Cheng Luo

Affiliations:
  • University of New South Wales, Sydney, Australia (PhD 2016)


According to our database1, Cheng Luo authored at least 12 papers between 2008 and 2016.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2016
Temporal Dynamics in Recommender Systems.
PhD thesis, 2016

Bayesian Wishart matrix factorization.
Data Min. Knowl. Discov., 2016

2015
BoostMF: Boosted Matrix Factorisation for Collaborative Ranking.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Probabilistic temporal bilinear model for temporal dynamic recommender systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Towards Solving the Cold Start Transition Problem in Dynamic Recommender Systems.
Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

Learning Factor Selection for Boosted Matrix Factorisation in Recommender Systems.
Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

2014
Self-training Temporal Dynamic Collaborative Filtering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
A logic of probabilistic knowledge and strategy.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2011
Symbolic model checking of probabilistic knowledge.
Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2011), 2011

2010
Improved Bounded Model Checking for a Fair Branching-Time Temporal Epistemic Logic.
Proceedings of the Model Checking and Artificial Intelligence - 6th International Workshop, 2010

2008
Robust object tracking using the particle filtering and level set methods: A comparative experiment.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

GATE: A Novel Robust Object Tracking Method Using the Particle Filtering and Level Set Method.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008


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