Semantic Naïve Bayes Classifier for Document Classification. - How Jing; Yu Tsao 001; Kuan-Yu Chen 002; Hsin-Min Wang (IJCNLP, 2013)

Sparse maximum entropy deep belief nets. - How Jing; Yu Tsao 001 (IJCNN, 2013)

Ensemble of machine learning and acoustic segment model techniques for speech emotion and autism spectrum disorders recognition. - Hung-yi Lee; Ting-Yao Hu; How Jing; Yun-Fan Chang; Yu Tsao 001; Yu-Cheng Kao; Tsang-Long Pao (INTERSPEECH, 2013)

Neural Conditional Energy Models for Multi-label Classification. - How Jing; Shou-De Lin (ICDM, 2014)

A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering. - How Jing; An-Chun Liang; Shou-De Lin; Yu Tsao 001 (ICDM, 2014)

Ensemble of machine learning algorithms for cognitive and physical speaker load detection. - How Jing; Ting-Yao Hu; Hung-Shin Lee; Wei-Chen Chen; Chi-Chun Lee; Yu Tsao 001; Hsin-Min Wang (INTERSPEECH, 2014)

Neural Survival Recommender. - How Jing; Alexander J. Smola (WSDM, 2017)

Recurrent Recommender Networks. - Chao-Yuan Wu; Amr Ahmed 001; Alex Beutel; Alexander J. Smola; How Jing (WSDM, 2017)

NEMO: Next Career Move Prediction with Contextual Embedding. - Liangyue Li; How Jing; Hanghang Tong; Jaewon Yang; Qi He 002; Bee-Chung Chen (WWW (Companion Volume), 2017)

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. - Baoxu Shi; Jaewon Yang; Tim Weninger; How Jing; Qi He 002 (IEEE BigData, 2019)

Contextual Skill Proficiency via Multi-task Learning at LinkedIn. - Xiao Yan; Ada Ma; Jaewon Yang; Lin Zhu; How Jing; Jacob Bollinger; Qi He 002 (CIKM, 2021)