General: Deep Learning Applications

• {Ma16} Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha. Detecting Rumors from Microblogs with Recurrent Neural Networks. Proc. of IJCAI, 2016.
• {Suhara17} Yoshihiko Suhara, Yinzhan Xu, Alex 'Sandy' Pentland. DeepMood: Forecasting Depressed Mood Based on Self-Reported Histories via Recurrent Neural Networks. Proc. of WWW, 2017. forecasting severely depressed moods based on self-reported histories
• {Feng18} Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, and Depeng Jin. DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. Proc. of WWW, 2018. design a multi-modal embedding recurrent neural network to capture the complicated sequential transitions by jointly embedding the multiple factors that govern the human mobility; propose a historical attention model with two mechanisms to capture the multi-level periodicity in a principle way