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09/04/2023
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
The objective of topic inference in research proposals aims to obtain th...
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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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04/25/2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Temporal knowledge graph (TKG) reasoning aims to predict the future miss...
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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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02/20/2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Spatiotemporal data mining plays an important role in air quality monito...
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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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12/07/2022
MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation
Recently, many deep learning based beamformers have been proposed for mu...
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12/04/2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
Graph generative models have broad applications in biology, chemistry an...
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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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09/28/2022
Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals
Funding agencies are largely relied on a topic matching between domain e...
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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
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
The peer merit review of research proposals has been the major mechanism...
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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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07/15/2022
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources
Recent neural network based Direction of Arrival (DoA) estimation algori...
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06/30/2022
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction
Traffic demand forecasting by deep neural networks has attracted widespr...
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06/28/2022
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
Recent studies have shown great promise in applying graph neural network...
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06/24/2022
Iterative Sound Source Localization for Unknown Number of Sources
Sound source localization aims to seek the direction of arrival (DOA) of...
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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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05/25/2022
Semi-supervised Drifted Stream Learning with Short Lookback
In many scenarios, 1) data streams are generated in real time; 2) labele...
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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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10/08/2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
With the growth of the academic engines, the mining and analysis acquisi...
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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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09/14/2021
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
To advance the development of science and technology, research proposals...
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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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12/15/2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Graph Convolutional Network (GCN) has been widely applied in transportat...
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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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08/31/2020
Learning Adaptive Embedding Considering Incremental Class
Class-Incremental Learning (CIL) aims to train a reliable model with the...
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08/27/2020
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
In this paper, we study the problem of balancing effectiveness and effic...
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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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08/23/2020
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
While Graph Neural Network (GNN) has shown superiority in learning node ...
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08/22/2020
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning
Urban planning refers to the efforts of designing land-use configuration...
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07/11/2020
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine
Public transportation plays a critical role in people's daily life. It h...
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05/25/2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
In many recommender systems, users and items are associated with attribu...
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04/20/2019
A Neural Influence Diffusion Model for Social Recommendation
Precise user and item embedding learning is the key to building a succes...
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11/07/2018
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
Collaborative Filtering (CF) is one of the most successful approaches fo...
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05/22/2018
Fake News Detection with Deep Diffusive Network Model
In recent years, due to the booming development of online social network...
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11/30/2017
LATTE: Application Oriented Social Network Embedding
In recent years, many research works propose to embed the network struct...
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11/30/2017
LATTE: Application Oriented Network Embedding
In recent years, many research works propose to embed the networked data...
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11/26/2017
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder
Network embedding aims at projecting the network data into a low-dimensi...
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05/17/2017
