b'Yanjie Fu'

research

∙ 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...

0 Ehtesamul Azim, et al. ∙

research

∙ 02/20/2023

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

Spatiotemporal data mining plays an important role in air quality monito...

0 Mingzhe Liu, et al. ∙

research

∙ 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...

0 Dongjie Wang, et al. ∙

research

∙ 12/27/2022

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

Feature transformation for AI is an essential task to boost the effectiv...

0 Meng Xiao, et al. ∙

research

∙ 12/25/2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations

Urban traffic speed prediction aims to estimate the future traffic speed...

2 Dongkun Wang, et al. ∙

research

∙ 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...

0 Yanjie Fu, et al. ∙

research

∙ 12/04/2022

GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation

Graph generative models have broad applications in biology, chemistry an...

0 Han Huang, et al. ∙

research

∙ 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...

20 Dongjie Wang, et al. ∙

research

∙ 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...

10 Meng Xiao, et al. ∙

research

∙ 09/26/2022

Automated Urban Planning aware Spatial Hierarchies and Human Instructions

Traditional urban planning demands urban experts to spend considerable t...

1 Dongjie Wang, et al. ∙

research

∙ 09/16/2022

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

The peer merit review of research proposals has been the major mechanism...

0 Meng Xiao, et al. ∙

research

∙ 09/16/2022

Self-Optimizing Feature Transformation

Feature transformation aims to extract a good representation (feature) s...

6 Meng Xiao, et al. ∙

research

∙ 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...

0 Haoran Yin, et al. ∙

research

∙ 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...

8 Liangzhe Han, et al. ∙

research

∙ 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...

3 Junchen Ye, et al. ∙

research

∙ 06/24/2022

Iterative Sound Source Localization for Unknown Number of Sources

Sound source localization aims to seek the direction of arrival (DOA) of...

1 Yanjie Fu, et al. ∙

research

∙ 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...

4 Dongjie Wang, et al. ∙

research

∙ 05/25/2022

Semi-supervised Drifted Stream Learning with Short Lookback

In many scenarios, 1) data streams are generated in real time; 2) labele...

13 Weijieying Ren, et al. ∙

research

∙ 05/12/2022

Feature and Instance Joint Selection: A Reinforcement Learning Perspective

Feature selection and instance selection are two important techniques of...

7 Wei Fan, et al. ∙

research

∙ 03/13/2022

Reinforced Imitative Graph Learning for Mobile User Profiling

Mobile user profiling refers to the efforts of extracting users' charact...

6 Dongjie Wang, et al. ∙

research

∙ 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...

4 Dongjie Wang, et al. ∙

research

∙ 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...

1 Dongjie Wang, et al. ∙

research

∙ 10/12/2021

Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning

Urban planning designs land-use configurations and can benefit building ...

20 Dongjie Wang, et al. ∙

research

∙ 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...

7 Ziyue Qiao, et al. ∙

research

∙ 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...

3 Kunpeng Liu, et al. ∙

research

∙ 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...

10 Dongjie Wang, et al. ∙

research

∙ 09/14/2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification

To advance the development of science and technology, research proposals...

24 Meng Xiao, et al. ∙

research

∙ 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...

7 Dongjie Wang, et al. ∙

research

∙ 12/15/2020

Coupled Layer-wise Graph Convolution for Transportation Demand Prediction

Graph Convolutional Network (GCN) has been widely applied in transportat...

1 Junchen Ye, et al. ∙

research

∙ 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...

49 Wei Fan, et al. ∙

research

∙ 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...

6 Xiaosa Zhao, et al. ∙

research

∙ 08/31/2020

Learning Adaptive Embedding Considering Incremental Class

Class-Incremental Learning (CIL) aims to train a reliable model with the...

26 Yang Yang, et al. ∙

research

∙ 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...

12 Wei Fan, et al. ∙

research

∙ 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...

0 Dongjie Wang, et al. ∙

research

∙ 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 ...

0 Ziyue Qiao, et al. ∙

research

∙ 08/22/2020

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning

Urban planning refers to the efforts of designing land-use configuration...

14 Dongjie Wang, et al. ∙

research

∙ 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...

0 Hao Liu, et al. ∙

research

∙ 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...

0 Le Wu, et al. ∙

research

∙ 04/20/2019

A Neural Influence Diffusion Model for Social Recommendation

Precise user and item embedding learning is the key to building a succes...

0 Le Wu, et al. ∙

research

∙ 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...

0 Le Wu, et al. ∙

research

∙ 05/22/2018

Fake News Detection with Deep Diffusive Network Model

In recent years, due to the booming development of online social network...

0 Jiawei Zhang, et al. ∙

research

∙ 11/30/2017

LATTE: Application Oriented Social Network Embedding

In recent years, many research works propose to embed the network struct...

0 Jiawei Zhang, et al. ∙

research

∙ 11/30/2017

LATTE: Application Oriented Network Embedding

In recent years, many research works propose to embed the networked data...

0 Jiawei Zhang, et al. ∙

research

∙ 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...

0 Jiawei Zhang, et al. ∙

research

∙ 05/17/2017

REMIX: Automated Exploration for Interactive Outlier Detection

Outlier detection is the identification of points in a dataset that do n...

0 Yanjie Fu, et al. ∙

Yanjie Fu

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