Hongzhi Yin

According to our database1, Hongzhi Yin authored at least 100 papers between 2011 and 2019.

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Bibliography

2019
Layered convolutional dictionary learning for sparse coding itemsets.
World Wide Web, 2019

Matching user accounts across social networks based on username and display name.
World Wide Web, 2019

Leveraging multi-aspect time-related influence in location recommendation.
World Wide Web, 2019

Spatiotemporal Representation Learning for Translation-Based POI Recommendation.
ACM Trans. Inf. Syst., 2019

Efficient User Guidance for Validating Participatory Sensing Data.
ACM TIST, 2019

User Guidance for Efficient Fact Checking.
PVLDB, 2019

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms.
PVLDB, 2019

MCP: A multi-component learning machine to predict protein secondary structure.
Comp. in Bio. and Med., 2019

Online User Representation Learning Across Heterogeneous Social Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Enhancing Collaborative Filtering with Generative Augmentation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Streaming Session-based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Inferring Substitutable Products with Deep Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Social Influence-Based Group Representation Learning for Group Recommendation.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

AIR: Attentional Intention-Aware Recommender Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Semi-supervised Clustering with Deep Metric Learning.
Proceedings of the Database Systems for Advanced Applications, 2019

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.
Proceedings of the Database Systems for Advanced Applications, 2019

Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Spatiotemporal Recommendation in Geo-Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Exploiting detected visual objects for frame-level video filtering.
World Wide Web, 2018

TPM: A Temporal Personalized Model for Spatial Item Recommendation.
ACM TIST, 2018

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.
Knowl.-Based Syst., 2018

Preface.
J. Comput. Sci. Technol., 2018

A deep dive into user display names across social networks.
Inf. Sci., 2018

Matching user accounts based on user generated content across social networks.
Future Generation Comp. Syst., 2018

Discrete Deep Learning for Fast Content-Aware Recommendation.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Extracting Representative User Subset of Social Networks Towards User Characteristics and Topological Features.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Unified User and Item Representation Learning for Joint Recommendation in Social Network.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Eliminating Temporal Conflicts in Uncertain Temporal Knowledge Graphs.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Streaming Ranking Based Recommender Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Look Deeper See Richer: Depth-aware Image Paragraph Captioning.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Mining Subgraphs from Propagation Networks through Temporal Dynamic Analysis.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Discrete Ranking-based Matrix Factorization with Self-Paced Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Neural Memory Streaming Recommender Networks with Adversarial Training.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards the Learning of Weighted Multi-label Associative Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

LC-RNN: A Deep Learning Model for Traffic Speed Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

Joint Event-Partner Recommendation in Event-Based Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Computing Crowd Consensus with Partial Agreement.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Effective and Efficient User Account Linkage across Location Based Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Modeling Patient Visit Using Electronic Medical Records for Cost Profile Estimation.
Proceedings of the Database Systems for Advanced Applications, 2018

Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2018

Publishing Graph Node Strength Histogram with Edge Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2018

Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs.
Proceedings of the Database Systems for Advanced Applications, 2018

A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud.
Proceedings of the Database Systems for Advanced Applications, 2018

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation.
Proceedings of the Databases Theory and Applications, 2018

2017
Answer validation for generic crowdsourcing tasks with minimal efforts.
VLDB J., 2017

Argument discovery via crowdsourcing.
VLDB J., 2017

Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2017

ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.
ACM TIST, 2017

Recommendation in Context-Rich Environment: An Information Network Analysis Approach.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Understanding the User Display Names across Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

People Opinion Topic Model: Opinion based User Clustering in Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Influenced Nodes Discovery in Temporal Contact Network.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Retaining Data from Streams of Social Platforms with Minimal Regret.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Jointly Modeling Heterogeneous Temporal Properties in Location Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2017

Exploiting Spatio-Temporal User Behaviors for User Linkage.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Time-Constrained Graph Pattern Matching in a Large Temporal Graph.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

A Time and Sentiment Unification Model for Personalized Recommendation.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Group Recommender Model Based on Preference Interaction.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

An Integrated Model for Effective Saliency Prediction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Spatio-Temporal Recommendation in Social Media
Springer Briefs in Computer Science, Springer, ISBN: 978-981-10-0748-4, 2016

Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation.
ACM Trans. Inf. Syst., 2016

Adapting to User Interest Drift for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2016

A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs.
ACM TIST, 2016

Graph-Based Metric Embedding for Next POI Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Keyword-aware continuous kNN query on road networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Discovering interpretable geo-social communities for user behavior prediction.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

SPORE: A sequential personalized spatial item recommender system.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

A Unified Framework for Fine-Grained Opinion Mining from Online Reviews.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Learning Graph-based POI Embedding for Location-based Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Using Detected Visual Objects to Index Video Database.
Proceedings of the Databases Theory and Applications, 2016

2015
Dynamic User Modeling in Social Media Systems.
ACM Trans. Inf. Syst., 2015

Modeling Location-Based User Rating Profiles for Personalized Recommendation.
TKDD, 2015

Geographical Constraint and Temporal Similarity Modeling for Point-of-Interest Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Discovering Organized POI Groups in a City.
Proceedings of the Database Systems for Advanced Applications, 2015

Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Predicting Users' Purchasing Behaviors Using Their Browsing History.
Proceedings of the Databases Theory and Applications, 2015

Predicting Passengers in Public Transportation Using Smart Card Data.
Proceedings of the Databases Theory and Applications, 2015

2014
LCARS: A Spatial Item Recommender System.
ACM Trans. Inf. Syst., 2014

A temporal context-aware model for user behavior modeling in social media systems.
Proceedings of the International Conference on Management of Data, 2014

2013
TeRec: A Temporal Recommender System Over Tweet Stream.
PVLDB, 2013

LCARS: a location-content-aware recommender system.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A unified model for stable and temporal topic detection from social media data.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Challenging the Long Tail Recommendation.
PVLDB, 2012

2011
Finding a Wise Group of Experts in Social Networks.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011


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