Bio: I am currently a postdoc at Stanford Artificial Intelligence Laboratory (SAIL), Department of Computer Science, Stanford University, working with Prof. Stefano Ermon, Prof. David Lobell, and Prof. Marshall Burke. I received my Ph.D. in Photogrammetry and Remote Sensing from Wuhan University in 2023, advised by Prof. Yanfei Zhong and Prof. Liangpei Zhang. I obtained B.S. degree from the School of Geography and Information Engineering, China University of Geosciences, Wuhan, China, in 2018.

My research interest is in Earth Vision and Simulation, especially multi-modal and multi-temporal remote sensing image analysis.
My research goal is to design original and insightful GeoAI technologies to help solve societal and environmental challenges facing humanity, in pursuit of a sustainable future. Meanwhile, I am an enthusiast of remote sensing data science competitions (commonly used ID: EVER), but now I have little time to play these games :(

Our Change Family:
  • Probabilistic Change Model (PCM) (unified change modeling principle)
  • ChangeSparse (an instance of Deep PCM with a powerful sparse change transformer for binary, o2m and m2m change detection tasks)
  • ChangeStar, ChangeStar2 (single-temporal change representation learning, temporal symmetry)
  • ChangeOS (one-to-many [o2m] semantic change detection architecture, deep object-based change detection, building damage assessment)
  • STCA (transferable building damage assessment, single-temporal change adaptation)
  • ChangeMask (many-to-many [m2m] semantic change detection architecture, temporal symmetric change representation)
  • Changen, Changen2 (generative change modeling, the first multi-temporal remote sensing image-mask generator)
  • Segment Any Change (the first zero-shot change detector)
  • TEOChat and TEOChatlas (the first temporal EO VLM and instruction-following dataset)
  • torchange (a unified change representation learning benchmark library, open-source software)

Email: zhuozheng [at] cs [dot] stanford [dot] edu; zhengzhuo [at] whu [dot] edu [dot] cn

Recent News

2024.10, Changen2 got accepted to IEEE TPAMI.

2024.10, Awarded with the 2024 Graduate Academic Innovation Outstanding Prize.

2024.09, Segment Any Change got accepted to NeurIPS 2024.

2024.09, selected for Stanford University's World Top 2% Scientists List (Geological & Geomatics Engineering) for 2024.

2024.09, STCA got accepted to RSE.

2024.06, DPCM and ChangeSparse got accepted to ISPRS P&RS.

2024.05, ChangeStar2 got accepted in IJCV.

2023.10, Urban Vehicle Segmentation (UV6K) dataset is publicly available. Use it in your study now!

2023.07, One paper is accepted by ICCV 2023.

2023.07, One paper is accepted by IEEE TPAMI.

2023.06, Awarded with Li Xiaowen Remote Sensing Young Scholar Award.

Selected Publication

 

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
arxiv, 2024
paper    code     TEOChatlas dataset     TEOChat 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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
SCI Q1 Top
paper    arxiv    code     Changen2-S1-15k dataset     Changen2-S9-27k dataset
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.

 

Segment Any Change
Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon
38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
paper    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
Remote Sensing of Environment (RSE), 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 Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 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
International Journal of Computer Vision (IJCV), 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
International Conference on Computer Vision (ICCV), 2023
paper    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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 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 Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2022
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical
paper     code     SECOND dataset: train / val split (ours)
Highlight: Disentangled semantic and change representation and temporal symmetric transformer (TST) for semantic change detection.
ESI Highly 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
Remote Sensing of Environment (RSE), 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
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
International Conference on Computer Vision (ICCV), 2021
paper     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)
35th Annual Conference on Neural Information Processing Systems (NeurIPS Datasets & Benchmarks Track), 2021
paper     dataset/code

 

Deep Multisensor Learning for Missing-Modality All-Weather Mapping
Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 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
Computer Vision and Pattern Recognition (CVPR), 2020
paper     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
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 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 Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 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)
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020
SCI Q1 Top
paper
Highlight: Evolvable model and dataset: making your model and dataset both great again for new domain data.

