Chaoran Huang

Orcid: 0000-0003-3496-0731

Affiliations:
  • University of New South Wales, Sydney, Australia


According to our database1, Chaoran Huang authored at least 28 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A blockchain framework data integrity enhanced recommender system.
Comput. Intell., February, 2023

Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization.
IEEE Access, 2023

2022
Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence.
IEEE Internet Comput., 2022

A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions.
Comput. J., 2022

Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations.
IEEE Trans. Serv. Comput., 2021

Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment.
Future Internet, 2021

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment.
Proceedings of the Databases Theory and Applications, 2021

2020
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves.
ACM Trans. Intell. Syst. Technol., 2020

Software expert discovery via knowledge domain embeddings in a collaborative network.
Pattern Recognit. Lett., 2020

Opinion fraud detection via neural autoencoder decision forest.
Pattern Recognit. Lett., 2020

A unified framework for data integrity protection in people-centric smart cities.
Multim. Tools Appl., 2020

Recommender Systems for the Internet of Things: A Survey.
CoRR, 2020

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Active Object Estimation for Human-Robot Collaborative Tasks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Expertise recommendation in online communities.
PhD thesis, 2019

Similarity-Aware Deep Attentive Model for Clickbait Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Reminder Care System: An Activity-Aware Cross-Device Recommendation System.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
A Survey on Expert Recommendation in Community Question Answering.
J. Comput. Sci. Technol., 2018

Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding.
CoRR, 2018

Position and Distance: Recommendation beyond Matrix Factorization.
CoRR, 2018

Multi-modality Sensor Data Classification with Selective Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation.
Proceedings of the Web Services - ICWS 2018, 2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks.
CoRR, 2017

Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Intent Recognition in Smart Living Through Deep Recurrent Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017


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