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06/29/2023
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective
Feature transformation aims to reconstruct an effective representation s...
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05/18/2023
Incremental Causal Graph Learning for Online Unsupervised Root Cause Analysis
The task of root cause analysis (RCA) is to identify the root causes of ...
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04/08/2023
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning
The two fields of urban planning and artificial intelligence (AI) arose ...
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02/24/2023
Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems
Our work focuses on anomaly detection in cyber-physical systems. Prior l...
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02/03/2023
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
In this paper, we propose REASON, a novel framework that enables the aut...
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12/27/2022
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
Feature transformation for AI is an essential task to boost the effectiv...
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12/25/2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations
Urban traffic speed prediction aims to estimate the future traffic speed...
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12/01/2022
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning
The essential task of urban planning is to generate the optimal land-use...
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09/26/2022
Automated Urban Planning aware Spatial Hierarchies and Human Instructions
Traditional urban planning demands urban experts to spend considerable t...
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09/16/2022
Self-Optimizing Feature Transformation
Feature transformation aims to extract a good representation (feature) s...
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08/20/2022
C^2IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection
Multi-view unsupervised feature selection (MUFS) has been demonstrated a...
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05/28/2022
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction
Representation (feature) space is an environment where data points are v...
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03/13/2022
Reinforced Imitative Graph Learning for Mobile User Profiling
Mobile user profiling refers to the efforts of extracting users' charact...
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01/19/2022
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
In this paper, we focus on the problem of modeling dynamic geo-human int...
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12/26/2021
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation
Urban planning refers to the efforts of designing land-use configuration...
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10/12/2021
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning
Urban planning designs land-use configurations and can benefit building ...
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09/29/2021
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy
In this paper, we propose a single-agent Monte Carlo based reinforced fe...
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09/22/2021
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning
Automated characterization of spatial data is a kind of critical geograp...
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01/07/2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
In this paper, we study the problem of mobile user profiling, which is a...
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08/26/2020
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection
While Water Treatment Networks (WTNs) are critical infrastructures for l...
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08/22/2020