| 2026 | PAKDD | TSRMTGen: Leveraging LLMs for Financial Narrative Summaries from Risk Models. | David Xuejun Wang, Yong Zheng, Josh Charney |
| 2025 | SIGITE | Personalizing Educational Responses with LLMs: The Influence of Knowledge, Interests, and Preferences. | Yong Zheng, Xiaosong Lu, Xintong Yu, Vinay Kambhampati |
| 2024 | AINA | An Empirical Comparison of Outlier Detection Methods for Identifying Grey-Sheep Users in Recommender Systems. | Yong Zheng |
| 2024 | ICDE | Separation Is for Better Reunion: Data Lake Storage at Huawei. | Xin Tang, Chengliang Chai, Dawei Zhao, Haohai Ma, Yong Zheng, Zhenyong Fan, Xin Wu, Jiaquan Zhang, Rui Zhang, Duanshun Li, Yi He, Keji Huang, Guangbin Meng, Yidong Wang, Yuefeng Zhou, Tao Tao, Lirong Jian, Jiwu Shu, Yuping Wang, Ye Yuan, Guoren Wang, Guoliang Li |
| 2024 | SIGITE | Designing a FAQ Chatbot to Enhance Faculty Support. | Sahil Thorat, Yong Zheng, Vivian Jacob Varghese, Anette Volkova |
| 2024 | SIGITE | A Comprehensive Analysis of ACM SIGITE 2003 - 2023 Publications Using LitStudy. | Yong Zheng |
| 2023 | AIED | Tutorial: Educational Recommender Systems. | Yong Zheng |
| 2023 | IUI | Multi-Criteria Decision Making and Recommender Systems. | Yong Zheng, David (Xuejun) Wang |
| 2023 | SIGITE | ChatGPT for Teaching and Learning: An Experience from Data Science Education. | Yong Zheng |
| 2023 | SIGITE | Academic Writing by Using Latex: A Hands-on Workshop. | Yong Zheng |
| 2022 | RecSys | FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. | Toine Bogers, Cataldo Musto, David (Xuejun) Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng |
| 2022 | SIGITE | Pressure Test: Finding Appropriate Data Size for Practice in Data Science Education. | Yong Zheng, Arnold Liu, Shuaiqi Zheng |
| 2022 | SIGITE | A Comparison of Students' Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic. | Yong Zheng, Shuaiqi Zheng |
| 2021 | KDD | Multi-Objective Recommendations. | Yong Zheng, David (Xuejun) Wang |
| 2020 | ICALT | Educational Group Recommendations with Virtual Leaders. | Yong Zheng |
| 2020 | SIGITE | Ride-Share Analysis in Boston City: A Comparison Between Uber and Lyft. | Vih Modeste Dogo, Khushboo Garg, Yong Zheng |
| 2020 | SIGITE | A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition. | Alejandro Susillo Ridao, Yong Zheng |
| 2020 | SIGITE | SIGITE and SIGCSE Symposiums: A Comparative Study. | Yong Zheng |
| 2020 | SIGITE | Fill Students' Knowledge Gap by Recommending Remedial Learning Materials. | Yong Zheng |
| 2020 | SIGITE | Predictive Staffing Model for Transit Security. | Yong Zheng, Shubham Madke, Vih Modeste Dogo, Yash Agrawal |
| 2019 | AINA | Mobile App and Malware Classifications by Mobile Usage with Time Dynamics. | Yong Zheng, Sridhar Srinivasan |
| 2019 | AINA | Personality-Aware Collaborative Learning: Models and Explanations. | Yong Zheng, Archana Subramaniyan |
| 2019 | CIKM | Recommendation for Multi-stakeholders and through Neural Review Mining. | Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar |
| 2019 | ICCE | Discovering the Impact of Student Communities in Educational Recommendations. | Yong Zheng |
| 2019 | ICALT | Multi-stakeholder Personalized Learning with Preference Corrections. | Yong Zheng |
| 2019 | RecSys | Multi-stakeholder recommendations: case studies, methods and challenges. | Yong Zheng |
| 2019 | SAC | Utility-based multi-criteria recommender systems. | Yong Zheng |
| 2019 | SAC | Context-aware recommendations via sequential predictions. | Yong Zheng, Alisha Anna Jose |
| 2019 | SAC | Integrating context-awareness and multi-criteria decision making in educational learning. | Yong Zheng, Shephalika Shekhar, Alisha Anna Jose, Sunil Kumar Rai |
