Yichen Wang

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 18

Top Venues

CoRR

NIPS

ICML

AISTATS

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. CoRR (2019)
Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. WWW (2019)
Yichen Wang, Le Song, Hongyuan Zha
Learning to Optimize via Wasserstein Deep Inverse Optimal Control. CoRR (2018)
Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. AISTATS (2018)
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) (2018)
Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song
Variational Policy for Guiding Point Processes. ICML (2017)
Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song
A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions. CoRR (2017)
Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song
Predicting User Activity Level In Point Processes With Mass Transport Equation. NIPS (2017)
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. 18 (2017)
Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song
Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs. CoRR (2017)
Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. ICML (2017)
Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song
Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS (2017)
Niao He, Zaïd Harchaoui, Yichen Wang, Le Song
Fast and Simple Optimization for Poisson Likelihood Models. CoRR (2016)
Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song
Recurrent Coevolutionary Feature Embedding Processes for Recommendation. CoRR (2016)
Yichen Wang, Nan Du, Rakshit Trivedi, Le Song
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions. NIPS (2016)
Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song
Steering Opinion Dynamics in Information Diffusion Networks. CoRR (2016)
Yichen Wang, Bo Xie, Nan Du, Le Song
Isotonic Hawkes Processes. ICML (2016)
Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song
Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. DLRS@RecSys (2016)
Yichen Wang, Aditya Pal
Detecting Emotions in Social Media: A Constrained Optimization Approach. IJCAI (2015)
Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. KDD (2015)
Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song
Time-Sensitive Recommendation From Recurrent User Activities. NIPS (2015)
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS (2015)
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song
Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) (2015)
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

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Yichen Wang