| 2024 | CogSci | Do Saliency-Based Explainable AI Methods Help Us Understand AI's Decisions? The Case of Object Detection AI. | Ruoxi Qi, Guoyang Liu, Jindi Zhang, Janet H. Hsiao |
| 2023 | AIES | Model Debiasing via Gradient-based Explanation on Representation. | Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen |
| 2023 | CogSci | Human Attention-Guided Explainable AI for Object Detection. | Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao |
| 2023 | CogSci | Individual differences in explanation strategies for image classification and implications for explainable AI. | Ruoxi Qi, Yueyuan Zheng, Yi Yang, Jindi Zhang, Janet H. Hsiao |
| 2023 | CogSci | Humans vs. AI in Detecting Vehicles and Humans in Driving Scenarios. | Alice Yang, Guoyang Liu, Yunke Chen, Ruoxi Qi, Jindi Zhang, Janet H. Hsiao |
| 2022 | ACL | Read before Generate! Faithful Long Form Question Answering with Machine Reading. | Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung |
| 2022 | HCOMP | HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. | Yi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao |
| 2020 | AAAI | A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving. | Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, L. Jeff Hong |