I am currently a Postdoctoral Associate at the NYU Embodied AI and Robotics Lab and the Center for AI and Robotics (CAIR) at NYU Abu Dhabi (NYUAD), working under the supervision of Prof. Yi Fang. I am also a Visiting Research Fellow at the Harvard AI and Robotics Lab at Harvard University, under the guidance of Prof. Mengyu Wang. I earned my Ph.D. in Cartography and Geographic Information System in 2021 from the University of Chinese Academy of Sciences (UCAS) and the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), where I was admitted through recommendation. During my doctoral studies, I had the privilege of being a visiting scholar at the NYU AI4CE Lab at New York University (NYU), mentored by Prof. Chen Feng.

My research is driven by a vision to create AI systems that are reliable, equitable, and beneficial to society. This mission guides my exploration of both foundational advancements in AI and their interdisciplinary applications. I focus on 2D/3D deep learning, multimodal large language models, and geospatial analysis, ensuring their trustworthy implementation in addressing complex challenges across computer vision, robotics, autonomous driving, remote sensing, healthcare, and urban studies. Committed to fostering trustworthy AI systems that prioritize accuracy, efficiency, robustness, and fairness, my work bridges theoretical innovation with practical impact. To date, I have published over 50 research papers in top-tier conferences such as NeurIPS, ICLR, ICCV, ECCV, AAAI, ICRA, and IROS, as well as leading journals like Science Advances, IEEE TVCG, IEEE TCSVT, IEEE TMM, IEEE TIM, IEEE GRSM, IEEE TGRS, ISPRS, and ESSD.

๐Ÿ”ฅ News

  • 2025.03:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by Science Advances (Impact Factor: 11.7, Accept Rate < 8.2%).
  • 2025.02:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by IEEE TGRS.
  • 2025.01:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by ICLR 2025.
  • 2025.01:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by IEEE TCSVT.
  • 2024.12:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by ICASSP 2025.
  • 2024.12:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by AAAI 2025.
  • 2024.12:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by IEEE GRSL.
  • 2024.09:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by NeurIPS 2024.
  • 2024.08:  ๐ŸŽ‰๐ŸŽ‰ Five papers are accepted by ICPR 2024, including one Oral.
  • 2024.06:  ๐ŸŽ‰๐ŸŽ‰ Two Oral papers are accepted by IROS 2024.
  • 2024.06:  ๐ŸŽ‰๐ŸŽ‰ I serve as Session Co-Chair for ICRA 2024.
  • 2024.03:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by IEEE GRSM (Impact Factor: 16.2).
  • 2024.02:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by ESSD (Impact Factor: 11.2).
  • 2024.02:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by IEEE TIM.
  • 2024.01:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by ISPRS P&RS (Impact Factor: 10.6).
  • 2024.09:  ๐ŸŽ‰๐ŸŽ‰ One paper is accepted by ICRA 2024.

๐Ÿ“ Publications

๐Ÿง  Multimodal Large Language Models

NeurIPS 2024
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GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance

Shuaihang Yuan, Hao Huang, Yu Hao, Congcong Wen, Anthony Tzes, Yi Fang

Project Code

๐Ÿค– Robotics

ArXiv 2024
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Socially-Aware Robot Navigation Enhanced by Bidirectional Natural Language Conversations Using Large Language Models

Congcong Wen, Yifan Liu, Geeta Chandra Raju Bethala, Hui Lin, Mengyu Wang, Yu-Shen Liu, Anthony Tzes, and Yi Fang

Project

๐Ÿค– Robotics

IEEE TGRS 2025
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RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering Hui Lin, Danfeng Hong, Shuhang Ge, Chuyao Luo, Kai Jiang, Hao Jin, Congcong Wenโ€ .

Code

๐Ÿ›ฐ๏ธ Remote Sensing

ArXiv 2025
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FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models

Hui Lin, Chao Zhang, Danfeng Hong, Kexin Dong, Congcong Wenโ€ 

๐Ÿ›ฐ๏ธ Remote Sensing

IEEE GRSM 2024
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Vision-Language Models in Remote Sensing: Current Progress and Future Trends

Xiang Li*, Congcong Wen*, Yuan Hu*, Zhenghang Yuan, Xiao Xiang Zhu.

