Guojie Song

Orcid: 0000-0001-8295-2520

Affiliations:
  • Peking University, Beijing, China


According to our database1, Guojie Song authored at least 146 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DD-Net: Dual Decoder Network With Curriculum Learning for Full Waveform Inversion.
IEEE Trans. Geosci. Remote. Sens., 2024

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.
CoRR, 2024

2023
Learning discrete adaptive receptive fields for graph convolutional networks.
Sci. China Inf. Sci., December, 2023

Seismic image super-resolution reconstruction through deep feature mining network.
Appl. Intell., October, 2023

Self-dependence multi-label learning with double k for missing labels.
Artif. Intell. Rev., June, 2023

Behavior imitation of individual board game players.
Appl. Intell., May, 2023

An Automatic Screening Method for the Passive Surface-Wave Imaging Based on the F-K Domain Energy Characteristics.
IEEE Trans. Geosci. Remote. Sens., 2023

An Unsupervised Inversion Method for Seismic Brittleness Parameters Driven by the Physical Equation.
IEEE Trans. Geosci. Remote. Sens., 2023

D<sup>2</sup>UNet: Dual Decoder U-Net for Seismic Image Super-Resolution Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2023

CAUC: Combining Channel Attention U-Net and Convolution for Seismic Data Resolution Improvement.
IEEE Geosci. Remote. Sens. Lett., 2023

LSTC: When label-specific features meet third-order label correlations.
Inf. Sci., 2023

Fast convex set projection with deep prior for seismic interpolation.
Expert Syst. Appl., 2023

Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task.
Proceedings of the ACM Web Conference 2023, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Continual Learning on Dynamic Graphs via Parameter Isolation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

On Structural Expressive Power of Graph Transformers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hierarchical Transformer for Scalable Graph Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A CNN Based Physical Constraint Modifier Model for Reflectivity Inversion.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Dual-Process Graph Neural Network for Diversified Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Large Scale Network Embedding: A Separable Approach.
IEEE Trans. Knowl. Data Eng., 2022

Domain Adaptive Network Embedding.
IEEE Trans. Big Data, 2022

Guest Editorial: Special Issue on Social Media Computing.
IEEE Trans. Big Data, 2022

Deep Convolutional Neural Network Based Medical Concept Normalization.
IEEE Trans. Big Data, 2022

Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data.
IEEE Trans. Big Data, 2022

A Surface-Wave Inversion Method Based on FHLV Loss Function in LSTM.
IEEE Geosci. Remote. Sens. Lett., 2022

Multi-label active learning through serial-parallel neural networks.
Knowl. Based Syst., 2022

Equivalent Distance Geometry Error for Molecular Conformation Comparison.
CoRR, 2022

Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Polarized Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-label Feature Extraction With Distance-Based Graph Attention Network.
Proceedings of the Rough Sets - International Joint Conference, 2022

Versatile Multi-stage Graph Neural Network for Circuit Representation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Streaming Graph Neural Networks with Generative Replay.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Invariant Factor Graph Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022

Taxonomy-Enhanced Graph Neural Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Network Embedding on Hierarchical Community Structure Network.
ACM Trans. Knowl. Discov. Data, 2021

Stochastic Workflow Authorizations With Queueing Constraints.
IEEE Trans. Dependable Secur. Comput., 2021

Stepping Back to SMILES Transformers for Fast Molecular Representation Inference.
CoRR, 2021

HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks.
CoRR, 2021

Lorentzian Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Improving Graph Neural Networks with Structural Adaptive Receptive Fields.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Sequence-aware Heterogeneous Graph Neural Collaborative Filtering.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network.
Proceedings of the Rough Sets - International Joint Conference, 2021

Deep Molecular Representation Learning via Fusing Physical and Chemical Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Conformation-Guided Molecular Representation with Hamiltonian Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

LEReg: Empower Graph Neural Networks with Local Energy Regularization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Heterogeneous Graph Structure Learning for Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning.
ACM Trans. Knowl. Discov. Data, 2020

Inferring explicit and implicit social ties simultaneously in mobile social networks.
Sci. China Inf. Sci., 2020

Active Domain Transfer on Network Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Graph Structural-topic Neural Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Domain Adaptive Classification on Heterogeneous Information Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Node Representations from Noisy Graph Structures.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

EPNE: Evolutionary Pattern Preserving Network Embedding.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Streaming Graph Neural Networks via Continual Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

Multi-Component Graph Convolutional Collaborative Filtering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

GraLSP: Graph Neural Networks with Local Structural Patterns.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Real-Time Estimation of the Urban Air Quality with Mobile Sensor System.
ACM Trans. Knowl. Discov. Data, 2019

Collective causal inference with lag estimation.
Neurocomputing, 2019

Blow-up and global solutions for a class of time fractional nonlinear reaction-diffusion equation with weakly spatial source.
Appl. Math. Lett., 2019

Tag2Vec: Learning Tag Representations in Tag Networks.
Proceedings of the World Wide Web Conference, 2019

DANE: Domain Adaptive Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition.
Proceedings of the Image and Graphics Technologies and Applications, 2019

Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

SepNE: Bringing Separability to Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality.
IEEE Trans. Knowl. Data Eng., 2018

Spatio-Temporal Routine Mining on Mobile Phone Data.
ACM Trans. Knowl. Discov. Data, 2018

Temporal Causal Inference with Time Lag.
Neural Comput., 2018

Traffic Events Oriented Dynamic Traffic Assignment Model for Expressway Network: A Network Flow Approach.
IEEE Intell. Transp. Syst. Mag., 2018

A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction.
Neurocomputing, 2018

Inferring diffusion networks with life stage heterogeneity.
Sci. China Inf. Sci., 2018

Learning dynamic dependency network structure with time lag.
Sci. China Inf. Sci., 2018

Network topology inference from incomplete observation data.
Sci. China Inf. Sci., 2018

Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach.
IEEE Trans. Knowl. Data Eng., 2017

A compact finite difference scheme for variable order subdiffusion equation.
Commun. Nonlinear Sci. Numer. Simul., 2017

StructInf: Mining Structural Influence from Social Streams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A time-space domain stereo finite difference method for 3D scalar wave propagation.
Comput. Geosci., 2016

Inferring Diffusion Network on Incomplete Cascade Data.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Routine Mining Based Anomaly Detection in Mobile Phone Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Budget Minimization with Time and Influence Constraints in Social Network.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Influence Maximization on Large-Scale Mobile Social Network: A Divide-and-Conquer Method.
IEEE Trans. Parallel Distributed Syst., 2015

Overlapping Decomposition for Gaussian Graphical Modeling.
IEEE Trans. Knowl. Data Eng., 2015

On Influential Nodes Tracking in Dynamic Social Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Probabilistic dynamic causal model for temporal data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improving deep neural network ensembles using reconstruction error.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning.
IEEE Trans. Intell. Transp. Syst., 2014

A Spatial-temporal Topic Segmentation Model for Human Mobile Behavior.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Dynamic boosting in deep learning using reconstruction error.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Deep process neural network for temporal deep learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Traffic zone division using mobile billing data.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Who were you talking to - Mining interpersonal relationships from cellphone network data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Adaptive Weight Optimization for Classification of Imbalanced Data.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Accelerating the 3D Elastic Wave Forward Modeling on GPU and MIC.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Cost sensitive GPS-based activity recognition.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Hierarchical destination prediction based on GPS history.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Automated urban location annotation on mobile records.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Deep Architecture for Traffic Flow Prediction.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Overlapping decomposition for causal graphical modeling.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A short-term freeway traffic flow prediction method based on road section traffic flow structure pattern.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Measurement analysis of traffic flow uncertainty on Chinese highway network.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

An Adaption of Relief for Redundant Feature Elimination.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A online boosting approach for traffic flow forecasting under abnormal conditions.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model Technical Report
CoRR, 2011

Discrete Trajectory Prediction on Mobile Data.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

Transportation Modes Identification from Mobile Phone Data Using Probabilistic Models.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

Simulated Annealing Based Influence Maximization in Social Networks.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning.
Proceedings of the Advances in Neural Networks, 2010

A novel approach to estimate human space-time path based on mobile phone call records.
Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010

Locally kernel regression adapting with data distribution in prediction of traffic flow.
Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010

Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Efficient Skyline Computation in Structured Peer-to-Peer Systems.
IEEE Trans. Knowl. Data Eng., 2009

Accelerating sequence searching: dimensionality reduction method.
Knowl. Inf. Syst., 2009

An experimental study of large-scale mobile social network.
Proceedings of the 18th International Conference on World Wide Web, 2009

Numerical Learning Method for Process Neural Network.
Proceedings of the Advances in Neural Networks, 2009

A Novel Spatio-temporal Clustering Approach by Process Similarity.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Statistical Analysis of Real Large-Scale Mobile Social Network.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Adequacy of Data for Mining Individual Friendship Pattern from Cellular Phone Call Logs.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
A Multiple SVR Approach with Time Lags for Traffic Flow Prediction.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

An On-Road Wireless Sensor Network Approach for Urban Traffic State Monitoring.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Hybrid Process Neural Network based on Spatio-Temporal Similarities for Short-Term Traffic Flow Prediction.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network.
Proceedings of the Advances in Neural Networks, 2008

An online approach based on locally weighted learning for short-term traffic flow prediction.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

A Kalman Filter Based Approach for Outlier Detection in Sensor Networks.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Squeezing Long Sequence Data for Efficient Similarity Search.
Proceedings of the Progress in WWW Research and Development, 2008

2007
An Optimized Process Neural Network Model.
Proceedings of the Advances in Databases: Concepts, 2007

CLAIM: An Efficient Method for Relaxed Frequent Closed Itemsets Mining over Stream Data.
Proceedings of the Advances in Databases: Concepts, 2007

User-Oriented Materialized View Selection.
Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

Dealing with Query Contention Issue in Real-Time Data Warehouses by Dynamic Multi-level Caches.
Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

2006
A Mixed Process Neural Network and its Application to Churn Prediction in Mobile Communications.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006


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