 2022
- Proceedings Chair, ACM SIGITE, USA, Sep, 2022
- Student Support Co-Chair, ACM Hypertext, Spain, July, 2022
- Student Support Co-Chair, ACM UMAP, Spain, July, 2022
- Student Support Co-Chair, ACM UMAP, Netherlands, June, 2021
- Student Volunteer Co-Chair, ACM IUI, USA, April, 2021
- Student Support Co-Chair, ACM UMAP, Italy, July, 2020
- Student Support Co-Chair, ACM UMAP, Cyprus, June, 2019
- Publicity Co-Chair, ACM IUI, USA, March, 2019
- Student Support Co-Chair, ACM UMAP, Singapore, July, 2018
- Publicity Co-Chair, ACM RecSys, Canada, Oct, 2018
- Publicity Co-Chair, ACM IUI, Japan, March, 2018
Track | Workshop Organizations
- Workshop Co-Chair, The 1st International Workshop on Decision Making and Optimization in Financial Technologies ( DMO-FinTech ) at PAKDD 2024
- Workshop Co-Chair, Optimizing Human Learning. 4th Workshop eliciting Adaptive Sequences for Learning ( WASL 2024 ) at LAK 2024
- Workshop Chair, Hands-on Workshop on Academic Writing by Using Latex at ACM SIGITE 2023
- Track Co-Chair, Track on Recommender Systems with Decision Making at the 23rd International Conference on Group Decision and Negotiation, 2023 (cancelled)
- Workshop Co-Chair, The 3rd Workshop on Personalization & Recommender Systems in Financial Services ( FinRec ) at ACM RecSys 2022
- Track Co-Chair, Track on Recommender Systems at ACM SAC 2017, 2018, 2019, 2020, 2021, 2022
- Track Co-Chair, Track on Recommender Systems at AAAI FLAIRS 2018
- Workshop Co-Chair, The 2nd Workshop on Intelligent Recommender Systems by Knowledge Transfer and Learning ( RecSysKTL ) at ACM RecSys 2018
- Workshop Co-Chair, The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer and Learning ( RecSysKTL ) at ACM RecSys 2017
- Workshop Co-Chair, The Workshop on Web Personalization & Social Media at IEEE/WIC/ACM WI 2017
- Session Chair, IEEE/WIC/ACM Conference on Web Intelligence 2017
- Track Co-Chair, Track on Recommender Systems at AAAI FLAIRS 2017
- Workshop Co-Chair, The Workshop on Educational Recommender Systems at IEEE/WIC/ACM WI 2016
- Session Chair, The Workshop on Emotions and Personality in Personalized Systems at ACM RecSys 2016
Senior Program Committee Member
- ACM Conference on Information and Knowledge Management (CIKM): 2024 (Short Paper Track)
- ACM Conference on Information and Knowledge Management (CIKM): 2023 (Demo Track)
Technical Program Committee Member (Selected)
- International Joint Conference on Artificial Intelligence (IJCAI): 2022
- International World Wide Web Conference (WWW): 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2023, 2022, 2021
- ACM Conference on Web Search and Data Mining (WSDM): 2024, 2023, 2022, 2021
- ACM Conference on Information Retrieval (SIGIR): 2024, 2023, 2022, 2021, 2020, 2019, 2018
- ACM Conference on Recommender Systems (RecSys): 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017
- ACM Conference on User Modeling, Adaptation & Personalization (UMAP): 2023, 2022, 2021, 2018, 2017, 2016, 2015
- ACM Conference on Intelligent User Interfaces (IUI): 2019, 2018, 2017, 2016
- ACM Symposium on Applied Computing (SAC): 2014
- ACM Conference on Human Information Interaction & Retrieval (CHIIR): 2017
- ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE): 2022
- ACM Global Computing Education Conference (CompEd): 2019
- ACM Conference on Information Technology Education (SIGITE): 2023, 2018
- International Conference on Artificial Intelligence in Education (AIED): 2024
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD): 2023
- SIAM International Conference on Data Mining (SDM): 2023
- European Conference on Information Retrieval (ECIR): 2018
- International Conference on Weblogs and Social Media (ICWSM): 2018, 2017, 2014
- Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD): 2018, 2017
- International Conference on Electronic Commerce and Web Technologies (EC-WEB): 2013
Grant Proposal Reviewer | Panelist
- 2023, NSF Panelist, Division of Information and Intelligent Systems at NSF
- 2019, External reviewer, Netherlands Organisation for Scientific Research (NWO)
- 2016, Ad Hoc Reviewer, US National Science Foundation (NSF)
Editorial Services
- Editorial Board
- 2024 - Present, Associate Editor at Education and Information Technologies ( EAIT ), Springer
- 2023 - Present, Associate Editor at Frontiers in Big Data ( FIBD ), Frontiers
