Qi Liu

According to our database1, Qi Liu authored at least 103 papers between 2010 and 2019.

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

Timeline

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Bibliography

2019
Understanding the mechanism of social tie in the propagation process of social network with communication channel.
Frontiers Comput. Sci., 2019

Context-Aware Dual-Attention Network for Natural Language Inference.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Influence Maximization Model.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Exploring the Emerging Type of Comment for Online Videos: DanMu.
TWEB, 2018

A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation.
IEEE Trans. Services Computing, 2018

Price Shock Detection With an Influence-Based Model of Social Attention.
ACM Trans. Management Inf. Syst., 2018

Product Adoption Rate Prediction in a Competitive Market.
IEEE Trans. Knowl. Data Eng., 2018

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM TIST, 2018

Illuminating Recommendation by Understanding the Explicit Item Relations.
J. Comput. Sci. Technol., 2018

Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective.
J. Comput. Sci. Technol., 2018

Finding potential lenders in P2P lending: A Hybrid Random Walk Approach.
Inf. Sci., 2018

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Maximizing the Effect of Information Adoption: A General Framework.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Understand and Assess People's Procrastination by Mining Computer Usage Log.
Proceedings of the Knowledge Science, Engineering and Management, 2018

XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Transcribing Content from Structural Images with Spotlight Mechanism.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Finding Similar Exercises in Online Education Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference.
Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction.
Proceedings of the IEEE International Conference on Data Mining, 2018

A United Approach to Learning Sparse Attributed Network Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.
Proceedings of the Database Systems for Advanced Applications, 2018

Multiple Pairwise Ranking with Implicit Feedback.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Confidence-Aware Matrix Factorization for Recommender Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Exercise-Enhanced Sequential Modeling for Student Performance Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services.
IEEE Trans. Knowl. Data Eng., 2017

An Influence Propagation View of PageRank.
TKDD, 2017

P2P Lending Survey: Platforms, Recent Advances and Prospects.
ACM TIST, 2017

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Solving link-oriented tasks in signed network via an embedding approach.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Tracking the Dynamics in Crowdfunding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Tracking Knowledge Proficiency of Students with Educational Priors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Context-Enriched Neural Network Method for Recognizing Lexical Entailment.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Question Difficulty Prediction for READING Problems in Standard Tests.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring.
TWEB, 2016

Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.
ACM TIST, 2016

Tracking the evolution of social emotions with topic models.
Knowl. Inf. Syst., 2016

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification.
Frontiers Comput. Sci., 2016

Personal Credit Profiling via Latent User Behavior Dimensions on Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Days on Market: Measuring Liquidity in Real Estate Markets.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Portfolio Selections in P2P Lending: A Multi-Objective Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Group Preference Aggregation: A Nash Equilibrium Approach.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Selecting Valuable Customers for Merchants in E-Commerce Platforms.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Sparse Factorization Machines for Click-through Rate Prediction.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A contextual collaborative approach for app usage forecasting.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

Exploring the Choice Under Conflict for Social Event Participation.
Proceedings of the Database Systems for Advanced Applications, 2016

Collaborative Learning Team Formation: A Cognitive Modeling Perspective.
Proceedings of the Database Systems for Advanced Applications, 2016

Forecasting price shocks with social attention and sentiment analysis.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Occupancy-Based Frequent Pattern Mining*.
TKDD, 2015

Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Individual Influence Maximization via Link Recommendation.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Convex Matrix Completion: A Trace-Ball Optimization Perspective.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Product Adoption Rate Prediction: A Multi-factor View.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Identifying Hesitant and Interested Customers for Targeted Social Marketing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Mining User's Location Intention from Mobile Search Log.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Matrix Factorization with Scale-Invariant Parameters.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Cognitive Modelling for Predicting Examinee Performance.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Maximizing the Coverage of Information Propagation in Social Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Indecisiveness in Customer Behaviors.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Information Source Detection via Maximum A Posteriori Estimation.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Cost-Aware Collaborative Filtering for Travel Tour Recommendations.
ACM Trans. Inf. Syst., 2014

A Cocktail Approach for Travel Package Recommendation.
IEEE Trans. Knowl. Data Eng., 2014

Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
TKDD, 2014

Object-Oriented Travel Package Recommendation.
ACM TIST, 2014

Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Influential nodes selection: a data reconstruction perspective.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

On top-k closed sequential patterns mining.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Diversified social influence maximization.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

High Utility Episode Mining Made Practical and Fast.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
A Survey of Context-Aware Mobile Recommendations.
International Journal of Information Technology and Decision Making, 2013

Personalized next-song recommendation in online karaokes.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

PageRank with Priors: An Influence Propagation Perspective.
Proceedings of the IJCAI 2013, 2013

Linear Computation for Independent Social Influence.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Random Walk with Pre-filtering for Social Link Prediction.
Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

2012
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Influential seed items recommendation.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

On Approximation of Real-World Influence Spread.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Analyzing Sequence Data Based on Conditional Random Fields with Co-training.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

Leveraging tagging for neighborhood-aware probabilistic matrix factorization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Collaborative filtering with collective training.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Gaussian Process for Recommender Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Cost-aware travel tour recommendation.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Personalized Travel Package Recommendation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010


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