Yanjie Fu

Orcid: 0000-0002-1767-8024

According to our database1, Yanjie Fu authored at least 175 papers between 2013 and 2024.

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Bibliography

2024
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data, May, 2024

DEWP: Deep Expansion Learning for Wind Power Forecasting.
ACM Trans. Knowl. Discov. Data, April, 2024

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent.
CoRR, 2024

Feature Selection as Deep Sequential Generative Learning.
CoRR, 2024

LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
CoRR, 2024

Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows.
CoRR, 2024

DEWP: Deep Expansion Learning for Wind Power Forecasting.
CoRR, 2024

2023
Reinforced Imitative Graph Learning for Mobile User Profiling.
IEEE Trans. Knowl. Data Eng., December, 2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

UrbanKG: An Urban Knowledge Graph System.
ACM Trans. Intell. Syst. Technol., August, 2023

Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning.
IEEE Trans. Knowl. Data Eng., July, 2023

Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation.
IEEE Trans. Knowl. Data Eng., June, 2023

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data, June, 2023

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams.
IEEE Trans. Big Data, June, 2023

Driving Maneuver Anomaly Detection Based on Deep Auto-Encoder and Geographical Partitioning.
ACM Trans. Sens. Networks, May, 2023

Interactive reinforced feature selection with traverse strategy.
Knowl. Inf. Syst., May, 2023

Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training.
VLDB J., March, 2023

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.
ACM Trans. Spatial Algorithms Syst., March, 2023

Learning Adaptive Embedding Considering Incremental Class.
IEEE Trans. Knowl. Data Eng., March, 2023

Automated Feature Selection: A Reinforcement Learning Perspective.
IEEE Trans. Knowl. Data Eng., March, 2023

Automated urban planning aware spatial hierarchies and human instructions.
Knowl. Inf. Syst., March, 2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data, February, 2023

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.
IEEE Trans. Knowl. Data Eng., 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.
ACM Trans. Intell. Syst. Technol., 2023

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.
CoRR, 2023

Feature Cognition Enhancement via Interaction-Aware Automated Transformation.
CoRR, 2023

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
CoRR, 2023

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis.
CoRR, 2023

Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning.
CoRR, 2023

Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization.
CoRR, 2023

Attention-Based Multi-modal Missing Value Imputation for Time Series Data with High Missing Rate.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interdependent Causal Networks for Root Cause Localization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Incremental Causal Graph Learning for Online Root Cause Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing.
Proceedings of the IEEE International Conference on Data Mining, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.
Proceedings of the IEEE International Conference on Data Mining, 2023

Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.
Proceedings of the IEEE International Conference on Data Mining, 2023

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Stream Attention Based U-Net for L3DAS23 Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2023

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach.
IEEE Trans. Knowl. Data Eng., 2022

Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2.
ACM Trans. Intell. Syst. Technol., 2022

FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT.
IEEE Trans. Fuzzy Syst., 2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.
CoRR, 2022

MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation.
CoRR, 2022

Self-Optimizing Feature Transformation.
CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.
CoRR, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Semi-supervised Drifted Stream Learning with Short Lookback.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources.
Proceedings of the Interspeech 2022, 2022

Iterative Sound Source Localization for Unknown Number of Sources.
Proceedings of the Interspeech 2022, 2022

Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets.
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022

2021
Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies.
IEEE Trans. Knowl. Data Eng., 2021

ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1.
ACM Trans. Intell. Syst. Technol., 2021

CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data.
Frontiers Big Data, 2021

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.
Frontiers Big Data, 2021

Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases.
Frontiers Big Data, 2021

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
CoRR, 2021

AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Multi-Armed Bandit Based Feature Selection.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance.
Proceedings of the IEEE International Conference on Data Mining, 2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy.
Proceedings of the IEEE International Conference on Data Mining, 2021

Description Generation for Points of Interest.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Hierarchical Attention Model for Social Contextual Image Recommendation.
IEEE Trans. Knowl. Data Eng., 2020

