Dynamic, high-resolution poverty measurement in data-scarce environments
Zhuo Zheng, Timothy Wu, Richard Lee, David Newhouse, Talip Kilic, Marshall Burke, Stefano Ermon, David Lobell
JDE Journal of Development Economics, 2025
SCI Q1 Top Paper

Neural disaster simulation for transferable building damage assessment
Zhuo Zheng, Yanfei Zhong, Zijing Wan, Liangpei Zhang, Stefano Ermon
RSE Remote Sensing of Environment, 2025
SCI Q1 Top, ranking it 1 out of 32 in Remote Sensing Paper Code Highlight: Neural Disaster Simulation (NeDS) simulates disasters with customizable types and intensity levels and generates visually interpretable pseudo bitemporal damage samples to improve transferable building damage assessment.

DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
Junjue Wang*, Weihao Xuan*, Heli Qi, Zhihao Liu, Kunyi Liu, Yuhan Wu, Hongruixuan Chen, Jian Song, Junshi Xia, Zhuo Zheng, Naoto Yokoya
NeurIPS 39th Annual Conference on Neural Information Processing Systems, 2025 arXiv Dataset Highlight: DisasterM3 includes 26,988 bi-temporal satellite images and 123k instruction pairs across 5 continents, which features 36 historical disaster events, 9 disaster-related visual perception and reasoning tasks, and Optical-SAR Observation data.

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
Jeremy Andrew Irvin, Emily Ruoyu Liu, Joyce Chuyi Chen, Ines Dormoy, Jinyoung Kim, Samar Khanna, Zhuo Zheng, Stefano Ermom
ICLR International Conference on Learning Representations, 2025 arXiv Code TEOChatlas Dataset Demo Highlight: TEOChatlas, the first temporal EO instruction-following dataset that has >500k instruction-following examples, spanning dozens of spatial and temporal reasoning tasks. TEOChat is the first VLM that can converse about temporal earth observation imagery.

Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model
Zhuo Zheng, Stefano Ermon, Dongjun Kim, Liangpei Zhang, Yanfei Zhong
TPAMI IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
SCI Q1 Top Paper arXiv Code Dataset (S1-15k) Dataset (S9-27k) Highlight: Generative Change Foundation Model, Changen2 can be trained at scale using self-supervision, yielding change supervisory signals from unlabeled single-temporal images; The resulting task-specific foundation model possesses inherent zero-shot change detection capabilities and excellent transferability. ESI Highly Cited Paper

Segment Any Change
Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon
NeurIPS 38th Annual Conference on Neural Information Processing Systems, 2024 arXiv Code Highlight: Zero-shot Change Detection is introduced for the first time; Training-free Adaptation for Foundation models.

Towards transferable building damage assessment via unsupervised single-temporal change adaptation
Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Marshall Burke, David B. Lobell, Stefano Ermon
RSE Remote Sensing of Environment, 2024
SCI Q1 Top, ranking it 1 out of 32 in Remote Sensing Paper Highlight: Transferable building damage assessment; Unsupervised single-temporal change adaptation (STCA) enables models to achieve adaptation with only target pre-disaster images.

Unifying Remote Sensing Change Detection via Deep Probabilistic Change Models: From Principles, Models to Applications
Zhuo Zheng, Yanfei Zhong, Ji Zhao, Ailong Ma, Liangpei Zhang
ISPRS P&RS ISPRS Journal of Photogrammetry and Remote Sensing, 2024
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical Paper Code Highlight: Unified probabilistic change modeling: Probabilistic Change Model (PCM); and strong model instance: ChangeSparse.

Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
IJCV International Journal of Computer Vision, 2024
SCI Q1 Top Paper Code Highlight: ChangeStar2: STAR with Faster and More Stable Convergence; Universal Remote Sensing Change Detection (object, semantic, class-agnostic, time-series change)

Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process
Zhuo Zheng, Shiqi Tian, Ailong Ma, Liangpei Zhang, Yanfei Zhong
ICCV International Conference on Computer Vision, 2023 arXiv Code Highlight: New direction: Generative Change Modeling; Changen, Change generator, enables object change generation with controllable object property and change event; Effective synthetic change data pre-training.

FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma, Liangpei Zhang
TPAMI IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
SCI Q1 Top Paper Code UV6K Dataset

ChangeMask: Deep Multi-task Encoder-Transformer-Decoder Architecture for Semantic Change Detection
Zhuo Zheng, Yanfei Zhong, Shiqi Tian, Ailong Ma, Liangpei Zhang
ISPRS P&RS ISPRS Journal of Photogrammetry and Remote Sensing, 2022
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical Paper Code SECOND (Train, our split) SECOND (Val, our split) Highlight: Disentangled semantic and change representation and temporal symmetric transformer (TST) for semantic change detection. ESI Highly Cited Paper ISPRS P&RS Top Cited Paper

Building Damage Assessment for Rapid Disaster Response with a Deep Object-based Semantic Change Detection Framework: from natural disasters to man-made disasters
Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma, Liangpei Zhang
RSE Remote Sensing of Environment, 2021
SCI Q1 Top, ranking it 1 out of 32 in Remote Sensing Paper Code Highlight: A deep object-based semantic change detection method for building damage assessment in the context of disaster response. ESI Highly Cited Paper RSE Top Cited Paper
Our solution is xView2 4th overall officially, which is a unique single-model solution among top-5.

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
ICCV International Conference on Computer Vision, 2021 arXiv Project Code Highlight: A single-temporal supervised learning algorithm and a plug-and-play change detection head: ChangeMixin for change detection. The method has been included in microsoft/torchgeo and PaddlePaddle/PaddleRS.

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Junjue Wang^*, Zhuo Zheng^*, Ailong Ma, Xiaoyan Lu, Yanfei Zhong (* Equal contribution)
NeurIPS 35th Annual Conference on Neural Information Processing Systems, 2021 arXiv Dataset/Code

Deep Multisensor Learning for Missing-Modality All-Weather Mapping
Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
ISPRS P&RS ISPRS Journal of Photogrammetry and Remote Sensing, 2021
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical Paper Highlight: A registration-free multi-modal/sensor learning algorithm via exploring meta-modal/sensory representation for all-weather mapping.

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma
CVPR Computer Vision and Pattern Recognition, 2020 arXiv Code Highlight: Explicit foreground modeling from the perspectives of relation and optimization for real-time geospatial object segmentation. The method has been included in microsoft/torchgeo and PaddlePaddle/PaddleRS.

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Zhuo Zheng, Yanfei Zhong, Ailong Ma, Liangpei Zhang
TGRS IEEE Transactions on Geoscience and Remote Sensing, 2020
SCI Q1 Top Paper Code Highlight: Patch-free is all you need towards faster and stronger hyperspectral image classification. The method has been included in WHULuoJiaTeam/luojianet.
ESI Highly Cited Paper

HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery
Zhuo Zheng, Yanfei Zhong, Ailong Ma, Xiaobing Han, Ji Zhao, Yanfei Liu, Liangpei Zhang
ISPRS P&RS ISPRS Journal of Photogrammetry and Remote Sensing, 2020
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical Paper Highlight: Hyper-scale = Multi-scale × Multi-scale, a new perspective of scale modeling at the convolutional groups.

COLOR: Cycling, Offline Learning, and Online Representation Framework for Airport and Airplane Detection Using GF-2 Satellite Images
Yanfei Zhong, Zhuo Zheng^*, Ailong Ma, Xiaoyan Lu, Liangpei Zhang   (* denotes the corresponding author)
TGRS IEEE Transactions on Geoscience and Remote Sensing, 2020
SCI Q1 Top Paper Highlight: Evolvable model and dataset: making your model and dataset both great again for new domain data.