About Jinhao

Hi, everyone. Welcome to my homepage.

I am currently an M.Phil student in Computer and Information Engineering at School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen (CUHK Shenzhen), advised by Professor Chenye Wu. Before that, I obtained a bachelor's degree from the School of Computer Science and Engineering, Xidian University (XDU).

Download my CV here.

Research

I am particularly interested in enabling a more reliable and efficient power grid from a computer science perspective, mainly through learning and optimization methodologies. Currently, my research topics include:

1) Developing robust and efficient algorithms to manage uncertainties in power system operations and electric vehicle charging;

2) Designing effective energy forecasting algorithms for both system-level and residential-level applications.

News

[2024/01] Our paper "Joint Chance-constrained Unit Commitment: Statistically Feasible Robust Optimization with Learning-to-Optimize Acceleration" has been accepted by IEEE Transactions on Power Systems.

[2023/12] I will present our work "Few-shot Residential Load Forecasting Boosted by Learning to Ensemble" at IEEE EI2 2023. Welcome to drop by our talks.

[2023/11] Our paper "Few-shot Residential Load Forecasting Boosted by Learning to Ensemble" has been accepted by IEEE EI2 2023.

[2023/09] Our paper "Manipulation-Proof Virtual Bidding Mechanism Design" has been accepted by IEEE Transactions on Energy Markets, Policy and Regulation.

[2023/07] Our paper "Robust Online EV Charging Scheduling with Statistical Feasibility" has been accepted by IEEE CDC 2023.

[2023/02] Our paper "High-resolution probabilistic load forecasting: A learning ensemble approach" has been accepted by Journal of the Franklin Institute.

Jinhao Liang

M.Phil Student in The Chinese University of Hong Kong, Shenzhen

Jinhao Liang