Search Results for author: Song Gao

Found 31 papers, 9 papers with code

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs

no code implementations31 Dec 2023 Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Berger-Wolf, Charles Stewart, Song Gao, Wei-Lun Chao, Yu Su

In this work, we leverage the structured context associated with the camera trap images to improve out-of-distribution generalization for the task of species identification in camera traps.

Knowledge Graphs Link Prediction +1

Artificial Intelligence and Human Geography

no code implementations14 Dec 2023 Song Gao

This paper examines the recent advances and applications of AI in human geography especially the use of machine (deep) learning, including place representation and modeling, spatial analysis and predictive mapping, and urban planning and design.

Decision Making

Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethics

no code implementations13 Dec 2023 Yuhao Kang, Song Gao, Robert E. Roth

The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning.

Ethics

DTA: Distribution Transform-based Attack for Query-Limited Scenario

no code implementations12 Dec 2023 Renyang Liu, Wei Zhou, Xin Jin, Song Gao, Yuanyu Wang, Ruxin Wang

In generating adversarial examples, the conventional black-box attack methods rely on sufficient feedback from the to-be-attacked models by repeatedly querying until the attack is successful, which usually results in thousands of trials during an attack.

Hard-label Attack

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows

1 code implementation20 Oct 2023 Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick Huber

This paper proposes FLEE-GNN, a novel Federated Learning System for Edge-Enhanced Graph Neural Network, designed to overcome these challenges and enhance the analysis of geospatial resilience of multicommodity food flow network, which is one type of spatial networks.

Federated Learning

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models

no code implementations29 Sep 2023 Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz

Through this vision paper, we hope to draw the attention of researchers and policymakers in geospatial domains to these privacy and security risks inherent in GeoAI foundation models and advocate for the development of privacy-preserving and secure GeoAI foundation models.

Geographic Question Answering Privacy Preserving +1

CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches

1 code implementation20 Sep 2023 Jinmeng Rao, Song Gao, Sijia Zhu

The prevalence of ubiquitous location-aware devices and mobile Internet enables us to collect massive individual-level trajectory dataset from users.

Ethics Graph Matching +1

Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations

no code implementations5 Jul 2023 Yuhan Ji, Song Gao

This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations.

Distributed fusion filter over lossy wireless sensor networks with the presence of non-Gaussian noise

no code implementations4 Jul 2023 Jiacheng He, Bei Peng, Zhenyu Feng, Xuemei Mao, Song Gao, Gang Wang

In this paper, a generalized packet drop model is proposed to describe the packet loss phenomenon caused by DoS attacks and other factors.

A Model Fusion Distributed Kalman Filter For Non-Gaussian Observation Noise

no code implementations20 Jun 2023 Xuemei Mao, Gang Wang, Bei Peng, Jiacheng He, Kun Zhang, Song Gao

A DKF, called model fusion DKF (MFDKF) is proposed against the non-Gaussain noise.

Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration

1 code implementation SIGMOD/PODS 2023 Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Guoliang Li, Xiaoyong Du, Xiaofeng Jia, Song Gao

The widely used practice is to build task-specific or even dataset-specific solutions, which are hard to generalize and disable the opportunities of knowledge sharing that can be learned from different datasets and multiple tasks.

Entity Resolution Zero-Shot Learning

State Estimation of Wireless Sensor Networks in the Presence of Data Packet Drops and Non-Gaussian Noise

no code implementations14 Jan 2023 Jiacheng He, Gang Wang, Xuemei Mao, Song Gao, Bei Peng

Distributed Kalman filter approaches based on the maximum correntropy criterion have recently demonstrated superior state estimation performance to that of conventional distributed Kalman filters for wireless sensor networks in the presence of non-Gaussian impulsive noise.

GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research

no code implementations20 Oct 2022 Dalton Lunga, Yingjie Hu, Shawn Newsam, Song Gao, Bruno Martins, Lexie Yang, Xueqing Deng

Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption.

Region2Vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions

1 code implementation10 Oct 2022 Yunlei Liang, Jiawei Zhu, Wen Ye, Song Gao

Community Detection algorithms are used to detect densely connected components in complex networks and reveal underlying relationships among components.

