Yichen Wang

According to our database, Yichen Wang authored at least 22 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.

Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec

Proceedings of the World Wide Web Conference, 2019

2018

Modeling, predicting, and guiding users' temporal behaviors.

Yichen Wang

PhD thesis, 2018

Learning to Optimize via Wasserstein Deep Inverse Optimal Control.

Yichen Wang, Le Song, Hongyuan Zha

CoRR, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop.

Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.

Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song

J. Mach. Learn. Res., 2017

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions.

Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song

CoRR, 2017

Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs.

Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song

CoRR, 2017

Predicting User Activity Level In Point Processes With Mass Transport Equation.

Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Policy for Guiding Point Processes.

Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.

Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.

Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Steering Opinion Dynamics in Information Diffusion Networks.

Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song

CoRR, 2016

Fast and Simple Optimization for Poisson Likelihood Models.

Niao He, Zaïd Harchaoui, Yichen Wang, Le Song

CoRR, 2016

Recurrent Coevolutionary Feature Embedding Processes for Recommendation.

Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song

CoRR, 2016

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.

Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions.

Yichen Wang, Nan Du, Rakshit Trivedi, Le Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Isotonic Hawkes Processes.

Yichen Wang, Bo Xie, Nan Du, Le Song

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.

Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Time-Sensitive Recommendation From Recurrent User Activities.

Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics.

Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Detecting Emotions in Social Media: A Constrained Optimization Approach.

Yichen Wang, Aditya Pal

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015