Chenye Wu (吴辰晔)

Email: chenyewu AT

About Me

I'm an Assistant Professor at the Institute for Interdisciplinary Information Sciences, Tsinghua University. I also serve on the advisory board for Turing AI Institute of Nanjing, a new generation of R&D Institute founded by Professor Andrew Yao.

Interdisciplinary research is a particular strength of IIIS and I currently participate actively in two broad areas of "CS/AI+X" type research: 1) AI+Energy Economics, with an emphasis on studying the vulnerability of AI based pricing schemes, limitation of AI with extremely unbalanced sample sets; 2) CS+Urban Systems, i.e., understand many real world phenomenon through computational (very often stochastic) modeling, which covers a broad range, from the sharing economy for the electricity sector, to the optimal online game matchmaking mechanism design. For more information, please refer to my research section here.

I am actively recruiting students! Please check this page for information about joining IIIS as a graduate student. From time to time, I also host visiting students/interns in Beijing and Nanjing. Drop me an email for more information, if you are interested and good!

You may also find me at Linkedin Chenye's Linkedin and ResearchGate Chenye's Weibo.


Latest News

Jul. 21, 2020, our paper 'A Data-driven Storage Control Framework for Dynamic Pricing' has been accepted by IEEE Transactions on Smart Grid! Congratulations to Jiaman!

Jul. 15, 2020, our paper 'Strategic Bidding in Extended Locational Marginal Price Scheme' has been jointly accepted by IEEE Control Systems Letters and CDC 2020! Congratulations to Jian and Nan!

Jun. 19, 2020, our paper 'Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling' has been nominated as the Best Conference Paper award by IEEE PES General Meeting 2020! Congratulations to Kui and Jian!

Apr. 20, 2020, our paper 'Energy Storage as Public Assest' has been accepted by ACM e-Energy 2020! ACM e-Energy is the premier venue for researchers working in the broad areas of computing and communication for smart energy systems and in energy-efficient computing and communication systems. Congratulations to Jiasheng and Nan!