Conference Papers

1.Optimal Control Via Neural Networks: A Convex Approach

Yize Chen*, Yuanyuan Shi* and Baosen Zhang, Submitted [Preprint]

2.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]

3.An Unsupervised Deep Learning Approach for Scenario Forecasts

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

4. Towards Trusted Social Networks with Blockchain Technology

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

5.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 2017) [PDF]

6.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.Link Prediction through Deep Learning

Xu-wen Wang, Yize Chen, and Yang-Yu Liu, Submitted [Preprint]

2.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]

3.Revealing Complex Ecological Dynamics via Symbolic Regression

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


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