Zhiting Hu
Zhiting Hu
PhD Candidate of Machine Learning Department, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Toward controlled generation of text
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
ICML: Proceedings of the 34th International Conference on Machine Learning, 2017, 2017
510*2017
LCARS: a location-content-aware recommender system
H Yin, Y Sun, B Cui, Z Hu, L Chen
KDD: Proceedings of the 19th ACM SIGKDD international conference on …, 2013
3392013
Harnessing deep neural networks with logic rules
Z Hu, X Ma, Z Liu, E Hovy, E Xing
ACL: Annual meeting of the Association for Computational Linguistics, 2016, 2016
3082016
Deep kernel learning
AG Wilson, Z Hu, R Salakhutdinov, EP Xing
AISTATS: Artificial Intelligence and Statistics, 370-378, 2016
2822016
Improved variational autoencoders for text modeling using dilated convolutions
Z Yang, Z Hu, R Salakhutdinov, T Berg-Kirkpatrick
ICML: Proceedings of the 34th International Conference on Machine Learning …, 2017
1932017
Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters
H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ...
2017 {USENIX} Annual Technical Conference ({USENIX}{ATC} 17), 181-193, 2017
159*2017
A temporal context-aware model for user behavior modeling in social media systems
H Yin, B Cui, L Chen, Z Hu, Z Huang
SIGMOD: Proceedings of the 2014 ACM SIGMOD international conference on …, 2014
1362014
LCARS: A spatial item recommender system
H Yin, B Cui, Y Sun, Z Hu, L Chen
ACM Transactions on Information Systems (TOIS) 32 (3), 1-37, 2014
1302014
Dynamic user modeling in social media systems
H Yin, B Cui, L Chen, Z Hu, X Zhou
ACM Transactions on Information Systems (TOIS) 33 (3), 1-44, 2015
1272015
Recurrent topic-transition gan for visual paragraph generation
X Liang, Z Hu, H Zhang, C Gan, EP Xing
ICCV: Proceedings of the IEEE International Conference on Computer Vision …, 2017
1202017
Modeling location-based user rating profiles for personalized recommendation
H Yin, B Cui, L Chen, Z Hu, C Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 1-41, 2015
1162015
Discovering interpretable geo-social communities for user behavior prediction
H Yin, Z Hu, X Zhou, H Wang, K Zheng, QVH Nguyen, S Sadiq
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 942-953, 2016
1132016
Unsupervised text style transfer using language models as discriminators
Z Yang, Z Hu, C Dyer, EP Xing, T Berg-Kirkpatrick
Advances in Neural Information Processing Systems, 7287-7298, 2018
1022018
Stochastic variational deep kernel learning
AG Wilson, Z Hu, RR Salakhutdinov, EP Xing
Advances in Neural Information Processing Systems, 2586-2594, 2016
962016
On unifying deep generative models
Z Hu, Z Yang, R Salakhutdinov, EP Xing
The Sixth International Conference on Learning Representations, 2018, 2017
792017
Learning scalable deep kernels with recurrent structure
M Al-Shedivat, AG Wilson, Y Saatchi, Z Hu, EP Xing
The Journal of Machine Learning Research 18 (1), 2850-2886, 2017
672017
Entity hierarchy embedding
Z Hu, P Huang, Y Deng, Y Gao, E Xing
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
562015
Neural memory streaming recommender networks with adversarial training
Q Wang, H Yin, Z Hu, D Lian, H Wang, Z Huang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
532018
Nonparametric variational auto-encoders for hierarchical representation learning
P Goyal, Z Hu, X Liang, C Wang, EP Xing
Proceedings of the IEEE International Conference on Computer Vision, 5094-5102, 2017
522017
Community level diffusion extraction
Z Hu, J Yao, B Cui, E Xing
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
522015
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Articles 1–20