Jinmeng Rao - RankMe

43 papers A* 3C 1Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CRISP: Clustering Multi-Vector Representations for Denoising and Pruning. CoRR João Veneroso, Rajesh Jayaram, Jinmeng Rao, Gustavo Hernández Ábrego, Majid Hadian, Daniel Cer
2025	J	`jnl`	Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language. CoRR Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, Chiang-Wei Fang, Zeyu Zheng, Jie Yang
2025	A*	`conf`	Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing. SIGIR Diji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang
2025	J	`jnl`	Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing. CoRR Diji Yang, Linda Zeng, Jinmeng Rao, Yi Zhang
2025	—	`conf`	MoLA: MoE LoRA with Layer-wise Expert Allocation. NAACL (Findings) Chongyang Gao, Kezhen Chen, Jinmeng Rao, Ruibo Liu, Baochen Sun, Yawen Zhang, Daiyi Peng, Xiaoyuan Guo, V. S. Subrahmanian
2025	J	`jnl`	Towards the next generation of Geospatial Artificial Intelligence. Int. J. Appl. Earth Obs. Geoinformation Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Junfeng Jiao
2024	J	`jnl`	Best Practices and Lessons Learned on Synthetic Data for Language Models. CoRR Ruibo Liu, Jerry Wei, Fangyu Liu, Chenglei Si, Yanzhe Zhang, Jinmeng Rao, Steven Zheng, Daiyi Peng, Diyi Yang, Denny Zhou, Andrew M. Dai
2024	J	`jnl`	Higher Layers Need More LoRA Experts. CoRR Chongyang Gao, Kezhen Chen, Jinmeng Rao, Baochen Sun, Ruibo Liu, Daiyi Peng, Yawen Zhang, Xiaoyuan Guo, Jie Yang, V. S. Subrahmanian
2024	A*	`conf`	IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. SIGIR Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2024	J	`jnl`	IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. CoRR Diji Yang, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2024	—	`ed.`	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024 GeoIndustry@SIGSPATIAL Jinmeng Rao, Emre Eftelioglu, Heba Aly, Yiqun Xie, Song Gao
2024	—	`conf`	SRL: Towards a General-Purpose Framework for Spatial Representation Learning. SIGSPATIAL/GIS Gengchen Mai, Xiaobai Angela Yao, Yiqun Xie, Jinmeng Rao, Hao Li, Qing Zhu, Ziyuan Li, Ni Lao
2024	A*	`conf`	Tackling Vision Language Tasks through Learning Inner Monologues. AAAI Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2023	J	`jnl`	An Interactive Knowledge and Learning Environment in Smart Foodsheds. IEEE Computer Graphics and Applications 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
2023	—	`conf`	Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper). SIGSPATIAL/GIS Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz
2023	J	`jnl`	Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. CoRR Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz
2023	J	`jnl`	CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches. CoRR Jinmeng Rao, Song Gao, Sijia Zhu
2023	J	`jnl`	CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches. Int. J. Geogr. Inf. Sci. Jinmeng Rao, Song Gao, Sijia Zhu
2023	J	`jnl`	Choosing GIS graduate programs from afar: Chinese students' perspectives. Trans. GIS Yikang Wang, Yuhao Kang, Haokun Liu, Ce Hou, Bing Zhou, Shan Ye, Yuyan Liu, Jinmeng Rao, Zhenghao Pei, Xiang Ye, Song Gao
2023	J	`jnl`	Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. CoRR Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang
2023	—	`conf`	FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. GeoAI@SIGSPATIAL Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
2023	J	`jnl`	FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. CoRR Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber
2023	J	`jnl`	Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. CoRR Zilong Liu, Krzysztof Janowicz, Kitty Currier, Meilin Shi, Jinmeng Rao, Song Gao, Ling Cai, Anita Graser
2023	J	`jnl`	LOWA: Localize Objects in the Wild with Attributes. CoRR Xiaoyuan Guo, Kezhen Chen, Jinmeng Rao, Yawen Zhang, Baochen Sun, Jie Yang
2023	—	`ed.`	Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2023, Hamburg, Germany, 13 November 2023 GeoIndustry@SIGSPATIAL Jinmeng Rao, Song Gao, Heba Aly, Emre Eftelioglu, Yan Li, Yiqun Xie
2023	J	`jnl`	SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. CoRR Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon
2023	J	`jnl`	Tackling Vision Language Tasks Through Learning Inner Monologues. CoRR Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang
2022	J	`jnl`	Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network. CoRR Jinmeng Rao, Song Gao, Michelle Miller, Alfonso Morales
2022	J	`jnl`	STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. CoRR Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei
2022	J	`jnl`	STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. Int. J. Geogr. Inf. Sci. Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei
2022	J	`jnl`	Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Ningyezi Peng, Yuliang Xi, Jinmeng Rao, Xiangyuan Ma, Fu Ren
2021	J	`jnl`	A privacy-preserving framework for location recommendation using decentralized collaborative machine learning. Trans. GIS Jinmeng Rao, Song Gao, Mingxiao Li, Qunying Huang
2021	—	`conf`	LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. GIScience (I) Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang
2021	C	`conf`	Spatiotemporal Contrastive Representation Learning for Building Damage Classification. IGARSS Bo Peng, Qunying Huang, Jinmeng Rao
2021	—	`conf`	VTSV: A Privacy-Preserving Vehicle Trajectory Simulation and Visualization Platform Using Deep Reinforcement Learning. GeoAI@SIGSPATIAL Jinmeng Rao, Song Gao, Xiaojin Zhu
2020	J	`jnl`	Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China. Comput. Environ. Urban Syst. Chao Wu, Ningyezi Peng, Xiangyuan Ma, Sheng Li, Jinmeng Rao
2020	J	`jnl`	LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection. CoRR Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang
2020	J	`jnl`	Mapping county-level mobility pattern changes in the United States in response to COVID-19. CoRR Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse
2020	J	`jnl`	Mapping county-level mobility pattern changes in the United States in response to COVID-19. ACM SIGSPATIAL Special Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse
2020	J	`jnl`	Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic. CoRR Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Doerte Doepfer, Ajay K. Sethi, Juan Francisco Mandujano Reyes, Jonathan Patz, Brian S. Yandell
2020	J	`jnl`	Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic. CoRR Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse
2019	J	`jnl`	Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. J. Spatial Inf. Sci. Song Gao, Jinmeng Rao, Xinyi Liu, Yuhao Kang, Qunying Huang, Joseph App
2017	J	`jnl`	A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization. Sensors Jinmeng Rao, Yanjun Qiao, Fu Ren, Junxing Wang, Qingyun Du