Learning conditional generative models for temporal point processes
- Shuai Xiao
- Honteng Xu
- et al.
- 2018
- AAAI 2018
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26 results for Hongyuan Zha
Τ-FPL: Tolerance-constrained learning in linear time
- Ao Zhang
- Nan Li
- et al.
- 2018
- AAAI 2018
Wasserstein learning of deep generative point process models
- Shuai Xiao
- Mehrdad Farajtabar
- et al.
- 2017
- NeurIPS 2017
ERMMA: Expected risk minimization for matrix approximation-based recommender systems
- Dongsheng Li
- Chao Chen
- et al.
- 2017
- AAAI 2017
Modeling the intensity function of point process via recurrent neural networkss
- Shuai Xiao
- Junchi Yan
- et al.
- 2017
- AAAI 2017
Self-paced multi-task learning
- Changsheng Li
- Junchi Yan
- et al.
- 2017
- AAAI 2017
Unsupervised deep learning for optical flow estimation
- Zhe Ren
- Junchi Yan
- et al.
- 2017
- AAAI 2017
On predictive patent valuation: Forecasting patent citations and their types
- Xin Liu
- Junchi Yan
- et al.
- 2017
- AAAI 2017
A Self-Paced Regularization Framework for Multilabel Learning
- Changsheng Li
- Fan Wei
- et al.
- 2018
- IEEE TNNLS
Fractal dimension invariant filtering and its CNN-based implementation
- Hongteng Xu
- Junchi Yan
- et al.
- 2017
- CVPR 2017