A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization. - Jinmeng Rao; Yanjun Qiao; Fu Ren; Junxing Wang; Qingyun Du (Sensors, 2017)

Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. - Song Gao 001; Jinmeng Rao; Xinyi Liu; Yuhao Kang; Qunying Huang; Joseph App (J. Spatial Inf. Sci., 2019)

Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic. - Song Gao 001; Jinmeng Rao; Yuhao Kang; Yunlei Liang; Jake Kruse; Doerte Doepfer; Ajay K. Sethi; Juan Francisco Mandujano Reyes; Jonathan Patz; Brian S. Yandell (CoRR, 2020)

Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic. - Yuhao Kang; Song Gao 001; Yunlei Liang; Mingxiao Li 001; Jinmeng Rao; Jake Kruse (CoRR, 2020)

Mapping county-level mobility pattern changes in the United States in response to COVID-19. - Song Gao 001; Jinmeng Rao; Yuhao Kang; Yunlei Liang; Jake Kruse (ACM SIGSPATIAL Special, 2020)

Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China. - Chao Wu 005; Ningyezi Peng; Xiangyuan Ma; Sheng Li; Jinmeng Rao (Comput. Environ. Urban Syst., 2020)

VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning. - Jinmeng Rao; Song Gao 001; Xiaojin Zhu 001 (GeoAI@SIGSPATIAL, 2021)

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. - Jinmeng Rao; Song Gao 001; Yuhao Kang; Qunying Huang (GIScience (I), 2021)

Spatiotemporal Contrastive Representation Learning for Building Damage Classification. - Bo Peng; Qunying Huang; Jinmeng Rao (IGARSS, 2021)

A privacy-preserving framework for location recommendation using decentralized collaborative machine learning. - Jinmeng Rao; Song Gao 001; Mingxiao Li 001; Qunying Huang (Trans. GIS, 2021)

Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network. - Jinmeng Rao; Song Gao 001; Michelle Miller 006; Alfonso Morales (CoRR, 2022)

STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. - Yuhao Kang; Kunlin Wu; Song Gao 001; Ignavier Ng; Jinmeng Rao; Shan Ye; Fan Zhang 011; Teng Fei 001 (Int. J. Geogr. Inf. Sci., 2022)

Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning. - Ningyezi Peng; Yuliang Xi; Jinmeng Rao; Xiangyuan Ma; Fu Ren (IEEE Trans. Intell. Transp. Syst., 2022)

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. - Yuxiao Qu; Jinmeng Rao; Song Gao 001; Qianheng Zhang; Wei-Lun Chao; Yu Su 001; Michelle Miller 006; Alfonso Morales; Patrick R. Huber (GeoAI@SIGSPATIAL, 2023)

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper). - Jinmeng Rao; Song Gao 001; Gengchen Mai; Krzysztof Janowicz (SIGSPATIAL/GIS, 2023)

An Interactive Knowledge and Learning Environment in Smart Foodsheds. - Yamei Tu; Xiaoqi Wang; Rui Qiu; Han-Wei Shen; Michelle Miller 006; Jinmeng Rao; Song Gao 001; Patrick R. Huber; Allan Hollander; Matthew Lange; Christian Garcia; Joe Stubbs (IEEE Computer Graphics and Applications, 2023)

LOWA: Localize Objects in the Wild with Attributes. - Xiaoyuan Guo; Kezhen Chen; Jinmeng Rao; Yawen Zhang; Baochen Sun; Jie Yang (CoRR, 2023)

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. - Jiaying Lu 001; Jinmeng Rao; Kezhen Chen; Xiaoyuan Guo; Yawen Zhang; Baochen Sun; Carl Yang 001; Jie Yang (CoRR, 2023)

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. - Jinmeng Rao; Song Gao 001; Gengchen Mai; Krzysztof Janowicz (CoRR, 2023)

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. - Gengchen Mai; Ni Lao; Weiwei Sun; Yuchi Ma; Jiaming Song; Chenlin Meng; Hongxu Ma; Jinmeng Rao; Ziyuan Li; Stefano Ermon (CoRR, 2023)

Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. - Zilong Liu; Krzysztof Janowicz; Kitty Currier; Meilin Shi; Jinmeng Rao; Song Gao 001; Ling Cai; Anita Graser (CoRR, 2023)

Choosing GIS graduate programs from afar: Chinese students' perspectives. - Yikang Wang; Yuhao Kang; Haokun Liu; Ce Hou; Bing Zhou; Shan Ye; Yuyan Liu; Jinmeng Rao; Zhenghao Pei; Xiang Ye; Song Gao 001 (Trans. GIS, 2023)

CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches. - Jinmeng Rao; Song Gao 001; Sijia Zhu (Int. J. Geogr. Inf. Sci., 2023)

Tackling Vision Language Tasks through Learning Inner Monologues. - Diji Yang; Kezhen Chen; Jinmeng Rao; Xiaoyuan Guo; Yawen Zhang; Jie Yang 002; Yi Zhang 001 (AAAI, 2024)

SRL: Towards a General-Purpose Framework for Spatial Representation Learning. - Gengchen Mai; Xiaobai Angela Yao; Yiqun Xie; Jinmeng Rao; Hao Li 019; Qing Zhu; Ziyuan Li; Ni Lao (SIGSPATIAL/GIS, 2024)

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. - Diji Yang; Jinmeng Rao; Kezhen Chen; Xiaoyuan Guo; Yawen Zhang; Jie Yang 002; Yi Zhang 001 (SIGIR, 2024)

Higher Layers Need More LoRA Experts. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Baochen Sun; Ruibo Liu; Daiyi Peng; Yawen Zhang; Xiaoyuan Guo; Jie Yang; V. S. Subrahmanian (CoRR, 2024)

Best Practices and Lessons Learned on Synthetic Data for Language Models. - Ruibo Liu; Jerry Wei; Fangyu Liu; Chenglei Si; Yanzhe Zhang; Jinmeng Rao; Steven Zheng; Daiyi Peng; Diyi Yang; Denny Zhou; Andrew M. Dai (CoRR, 2024)

MoLA: MoE LoRA with Layer-wise Expert Allocation. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Ruibo Liu; Baochen Sun; Yawen Zhang; Daiyi Peng; Xiaoyuan Guo; V. S. Subrahmanian (NAACL (Findings), 2025)

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing. - Diji Yang; Linda Zeng; Jinmeng Rao; Yi Zhang 001 (SIGIR, 2025)

Towards the next generation of Geospatial Artificial Intelligence. - Gengchen Mai; Yiqun Xie; Xiaowei Jia; Ni Lao; Jinmeng Rao; Qing Zhu; Zeping Liu; Yao-Yi Chiang; Junfeng Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2025)

CRISP: Clustering Multi-Vector Representations for Denoising and Pruning. - João Veneroso; Rajesh Jayaram; Jinmeng Rao; Gustavo Hernández Ábrego; Majid Hadian; Daniel Cer (CoRR, 2025)