Detecting Emotions in Social Media: A Constrained Optimization Approach. - Yichen Wang 001; Aditya Pal (IJCAI, 2015)

Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. - Yichen Wang 001; Robert Chen 001; Joydeep Ghosh; Joshua C. Denny; Abel N. Kho; You Chen 001; Bradley A. Malin; Jimeng Sun 001 (KDD, 2015)

Time-Sensitive Recommendation From Recurrent User Activities. - Nan Du 002; Yichen Wang 001; Niao He; Jimeng Sun 001; Le Song (NIPS, 2015)

Co-evolutionary Dynamics of Information Diffusion and Network Structure. - Mehrdad Farajtabar; Manuel Gomez-Rodriguez; Yichen Wang 001; Shuang Li 002; Hongyuan Zha; Le Song (WWW (Companion Volume), 2015)

Isotonic Hawkes Processes. - Yichen Wang 001; Bo Xie 002; Nan Du 002; Le Song (ICML, 2016)

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions. - Yichen Wang 001; Nan Du 002; Rakshit Trivedi; Le Song (NIPS, 2016)

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. - Hanjun Dai; Yichen Wang 001; Rakshit Trivedi; Le Song (DLRS@RecSys, 2016)

Recurrent Coevolutionary Feature Embedding Processes for Recommendation. - Hanjun Dai; Yichen Wang 001; Rakshit Trivedi; Le Song (CoRR, 2016)

Fast and Simple Optimization for Poisson Likelihood Models. - Niao He; Zaïd Harchaoui; Yichen Wang 001; Le Song (CoRR, 2016)

Steering Opinion Dynamics in Information Diffusion Networks. - Yichen Wang 001; Evangelos A. Theodorou; Apurv Verma; Le Song (CoRR, 2016)

Linking Micro Event History to Macro Prediction in Point Process Models. - Yichen Wang 001; Xiaojing Ye; Haomin Zhou 001; Hongyuan Zha; Le Song (AISTATS, 2017)

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. - Rakshit Trivedi; Hanjun Dai; Yichen Wang 001; Le Song (ICML, 2017)

Variational Policy for Guiding Point Processes. - Yichen Wang 001; Grady Williams; Evangelos A. Theodorou; Le Song (ICML, 2017)

Predicting User Activity Level In Point Processes With Mass Transport Equation. - Yichen Wang 001; Xiaojing Ye; Hongyuan Zha; Le Song (NIPS, 2017)

Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs. - Rakshit Trivedi; Hanjun Dai; Yichen Wang 001; Le Song (CoRR, 2017)

A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions. - Yichen Wang 001; Grady Williams; Evangelos A. Theodorou; Le Song (CoRR, 2017)

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. - Mehrdad Farajtabar; Yichen Wang 001; Manuel Gomez-Rodriguez; Shuang Li 002; Hongyuan Zha; Le Song (J. Mach. Learn. Res., 2017)

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. - Yichen Wang 001; Evangelos A. Theodorou; Apurv Verma; Le Song (AISTATS, 2018)

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. - Mehrdad Farajtabar; Manuel Gomez-Rodriguez; Yichen Wang 001; Shuang Li 002; Hongyuan Zha; Le Song (WWW (Companion Volume), 2018)

Learning to Optimize via Wasserstein Deep Inverse Optimal Control. - Yichen Wang 001; Le Song; Hongyuan Zha (CoRR, 2018)

Modeling, predicting, and guiding users' temporal behaviors. - Yichen Wang 001 (2018)

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. - Jiaxuan You; Yichen Wang 001; Aditya Pal; Pong Eksombatchai; Chuck Rosenberg 001; Jure Leskovec (WWW, 2019)