publications

Please refer to my Google Scholar for an up-to-date list of publications.

2024

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    Good at Captioning, Bad at Counting: Benchmarking GPT-4V on Earth Observation Data
    Chenhui Zhang, and Sherrie Wang
    arXiv preprint arXiv: 2401.17600, 2024
    arXiv Code Website
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    DP-OPT: Make Large Language Model Your Differentially-Private Prompt Engineer
    Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, and Zhangyang Wang
    The Twelfth International Conference on Learning Representations, 2024
    arXiv Blog
  3. Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
    Junyuan Hong*, Jinhao Duan*, Chenhui Zhang*, Zhangheng Li*, Chulin Xie, Kelsey Lieberman , and 5 more authors
    arXiv preprint arXiv:2403.15447, 2024

2023

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    DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
    Boxin Wang*, Weixin Chen*, Hengzhi Pei*, Chulin Xie*, Mintong Kang*, Chenhui Zhang* , and 13 more authors
    Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track, Outstanding Paper Award, 2023
    * indicates equal contribution
    arXiv Website
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    Segment Any Stream: Scalable Water Extent Detection with the Segment Anything Model
    Haozhen Zheng*, Chenhui Zhang*, Kaiyu Guan, Yawen Deng, Sherrie Wang, Bruce L. Rhoads , and 3 more authors
    In NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory to Deployment , 2023
    HTML Code Poster
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    Cross-scale Sensing of Field-Level Crop Residue Cover: Integrating Field Photos, Airborne Hyperspectral Imaging, and Satellite Data
    Sheng Wang, Kaiyu Guan, Chenhui Zhang, Qu Zhou, Sibo Wang, Xiaocui Wu , and 9 more authors
    Remote Sensing of Environment, 2023
    HTML
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    Airborne Hyperspectral Imaging of Cover Crops through Radiative Transfer Process-Guided Machine Learning
    Sheng Wang, Kaiyu Guan, Chenhui Zhang, Chongya Jiang, Qu Zhou, Kaiyuan Li , and 8 more authors
    Remote Sensing of Environment, 2023
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2022

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    Using Soil Library Hyperspectral Reflectance and Machine Learning to Predict Soil Organic Carbon: Assessing Potential of Airborne and Spaceborne Optical Soil Sensing
    Sheng Wang, Kaiyu Guan, Chenhui Zhang, DoKyoung Lee, Andrew J. Margenot, Yufeng Ge , and 4 more authors
    Remote Sensing of Environment, 2022
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