Teaching

  • Fall 2023/2024: Data for Sustainable Development (CS 325B)

Honors and Awards

2024 Graduate Academic Innovation Outstanding Prize, Wuhan University (武汉大学“研究生学术创新奖” 特等奖 (研究生学术创新校长奖))
announcement
2023 Li Xiaowen Remote Sensing Young Scholar Award  (李小文遥感科学青年奖)
press
16th Wuhan University Top Ten Academic Stars  (武汉大学第十六届研究生“十大学术之星”)
announcement
2022 Graduate Academic Innovation Outstanding Prize, Wuhan University (武汉大学“研究生学术创新奖” 特等奖 (研究生学术创新校长奖) & “研究生英诺卓越奖学金”)
announcement
2020-2021 "Wang Zhizhuo Innovation Talent" Outstanding Prize  ("王之卓创新人才奖" 特等奖)
announcement
2021 National Scholarship for Graduate Student  (博士研究生国家奖学金)
announcement
Overhead Geopose Challenge, 5th Place (5/444)
This challenge is hosted by the National Geospatial-Intelligence Agency (NGA)
Zhuo Zheng (id: chuchu in the leaderboard)
website
2021 IEEE GRSS Data Fusion Contest, Track: Multitemporal Semantic Change Detection, 4th Place
Zhuo Zheng, Junjue Wang, Yinhe Liu, Shiqi Tian, Yanfei Zhong, Ailong Ma
website   announcement
2021 John I. Davidson President’s Award, 1st Place
announcement
2020 Graduate Academic Innovation Outstanding Prize, Wuhan University (武汉大学“研究生学术创新奖” 特等奖 (研究生学术创新校长奖))
announcement
SpaceNet 6 & EarthVision workshop challenge at CVPR 2020, Top Graduate Award
Zhuo Zheng, Junjue Wang, Dingyuan Chen (Team name: __EVER__ in Topcoder)
website   announcement
xView2 Challenge, 4th Place (4/3500+), overall
Zhuo Zheng, Junjue Wang, Yanfei Zhong, Ailong Ma, Liangpei Zhang
website   code
2019 IEEE GRSS Data Fusion Contest, Single-view Semantic 3D Challenge, 2nd Place
Zhuo Zheng, Yanfei Zhong, Junjue Wang
website   tech report

Invited Talks

  • Dynamic, high-resolution poverty measurement in data-scarce environments
    International Seminar on Integrating Household Surveys with Diverse Data Sources, 2024.11.19
  • Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process
    University of Georgia (UGA) GeoAI Talk Series I, 2024.02.29
  • Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
    IEEE Geoscience and Remote Sensing Society (GRSS) Wuhan Student Chapter, 2023.02.24
  • 变化无处不在:单时相监督的遥感影像变化检测
    中国图象图形学学会(CSIG) 第一期学生会员分享论坛, 2022.12.23
  • Building Damage Assessment with Deep Object-based Semantic Change Detection Framework: From natural disasters to man-made disasters
    Excellent Presentation Award
    The 2021 International Graduate Workshop on GeoInformatics (IGWG2021), 2021.12.18
  • 面向地理目标的遥感视觉理解
    武汉大学, GeoScience Cafe #281, 2020.11.27
  • WE1.R7.3: Pop-Net: Encoder-Dual Decoder for Semantic Segmentation and Single-View Height Estimation
    2019 IEEE Geoscience and Remote Sensing Symposium (IGARSS), IEEE GRSS Data Fusion Contest I, 2019.07.31

Academic Service

Journal Reviewer
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • International Journal of Computer Vision (IJCV)
  • Remote Sensing of Environment (RSE)
  • ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS)
  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Cybernetics (TCYB)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Geoscience and Remote Sensing Letters (GRSL)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
  • International Journal of Applied Earth Observation and Geoinformation (JAG)
  • International Journal of Remote Sensing (IJRS)
Conference Reviewer
  • ICML 2024
  • ICLR 2024-2025
  • ICCV 2023
  • ECCV 2022-2024
  • CVPR 2022-2024
  • NeurIPS 2021, 2023, 2024
Program Committee
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