| 2019 | SIGITE | Bikesharing: Analysis and Prediction. | Geeth Priya Kuppusamy, Chandni Thakkar, Yong Zheng |
| 2019 | SIGITE | Exploratory Analysis of Chicago Taxi Rides. | Nikita Shahane, Megha Kaul, Yong Zheng |
| 2019 | SIGITE | A Course on Applied AI and Data Science: Recommender Systems. | Yong Zheng |
| 2019 | SIGITE | A Comparison of Tools for Teaching and Learning Data Analytics. | Yong Zheng |
| 2018 | FlAIRS | Special Track on Recommender Systems. | Nadia Najjar, Yong Zheng |
| 2018 | FlAIRS | Context-Aware Mobile Recommendation By A Novel Post-Filtering Approach. | Yong Zheng |
| 2018 | IUI | Personality-Aware Decision Making In Educational Learning. | Yong Zheng |
| 2018 | IUI | Identifying Dominators and Followers in Group Decision Making based on The Personality Traits. | Yong Zheng |
| 2018 | RecSys | The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). | Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernndez |
| 2018 | SIGITE | Predicting Political Trends By Social Tagging. | Yong Zheng, Mengran Liu |
| 2018 | SIGITE | Exploratory Malware Analysis of Mobile Usages. | Yong Zheng, Sridhar Srinivasan, Taehun Kim |
| 2017 | ADMA | Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems. | Yong Zheng, Mayur Agnani, Mili Singh |
| 2017 | IUI | Criteria Chains: A Novel Multi-Criteria Recommendation Approach. | Yong Zheng |
| 2017 | RecSys | The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). | Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernndez |
| 2017 | SAC | Situation-aware multi-criteria recommender system: using criteria preferences as contexts. | Yong Zheng |
| 2016 | RecSys | Adapt to Emotional Reactions in Context-aware Personalization. | Yong Zheng |
| 2016 | SAC | Context-driven mobile apps management and recommendation: student research abstract. | Yong Zheng |
| 2015 | ICDM | Context Suggestion: Solutions and Challenges. | Yong Zheng |
| 2015 | ICDM | CARSKit: A Java-Based Context-Aware Recommendation Engine. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2015 | IJCAI | Incorporating Context Correlation into Context-aware Matrix Factorization. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2015 | IUI | A Revisit to The Identification of Contexts in Recommender Systems. | Yong Zheng |
| 2015 | SAC | Improve general contextual slim recommendation algorithms by factorizing contexts. | Yong Zheng |
| 2015 | WISE | Similarity-Based Context-Aware Recommendation. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2014 | CIKM | Deviation-Based Contextual SLIM Recommenders. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2014 | RecSys | Deviation-based and similarity-based contextual SLIM recommendation algorithms. | Yong Zheng |
| 2014 | RecSys | CSLIM: contextual SLIM recommendation algorithms. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2014 | SAC | Semi-supervised context-aware matrix factorization: using contexts in a way of "latent" factors. | Yong Zheng |
| 2014 | SAC | Splitting approaches for context-aware recommendation: an empirical study. | Yong Zheng, Robin D. Burke, Bamshad Mobasher |
| 2013 | RecSys | The Role of Emotions in Context-aware Recommendation. | Yong Zheng, Bamshad Mobasher, Robin D. Burke |
| 2011 | IJCAI | Context-Aware Recommendation Based On Review Mining. | Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng |
| 2011 | RecSys | Experience Discovery: hybrid recommendation of student activities using social network data. | Robin Burke, Yong Zheng, Scott Riley |
| 1990 | COMPSAC | EASE: an embedded algebraic specification environment. | Jiahua Qian, Yong Zheng, Liqun Jin, Jinhua Zhang |
| 1989 | COMPSAC | The implementation of nonlocal dependency relationship in interactive environment. | Yong Zheng, Jiahua Qian |