Conference Papers

1.Bayesian Renewables Scenario Generation via Deep Generative Networks

Yize Chen, Pan Li and Baosen Zhang, accepted to Conference on Information Sciences and Systems (CISS)  2018 [PDF]

2.An Unsupervised Deep Learning Approach for Scenario Forecasts

Yize Chen, Xiyu Wang and Baosen Zhang, accepted to Power Systems Computation Conference  (PSCC 2018) [PDF]

3. Towards Trusted Social Networks with Blockchain Technology

Yize Chen, Quanlai Li and Hao Wang, accepted to Symposium on Foundations and Applications of Blockchain 2018 [PDF]

4.Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks

Yize Chen, Yuanyuan Shi and Baosen Zhang, Accpeted to Asilomar Conference on Signals, Systems and Computers (Asilomar 2018) [PDF]

5.Blocking Transferability of Adversarial Examples in Black-Box Learning

Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang and Radha Poovendran, Submitted to IEEE Winter Conf. on Applications of Computer Vision (WACV 2018) [PDF]

Jounal Papers

1.Model-Free Renewables Scenario Generation Using Generative Adversarial

Yize Chen, Yishen Wang, Daniel Kirschen and Baosen Zhang, Accepted to IEEE Transactions on Power Systems [PDF] [Code] [Poster]

2.Revealing complex ecological dynamics via symbolic regression

Yize Chen, Marco Tulio Angulo and Yang-Yu Liu, Submitted to Nature Communications [PDF]


1.Modeling and Optimization of Complex Building Energy Systems with Recurrent Neural Networks, invited talk, INFORMS Annual Meeting, October 2017, Houston, TX [Slides]