- 2021 - 2023, Review Editor at Frontiers in Big Data ( FIBD ), Frontiers
- 2022 - Present, Editorial Board, Journal of Intelligent Information Systems ( JIIS ), Springer
- 2020 - Present, Editorial Board, International Journal of Entertainment Technology and Management ( IJEntTM )
- Journal Guest Editor
- 2024 - 2025, Lead Guest Editor, Special issue on AI for Financial Services and Applications @ Discover Data, Springer
- 2023 - 2024, Lead Guest Editor, Special Issue on " Multi-Criteria/Multi-Objective Decision Making and Recommender Systems " at Applied Sciences, MDPI
- 2022 - 2023, Lead Guest Editor, Special Issue on " Information Technology Education " at Education and Information Technologies (EAIT), Springer
- 2023, Guest Editor, Special Issue on " Challenges and New Opportunities in Next-Generation Recommender Systems " at Electronics, MDPI
- 2022, Guest Editor, Topic on " Rising Stars in Recommender Systems 2022 " at Frontiers in Big Data, Frontiers
- 2022, Lead Guest Editor, Special Issue on " Affective Computing and Recommender Systems " at Applied Sciences, MDPI
- 2021 - 2022, Lead Guest Editor, Special Issue on " Advances in Recommender Systems " at Journal of Intelligent Information Systems, Springer
Invited Speakers & Panelist
- Invited Speaker, at the 4th Workshop eliciting Adaptive Sequences for Learning ( WASL 2024 ) at LAK 2024, Mar, 2024
- Invited Consultant and Panelist, at the Workshop on Recommender Systems in Education held by AI.EDU Research Lab at the FernUniversität in Hagen, Germany on Nov 3, 2023
- Selected Speaker, at INFORMS Business Analytics Conference, Aurora, CO, USA, April 16-18, 2023
- Invited Keynote Speaker, at the International Workshop on News Recommendation and Analytics ( INRA ) @ ACM SIGIR 2022 , July 2022
- Invited Panelist, at the International Workshop on News Recommendation and Analytics ( INRA ) @ ACM SIGIR 2022 , July 2022
- Invited Conference Speaker, at the 1st International Electronic Conference on Information ( IECI 2021 ), December, 2021
- Invited Keynote Speaker, at the International Workshop on Context-Aware Recommender Systems ( CARS ) @ ACM RecSys 2020 , Sep, 2020
- Invited Speaker, at Information Retrieval Group Seminars , School of Computing Science , The University of Glasgow , UK, July 7, 2017
Journal Reviewer
- TOIS , ACM Transactions on Information Systems
- TORS , ACM Transactions on Recommender Systems
- TOIT , ACM Transactions on Internet Technology
- TWeb , ACM Transactions on the Web
- TMIS , ACM Transactions on Management Information Systems
- TIST , ACM Transactions on Intelligent Systems and Technology
- TiiS , ACM Transactions on Interactive Intelligent Systems (distinguished reviewer)
- TKDE , IEEE Transactions on Knowledge and Data Engineering
- TLT , IEEE Transactions on Learning Technologies
- TCSS , IEEE Transactions on Computational Social Systems
- TIFS , IEEE Transactions on Information Forensics & Security
- TETC , IEEE Transactions on Emerging Topics in Computing
- IEEE-IS , IEEE Intelligent Systems
- UMUAI , User Modeling and User-Adapted Interaction
- InfoSci , Information Sciences, Elsevier
- KBS , Knowledge-Based Systems
- NC , Neurocomputing, Elsevier
- IPM , Information Processing and Management
- ASOC , Applied Soft Computing
- AGNT , Autonomous Agents and Multi-Agent Systems
- WWWJ , World Wide Web: Internet and Web Information Systems
- ECRA , Electronic Commerce Research and Applications
- FGCS , Future Generation Computer Systems
- JASIST , Journal of the Association for Information Science and Technology
- SIMPAT , Simulation Modelling Practice and Theory
- IJITDM , International Journal of Information Technology & Decision Making
- [email protected]
- PMC , Pervasive and Mobile Computing
- WIAS , Web Intelligence: An International Journal
- JIIS , Journal of Intelligent Information Systems
- JITT , Journal of Information Technology & Tourism
- SLE , Smart Learning Environments
- IJEntTM , International Journal of Entertainment Technology and Management
- IJSNM , International Journal of Social Network Mining
- JIIS , Journal of Internet and Information Systems
- IxD&A , Interaction Design and Architecture (s) Journal
- MDPI Journals: Applied Science , Information
Publications
Journal publications.