Citations: 63

๐Ÿ›ฐ๏ธ Remote Sensing

ArXiv 2023
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RSGPT: A Remote Sensing Vision Language Model and Benchmark

Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, Xiang Li

Code | Citations: 89

๐Ÿ›ฐ๏ธ Remote Sensing

  • ICARA 2025 Integrating Retrospective Framework in Multi-Robot Collaboration. J. Liang, H. Huang, Y. Hao, G. Bethala, C. Wen,, J., Rizzo, Y. Fang. ๐Ÿค– Robotics
  • ICASSP 2025 A2GP-SF: Enhancing Few-Shot Class Incremental Learning via Attribute Generative Prompting and Adaptive Sharpness Flattening. Z. Chen, D. Wang, S. Fu, C. Wen,, H. Lin, B. Chen. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • ICPR 2024 Zero-shot Object Navigation using Vision-Language Models. C. Wen,, Y. Huang, H. Huang, Y. Huang, S. Yuan, Y. Hao, H. Lin, Y. Liu, Y. Fang. ๐Ÿค– Robotics
  • ICPR 2024 Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal Navigation. S. Yuan, H. Unlu, H. Huang, C. Wen,, A. Tzes, Y. Fang. ๐Ÿค– Robotics
  • ICPR 2024 Reliable Semantic Understanding for Real-World Zero-Shot Object Goal Navigation. H. Unlu, S. Yuan, C. Wen,, H. Huang, A. Tzes, Y. Fang. ๐Ÿค– Robotics
  • IROS 2024 ChatMap: A Wearable Platform Based on the Multi-modal Foundation Model to Augment Spatial Cognition for People with Blindness and Low Vision. Y. Hao, A. Magay, H. Huang, S. Yuan, C. Wen,, Y. Fang. ๐Ÿค– Robotics, ๐Ÿฅ HealthCare
  • JAG 2023 RS-CLIP: Zero Shot Remote Sensing Scene Classification via Contrastive Vision-Language Supervision. X. Li, C. Wen,, Y. Hu, N. Zhou. ๐Ÿ›ฐ๏ธ Remote Sensing
  • ๐Ÿงฑ 3D Deep Learning

    IEEE TMM 2023
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    3D Shape Contrastive Representation Learning with Adversarial Examples.

    Congcong Wen, Xiang Li, Hao Huang, Yu-Shen Liu, Yi Fang.

    ๐Ÿค– Robotics, ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision

    ISPRS 2021
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    Airborne LiDAR Point Cloud Classification with Global-Local Graph Attention Convolution Neural Network.

    Congcong Wen, Xiang Li, Xiaojing Yao, Ling Peng, Tianhe Chi.

    Citations: 89

    ๐Ÿ›ฐ๏ธ Remote Sensing, ๐Ÿค– Robotics, ๐Ÿš— Autonomous Driving

    ISPRS 2020
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    Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification.

    Congcong Wen, Lina Yang, Ling Peng, Xiang Li, Tianhe Chi.

    Code | Citations: 118

    ๐Ÿ›ฐ๏ธ Remote Sensing, ๐Ÿค– Robotics, ๐Ÿš— Autonomous Driving

    IEEE TVCG 2019
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    Topology Constrained Shape Correspondence.

    Xiang Li*, Congcong Wen*, Lingjing Wang, Yi Fang.

