Yichen Wang
Yichen Wang
Quantitative Researcher, Citadel LLC
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
M Farajtabar, Y Wang, MG Rodriguez, S Li, H Zha, L Song
NIPS' 15 Proceedings of the 29th Annual Conference on Neural Information …, 2015
1572015
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics
Y Wang, R Chen, J Ghosh, J Denny, A Kho, Y Chen, B Malin, J Sun
KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on …, 2015
1302015
Time Sensitive Recommendation From Recurrent User Activities
N Du, Y Wang, N He, L Song
NIPS' 15 Proceedings of the 29th Annual Conference on Neural Information …, 2015
912015
Know-evolve: Deep temporal reasoning for dynamic knowledge graphs
R Trivedi, H Dai, Y Wang, L Song
ICML'17 International Conference on Machine Learning, 3462-3471, 2017
892017
Detecting Emotions in Social Media: A Constrained Optimization Approach
Y Wang, A Pal
IJCAI'15 Proceedings of the 24th International Joint Conferences on …, 2015
692015
Recurrent coevolutionary latent feature processes for continuous-time recommendation
H Dai, Y Wang, R Trivedi, L Song
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 29-34, 2016
53*2016
Isotonic Hawkes Processes
Y Wang, B Xie, N Du, L Song
ICML'16 Proceedings of the 33rd International Conference on Machine Learning, 2016
412016
Coevolutionary latent feature processes for continuous-time user-item interactions
Y Wang, N Du, R Trivedi, L Song
NIPS'16 Advances in Neural Information Processing Systems, 4547-4555, 2016
342016
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop
Y Wang, E Theodorou, A Verma, L Song
AISTAT'18 Artificial Intelligence and Statistics, 2018
26*2018
Variational Policy for Guiding Point Processes
Y Wang, G Williams, E Theodorou, L Song
ICML'17 Proceedings of the 34th International Conference on Machine Learning, 2017
192017
Linking Micro Event History to Macro Prediction in Point Process Models
Y Wang, X Ye, H Zhou, H Zha, L Song
AISTAT'17 Artificial Intelligence and Statistics, 1375-1384, 2017
182017
Hierarchical temporal convolutional networks for dynamic recommender systems
J You, Y Wang, A Pal, P Eksombatchai, C Rosenburg, J Leskovec
The world wide web conference, 2236-2246, 2019
172019
Fast and Simple Optimization for Poisson Likelihood Models
N He, Z Harchaoui, Y Wang, L Song
arXiv:1608.01264, 2016
102016
Predicting user activity level in point processes with mass transport equation
Y Wang, X Ye, H Zha, L Song
NIPS'17 Advances in Neural Information Processing Systems, 1644-1654, 2017
82017
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
Y Wang, L Song, H Zha
arXiv preprint arXiv:1805.08395, 2018
12018
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