Jindi Zhang

Orcid: 0000-0001-8774-0607

According to our database1, Jindi Zhang authored at least 18 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
Rethinking explainable AI: The gap between saliency-based explanation and user understanding for object detection models.
Int. J. Hum. Comput. Stud., 2026

2025
A QP Framework for Improving Data Collection: Quantifying Device-Controller Performance in Robot Teleoperation.
CoRR, November, 2025

AutoHMA-LLM: Efficient Task Coordination and Execution in Heterogeneous Multi-Agent Systems Using Hybrid Large Language Models.
IEEE Trans. Cogn. Commun. Netw., April, 2025

2024
Human attention guided explainable artificial intelligence for computer vision models.
Neural Networks, 2024

Do Saliency-Based Explainable AI Methods Help Us Understand AI's Decisions? The Case of Object Detection AI.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023
Humans vs. AI in Detecting Vehicles and Humans in Driving Scenarios.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Individual differences in explanation strategies for image classification and implications for explainable AI.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Human Attention-Guided Explainable AI for Object Detection.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Model Debiasing via Gradient-based Explanation on Representation.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving.
ACM Trans. Intell. Syst. Technol., 2022

Novel Dynamic Microactuation Method for Tracking-Error Reduction of Permanent Magnet Linear Synchronous Motors.
IEEE Trans. Ind. Electron., 2022

Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles.
IEEE Internet Things J., 2022

Sensor Data Validation and Driving Safety in Autonomous Driving Systems.
CoRR, 2022

HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

Read before Generate! Faithful Long Form Question Answering with Machine Reading.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems.
IEEE Internet Things J., 2021

2020
FocAnnot: Patch-Wise Active Learning for Intensive Cell Image Segmentation.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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