Publications

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Journal Articles


Q-LiDAR: Efficient and Accurate Training-Free Quantization for Point Cloud 3D Object Detection Models

Published in Conference on Computer Vision and Pattern Recognition (CVPR), 2024

This paper presents novel dynamic and static post-training quantization techniques for 3D object detection models, achieving 35% reduction in inference time while maintaining accuracy through progressive quantization and sensitivity analysis.

Recommended citation: Chi, B., Zheng, H., & Zhang, M. (2024). "Q-LiDAR: Efficient and Accurate Training-Free Quantization for Point Cloud 3D Object Detection Models." Conference on Computer Vision and Pattern Recognition (CVPR). Submitted.
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LLMarking: An automatic short-answer grading system based on large language model

Published in Educational Advances in Artificial Intelligence (EAAI), 2024

This paper introduces an automatic short-answer grading system utilizing large language models, achieving F1 scores of 90.5% and 86.1% on computer science and finance datasets respectively through innovative prompt engineering and model fine-tuning.

Recommended citation: Wang, H., Chi, B., Wu, Y., et al. (2024). "LLMarking: An automatic short-answer grading system based on large language model." 15th Symposium on Educational Advances in Artificial Intelligence (EAAI). Submitted.
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Research Advanced in the Object Detection Based on Deep Learning

Published in 2022 International Conference on Applied Physics and Computing (ICAPC), 2022

This paper provides a comprehensive evaluation of object detection research advances, categorizing algorithms into traditional detection algorithms, anchor-based and anchor-free detection algorithms, with experimental analysis on common datasets.

Recommended citation: Chi, B. (2022). "Research Advanced in the Object Detection Based on Deep Learning." 2022 International Conference on Applied Physics and Computing (ICAPC). DOI: 10.1109/ICAPC57304.2022.00092
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