- Yong Zheng . " Investigating Influential Factors in Group Learning: Personality Traits, COVID-19 Lockdowns and Back-to-School Policies ", Discover Education , Vol. 3, 219, Springer, 2024
- Yong Zheng , Kumar Neelotpal Shukla, Jasmine Xu, David (Xuejun) Wang, Michael O'Leary. " MOPO-LSI: An Open-Source Multi-Objective Portfolio Optimization Library for Sustainable Investments ", Software Impacts , Vol. 16, 100499, Elsevier, 2023
- Yong Zheng , Shuaiqi Zheng. " Exploring Educational Impacts Among Pre, During and Post COVID-19 Lockdowns From Students with Different Personality Traits ", International Journal of Educational Technology in Higher Education , Vol. 20(1):21, Springer, 2023
- Yong Zheng , David (Xuejun) Wang. " Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation Framework ", IEEE Access , Vol. 10, p. 90715-90725, IEEE, 2022
- Yong Zheng . " DeepCARSKit: A Deep Learning Based Context-Aware Recommendation Library ", Software Impacts , Vol. 13, 100292, Elsevier, 2022
- Yong Zheng . " Non-Dominated Differential Context Modeling for Context-Aware Recommendations ", Applied Intelligence , Vol. 52 (9), p. 10008–10021, Springer, 2022
- Yong Zheng , David (Xuejun) Wang. " A Survey of Recommender Systems with Multi-Objective Optimization ", Neurocomputing , Vol. 474, p. 141-153, Elsevier, 2022
- Yong Zheng . " Context-Aware Collaborative Filtering Using Context Similarity: An Empirical Comparison ". Information , Vol. 13 (1): 42, MDPI, 2022
- Yong Zheng , Juan Ruiz Toribio. " The Role of Transparency in Multi-Stakeholder Educational Recommendations ". User Modeling and User-Adapted Interaction , Vol. 31 (3):5, p. 513–540, Springer, 2021
- Yong Zheng , Archana Subramaniyan. " Personality-Aware Recommendations: An Empirical Study In Educations ". International Journal of Grid and Utility Computing , Vol. 12 (5/6), p. 524-533, Inderscience Publishers, 2021
- Yong Zheng . " Penalty-Enhanced Utility-Based Multi-Criteria Recommendations ". Information , Vol. 11 (12): 551, MDPI, 2020
- Diego Sánchez-Moreno, Yong Zheng, and María N. Moreno-García. " Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach ". Applied Sciences , Vol. 10 (15): 5324, MDPI, 2020
- Yong Zheng . " Preference Corrections: Capturing Student and Instructor Perceptions in Educational Recommendations ", Smart Learning Environments , Vol. 6 (1):29, Springer, 2019
- Yong Zheng . " Multi-Criteria Recommendations By Using Criteria Preferences as Contexts ", Towards Integrated Web, Mobile, and IoT Technology , Lecture Notes in Business Information Processing (LNBIP), Vol. 347, Springer, 2019
Conference Publications
The list of full publications can be found via Google Scholar ( ), DBLP ( ), ResearchGate ( ).
Conference Tutorials
- Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng and Jon Atle Gulla. "Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges", The 27th European Conference on Artificial Intelligence (ECAI), Oct, 2024 ( Tutorial Website )
- Yong Zheng . " Tutorial: Educational Recommender Systems ", The 24th International Conference on Artificial Intelligence in Education (AIED), Japan, July 2023 ( Tutorial Website )
- Yong Zheng . "Educational Recommender Systems", The 14th IEEE Global Engineering Education Conference (EDUCON), Kuwait, May, 2023
- Yong Zheng , David (Xuejun) Wang. " Multi-Criteria Decision Making and Recommender Systems ", The 28th ACM Conference on Intelligent User Interfaces (ACM IUI), Sydney, Australia, March, 2023
- Yong Zheng , David (Xuejun) Wang. "Multi-Objective Optimization and Recommendations", at the IEEE International Conference on Data Mining (ICDM), Dec, 2022 ( Tutorial Website )
- Yong Zheng , David (Xuejun) Wang. " Multi-Objective Recommendations ", Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Aug, 2021 ( Tutorial Website )
- Yong Zheng , David (Xuejun) Wang. "Recommender Systems with Multi-Objective Optimization", ACM Conference on Recommender Systems (RecSys), 2021 (Accepted, but finally withdrawn due to that we cannot attend the conference in-person)
- Muthusamy Chelliah, Yong Zheng , Sudeshna Sarkar, Vishal Kakkar. " Recommendation for Multi-Stakeholders and through Neural Review Mining ", Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, Nov, 2019 ( Tutorial Website )
- Yong Zheng . " Multi-Stakeholder Recommendations: Case Studies, Methods and Challenges ", Proceedings of the 13th ACM Conference on Recommender Systems (RecSys), Copenhagen, Denmark, September 19th, 2019 ( Slide and Demo )
- Yong Zheng . " Context-awareness In Information Retrieval and Recommender Systems ", Proceedings of the 15th IEEE/WIC/ACM International Conference on Web Intelligence (WI'16), Omaha, USA, Oct 2016 ( Slide )
- Yong Zheng . " Context In Recommender Systems ", Proceedings of the 31st ACM SIGAPP Symposium on Applied Computing (ACM SAC), Pisa, Italy, April 2016 ( Slide )
- Yong Zheng, Hanna Hauptmann, Guibing Guo. " ACM Conference on Recommender Systems September 18--22, 2023 at Singapore ". ACM SIGWEB Newsletter. 2023, Summer, Article 2 (Summer 2023), pp. 1-4, ACM
Technical Reports
- Yong Zheng, Kumar Neelotpal Shukla, Jasmine Xu, David (Xuejun) Wang, Michael O'Leary. " MOPO-LSI: A User Guide ", CoRR abs/2307.01719. July, 2023
- Yong Zheng, David (Xuejun) Wang. " Multi-Objective Recommendations: A Tutorial ". CoRR abs/2108.06367. Aug, 2021
- Yong Zheng. " A User's Guide to CARSKit ". CoRR abs/1511.03780. Nov, 2015
Translations
- Chapter 11: Recommender Systems in Industry: A Netflix Case Study, In Book: edited by Francesco Ricci, et al., Recommender Systems Handbook Second Edition (推荐系统手册第二版, ISBN: 9787111600756), China Machine Press, 2018; Amazon.com , JD.COM
- Several book chapters In Book: edited by Hanhua Lu, et al., Framework and Application of Shared Information and Data (共享信息与数据框架及其应用; ISBN: 7115245118), Posts & Telecom Press, Beijing, China, December, 2010; JD.COM
Open-Source Products
- ITM-Rec : An Open Data Set for Educational Recommender Systems
- DePaulMovies : A Movie Rating Dataset for Context-Aware Recommendations
- MOPO-LSI : A Multi-Objective Portfolio Optimization Library for Sustainable Investments.