    Code

    ๐Ÿค– Robotics, ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision

  • IROS 2024 Weakly Scene Segmentation Using Efficient Transformer. H. Huang, S. Yuan, C. Wen, Y. Hao, Y. Fang. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • PRL 2024 Learning to Learn Point Signature for 3D Shape Geometry. H. Huang, L. Wang, X. Li, S. Yuan, C. Wenโ€ , Y. Hao, Y. Fang. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • ICRA 2024 Noisy Few-Shot 3D Point Cloud Scene Segmentation. H. Huang, S. Yuan, C. Wen, Y. Hao, Y. Fang. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • ICARA 2024 3D Hierarchical Transformer for Shape Correspondence Learning. H. Huang, S. Yuan, C. Wen, Y. Hao, Y. Fang. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • IEEE TIM 2024 Multi-Modal Features and Accurate Place Recognition with Robust Optimization for Lidar-Visual-Inertial SLAM. X. Zhao, C. Wen, S. Prakhya, H. Yin, R. Zhou, Y. Sun, J. Xu, H. Bai, Y. Wang. ๐Ÿค– Robotics, ๐Ÿš— Autonomous Driving
  • Computers & Graphics 2024 A Single 3D Shape Wavelet-Based Generative Model. H. Huang, S. Yuan, Z. Peng, Y. Hao, C. Wenโ€ , Y. Fang. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • ArXiv 2024 Evaluating Deep Clustering Algorithms on Non-Categorical 3D CAD Models. S. Xiang, C. Tseng, C. Wen, D. Desai, Y. Kou, B. Starly, D. Panozzo, C. Feng. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • IEEE TMM 2023 Retrieval-Specific View Learning for Sketch-to-Shape Retrieval. S. Yuan*, C. Wen*, Y.-S. Liu, Y. Fang. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • ICRA 2023 Pyramid Learnable Tokens for 3D LiDAR Place Recognition. C. Wen, H. Huang, Y. Liu, Y. Fang. ๐Ÿค– Robotics, ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision, ๐Ÿš— Autonomous Driving
  • ACCV 2022 Unsupervised 3D Shape Representation Learning Using Normalizing Flow. X. Li*, C. Wen*, H. Huang, Y. Fang. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • ISPRS 2020 Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification. X. Li, L. Wang, M. Wang, C. Wen, N. Zhou, Y. Fang. ๐Ÿ›ฐ๏ธ Remote Sensing, ๐Ÿค– Robotics, ๐Ÿš— Autonomous Driving
  • ๐Ÿ–ผ๏ธ 2D Deep Learning

    IEEE TCSVT 2025
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    Generalization-Enhanced Few-Shot Object Detection in Remote Sensing.

    Hui Lin, Nan Li, Pengjuan Yao, Kexin Dong, Yuhan Guo, Danfeng Hong, Ying Zhang, Congcong Wenโ€ .

    Code

    ๐Ÿ›ฐ๏ธ Remote Sensing

    ISPRS 2024
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    AutoEncoding Tree for City Layout Generation and Applications.

    Wenyu Han, Congcong Wenโ€ , Lazarus Chok, Yan Liang Tan, Sheung Lung Chan, Hang Zhao, Chen Feng.

    Project Code

    ๐Ÿ™๏ธ Urban Studies

    IEEE RSGL 2024
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    Geometry-Aware Segmentation of Remote Sensing Images via Joint Height Estimation.

    Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang.

    ๐Ÿ›ฐ๏ธ Remote Sensing

  • ArXiv 2024 Equitable Deep Learning for Diabetic Retinopathy Detection Using Multi-Dimensional Retinal Imaging with Fair Adaptive Scaling: A Retrospective Study. M. Shi*, M.M. Afzal*, H. Huang*, Y. Luo*, C. Wen*, M.O. Khan, Y. Tian, L. Kim. ๐Ÿฅ HealthCare
  • ArXiv 2024 Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning. Y. Luo*, C. Wen*, M. Shi, H. Huang, M. Li, Y. Fang, M. Wang, . ๐Ÿฅ HealthCare
  • ICPR 2024 Goal-Driven Transformer for Robot Behavior Learning from Play Data. C. Wen, J. Liang, S. Yuan, H. Huang, Y. Hao, H. Lin, Y. Liu, Y. Fang. ๐Ÿค– Robotics
  • ICPR 2024 Optimizing Personalized Robot Actions with Ranking of Trajectories. H. Huang, Y. Liu, S. Yuan, C. Wen, Y. Hao, Y. Fang. ๐Ÿค– Robotics
  • GIScience & Remote Sensing 2023 A Shape-Attention Pivot-Net for Identifying Central Pivot Irrigation Systems from Satellite Images Using a Cloud Computing Platform: An Application in the Contiguous US. F. Tian, B. Wu, H. Zeng, M. Zhang, Y. Hu, Y. Xie, C. Wen, Z. Wang, X. Qin, W. Han, H. Yang. ๐Ÿ›ฐ๏ธ Remote Sensing
  • IEEE GRSL 2020 Road Extraction from Remote Sensing Images in Wildland-Urban Interface Areas. R. Chen, X. Li, Y. Hu, C. Wen, L. Peng. ๐Ÿ›ฐ๏ธ Remote Sensing
  • ICAEES 2015 Urban Environmental Pulsation Research Based on Wavelet Decomposition Enhanced ARMA Model. X. Li, L. Peng, T. Chi, C. Wen, Y. Xu. ๐Ÿ›ฐ๏ธ Remote Sensing, ๐Ÿ™๏ธ Urban Studies
  • ๐ŸŒ Trustworthy AI

