| 2025 | DATE | Fast Dynamic IR-Drop Prediction with Dual-Path Spatial-Temporal Attention. | Bangqi Fu, Lixin Liu, Qijing Wang, Yutao Wang, Martin D. F. Wong, Evangeline F. Y. Young |
| 2024 | VTC | Blind Residual CFO Estimation via CNN-Enabled EM Algorithm. | Penghao Cai, Fuqian Yang, Zhipeng Xue, Yutao Wang, Hanyu Zhu, Xiqi Gao |
| 2021 | GLOBECOM | Cooperative Task Offloading in UAV Swarm-based Edge Computing. | Yutao Wang, Hongzhi Guo, Jiajia Liu |
| 2015 | EDM | The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. | Charles Lang, Neil T. Heffernan, Korinn Ostrow, Yutao Wang |
| 2015 | LAK | Towards better affect detectors: effect of missing skills, class features and common wrong answers. | Yutao Wang, Neil T. Heffernan, Cristina Heffernan |
| 2014 | EDM | The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. | Linglong Zhu, Yutao Wang, Neil T. Heffernan |
| 2014 | ITS | Personalizing Knowledge Tracing: Should We Individualize Slip, Guess, Prior or Learn Rate? | Junjie Gu, Yutao Wang, Neil T. Heffernan |
| 2014 | ITS | The Effect of Automatic Reassessment and Relearning on Assessing Student Long-Term Knowledge in Mathematics. | Yutao Wang, Neil T. Heffernan |
| 2013 | AIED | Class vs. Student in a Bayesian Network Student Model. | Yutao Wang, Joseph Beck |
| 2013 | AIED | Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes. | Yutao Wang, Neil T. Heffernan |
| 2013 | AIED | A Comparison of Two Different Methods to Individualize Students and Skills. | Yutao Wang, Neil T. Heffernan |
| 2013 | EDM | Do students really learn an equal amount independent of whether they get an item correct or wrong? | Seth Adjei, Seye Salehizadeh, Yutao Wang, Neil T. Heffernan |
| 2013 | EDM | A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint". | Hien Duong, Linglong Zhu, Yutao Wang, Neil T. Heffernan |
| 2013 | EDM | Extending the Assistance Model: Analyzing the Use of Assistance over Time. | William Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker |
| 2013 | FlAIRS | Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods. | Fei Song, Shubhendu Trivedi, Yutao Wang, Gbor N. Srkzy, Neil T. Heffernan |
| 2012 | EDM | Incorporating Factors Influencing Knowledge Retention into a Student Model. | Yutao Wang, Joseph Beck |
| 2012 | EDM | Leveraging First Response Time into the Knowledge Tracing Model. | Yutao Wang, Neil T. Heffernan |
| 2012 | ITS | The Student Skill Model. | Yutao Wang, Neil T. Heffernan |
| 2011 | EDM | Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. | Yutao Wang, Neil T. Heffernan |
| 2011 | FlAIRS | The "Assistance" Model: Leveraging How Many Hints and Attempts a Student Needs. | Yutao Wang, Neil T. Heffernan |
| 2010 | EDM | Representing Student Performance with Partial Credit. | Yutao Wang, Neil T. Heffernan, Joseph E. Beck |
| 1998 | ICONIP | Neural Network for Time series Prediction and Its Application. | Yutao Wang, Jianchang Zhou, Shi Wang |