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08/07/2023
Quantifying the Impact of Large Language Models on Collective Opinion Dynamics
The process of opinion expression and exchange is a critical component o...
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07/20/2023
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation
Generating realistic human flows across regions is essential for our und...
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05/19/2023
Towards Human-AI Collaborative Urban Science Research Enabled by Pre-trained Large Language Models
Pre-trained large language models (PLMs) have the potential to support u...
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03/09/2023
GaitEditer: Attribute Editing for Gait Representation Learning
Gait pattern is a promising biometric for applications, as it can be cap...
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03/06/2023
Exploring Deep Models for Practical Gait Recognition
Gait recognition is a rapidly advancing vision technique for person iden...
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11/12/2022
OpenGait: Revisiting Gait Recognition Toward Better Practicality
Gait recognition is one of the most important long-distance identificati...
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10/18/2022
Graph Attention Networks Unveil Determinants of Intra- and Inter-city Health Disparity
Understanding the determinants underlying variations in urban health sta...
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09/20/2022
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
The spread of COVID-19 revealed that transmission risk patterns are not ...
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06/28/2022
Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark
Gait depicts individuals' unique and distinguishing walking patterns and...
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03/08/2022
GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality
Gait is one of the most promising biometrics to identify individuals at ...
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10/24/2021
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
In this study, we propose using a neural embedding model-graph neural ne...
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09/02/2020
Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises
The objective of this study is to propose and test an adaptive reinforce...
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07/31/2020
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions
In this paper, we propose a deep learning model to forecast the range of...
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04/07/2020