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09/05/2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
In many real-world scenarios, distribution shifts exist in the streaming...
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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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04/16/2023
Deep Reinforcement Learning-Assisted Age-optimal Transmission Policy for HARQ-aided NOMA Networks
The recent interweaving of AI-6G technologies has sparked extensive rese...
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01/31/2023
A Counterfactual Collaborative Session-based Recommender System
Most session-based recommender systems (SBRSs) focus on extracting infor...
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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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10/15/2022
Massive MIMO Evolution Towards 3GPP Release 18
Since the introduction of fifth-generation new radio (5G-NR) in Third Ge...
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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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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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05/12/2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
Feature selection and instance selection are two important techniques of...
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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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10/02/2020
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop
We study the problem of balancing effectiveness and efficiency in automa...
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09/19/2020
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent
Feature selection aims to select a subset of features to optimize the pe...
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08/27/2020