- DeepCARSKit : A Deep Learning Based Context-Aware Recommendation Library.
- CARSKit : A Java-Based Open-Source Library for Context-Aware Recommendations.
Invited Talks
- Invited Keynote Speech
- Yong Zheng. "Challenges in Educational Recommender Systems", Invited Keynote Speech at the 4th Workshop on Eliciting Adaptive Sequences for Learning ( WASL ) @ LAK 2024 , Mar, 2024
- Yong Zheng. "Multi-Objective Optimization and News Recommendations", Invited Keynote Speech at the International Workshop on News Recommendation and Analytics ( INRA ) @ ACM SIGIR 2022 , Spain, July 2022
- Yong Zheng. "Recommender Systems Using Multi-Objective Optimization: An Overview", Invited talk at the 1st International Electronic Conference on Information ( IECI 2021 ), December, 2021
- Yong Zheng. "Extending Contexts to Multi-Entity Recommender Systems", Invited Keynote Speech at CARS workshop @ ACM RecSys 2020 , Sep, 2020
- Other Invited Talks or Panelist
- Yong Zheng. "Multi-Criteria Ranking for Recommender Systems", Selected Speech at INFORMS Business Analytics Conference, Aurora, CO, USA, April 16-18, 2023
- Shlomo Engelson Argamon, Yong Zheng. "Demystifying Data Science for Business Intelligence: Understanding Its Landscape and Deploying It Effectively", Invited talk at AT&T, Inc. September, 2021
- Yong Zheng. "Multi-Stakeholder Recommendations", Invited talk at Morningstar, Inc. , Dec, 2019
- Yong Zheng. "Context-Aware Recommendations", Invited talk at Information Retrieval Group Seminars , School of Computing Science , The University of Glasgow , UK, July 7, 2017
- Industry visit and talks "Context-Aware Recommendations" at NPAW (Nice People At Work) , Barcelona, Catalunya, Spain, March 31, 2017
- Yong Zheng. "Classification: Supervised Learning". Invited Talk at College of Computing, Illinois Institute of Technology , Chicago, USA, April, 2016
- Yong Zheng. "Context-aware Recommendation: A Quick View". Invited Talk at graduate student class CSC 480 – Artificial Intelligence, DePaul University , Chicago, USA, Feb 23, 2016
- Yong Zheng. "When Contexts Meet Recommendations". Invited Talk at Leonard N. Stern School of Business, New York University , New York, USA, Feb, 2016
- 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
- Yong Zheng. "Context-aware Splitting Approaches: split users or split items?". Research Colloquium, School of Computing, DePaul University , Chicago, USA, Sep 27, 2013
- Yong Zheng. "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
Student Supervision
- PhD Students (Research Projects & Thesis)
- 2024 - Present, TBA
- 2016 - 2020, Diego Sanchez-Moreno* (Part-time PhD Student at University of Salamanca, Spain) Dissertation: Improving collaborative filtering music recommender systems: a focus on user characterization from behavioral and contextual factors
- Graduate Students in the Joint Program with Universities in Spain (Research Projects & Thesis)
- Maria Delgado Franco, Beatriz Blanco, Project: Grey Sheep Users In RecSys
- Arturo Pavon Estrade, Project: Personality-Aware Recommendations
- Juan Ruiz Toribio*, Project: Transparency and Fairness
- Alejandro Susillo Ridao*, Project: AI for Education
- Raquel Noblejas Sampedro, Project: Mobile Security
- Jorge Torres, Project: Group RecSys
- Gonzalo Florez Arias*; Project: Recommender Systems based on Deep Learning
- Guillermo Canete; Project: Generative Reviews
- Paula Labandeira Campos; Project: Multi-Criteria Recommender Systems
- Other Graduate Students at ITM Department (Research Projects )
- Ruthvik Kilaru, Munawar Ali, Navaneeth Kamath; Project: AI for Education
- Arnold Liu*; Project: Data Science Running Efficiency Over Computing Machines/Clusters
- Shuaiqi Zheng*; Project: Impacts on Educational Learning by the COVID-19 Pandemic
- Mili Singh*, Mayur Agnani*; Project: Identification of Grey Sheep Users In Recommender Systems
- Tanaya Dave*, Neha Mishra*, Harshit Kumar*; Project: Reciprocal Recommendations
- Shephalika Shekhar*; Project: Multi-Criteria Recommender System
- Alisha Anna Jose*; Project: Context-Aware Recommender System
- Nastaran Ghane*, Milad Sabouri*; Project: Multi-Stakeholder Recommendations
- Sridhar Srinivasan*, Kim Taehun*; Project: Malware Detection and Usage Analysis In Mobile Apps
- Archana Subramaniyan*; Project: Personality-Aware Recommendations
- Vih Dogo*, Yash Agrawal*, Shubham Sudhir Madke*; Project: Crime Predictions over the Chicago Transit Authority Services, a collaboration with Digby's Detective & Security Agency, Inc.
