Yichen Wang

Affiliations:
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2018)


According to our database1, Yichen Wang authored at least 22 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

2018
Modeling, predicting, and guiding users' temporal behaviors.
PhD thesis, 2018

Learning to Optimize via Wasserstein Deep Inverse Optimal Control.
CoRR, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.
J. Mach. Learn. Res., 2017

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions.
CoRR, 2017

Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs.
CoRR, 2017

Predicting User Activity Level In Point Processes With Mass Transport Equation.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Steering Opinion Dynamics in Information Diffusion Networks.
CoRR, 2016

Fast and Simple Optimization for Poisson Likelihood Models.
CoRR, 2016

Recurrent Coevolutionary Feature Embedding Processes for Recommendation.
CoRR, 2016

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Isotonic Hawkes Processes.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Co-evolutionary Dynamics of Information Diffusion and Network Structure.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Time-Sensitive Recommendation From Recurrent User Activities.
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.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Detecting Emotions in Social Media: A Constrained Optimization Approach.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015


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