Zhenong Jin

24 papers A* 3A 1B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling.
IEEE Big Data
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 J jnl
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling.
CoRR
Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2025 J jnl
LLM-based Evaluation Policy Extraction for Ecological Modeling.
CoRR
Qi Cheng, Licheng Liu, Qing Zhu, Runlong Yu, Zhenong Jin, Yiqun Xie, Xiaowei Jia
2024 J jnl
CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants.
CoRR
Albert J. Zhai, Xinlei Wang, Kaiyuan Li, Zhao Jiang, Junxiong Zhou, Sheng Wang, Zhenong Jin, Kaiyu Guan, Shenlong Wang
2024 A* conf
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks.
AAAI
Erhu He, Yiqun Xie, Alexander Y. Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia
2024 J jnl
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling.
CoRR
Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar
2024 A conf
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.
SDM
Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia
2024 J jnl
Predicting the growth trajectory and yield of greenhouse strawberries based on knowledge-guided computer vision.
Comput. Electron. Agric.
Qi Yang, Licheng Liu, Junxiong Zhou, Mary Rogers, Zhenong Jin
2023 J jnl
Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740.
Remote. Sens.
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2023 J jnl
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems.
CoRR
Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia
2023 J jnl
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin.
CoRR
Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin
2023 A* conf
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction.
AAAI
Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia
2023 A* conf
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
AAAI
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
2022 — conf
Clustering augmented self-supervised learning: an application to land cover mapping.
SIGSPATIAL/GIS
Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar
2022 J jnl
From cropland to cropped field: A robust algorithm for national-scale mapping by fusing time series of Sentinel-1 and Sentinel-2.
Int. J. Appl. Earth Obs. Geoinformation
Bingwen Qiu, Duoduo Lin, Chongcheng Chen, Peng Yang, Zhenghong Tang, Zhenong Jin, Zhiyan Ye, Xiaolin Zhu, Mingjie Duan, Hongyu Huang, Zhiyuan Zhao, Weiming Xu, Zuoqi Chen
2022 J jnl
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
CoRR
Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia
2021 — conf
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
IEEE BigData
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 J jnl
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping.
CoRR
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 J jnl
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping.
CoRR
Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021 J jnl
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach.
CoRR
Chenxi Lin, Liheng Zhong, Xiao-Peng Song, Jinwei Dong, David B. Lobell, Zhenong Jin
2021 J jnl
Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery.
IEEE Trans. Geosci. Remote. Sens.
Zhiyong Lv, Guangfei Li, Zhenong Jin, Jón Atli Benediktsson, Giles M. Foody
2021 J jnl
Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco.
Remote. Sens.
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2019 J jnl
Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yaping Cai, Kaiyu Guan, Emerson Nafziger, Girish Chowdhary, Bin Peng, Zhenong Jin, Shaowen Wang, Sibo Wang
2017 J jnl
Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa.
Remote. Sens.
Zhenong Jin, George Azzari, Marshall Burke, Stephen Aston, David B. Lobell