Hongke Zhao

According to our database1, Hongke Zhao authored at least 24 papers between 2014 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications.
Scientometrics, 2019

A Structure-Enriched Neural Network for network embedding.
Expert Syst. Appl., 2019

Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems.
CoRR, 2019

Exploiting Cognitive Structure for Adaptive Learning.
CoRR, 2019

Exploiting Cognitive Structure for Adaptive Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Radical-Aware Attention-Based Model for Chinese Text Classification.
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
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2018

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

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

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
CoRR, 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

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

Prospecting the Career Development of Talents: A Survival Analysis Perspective.
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

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

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

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

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

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


  Loading...