    Science Advances 2025
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    FairDiffusion: Enhancing Equity in Latent Diffusion Models via Fair Bayesian Perturbation.

    Yan Luo*, Muhammad Osama Khan*, Congcong Wen*, Muhammad Muneeb Afzal, Titus Fidelis Wuermeling, Min Shi, Yu Tian, Yi Fang, Mengyu Wang.

    Code Dataset

    ๐Ÿฅ HealthCare

    ECCV 2024
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    Fairdomain: Achieving fairness in cross-domain medical image segmentation and classification.

    Yu Tian*, Congcong Wen*, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang.

    Code Dataset

    ๐Ÿฅ HealthCare

    ArXiv 2024
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    TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather.

    Xiongwei Zhao*, Congcong Wen*, Yang Wang, Haojie Bai, Wenhao Dou

    Code

    ๐Ÿค– Robotics, ๐Ÿš— Autonomous Driving

    ArXiv 2024
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    How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?

    Congcong Wen, Jiazhao Liang, Shuaihang Yuan, Hao Huang, Yi Fang

    ๐Ÿค– Robotics

    ICCV 2021 Oral
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    Fooling LiDAR Perception via Adversarial Trajectory Perturbation.

    Yiming Li*, Congcong Wen*, Felix Juefei-Xu, Chen Feng

    Project Code | Citations: 63

    ๐Ÿค– Robotics, ๐Ÿš— Autonomous Driving

  • AAAI 2025 Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization. Y, Liu, J. Zhu, C. Wen,, G, Lu, H. Lin, B., Chen. ๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Computer Vision
  • ๐ŸŒ Geospatial Analysis

    STOEN 2019
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    A Novel Spatiotemporal Convolutional Long Short-term Neural Network For Air Pollution Prediction.

    Congcong Wen, Shufu Liu, Xiaojing Yao, Ling Peng, Xiang Li, Yuan Hu, Tianhe Chi.

    Citations: 415

    ๐Ÿ™๏ธ Urban Studies

    IJGIS 2018
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    A Spatial Co-Location Mining Algorithm that Includes Adaptive Proximity Improvements and Distant Instance References.

    Xiaojing Yao, Liujia Chen, Congcong Wen, Ling Peng, Liang Yang, Tianhe Chi, Xiaomeng Wang, Wenhao Yu.

