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Chenhui Zhang
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引用次数
年份
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
B Wang*, W Chen*, H Pei*, C Xie*, M Kang*, C Zhang*, C Xu, Z Xiong, ...
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023
1832023
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
S Wang, K Guan, C Zhang, DK Lee, AJ Margenot, Y Ge, J Peng, W Zhou, ...
Remote Sensing of Environment 271, 112914, 2022
982022
Cross-scale sensing of field-level crop residue cover: Integrating field photos, airborne hyperspectral imaging, and satellite data
S Wang, K Guan, C Zhang, Q Zhou, S Wang, X Wu, C Jiang, B Peng, ...
Remote Sensing of Environment 285, 113366, 2023
222023
Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning
S Wang, K Guan, C Zhang, C Jiang, Q Zhou, K Li, Z Qin, EA Ainsworth, ...
Remote Sensing of Environment 285, 113386, 2023
182023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
J Hong, JT Wang, C Zhang, Z Li, B Li, Z Wang
The Twelfth International Conference on Learning Representations, 2023
92023
Good at captioning, bad at counting: Benchmarking gpt-4v on earth observation data
C Zhang, S Wang
arXiv preprint arXiv:2401.17600, 2024
52024
Airborne hyperspectral imaging of cover crop outcomes and tillage intensity in croplands by machine learning and radiative transfer modeling
S Wang, K Guan, Q Zhou, C Zhang, C Jiang, K Li, Z Qin, E Ainsworth, ...
AGU Fall Meeting Abstracts 2021, B55K-1320, 2021
12021
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
J Hong*, J Duan*, C Zhang*, Z Li*, C Xie, K Lieberman, J Diffenderfer, ...
arXiv preprint arXiv:2403.15447, 2024
2024
Segment Any Stream: Scalable Water Extent Detection with the Segment Anything Model
H Zheng*, C Zhang*, K Guan, Y Deng, S Wang, BL Rhoads, AJ Margenot, ...
NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory …, 2023
2023
Quantifying inland water quality across the contiguous United States using Sentinel-2 satellite data and machine learning
S Wang, Z Lu, X Jia, Q Zhou, C Zhang, K Guan
AGU23, 2023
2023
Quantifying streambank erosion in two watersheds of Illinois through high-resolution aerial imagery and Segment Anything Models
C Zhang, S Wang, K Guan, H Zheng, S Wang, BL Rhoads, S Zhou, ...
AGU23, 2023
2023
AI-empowered hyperspectral sensing advances agricultural ground truthing across scales
S Wang, K Guan, EA Ainsworth, C Zhang, ADB Leakey, Q Zhou, ...
AGU Fall Meeting Abstracts 2022, GC42D-0726, 2022
2022
Advancing Airborne Hyperspectral Data Processing for Sustainable Agriculture with Parsl
D Friedel, K Guan, Q Zhou, C Zhang, S Wang, DS Katz
AGU Fall Meeting Abstracts 2022, B42G-1703, 2022
2022
Cross-scale sensing of field-level crop residue cover and cover crops: integrating field observations, airborne hyperspectral imaging, and satellite data
S Wang, K Guan, C Zhang, Q Zhou, EA Ainsworth, AJ Margenot, C Jiang, ...
AGU Fall Meeting Abstracts 2022, B45B-07, 2022
2022
Cross-scale sensing of field-level crop nitrogen in the US central Corn Belt to support sustainable fertilization management
S Wang, K Guan, Q Zhou, C Zhang, EA Ainsworth, PA Townsend, ...
AGU23, 0
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