| Predicting interstate motor carrier crash rate level using classification models J Liu, LN Boyle, AG Banerjee Accident Analysis & Prevention 120, 211-218, 2018 | 18 | 2018 |
| An inverse reinforcement learning approach for customizing automated lane change systems J Liu, LN Boyle, AG Banerjee IEEE Transactions on Vehicular Technology 71 (9), 9261-9271, 2022 | 8 | 2022 |
| Clustering human trust dynamics for customized real-time prediction J Liu, K Akash, T Misu, X Wu 2021 ieee international intelligent transportation systems conference (ITSC …, 2021 | 8 | 2021 |
| A predictive analytics tool to provide visibility into completion of work orders in supply chain systems J Liu, S Hwang, W Yund, JD Neidig, SM Hartford, L Ng Boyle, ... Journal of Computing and Information Science in Engineering 20 (3), 031003, 2020 | 8 | 2020 |
| Predicting purchase orders delivery times using regression models with dimension reduction J Liu, S Hwang, W Yund, LN Boyle, AG Banerjee International Design Engineering Technical Conferences and Computers and …, 2018 | 7 | 2018 |
| Auction Bidding Methods for Multiagent Consensus Optimization in Supply–Demand Networks N Rahimi, J Liu, A Shishkarev, I Buzytsky, AG Banerjee IEEE Robotics and Automation Letters 3 (4), 4415-4422, 2018 | 6 | 2018 |
| FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings A Mohamed, J Liu, LN Boyle, C Claudel arXiv preprint arXiv:2304.06121, 2023 | | 2023 |
| Analysis of driver behavior in mixed autonomous and non-autonomous traffic flows J Liu, LN Boyle Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66 (1 …, 2022 | | 2022 |
| Toward Trust-calibrated Customized Vehicle Automation J Liu University of Washington, 2022 | | 2022 |
