How Jing
LinkedIn (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Recommender Systems and Techniques, Complex Network Analysis Techniques, Speech Recognition and Synthesis, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Recurrent Recommender Networks(2017)733 cited
- → Neural Survival Recommender(2017)155 cited
- → NEMO(2017)67 cited
- → Ensemble of machine learning and acoustic segment model techniques for speech emotion and autism spectrum disorders recognition(2013)33 cited
- → A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering(2014)17 cited
- Semantic Na"ive Bayes Classifier for Document Classification(2013)
- → Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections(2019)7 cited
- → Ensemble of machine learning algorithms for cognitive and physical speaker load detection(2014)6 cited
- → Contextual Skill Proficiency via Multi-task Learning at LinkedIn(2021)4 cited
- → Sparse maximum entropy deep belief nets(2013)3 cited