MP<sup>2</sup>SDA: Multi-Party Parallelized Sparse Discriminant Learning.
ACM Trans. Knowl. Discov. Data, 2020

MoveWithMe: Location Privacy Preservation for Smartphone Users.
IEEE Trans. Inf. Forensics Secur., 2020

Adaptive Weighted Finite Mixture Model: Identifying the Feature-Influence of Real Estate.
Trans. Data Sci., 2020

Multi-Modal Transportation Recommendation with Unified Route Representation Learning.
Proc. VLDB Endow., 2020

Learning Adaptive Embedding Considering Incremental Class.
CoRR, 2020

A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Exploiting Mutual Information for Substructure-aware Graph Representation Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Ambulance Dispatch via Deep Reinforcement Learning.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.
IEEE Trans. Knowl. Data Eng., 2019

A trust-aware random walk model for return propensity estimation and consumer anomaly scoring in online shopping.
Sci. China Inf. Sci., 2019

EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing.
IEEE Access, 2019

A Neural Influence Diffusion Model for Social Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adversarial Substructured Representation Learning for Mobile User Profiling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun.
Proceedings of the Database Systems for Advanced Applications, 2019

Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Joint Representation Learning for Multi-Modal Transportation Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model.
ACM Trans. Intell. Syst. Technol., 2018

Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs.
ACM Trans. Intell. Syst. Technol., 2018

A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis.
ACM Trans. Intell. Syst. Technol., 2018

SmartTransfer: Modeling the Spatiotemporal Dynamics of Passenger Transfers for Crowdedness-Aware Route Recommendations.
ACM Trans. Intell. Syst. Technol., 2018

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.
CoRR, 2018

Fake News Detection with Deep Diffusive Network Model.
CoRR, 2018

Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Representing Urban Functions through Zone Embedding with Human Mobility Patterns.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

De-biasing Covariance-Regularized Discriminant Analysis.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

Privacy-Preserving Multi-task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

RIPA: Real-Time Image Privacy Alert System.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

CSWA: Aggregation-Free Spatial-Temporal Community Sensing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An efficient data processing framework for mining the massive trajectory of moving objects.
Comput. Environ. Urban Syst., 2017

Modeling Buying Motives for Personalized Product Bundle Recommendation.
ACM Trans. Knowl. Discov. Data, 2017

Intelligent bus routing with heterogeneous human mobility patterns.
Knowl. Inf. Syst., 2017

Efficient karaoke song recommendation via multiple kernel learning approximation.
Neurocomputing, 2017

LATTE: Application Oriented Network Embedding.
CoRR, 2017

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Unsupervised P2P Rental Recommendations via Integer Programming.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

REMIX: Automated Exploration for Interactive Outlier Detection.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Incorporating Spatio-Temporal Smoothness for Air Quality Inference.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-party Sparse Discriminant Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Social User Profiling: A Social-Aware Topic Modeling Perspective.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps.
IEEE Trans. Mob. Comput., 2016

Modeling of Geographic Dependencies for Real Estate Ranking.
ACM Trans. Knowl. Discov. Data, 2016

Fused latent models for assessing product return propensity in online commerce.
Decis. Support Syst., 2016

Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
CoRR, 2016

The Impact of Community Safety on House Ranking.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Days on Market: Measuring Liquidity in Real Estate Markets.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Exploiting Human Mobility Patterns for Gas Station Site Selection.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
A General Geographical Probabilistic Factor Model for Point of Interest Recommendation.
IEEE Trans. Knowl. Data Eng., 2015

Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Real Estate Ranking via Mixed Land-use Latent Models.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Station Site Optimization in Bike Sharing Systems.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Discovery System for Finding High-Value Homes.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
A New Framework for Traffic Anomaly Detection.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

User Preference Learning with Multiple Information Fusion for Restaurant Recommendation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Learning geographical preferences for point-of-interest recommendation.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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