Yanchi Liu

According to our database1, Yanchi Liu authored at least 64 papers between 2008 and 2020.

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Bibliography

2020
Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach.
ACM Trans. Knowl. Discov. Data, 2020

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
CoRR, 2020

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR, 2020

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems.
CoRR, 2020

Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Collaborative Self-Attention Network for Session-based Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.
Proceedings of the 8th International Conference on Learning Representations, 2020

Hierarchical Variational Attention for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

Cross-Domain Recommendation with Adversarial Examples.
Proceedings of the Database Systems for Advanced Applications, 2020

Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web, 2019

Non-Intrusive Load Monitoring by Voltage-Current Trajectory Enabled Transfer Learning.
IEEE Trans. Smart Grid, 2019

Bayesian dual neural networks for recommendation.
Frontiers Comput. Sci., 2019

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation.
CoRR, 2019

Exploiting Aesthetic Features in Visual Contents for Movie Recommendation.
IEEE Access, 2019

Recurrent Convolutional Neural Network for Sequential Recommendation.
Proceedings of the World Wide Web Conference, 2019

Feature-level Deeper Self-Attention Network for Sequential Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Contextualized Self-Attention Network for Session-based Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AdaCML: Adaptive Collaborative Metric Learning for Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Attention and Convolution Enhanced Memory Network for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Personalized Air Travel Prediction: A Multi-factor Perspective.
ACM Trans. Intell. Syst. Technol., 2018

A Generative Model Approach for Geo-Social Group Recommendation.
J. Comput. Sci. Technol., 2018

Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation.
CoRR, 2018

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation.
IEEE Access, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Utilizing advances in correlation analysis for community structure detection.
Expert Syst. Appl., 2017

Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Point-of-Interest Demand Modeling with Human Mobility Patterns.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Exploiting Hierarchical Structures for POI Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Forecasting the rise and fall of volatile point-of-interests.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

2016
Data-Aware Retrodiction for Asynchronous Harmonic Measurement in a Cyber-Physical Energy System.
Sensors, 2016

Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System.
Sensors, 2016

Unified Point-of-Interest Recommendation with Temporal Interval Assessment.
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

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

2015
Asynchronous harmonic analysis based on out-of-sequence measurement for large-scale residential power network.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

2014
Selecting the Right Correlation Measure for Binary Data.
ACM Trans. Knowl. Discov. Data, 2014

Community detection in graphs through correlation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing.
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

Diagnosing New York city's noises with ubiquitous data.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, UbiComp '14, Seattle, WA, 2014

User Profiling for Query Refinement.
Proceedings of the 20th Americas Conference on Information Systems, 2014

2013
Understanding and Enhancement of Internal Clustering Validation Measures.
IEEE Trans. Cybern., 2013

Speeding up correlation search for binary data.
Pattern Recognit. Lett., 2013

2012
Mining blackhole and volcano patterns in directed graphs: a general approach.
Data Min. Knowl. Discov., 2012

2011
Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Urban computing with taxicabs.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

2010
Detecting Blackholes and Volcanoes in Directed Networks
CoRR, 2010

Understanding of Internal Clustering Validation Measures.
Proceedings of the ICDM 2010, 2010

Detecting Blackhole and Volcano Patterns in Directed Networks.
Proceedings of the ICDM 2010, 2010

2008
An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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