    Citations: 29

    ๐Ÿ™๏ธ Urban Studies

  • IEEE GRSL 2024 Earthquake Spatio-temporal Patterns around Precursory Thermal Infrared (TIR) Anomalies. H. Lin, Y. Zhang, J. Zhou, X. Wang, H. Jin, C. Wenโ€ . ๐Ÿ›ฐ๏ธ Remote Sensing
  • Sensors and Materials 2024 Analysis of the Spatial Heterogeneity of Commuting Flows in Beijing: Perspectives from Mobile Phone Data. S. Guo, Q. Huang, C. Wenโ€ . ๐Ÿ™๏ธ Urban Studies
  • ESSD 2024 A Hydrogeomorphic Dataset for Characterizing Catchment Hydrological Behavior across the Tibetan Plateau. Y. Guo, H. Zheng, Y. Yang, Y. Sang, C. Wen. ๐Ÿ›ฐ๏ธ Remote Sensing
  • IJWF 2020 An Improved VDIโ€“BSI Approach for Mapping Cropland Burned Area Using Combined Data from Landsat 8 Multispectral and Thermal Infrared Bands. S. Liu, S. Wang, T. Chi, C. Wen, T. Wu, D. Wang. ๐Ÿ›ฐ๏ธ Remote Sensing
  • Journal of Geo-Information Science 2019 VLC and PDR Fusion Positioning by Incorporating High-Precision Indoor Map. Y. Cheng, L. Peng, J. Wang, C. Wen, R. Chen. ๐Ÿ™๏ธ Urban Studies
  • Journal of Computer Applications 2019 Improved A* Algorithm and Its Application in Indoor Robot Path Planning. R. Chen, C. Wen, L. Peng, C. You. ๐Ÿค– Robotics
  • IVPAI 2018 Research on Indoor Visible Light Positioning System Based on SLAM Maps. C. Wen, C. You, L. Peng, T. Wu, B. Song, B. Lv. ๐Ÿ™๏ธ Urban Studies
  • Journal of Geo-Information Science 2018 Topic Model Combined with the SVM for Small Scale Land Use Classification. C. Wen, L. Peng, L. Yang, T. Chi. ๐Ÿ™๏ธ Urban Studies
  • Progress In Geography 2017 Relationship between Travel Behavior and Income Level of Urban Residents: A Case Study in Shanghai Municipality. S. Guo, C. Wen, Y. He, T. Per. ๐Ÿ™๏ธ Urban Studies
  • Fire Science And Technology 2017 Mobile Patrol System of Firefighting Facilities Based on BLE and RFID. S. Li, L. Peng, L. Yu, H. Lin, T. Chi, C. Wen. ๐Ÿ™๏ธ Urban Studies
  • Fire Science And Technology 2017 The Building of Integrated Inspection System of Indoor and Outdoor Fire Facilities. S. Cui, L. Peng, S. Li, H. Lin, C. Wen. ๐Ÿ™๏ธ Urban Studies
  • ๐Ÿ“– Academic Services

    Senior Academic Services:

    Journal:

    • Associate Editor, GIScience
    • Guest Editor, Journal of Environmental & Earth Sciences

    Conference:

    • Session Co-Chair, IEEE International Conference on Robotics and Automation (ICRA) 2024
    • Program Committee Member, Association for the Advancement of Artificial Intelligence (AAAI), 2025

    Reviewer

    Journal Review:

    Nature Machine Intelligence (NMI), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition (PR), International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Visualization and Computer Graphics (TVCG), ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), etc.

    Conference Review:

    CVPR 2022/2023/2024, ECCV 2022/2024, ICCV 2023, NeurIPS 2022/2023/2024, ICLR 2023/2024/2025, AAAI 2023/2024, ICRA 2023/2024, IROS 2023/2024, etc.

    ๐Ÿ’ป Teaching

    • Spring 2024, Computer Vision and Pattern Recognition, New York University Abu Dhabi.

    ๐ŸŽ– Honors and Awards

    • 2023 NYUAD Postdoctoral Travel Award
    • 2021 Chinese Academy of Sciences Deanโ€™s Excellent Award
    • 2021 Outstanding Graduates Award of Beijing City
    • 2021 Outstanding Graduates Award of the Chinese Academy of Sciences
    • 2021 Pacemaker to Merit Student, University of Chinese Academy of Sciences
    • 2020 National Scholarship
    • 2020 Outstanding Academic Scholarship for Graduate Student
    • 2019 China Scholarship Council Scholarship
    • 2019 Outstanding Research Paper Award
    • 2018 First Prize in PIE Remote Sensing Software Secondary Development Competition
    • 2017 Merit Student, University of Chinese Academy of Sciences
    • 2016 Chinese Academy of Sciences Scholarship
    • 2016 Outstanding Graduates Award
    • 2016 Outstanding Graduation Thesis Award
    • 2015 National Scholarship
    • 2014 China University of Petroleum Scholarship
    • 2014 Surveying and Mapping Department Scholarship
    • 2014 Second Prize of The Fourth National University GIS Application Skills Competition
    • 2013 Outstanding Student
    • 2013 Outstanding Student Cadre