Attribute Community Detection +2

STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity

1 code implementation17 Mar 2022 Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, Teng Fei

In this paper, we propose a Spatial Toeplitz Inverse Covariance-Based Clustering (STICC) method that considers both attributes and spatial relationships of geographic objects for multivariate spatial clustering.

Attribute Clustering

DeepSSN: a deep convolutional neural network to assess spatial scene similarity

1 code implementation7 Feb 2022 Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang

Spatial-query-by-sketch is an intuitive tool to explore human spatial knowledge about geographic environments and to support communication with scene database queries.

Data Augmentation Information Retrieval +1

A Review of Location Encoding for GeoAI: Methods and Applications

no code implementations7 Nov 2021 Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

A common need for artificial intelligence models in the broader geoscience is to represent and encode various types of spatial data, such as points (e. g., points of interest), polylines (e. g., trajectories), polygons (e. g., administrative regions), graphs (e. g., transportation networks), or rasters (e. g., remote sensing images), in a hidden embedding space so that they can be readily incorporated into deep learning models.

Detecting Adversarial Examples by Additional Evidence from Noise Domain

no code implementations1 Jan 2021 Song Gao, Shui Yu, Shaowen Yao

In this paper, we utilize the steganalysis rich model (SRM) to generate noise feature maps, and combine them with RGB images to discover the difference between adversarial examples and clean examples.

Steganalysis

Multiscale Dynamic Human Mobility Flow Dataset in the U.S. during the COVID-19 Epidemic

5 code implementations27 Aug 2020 Yuhao Kang, Song Gao, Yunlei Liang, Mingxiao Li, Jinmeng Rao, Jake Kruse

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for monitoring and measuring the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the pandemic.

Social and Information Networks Physics and Society

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

1 code implementation14 Jun 2020 Jinmeng Rao, Song Gao, Yuhao Kang, Qunying Huang

The prevalence of location-based services contributes to the explosive growth of individual-level trajectory data and raises public concerns about privacy issues.

Privacy Preserving

Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic

no code implementations23 Apr 2020 Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Doerte Doepfer, Ajay K. Sethi, Juan Francisco Mandujano Reyes, Jonathan Patz, Brian S. Yandell

The emergence of SARS-CoV-2 and the coronavirus infectious disease (COVID-19) has become a pandemic.

Social and Information Networks Physics and Society Populations and Evolution 65D10 H.4; G.3; J.2

Mapping county-level mobility pattern changes in the United States in response to COVID-19

no code implementations9 Apr 2020 Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse

To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission rate of SARS-COV-2 in the population through (physical) social distancing.

Physics and Society Social and Information Networks Populations and Evolution H.4; H.5

Calibrating the dynamic Huff model for business analysis using location big data

1 code implementation24 Mar 2020 Yunlei Liang, Song Gao, Yuxin Cai, Natasha Zhang Foutz, Lei Wu

In this research, we present a time-aware dynamic Huff model (T-Huff) for location-based market share analysis and calibrate this model using large-scale store visit patterns based on mobile phone location data across ten most populated U. S. cities.

Social and Information Networks H.1

Shape Deformation and Drag Variation of a Coupled Rigid-flexible System in a Flowing Soap Film

no code implementations16 Jan 2020 Song Gao, Song Pan, Huaicheng Wang, Xinliang Tian

We find the shape of the afterbody is determined by the filament length and flow velocity.

Fluid Dynamics

Transferring Multiscale Map Styles Using Generative Adversarial Networks

no code implementations6 May 2019 Yuhao Kang, Song Gao, Robert E. Roth

The advancement of the Artificial Intelligence (AI) technologies makes it possible to learn stylistic design criteria from existing maps or other visual art and transfer these styles to make new digital maps.

Generative Adversarial Network Style Transfer

Extracting human emotions at different places based on facial expressions and spatial clustering analysis

no code implementations6 May 2019 Yuhao Kang, Qingyuan Jia, Song Gao, Xiaohuan Zeng, Yueyao Wang, Stephan Angsuesser, Yu Liu, Xinyue Ye, Teng Fei

In this study, a novel framework for extracting human emotions from large-scale georeferenced photos at different places is proposed.

Clustering

Cannot find the paper you are looking for? You can Submit a new open access paper.