Chu, Stephen M.

11 publications

AAAI 2017 ERMMA: Expected Risk Minimization for Matrix Approximation-Based Recommender Systems Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha

AAAI 2017 GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu

AAAI 2017 Modeling the Intensity Function of Point Process via Recurrent Neural Networks Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu

AAAI 2017 On Predictive Patent Valuation: Forecasting Patent Citations and Their Types Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu

IJCAI 2016 MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang

IJCAI 2016 On Modeling and Predicting Individual Paper Citation Count over Time Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha

CVPR 2015 Discrete Hyper-Graph Matching Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu

AAAI 2015 Multi-View Point Registration via Alternating Optimization Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu

AAAI 2015 On Machine Learning Towards Predictive Sales Pipeline Analytics Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang

ICCV 2013 Joint Optimization for Consistent Multiple Graph Matching Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu

CVPR 2007 Audio-Visual Speech Fusion Using Coupled Hidden Markov Models Stephen M. Chu, Thomas S. Huang