Trust and Automation: A Systematic Review and Bibliometric Analysis. - Zhengming Zhang 002; Vincent G. Duffy; Renran Tian (HCI (40), 2021)

Implementation and Performance Evaluation of In-vehicle Highway Back-of-Queue Alerting System Using the Driving Simulator. - Zhengming Zhang 002; Dan Shen; Renran Tian; Lingxi Li 001; Yaobin Chen; Jim Sturdevant; Ed Cox (ITSC, 2021)

TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. - Zhengming Zhang 002; Renran Tian; Zhengming Ding (AAAI, 2023)

An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles. - Dan Shen; Zhengming Zhang 002; Renran Tian; Yaobin Chen; Rini Sherony (CoRR, 2023)

Attention-Based Interrelation Modeling for Explainable Automated Driving. - Zhengming Zhang 002; Renran Tian; Rini Sherony; Joshua E. Domeyer; Zhengming Ding (IEEE Trans. Intell. Veh., 2023)

A Unified Framework for Hierarchical Pedestrian Behavior Generation in Urban Scenario. - Zhengming Zhang 002; Vincent G. Duffy; Mark R. Lehto; Zhengming Ding; Renran Tian (HCI (70), 2024)

Intent-Guided Trajectory Prediction for E-Scooter Riders and Bicyclists. - Zhengming Zhang 002; Zhengming Ding; Yaobin Chen; Stanley Y. P. Chien; Lingxi Li 001; Rini Sherony; Joshua E. Domeyer; Renran Tian (ITSC, 2024)

Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention. - Zhengming Zhang 002; Zhengming Ding; Renran Tian (IEEE Trans. Image Process., 2024)

The Comfort of the Soft-Safety Driver Alerts: Measurements and Evaluation. - Zhengming Zhang 002; Renran Tian; Vincent G. Duffy; Lingxi Li 001 (Int. J. Hum. Comput. Interact., 2024)