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ORCIDJinmeng Rao
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2020 – today
- 2024
[c7]Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
:
Tackling Vision Language Tasks through Learning Inner Monologues. AAAI 2024: 19350-19358- [c6]Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang:
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. SIGIR 2024: 730-740 - [i17]Chongyang Gao, Kezhen Chen, Jinmeng Rao, Baochen Sun, Ruibo Liu, Daiyi Peng, Yawen Zhang, Xiaoyuan Guo, Jie Yang, V. S. Subrahmanian:
Higher Layers Need More LoRA Experts. CoRR abs/2402.08562 (2024) - [i16]Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai:
Best Practices and Lessons Learned on Synthetic Data for Language Models. CoRR abs/2404.07503 (2024) - [i15]Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang:
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. CoRR abs/2405.13021 (2024) - 2023
- [j10]Yamei Tu, Xiaoqi Wang, Rui Qiu, Han-Wei Shen, Michelle Miller, Jinmeng Rao, Song Gao, Patrick R. Huber, Allan Hollander, Matthew Lange, Christian Garcia, Joe Stubbs:
An Interactive Knowledge and Learning Environment in Smart Foodsheds. IEEE Computer Graphics and Applications 43(3): 36-47 (2023) - [j9]Jinmeng Rao, Song Gao, Sijia Zhu:
CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches. Int. J. Geogr. Inf. Sci. 37(12): 2538-2574 (2023) - [j8]Yikang Wang, Yuhao Kang, Haokun Liu, Ce Hou, Bing Zhou, Shan Ye, Yuyan Liu, Jinmeng Rao, Zhenghao Pei, Xiang Ye, Song Gao:
Choosing GIS graduate programs from afar: Chinese students' perspectives. Trans. GIS 27(2): 450-475 (2023) - [c5]Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber:
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. GeoAI@SIGSPATIAL 2023: 63-72 - [c4]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper). SIGSPATIAL/GIS 2023: 41:1-41:4 - [e1]Jinmeng Rao, Song Gao, Heba Aly, Emre Eftelioglu, Yan Li, Yiqun Xie:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [i14]Xiaoyuan Guo, Kezhen Chen, Jinmeng Rao, Yawen Zhang, Baochen Sun, Jie Yang:
LOWA: Localize Objects in the Wild with Attributes. CoRR abs/2305.20047 (2023) - [i13]Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang:
Tackling Vision Language Tasks Through Learning Inner Monologues. CoRR abs/2308.09970 (2023) - [i12]Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang:
Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. CoRR abs/2309.04041 (2023) - [i11]Jinmeng Rao, Song Gao, Sijia Zhu:
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches. CoRR abs/2309.11587 (2023) - [i10]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. CoRR abs/2309.17319 (2023) - [i9]Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon:
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. CoRR abs/2310.00413 (2023) - [i8]Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber:
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. CoRR abs/2310.13248 (2023) - [i7]Zilong Liu, Krzysztof Janowicz, Kitty Currier, Meilin Shi, Jinmeng Rao, Song Gao, Ling Cai, Anita Graser:
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. CoRR abs/2312.01151 (2023) - 2022
- [j7]Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei:
STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. Int. J. Geogr. Inf. Sci. 36(8): 1518-1549 (2022) - [j6]Ningyezi Peng, Yuliang Xi, Jinmeng Rao, Xiangyuan Ma, Fu Ren:
Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23(7): 8037-8047 (2022) - [i6]Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei:
STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. CoRR abs/2203.09611 (2022) - [i5]Jinmeng Rao, Song Gao, Michelle Miller, Alfonso Morales:
Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network. CoRR abs/2210.08042 (2022) - 2021
- [j5]Jinmeng Rao, Song Gao, Mingxiao Li, Qunying Huang:
A privacy-preserving framework for location recommendation using decentralized collaborative machine learning. Trans. GIS 25(3): 1153-1175 (2021) - [c3]Jinmeng Rao, Song Gao, Xiaojin Zhu:
VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning. GeoAI@SIGSPATIAL 2021: 43-46 - [c2]Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang:
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. GIScience (I) 2021: 12:1-12:17 - [c1]Bo Peng, Qunying Huang, Jinmeng Rao:
Spatiotemporal Contrastive Representation Learning for Building Damage Classification. IGARSS 2021: 8562-8565 - 2020
- [j4]Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse:
Mapping county-level mobility pattern changes in the United States in response to COVID-19. ACM SIGSPATIAL Special 12(1): 16-26 (2020) - [j3]Chao Wu, Ningyezi Peng, Xiangyuan Ma, Sheng Li, Jinmeng Rao:
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China. Comput. Environ. Urban Syst. 84: 101547 (2020) - [i4]Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse:
Mapping county-level mobility pattern changes in the United States in response to COVID-19. CoRR abs/2004.04544 (2020) - [i3]Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Doerte Doepfer, Ajay K. Sethi, Juan Francisco Mandujano Reyes, Jonathan Patz, Brian S. Yandell:
Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic. CoRR abs/2004.11430 (2020) - [i2]Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang:
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. CoRR abs/2006.10521 (2020) - [i1]Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse:
Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic. CoRR abs/2008.12238 (2020)
2010 – 2019
- 2019
- [j2]Song Gao, Jinmeng Rao, Xinyi Liu, Yuhao Kang, Qunying Huang, Joseph App:
Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. J. Spatial Inf. Sci. 19: 105-129 (2019) - 2017
- [j1]Jinmeng Rao, Yanjun Qiao, Fu Ren, Junxing Wang, Qingyun Du:
A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization. Sensors 17(9): 1951 (2017)
Coauthor Index
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