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 | 561 | 2017 |
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 | 301 | 2015 |
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 | 211 | 2015 |
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 | 188* | 2016 |
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 | 168 | 2015 |
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 | 143 | 2019 |
Detecting Emotions in Social Media: A Constrained Optimization Approach Y Wang, A Pal IJCAI'15 Proceedings of the 24th International Joint Conferences on …, 2015 | 139 | 2015 |
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 | 68 | 2016 |
Isotonic Hawkes Processes Y Wang, B Xie, N Du, L Song ICML'16 Proceedings of the 33rd International Conference on Machine Learning, 2016 | 66 | 2016 |
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 | 36* | 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 | 30 | 2017 |
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 | 25 | 2017 |
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 | 19 | 2017 |
Fast and Simple Optimization for Poisson Likelihood Models N He, Z Harchaoui, Y Wang, L Song arXiv:1608.01264, 2016 | 18 | 2016 |
Learning to optimize via wasserstein deep inverse optimal control Y Wang, L Song, H Zha arXiv preprint arXiv:1805.08395, 2018 | 1 | 2018 |