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07/28/2023
Holistic Survey of Privacy and Fairness in Machine Learning
Privacy and fairness are two crucial pillars of responsible Artificial I...
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06/28/2023
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting
Forecasting the number of visits to Points-of-Interest (POI) in an urban...
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06/21/2023
Towards Mobility Data Science (Vision Paper)
Mobility data captures the locations of moving objects such as humans, a...
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06/19/2023
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
A fundamental problem in data management is to find the elements in an a...
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02/05/2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
Machine learning (ML) is playing an increasing role in decision-making t...
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01/16/2023
Supporting Secure Dynamic Alert Zones Using Searchable Encryption and Graph Embedding
Location-based alerts have gained increasing popularity in recent years,...
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01/09/2023
Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making
Ride-hailing services have skyrocketed in popularity due to the convenie...
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11/20/2022
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks
Range aggregate queries (RAQs) are an integral part of many real-world a...
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08/20/2022
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy
Several companies (e.g., Meta, Google) have initiated "data-for-good" pr...
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04/04/2022
Models and Mechanisms for Fairness in Location Data Processing
Location data use has become pervasive in the last decade due to the adv...
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02/24/2022
Differentially-Private Publication of Origin-Destination Matrices with Intermediate Stops
Conventional origin-destination (OD) matrices record the count of trips ...
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10/07/2021
Gaussian Process for Trajectories
The Gaussian process is a powerful and flexible technique for interpolat...
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09/27/2021
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
The crime forecasting is an important problem as it greatly contributes ...
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08/27/2021
Quantifying Intrinsic Value of Information of Trajectories
A trajectory, defined as a sequence of location measurements, contains v...
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08/21/2021
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks
Adversarial data examples have drawn significant attention from the mach...
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08/21/2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Federated learning enables multiple clients, such as mobile phones and o...
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08/03/2021
A Neural Database for Differentially Private Spatial Range Queries
Mobile apps and location-based services generate large amounts of locati...
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07/29/2021
HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data
Mobile apps that use location data are pervasive, spanning domains such ...
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07/10/2021
NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond
Range aggregate queries (RAQs) are an integral part of many real-world a...
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05/03/2021
An Efficient and Secure Location-based Alert Protocol using Searchable Encryption and Huffman Codes
Location data are widely used in mobile apps, ranging from location-base...
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12/14/2020
Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data
As countries look towards re-opening of economic activities amidst the o...
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10/07/2020
Kartta Labs: Collaborative Time Travel
We introduce the modular and scalable design of Kartta Labs, an open sou...
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08/25/2020
Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces
A geo-marketplace allows users to be paid for their location data. Users...
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04/20/2020
A Secure Location-based Alert System with Tunable Privacy-Performance Trade-off
Monitoring location updates from mobile users has important applications...
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03/03/2020
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Identifying mobility behaviors in rich trajectory data is of great econo...
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02/28/2020
Dynamic Skyline Queries on Encrypted Data Using Result Materialization
Skyline computation is an increasingly popular query, with broad applica...
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09/03/2019
Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper)
With the widespread installation of location-enabled devices on public t...
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09/02/2019
Differentially Private Publication of Location Entropy
Location entropy (LE) is a popular metric for measuring the popularity o...
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09/01/2019
A Privacy-Preserving, Accountable and Spam-Resilient Geo-Marketplace
Mobile devices with rich features can record videos, traffic parameters ...
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06/27/2019
Adversarial Representation Learning on Large-Scale Bipartite Graphs
Graph representation on large-scale bipartite graphs is central for a va...
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10/09/2017
A Review on the Applications of Crowdsourcing in Human Pathology
The advent of the digital pathology has introduced new avenues of diagno...
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07/06/2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Spatiotemporal forecasting has various applications in neuroscience, cli...
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01/21/2017