Teaching Interests
- Data Science & AI: Database, Data Analytics, Data Mining, Machine Learning, Artificial Intelligence
- Web Intelligence: Information Retrieval, Recommender Systems, Natural Language Processing, Decision Making
Teaching History
Year Spring Semester (Jan to May) Summer Semester (May to Aug) Fall Semester (Aug to Dec) 2016 ITMD 510 (OOP) ITMD 523 (Data Management) ITMD 525 (Data Science) 2017 ITMD 523 (Data Management) ITMD 525 (Data Science) ITMD 527 (Data Analytics) ITMD 523 (Data Management) ITMD 525 (Data Science) ITMD 527 (Data Analytics) 2018 ITMD 525 (Recommender Systems) ITMD 525 (Data Science) ITMD 527 (Data Analytics) ITMT 597 (Independent Research) ITMD 525 (Data Science) ITMD 527 (Data Analytics) ITMT 597 (Independent Research) 2019 ITMD 525 (Data Science) ITMD 527 (Data Analytics) ITMT 597 (Independent Research) ITMD 527 (Data Analytics) ITMD 525 (Data Science) ITMD 527 (Data Analytics) ITMT 597 (Independent Research) 2020 ITMD 525 (Data Science) ITMD 527 (Data Analytics) ITMT 597 (Independent Research) ITMD 527 (Data Analytics) ITMT 597 (Independent Research) ITMD 525 (Data Science) ITMD 527 (Data Analytics) 2021 ITMD 525 (Data Science) ITMT 595 (Applied AI) ITMT 597 (Independent Research) ITMD 522 (Data Science) ITMD 524 (Applied AI) ITMT 597 (Independent Research) 2022 ITMD 321 (Data Management) ITMD 522 (Data Science) ITMT 597 (Independent Research) ITMD 514 (Data Analytics) ITMT 597 (Independent Research) ITMD 522 (Data Science) ITMD 523 (Data Management) ITMT 597 (Independent Research) 2023 ITMD 522 (Data Science) ITMD 523 (Data Management) ITMT 597 (Independent Research) ITMD 514 (Data Analytics) ITMT 597 (Independent Research) ITMD 514 (Data Analytics) ITMD 522 (Data Science) ITMD 523 (Data Management) ITMT 597 (Independent Research) 2024 ITMD 522 (Data Science) ITMD 523 (Data Management) ITMT 597 (Independent Research) CSP 572 (Data Science Practicum) ITMT 597 (Independent Research) CSP 572 (Data Science Practicum) ITMD 522 (Data Science) ITMD 523 (Data Management) 2025 ITMD 522 (Data Science) ITMD 524 (Applied AI)
Useful URLs
Category URLs IIT OKTA , Calendar , LibraryDB , MyILL , TechCash , Microsoft DreamSpark Premium , Wageworks Research Google Scholar Metrics , AI Confs , WikiCFP , ConfRanks , Relevant Journals Latex ChatGPT , TablesGenerator , HostMath , Draw.io , Overleaf RecSys ACM RecSys , Data Sets , RecSys community Social -->
Zheng's Lab
Understanding Physiology in the Nanoregime
Month: August 2018
Old news (feb 2018- nov 2021).
November 2021: Qinhan and Siqing passed their PhD thesis defense! Congratulations and couldn’t be more happy for you!
August 2021: Wei Xiao joined our group as a graduate student! Welcome!
June 2021: Samira passed her PhD qualifying examination! Congrats!
