Erheng Zhong

According to our database1, Erheng Zhong authored at least 33 papers between 2008 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
FM-ECG: A fine-grained multi-label framework for ECG image classification.
Inf. Sci., 2021

Practical fine-grained learning based anomaly classification for ECG image.
Artif. Intell. Medicine, 2021

2016
The Apps You Use Bring The Blogs to Follow.
CoRR, 2016

Scaling Factorization Machines with Parameter Server.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Geometry Aware Mappings for High Dimensional Sparse Factors.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Building Discriminative User Profiles for Large-scale Content Recommendation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Transitive Transfer Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
User behavior learning and transfer in composite social networks.
ACM Trans. Knowl. Discov. Data, 2014

Multi-transfer: Transfer learning with multiple views and multiple sources.
Stat. Anal. Data Min., 2014

Friendship Prediction in Composite Social Networks.
CoRR, 2014

Adaptive User Distance Modeling in Social Media.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Mixed-Transfer: Transfer Learning over Mixed Graphs.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Beyond clicks: dwell time for personalization.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Crowdsourced time-sync video tagging using temporal and personalized topic modeling.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Feature engineering for semantic place prediction.
Pervasive Mob. Comput., 2013

User demographics prediction based on mobile data.
Pervasive Mob. Comput., 2013

Selective Transfer Learning for Cross Domain Recommendation.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

SMART: Semi-Supervised Music Emotion Recognition with Social Tagging.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Contextual rule-based feature engineering for author-paper identification.
Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Modeling the dynamics of composite social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cross-task crowdsourcing.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Predicting user activity level in social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Active Transfer Learning for Cross-System Recommendation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Contextual Collaborative Filtering via Hierarchical Matrix Factorization.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

ComSoc: adaptive transfer of user behaviors over composite social network.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Discovering Spammers in Social Networks.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning for Text Mining.
Proceedings of the Mining Text Data, 2012

2010
Generalized and Heuristic-Free Feature Construction for Improved Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2010

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009
Universal Learning over Related Distributions and Adaptive Graph Transduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Cross domain distribution adaptation via kernel mapping.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Graph-Based Iterative Hybrid Feature Selection.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008


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