A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving. - Yifan Zhang; Jinghuai Zhang; Jindi Zhang; Jianping Wang 001; Kejie Lu; L. Jeff Hong (AAAI, 2020)

FocAnnot: Patch-Wise Active Learning for Intensive Cell Image Segmentation. - Bo Lin; Shuiguang Deng; Jianwei Yin; Jindi Zhang; Ying Li 001; Honghao Gao (CollaborateCom (2), 2020)

Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems. - Jindi Zhang; Yifan Zhang; Kejie Lu; Jianping Wang 001; Kui Wu 001; Xiaohua Jia; Bin Liu 001 (IEEE Internet Things J., 2021)

Read before Generate! Faithful Long Form Question Answering with Machine Reading. - Dan Su 003; Xiaoguang Li; Jindi Zhang; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Pascale Fung (ACL (Findings), 2022)

HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. - Yi Yang 090; Yueyuan Zheng; Didan Deng; Jindi Zhang; Yongxiang Huang; Yumeng Yang; Janet H. Hsiao; Caleb Chen Cao (HCOMP, 2022)

Sensor Data Validation and Driving Safety in Autonomous Driving Systems. - Jindi Zhang (CoRR, 2022)

Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles. - Jindi Zhang; Yang Lou; Jianping Wang 001; Kui Wu 001; Kejie Lu; Xiaohua Jia (IEEE Internet Things J., 2022)

Novel Dynamic Microactuation Method for Tracking-Error Reduction of Permanent Magnet Linear Synchronous Motors. - Jindi Zhang; Jian Gao 002; Lanyu Zhang; Yuheng Luo; Xun Chen 002; Xin Chen 005; Yunbo He (IEEE Trans. Ind. Electron., 2022)

Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving. - Yifan Zhang; Jinghuai Zhang; Jindi Zhang; Jianping Wang 001; Kejie Lu; L. Jeff Hong (ACM Trans. Intell. Syst. Technol., 2022)

Model Debiasing via Gradient-based Explanation on Representation. - Jindi Zhang; Luning Wang; Dan Su 003; Yongxiang Huang; Caleb Chen Cao; Lei Chen 002 (AIES, 2023)

Human Attention-Guided Explainable AI for Object Detection. - Guoyang Liu; Jindi Zhang; Antoni B. Chan; Janet H. Hsiao (CogSci, 2023)

Individual differences in explanation strategies for image classification and implications for explainable AI. - Ruoxi Qi; Yueyuan Zheng; Yi Yang 090; Jindi Zhang; Janet H. Hsiao (CogSci, 2023)

Humans vs. AI in Detecting Vehicles and Humans in Driving Scenarios. - Alice Yang; Guoyang Liu; Yunke Chen; Ruoxi Qi; Jindi Zhang; Janet H. Hsiao (CogSci, 2023)

Human attention guided explainable artificial intelligence for computer vision models. - Guoyang Liu; Jindi Zhang; Antoni B. Chan; Janet H. Hsiao (Neural Networks, 2024)

AutoHMA-LLM: Efficient Task Coordination and Execution in Heterogeneous Multi-Agent Systems Using Hybrid Large Language Models. - Tingting Yang 001; Ping Feng; Qixin Guo; Jindi Zhang; Xiufeng Zhang; Jiahong Ning; Xinghan Wang; Zhongyang Mao (IEEE Trans. Cogn. Commun. Netw., 2025)