September 2020: Xingya and Qinhan’s paper “Noninvasive monitoring of hepatic glutathione depletion through fluorescence imaging and blood testing.” was published by Science Advances . Great Job! (Highlighted by UT Dallas News: Study Shows Simple Blood Test Could Detect Liver Injury Earlier | News Center (utdallas.edu) )
September 2020: Bujie’s paper “Hyperfluorescence imaging of kidney cancer enabled by renal secretion pathway dependent efflux transport.” was published by Angew. Chem. Int. Ed. Good Job!
August 2020: Yingyu passed his PhD thesis defense! Congratulations and happy graduation!
June 2020: Chuanqi and Yingyu’s review paper “Renal clearable nanocarriers: Overcoming the physiological barriers for precise drug delivery and clearance.” was published by Journal of Controlled Release . Good Job!
May 2020: Hasti Shafie joined our group as a graduate student! Welcome!
April 2020: Xingya’s paper “Cancer photothermal therapy with ICG-conjugated gold nanoclusters.” was published by Bioconjugate Chemistry . Great Job!
April 2020: Shaoheng and Yingyu’s paper “Salivary Excretion of Renal-Clearable Silver Nanoparticles.” was published by Angew. Chem. Int. Ed. Congratulations!
March 2020: Dr. Zheng was selected to the AIMBE College of Fellows !Congratulations, Dr.Zheng! (News from the AIMBE: Jie Zheng Dr. Jie Zheng Inducted into AIMBE College of Fellows – AIMBE )
March 2020: Dr. Mengxiao Yu received her first NIH R01 grant that focuses on fundamental understanding of the transport and interactions of engineered nanoparticles in the renal proximal tubules. Congratulations! NIH Awards $1.4 Million for Research on Kidney-Safe Nanomedicines – Office of Research and Innovation (utdallas.edu)
December 2019: Chuanqi’s paper “In situ ligand-directed growth of gold nanoparticles in biological tissues.” was published by Nano Letters . Good Job!
November 2019: Bujie’s paper “Tailoring kidney transport of organic dyes with low-molecular-weight PEGylation. ” was published by Bioconjugate Chemistry .Congratulations!
August 2019: Bujie, Xingya and Chuanqi passed their PhD thesis defense! Congratulations to you all and happy graduation!
July 2019: Xingya’s paper “Glutathione-mediated biotransformation in the liver modulates nanoparticle transport “ was published by Nature Nanotechnology . Great Job! (Highlighted by UT Dallas News Center: Chemists Close Gap in Making Nanomedicines Safer, More Efficient – News Center | The University of Texas at Dallas (utdallas.edu) )
May 2019: Chuanqi’s paper “Tuning in vivo transport of anticancer drugs with renal clearable gold nanoparticles.” was accepted by Angew. Chem. Int. Ed. Congratulations!
May 2019: Congratulations to Bujie for receiving Chinese Government award for outstanding self-financed students aboard. Good job!
April 2019: Bujie’s received IKA Graduate Research Leadership Fellowship Award . Congratulations!
March 2019: Xingya’s paper “ Photoacoustic Imaging of Nanoparticle Transport in the Kidneys at High Temporal Resolution ” was published by Angew. Chem. Int. Ed. Good job!
December 2018: Dr. Mengxiao Yu was highlighted by Nanomedicine (Lond) as a female scientist in the field of developing nanomedicines and imaging nanotechnology for kidney disease. Congratulations Dr. Yu! How nanotechnology imaging can be used in kidney disease: an interview with Dr Mengxiao Yu | Nanomedicine (futuremedicine.com)
November 2018: Samira Ahrari joined our group as a graduate student. Welcome!
September 2018: Mengxiao paper “ Renal Clearable Luminescent Gold Nanoparticles: From the Bench to the Clinics ” was published by Angew. Chem. Int. Ed. Congratulations!
September 2018: Xingya’s paper “ Ultrasmall noble metal nanoparticles: Breakthroughs and biomedical implications ” was pubulished by Nano today. Well done!
June 2018: Bujie’s paper “ Transport and Interactions of Nanoparticles in the Kidneys ” was accepted by Nature Reviews Materials . Great job!
May 2018: Prof. Dr. Zheng received Cecil H. and Ida Green Professor fellowship in Systems Biology Science. Congratulations!
May 2018: Shaoheng’s paper “ Antibacterial Activity of Silver Nanoparticles: Structural Effects ” was published by Advanced healthcare materials . Well done!
March 2018: Yingyu’s paper “ Luminescence mechanisms of ultrasmall gold nanoparticles ” was published by Dalton Transactions . Congratulations!
Feburary 2018: Congratulations to Mr. Qinhan Zhou for passing his qualifying exam. Good job!
Georgia Institute of Technology
Iedm 2018 work highlighted in nature electronics.
Nature Electronics ran a highlight on our ferroelectric spiking neuron work published at IEDM 2018 ( link , pdf ).
| [ , Full CV ) , (joint appointment), UCSB , (joint appointment, effective in 07/2019), UCSB |
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, 805-893-7294 4109 Harold Frank Hall, University of California, Santa Barbara, CA 93106 |
Checklist for paper writing : I have prepared a detailed checklist to help science/engineering graduate students improving their paper writing.
