Yanjie Fu
Orcid: 0000-0002-1767-8024
According to our database1,
Yanjie Fu
authored at least 193 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework.
IEEE Trans. Intell. Transp. Syst., July, 2024
ACM Trans. Web, May, 2024
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data, May, 2024
ACM Trans. Knowl. Discov. Data, April, 2024
Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit., 2024
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation.
CoRR, 2024
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
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Multi-view Causal Graph Fusion Based Anomaly Detection in Cyber-Physical Infrastructures.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023
ACM Trans. Intell. Syst. Technol., August, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
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
IEEE Trans. Big Data, June, 2023
Driving Maneuver Anomaly Detection Based on Deep Auto-Encoder and Geographical Partitioning.
ACM Trans. Sens. Networks, May, 2023
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
IEEE Trans. Knowl. Data Eng., March, 2023
IEEE Trans. Knowl. Data Eng., March, 2023
Knowl. Inf. Syst., March, 2023
IEEE Trans. Big Data, February, 2023
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.
IEEE Trans. Knowl. Data Eng., 2023
ACM Trans. Intell. Syst. Technol., 2023
CoRR, 2023
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
CoRR, 2023
CoRR, 2023
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning.
CoRR, 2023
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
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
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
Proceedings of the IEEE International Conference on Data Mining, 2023
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
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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
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
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
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 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
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
Proceedings of the IEEE International Conference on Data Mining, 2022
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 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
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
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
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
Proceedings of the IEEE International Conference on Data Mining, 2021
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
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
IEEE Trans. Knowl. Data Eng., 2020
ACM Trans. Knowl. Discov. Data, 2020
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
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
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
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
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
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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
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
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
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
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
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
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
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018
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
ACM Trans. Knowl. Discov. Data, 2017
Knowl. Inf. Syst., 2017
Neurocomputing, 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
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
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
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
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
ACM Trans. Knowl. Discov. Data, 2016
Decis. Support Syst., 2016
Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
CoRR, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
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
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
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
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
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013