Senzhang Wang

Orcid: 0000-0002-3615-4859

According to our database1, Senzhang Wang authored at least 188 papers between 2012 and 2024.

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Bibliography

2024
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024

Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning.
GeoInformatica, July, 2024

SR-HetGNN: session-based recommendation with heterogeneous graph neural network.
Knowl. Inf. Syst., February, 2024

Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction.
Int. J. Mach. Learn. Cybern., January, 2024

Knowledge-based and data-driven underground pressure forecasting based on graph structure learning.
Int. J. Mach. Learn. Cybern., January, 2024

HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering.
Knowl. Based Syst., January, 2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
CoRR, 2024

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.
CoRR, 2024

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
CoRR, 2024

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction.
CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR, 2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
CoRR, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
CoRR, 2024

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
Proceedings of the ACM on Web Conference 2024, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
Proceedings of the ACM on Web Conference 2024, 2024

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks.
IEEE Trans. Knowl. Data Eng., December, 2023

A Robust and Generalized Framework for Adversarial Graph Embedding.
IEEE Trans. Knowl. Data Eng., November, 2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

Adaptive self-propagation graph convolutional network for recommendation.
World Wide Web (WWW), September, 2023

MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Fine-Grained Urban Flow Inference With Incomplete Data.
IEEE Trans. Knowl. Data Eng., June, 2023

Multi-source and heterogeneous marine hydrometeorology spatio-temporal data analysis with machine learning: a survey.
World Wide Web (WWW), May, 2023

Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst., May, 2023

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng., April, 2023

Forest based on Interval Transformation (FIT): A time series classifier with adaptive features.
Expert Syst. Appl., March, 2023

Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution.
IEEE Trans. Knowl. Data Eng., 2023

Boosting source code suggestion with self-supervised Transformer Gated Highway.
J. Syst. Softw., 2023

Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning.
Int. J. Softw. Informatics, 2023

sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation.
CoRR, 2023

Can Transformer and GNN Help Each Other?
CoRR, 2023

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hierarchical Graph Contrastive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PASS: Personalized Advertiser-aware Sponsored Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep Learning for Spatio-Temporal Data Mining: A Survey.
IEEE Trans. Knowl. Data Eng., 2022

Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction.
ACM Trans. Intell. Syst. Technol., 2022

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

IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation.
IEEE Trans. Big Data, 2022

Deep learning based origin-destination prediction via contextual information fusion.
Multim. Tools Appl., 2022

Robust Graph Structure Learning over Images via Multiple Statistical Tests.
CoRR, 2022

Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR, 2022

Predicting Dynamic User-Item Interaction with Meta-Path Guided Recursive RNN.
Algorithms, 2022

Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Physics-Based Spatio-Temporal Modeling With Machine Learning for the Prediction of Oceanic Internal Waves.
Proceedings of the IEEE Smartworld, 2022

Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Robust Graph Structure Learning via Multiple Statistical Tests.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.
Proceedings of the International Conference on Machine Learning, 2022

Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Generative-Free Urban Flow Imputation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Group Reassignment for Dynamic Edge Partitioning.
IEEE Trans. Parallel Distributed Syst., 2021

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2021

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., 2021

TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets.
IEEE Trans. Intell. Transp. Syst., 2021

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

CANE: community-aware network embedding via adversarial training.
Knowl. Inf. Syst., 2021

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.
Inf. Sci., 2021

JDGAN: Enhancing generator on extremely limited data via joint distribution.
Neurocomputing, 2021

Time series classification based on multi-feature dictionary representation and ensemble learning.
Expert Syst. Appl., 2021

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR, 2021

Session-based Recommendation with Heterogeneous Graph Neural Network.
CoRR, 2021

MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Multi-Channel Pooling Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2021

AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern.
Proceedings of the Database Systems for Advanced Applications, 2021

MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021

Hubness-aware User Identity Linkage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Adversarial Directed Graph Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Extracting diverse-shapelets for early classification on time series.
World Wide Web, 2020

Accurate Analytical-Based Multi-Hop Localization With Low Energy Consumption for Irregular Networks.
IEEE Trans. Veh. Technol., 2020

Integrating Multisourced Texts in Online Business Intelligence Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction.
ACM Trans. Spatial Algorithms Syst., 2020

Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2020

Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction.
IEEE Trans. Intell. Transp. Syst., 2020

GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism.
Sensors, 2020

Sketch-then-Edit Generative Adversarial Network.
Knowl. Based Syst., 2020

CDLFM: cross-domain recommendation for cold-start users via latent feature mapping.
Knowl. Inf. Syst., 2020

Mutual clustering on comparative texts via heterogeneous information networks.
Knowl. Inf. Syst., 2020

Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.
Inf. Sci., 2020

CodeGRU: Context-aware deep learning with gated recurrent unit for source code modeling.
Inf. Softw. Technol., 2020

Deep Transfer Learning for Source Code Modeling.
Int. J. Softw. Eng. Knowl. Eng., 2020

Adversarial Directed Graph Embedding.
CoRR, 2020

Interpretable Deep Learning Model for Online Multi-touch Attribution.
CoRR, 2020

SOM-based DDoS Defense Mechanism using SDN for the Internet of Things.
CoRR, 2020

Dynamic network embedding via incremental skip-gram with negative sampling.
Sci. China Inf. Sci., 2020

Decode with Template: Content Preserving Sentiment Transfer.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning.
Proceedings of the Database Systems for Advanced Applications, 2020

Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Label-Aware Graph Convolutional Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

SSMDL: Semi-supervised Multi-task Deep Learning for Transportation Mode Classification and Path Prediction with GPS Trajectories.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Recursive RNN Based Shift Representation Learning for Dynamic User-Item Interaction Prediction.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

Deep neural architecture for geospatial trajectory completion over occupancy gridmap.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Efficient Traffic Estimation With Multi-Sourced Data by Parallel Coupled Hidden Markov Model.
IEEE Trans. Intell. Transp. Syst., 2019

Visual-textual sentiment classification with bi-directional multi-level attention networks.
Knowl. Based Syst., 2019

Adversarial learning for multi-view network embedding on incomplete graphs.
Knowl. Based Syst., 2019

Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data.
Knowl. Inf. Syst., 2019

DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage.
CoRR, 2019

Behavior-aware Service Access Control Mechanism using Security Policy Monitoring for SOA Systems.
CoRR, 2019

Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention.
CoRR, 2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
CoRR, 2019

Multi-Hot Compact Network Embedding.
CoRR, 2019

Sentiment analysis of social images via hierarchical deep fusion of content and links.
Appl. Soft Comput., 2019

Predicting Scientific Impact via Heterogeneous Academic Network Embedding.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Aspect-Based Sentiment Classification with Attentive Neural Turing Machines.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Understanding Information Diffusion via Heterogeneous Information Network Embeddings.
Proceedings of the Database Systems for Advanced Applications, 2019

Multi-Hot Compact Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adversarial Learning for Weakly-Supervised Social Network Alignment.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Forecasting Citywide Traffic Congestion Based on Social Media.
Wirel. Pers. Commun., 2018

Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier Learning.
IEEE Trans. Cybern., 2018

Improving failures prediction by exploring weighted shape-based time-series clustering.
Qual. Reliab. Eng. Int., 2018

Classify social image by integrating multi-modal content.
Multim. Tools Appl., 2018

Unsupervised geographically discriminative feature learning for landmark tagging.
Knowl. Based Syst., 2018

Improving stock market prediction via heterogeneous information fusion.
Knowl. Based Syst., 2018

Exploit latent Dirichlet allocation for collaborative filtering.
Frontiers Comput. Sci., 2018

Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Ensemble Neural Relation Extraction with Adaptive Boosting.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion.
Proceedings of the IEEE International Conference on Data Mining, 2018

Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping.
Proceedings of the Database Systems for Advanced Applications, 2018

Distribution Distance Minimization for Unsupervised User Identity Linkage.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data.
ACM Trans. Inf. Syst., 2017

Detecting Communities on Topic of Transportation With Sparse Crowd Annotations.
IEEE Trans. Intell. Transp. Syst., 2017

DTRP: A Flexible Deep Framework for Travel Route Planning.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Cross-program design space exploration by ensemble transfer learning.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization.
Proceedings of the Database Systems for Advanced Applications, 2017

PPNE: Property Preserving Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2017

Semi-Supervised Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2017

Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

From Properties to Links: Deep Network Embedding on Incomplete Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Learning Geographical Hierarchy Features via a Compositional Model.
IEEE Trans. Multim., 2016

Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement.
ACM Trans. Intell. Syst. Technol., 2016

Geographical Topics Learning of Geo-Tagged Social Images.
IEEE Trans. Cybern., 2016

A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction.
Qual. Reliab. Eng. Int., 2016

CPB: a classification-based approach for burst time prediction in cascades.
Knowl. Inf. Syst., 2016

Clustering Embedded Approaches for Efficient Information Network Inference.
Data Sci. Eng., 2016

Intertwined Viral Marketing through Online Social Networks.
CoRR, 2016

Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Estimating Urban Traffic Congestions with Multi-sourced Data.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Efficient design space exploration via statistical sampling and AdaBoost learning.
Proceedings of the 53rd Annual Design Automation Conference, 2016

Efficient design space exploration by knowledge transfer.
Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016

Intertwined viral marketing in social networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Aggregating Inter-Sentence Information to Enhance Relation Extraction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Social influence analysis in the big data era: a review.
Proceedings of the Big Data over Networks, 2016

2015
Exploiting social circle broadness for influential spreaders identification in social networks.
World Wide Web, 2015

Event detection and popularity prediction in microblogging.
Neurocomputing, 2015

Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching.
CoRR, 2015

Relevance Search on Signed Heterogeneous Information Network Based on Meta-path Factorization.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Influence Maximization Across Partially Aligned Heterogenous Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Location Prediction of Social Images via Generative Model.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

PNA: Partial Network Alignment with Generic Stable Matching.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

CENI: A Hybrid Framework for Efficiently Inferring Information Networks.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Citywide traffic congestion estimation with social media.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Inferring Diffusion Networks with Sparse Cascades by Structure Transfer.
Proceedings of the Database Systems for Advanced Applications, 2015

Burst Time Prediction in Cascades.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Training data reduction to speed up SVM training.
Appl. Intell., 2014

Future Influence Ranking of Scientific Literature.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Exploiting Description Knowledge for Keyphrase Extraction.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Negative Influence Minimizing by Blocking Nodes in Social Networks.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Bootstrap Sampling Based Data Cleaning and Maximum Entropy SVMs for Large Datasets.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Who are More Influential Spreaders? Users with Broader Social Circle or with More Friends?
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012


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