To prospective PhD students: Please read this document if you are thinking about pursuing a PhD degree. The skill sets required for PhD research are very different from those required for undergraduate study. In undergraduate study, a student learns existing knowledge that were created by others (probably a few hundred years ago). A PhD student is expected to create new knowledge . A student doesn't have to be super smart or to have a perfect GPA in order to be an excellent PhD student, but he/she may need to be self-motivated for scientific research, curious about unknown/new fields, open-minded to different opinions, and persistent when facing research challenges (or even failures).
R ESEARCH INTERESTS
We work at the intersection of computational data science (e.g., uncertainty quantification, tensor computation, scientific machine learning) and hardware systems. Currently we focus on two broad directions:
Our research is supported by both government funding agencies (e.g., NSF, DOE) and industries (e.g., Meta, Intel, Amazon and Samsung). We are actively collaborating with industrial research teams (e.g., Meta, Intel, Cadence, HP, Amazon, and NVIDIA) to make practical impact.
SELECTED PUBLICATIONS
More publications...
2022: Meta Research Award.
2021: ACM SIGDA Outstanding New Faculty Award ( link ); IEEE CEDA Ernest S. Kuh Early Career Award ( link ).
2020: Best Paper Award of IEEE Trans. on Components, Packaging and Manufacturing Technology ( link to paper ); Facebook Research Award; Best Student Paper Award at EPEPS (by PhD advisee Zichang He, link to paper ).
2019: NSF CAREER Award; Rising Stars in Computational and Data Sciences (by my advisee Chunfeng Cui) ; Rising Stars in EECS (by my advisee Chunfeng Cui) .
2018: Best Paper Award of IEEE Transactions on Components, Packaging and Manufacturing Technology ( link to ppaer ); Best Conference Paper Award at IEEE EPEPS ( link to paper ).
2016: ACM Outstanding PhD Dissertation Award in Electronic Design Automation ( link ); Best Paper Award at International Workshop on Signal and Power Integrity.
2015: MIT Microsystems Technology Labs (MTL) Doctoral Dissertation Seminar Award ( link ).
2014: Donald O. Pederson Best Paper Award of IEEE Transactions on CAD of Integrated Circuits and Systems ( link ); Best Paper Nomination at IEEE CICC.
2011 : Li Ka-Shing Prize (best M.Phil/Ph.D thesis award) from the University of Hong Kong ( link ); best paper nominations at ICCAD2011 and ASP-DAC2011.
Associate Editor: ACM SIGDA Newsletters (2018-2019);
TPC Member : ICCAD (2016-2018), DAC (2017, 2018);
Award Committee : ACM SIGDA Best Dissertation Award Committee (2018), DAC Best Paper Award Committee (2018), ICCAD Best Paper Award Committee (2018)
COMMENTS
This trend drives the usage of multi-level modulation schemes, such as PAM4. As a result, ADC-DSP based links are gaining more attention and are now heavily investigated. ADC links also take advantage of the intrinsic bandwidth and area improvements from process technology scaling. It is becoming very difficult for conventional mixed-signal ...
1 Abstract Digital children's literature is a relatively recently established field of research that has been seeking for its theoretical base and defining its position and scope.
Wentian Zheng Department of Chemical Engineering University College London Torrington Place London WC1E 7JE April 2018. DEPARTMENT OF CHEMICAL ENGINEERING I I, Wentian Zheng confirm that the work presented in this thesis is my own. Where ... This thesis presents the development, testing and validation of various transient flow ...
Jiaxiao Zheng, Ph.D. The University of Texas at Austin, 2019 Supervisor: Gustavo de Veciana In this thesis we explore two novel resource allocation models. The rst addresses challenges associated with dynamic sharing of network resources by multiple tenants/services via network slicing. The second focuses on a
PhD in Computer Science, 2018. Shanghai Jiao Tong University, China. BE in Electrical Engineering, 2012 ... Wei-Long Zheng (2018). Affective Brain-Computer Interactions. Ph.D. Thesis, Shanghai Jiao Tong University, China. ... Chinese Association for Artificial Intelligence (CAAI) Outstanding Doctoral Dissertation Award 2019; IEEE Transactions ...
H Zheng, M Tegmark, V Buza, JS Dillon, H Gharibyan, J Hickish, E Kunz, ... Monthly Notices of the Royal Astronomical Society 445 (2), 1084 ... IEEE Solid-State Circuits Letters 1 (12), 249-252, 2018. 57: 2018: Understanding metastability in SAR ADCs: part II: asynchronous. A Yu, D Bankman, K Zheng, B Murmann. IEEE Solid-State Circuits Magazine ...
K. Zheng, System-Driven Circuit Design for ADC-Based Wireline Data Links, Ph.D. Dissertation, Stanford University (2018) Google Scholar J. Savoj et al, A wide common-mode fully-adaptive multi-standard 12.5 Gb/s backplane transceiver in 28 nm CMOS, VLSI (2012) Google Scholar
This PhD thesis came as a result of support and encouragement from a group of incredible people, whom I am fortunate to have in my life. Foremost, my principal supervisor Chia-Ling Yang is the ... (accessed 12 June 2018). Figure 4: Zheng Chongbin, photograph taken during the graduation project fieldtrip to Tibet, 1983, Private Collection ...
