Recurrent recommender networks CY Wu, A Ahmed, A Beutel, AJ Smola, H Jing Proceedings of the tenth ACM international conference on web search and data …, 2017 | 835 | 2017 |
Neural survival recommender H Jing, AJ Smola Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 193 | 2017 |
NEMO: Next career move prediction with contextual embedding L Li, H Jing, H Tong, J Yang, Q He, BC Chen Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 96 | 2017 |
Ensemble of machine learning and acoustic segment model techniques for speech emotion and autism spectrum disorders recognition. H Lee, T Hu, H Jing, YF Chang, Y Tsao, YC Kao, TL Pao INTERSPEECH, 215-219, 2013 | 45 | 2013 |
A transfer probabilistic collective factorization model to handle sparse data in collaborative filtering H Jing, AC Liang, SD Lin, Y Tsao 2014 IEEE International Conference on Data Mining, 250-259, 2014 | 19 | 2014 |
Semantic naïve Bayes classifier for document classification H Jing, Y Tsao, KY Chen, HM Wang Proceedings of the Sixth International Joint Conference on Natural Language …, 2013 | 13 | 2013 |
Ensemble of machine learning algorithms for cognitive and physical speaker load detection H Jing, TY Hu, HS Lee, WC Chen, CC Lee, Y Tsao, HM Wang Fifteenth Annual Conference of the International Speech Communication …, 2014 | 10 | 2014 |
Contextual skill proficiency via multi-task learning at linkedin X Yan, A Ma, J Yang, L Zhu, H Jing, J Bollinger, Q He Proceedings of the 30th ACM International Conference on Information …, 2021 | 4 | 2021 |
Neural conditional energy models for multi-label classification H Jing, SD Lin 2014 IEEE International Conference on Data Mining, 240-249, 2014 | 3 | 2014 |
Sparse maximum entropy deep belief nets H Jing, Y Tsao The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013 | 2 | 2013 |
Multi-task learning framework for multi-context machine learning X Yan, W Ma, J Yang, J Bollinger, Q He, L Zhu, H Jing US Patent 11,604,990, 2023 | | 2023 |
Naive Bayes Classifier for Document Classification H Jing, Y Tsao, KY Chen, HM Wang | | 2013 |