Differential Recurrent Neural Networks for Action Recognition. - Vivek Veeriah; Naifan Zhuang; Guo-Jun Qi (ICCV, 2015)

DLSTM approach to video modeling with hashing for large-scale video retrieval. - Naifan Zhuang; Jun Ye 003; Kien A. Hua (ICPR, 2016)

Relational Learning Based Happiness Intensity Analysis in a Group. - Tuoerhongjiang Yusufu; Naifan Zhuang; Kai Li 005; Kien A. Hua (ISM, 2016)

Group Activity Recognition with Differential Recurrent Convolutional Neural Networks. - Naifan Zhuang; Tuoerhongjiang Yusufu; Jun Ye 003; Kien A. Hua (FG, 2017)

Convolutional DLSTM for Crowd Scene Understanding. - Naifan Zhuang; Jun Ye 003; Kien A. Hua (ISM, 2017)

Deep Differential Recurrent Neural Networks. - Naifan Zhuang; The Duc Kieu; Guo-Jun Qi; Kien A. Hua (CoRR, 2018)

Deep Segment Hash Learning for Music Generation. - Kevin Joslyn; Naifan Zhuang; Kien A. Hua (CoRR, 2018)

Convolutional Nonlinear Differential Recurrent Neural Networks for Crowd Scene Understanding. - Naifan Zhuang; The Duc Kieu; Jun Ye 003; Kien A. Hua (Int. J. Semantic Comput., 2018)

Differential Recurrent Neural Network and its Application for Human Activity Recognition. - Naifan Zhuang; Guo-Jun Qi; The Duc Kieu; Kien A. Hua (CoRR, 2019)

Rethinking the Combined and Individual Orders of Derivative of States for Differential Recurrent Neural Networks: Deep Differential Recurrent Neural Networks. - Naifan Zhuang; Guo-Jun Qi; The Duc Kieu; Kien A. Hua (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All. - Jun Ye 003; Guo-Jun Qi; Naifan Zhuang; Hao Hu; Kien A. Hua (IEEE Trans. Pattern Anal. Mach. Intell., 2020)