The Dissertation Committee for Xing Zheng Certifies that this is the approved ... May 2018 . iv Dedication This body of work is dedicated to my adviser David R. Maidment and co-adviser ... I would like to thank my advisor, Dr. David Maidment for his guidance and visions. Being his last PhD student is definitely the most glorious moment in my ...
297. 2016. Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons. Z Pang, F Niu, Z O'Neill. Renewable Energy 156, 279-289. , 2020. 262. 2020. Uncertainty and sensitivity decomposition of building energy models.
2018 Zheng r Phd - Free ebook download as PDF File (.pdf), Text File (.txt) or read book online for free. This document is a PhD thesis submitted by Rui Zheng to Cardiff University in 2017 on the topic of SSR mitigation with TCSC in power systems. The thesis contains 4 chapters that investigate the capability of Thyristor-Controlled Series Capacitor (TCSC) devices for mitigating Sub ...
Zheng, Lukai (2018) Combustion Visualisation Monitoring Using High Speed Imaging. PhD thesis, University of Sheffield. Abstract. Optical visualisation of flames plays an important role in the in-depth understanding of complex combustion phenomena. In particular, a high-speed camera can provide nonintrusive and continuous monitoring of flames.
Abstract ii that wind farm-related deforestation led to more peat decomposition and greater DOC release than the construction activities. DOC is dominated by humic substances (HS), which generally can be further divided into
04/28/2020: Zheng is defending his PhD dissertation proposal today. 01/18/2019: Nature Electronics ran a highlight on our ferroelectric spiking neuron work published at IEDM 2018 (link, pdf). 11/12/2018: Zheng's paper on Ferroelectric Spiking Neurons has been accepted at IEDM 2018 (paper 13.3). The ferroelectric neuron/oscillator concept was ...
PhD thesis KTH, October 2018. Weisen Zheng, Thermodynamic and kinetic investigation of systems related to lightweight steels, PhD thesis 2018. Ye Tian, Martensitic transformation in stainless steel, June 2018. Fei Huyan, "Computational Materials Design of Medium Mn Steels", June 2018. Lindsay Leach, "Modeling Bainite Formation in Steels ...
discovery.ucl.ac.uk
Prof. Zijian Zheng(郑子剑) ... Sep 2018 - Jian Chang's paper "Flexible and stable high-energy lithium-sulfur full batteries with only 100% oversized lithium" was accepted by Nat. Comm. ... May 2013 - Xinlei Ma successfully defended her PhD thesis. Congratulations, Dr. Ma !!! Congratulations!
Princeton University
Messages from Dr. Yong Zheng: Call for PhD students: ... 2018, PI, NSF Grant (#1830908) to support students in ACM UMAP (2018 ... PhD Students (Research Projects & Thesis) 2024 - Present, TBA; 2016 - 2020, Diego Sanchez-Moreno* (Part-time PhD Student at University of Salamanca, ...
August 2020: Yingyu passed his PhD thesis defense! Congratulations and happy graduation! June 2020: Chuanqi and Yingyu's review paper "Renal clearable nanocarriers: ... May 2018: Prof. Dr. Zheng received Cecil H. and Ida Green Professor fellowship in Systems Biology Science.
CURRICULUM VITAE of ZHENG ZHANG Address: 4109 Harold Frank Hall, ... ACM SIDGA Outstanding PhD Dissertation Award in EDA (2018), Best Paper Award of ACM Design Automation Conference (2018), Best Paper Award of IEEE/ACM International ... Mr. Kaikai Liu (PhD student at ECE department, UCSB), since 09/2018 Mr. Zichang He (PhD student at ECE ...
04/28/2020: Zheng is defending his PhD dissertation proposal today. 01/18/2019: Nature Electronics ran a highlight on our ferroelectric spiking neuron work published at IEDM 2018 (link, pdf). 11/12/2018: Zheng's paper on Ferroelectric Spiking Neurons has been accepted at IEDM 2018 (paper 13.3). The ferroelectric neuron/oscillator concept was ...
2018: Best Paper Award of IEEE Transactions on Components, Packaging and Manufacturing Technology (link to ppaer); Best Conference Paper Award at IEEE EPEPS (link to paper). 2016: ACM Outstanding PhD Dissertation Award in Electronic Design Automation ( link ); Best Paper Award at International Workshop on Signal and Power Integrity.
The following criteria were utilized for the selection of the site (Lewandowska-Śmierzchalska et al., 2018; Lackey et al., 2023) 2.4.1. Technical considerations. ... (Zheng et al., 2017). Sandstone reservoirs exhibit a significant level of effective porosity, while carbonate and shale reservoirs possess a minimal level of effective porosity. ...