DESIRES Lab @ Peking University

The study of saddle-point problems from a dynamical system perspective and how stability analysis systematically inspires algorithm design

The fundamental limit of how fast an electricity market can be operated without jeopardizing system reliability

We are hiring! Postdoc openings on optimization and learning are available! See some of the details here.

DESIRES Lab is constantly looking for motivated graduate students and postdocs to work on power systems, electricity markets, electric vehicles, online platforms, reinforcement learning, etc. We welcome candidates from diverse backgrounds to apply, including but not limited to power & energy, economics, optimization, control, operations research, algorithms, applied mathematics, statistics, and learning. Feel free to email for more details, preferably with CV, if interested.

We have the university fellowships available for postdocs that provide more benefits. Candidates are encouraged to apply. Check here.

[2024.11] Prof. Wei Qi from Tsinghua IE visited us and gave a talk on Retail on Autonomous Wheels: Spatial Queueing and Online Facility Location.

[2024.09] Yixuan and Yixuan (two Ph.D. students with the same English first name) joined DESIRES Lab.

[2024.09] Yingzhu received Student Travel Grant and Workshop Support from CDC 2024!

[2024.07] Our paper “Accelerated Saddle Flow Dynamics for Bilinearly Coupled Minimax Problems” was accepted to IEEE CDC 2024.

[2024.07] Prof. Bin Liu from University of Strathclyde gave a talk on Data-Driven Maintenance Optimization in our COOL Research Seminar.

[2024.06] Lihuan Zhang from 01.AI gave a talk on LLM Training Acceleration Techniques & Challenges to share latest LLM advances in industry.

[2024.05] Our paper “Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization” was accepted to IEEE Control Systems Letters (L-CSS).

[2024.05] Prof. Florian Dorfler from ETH Zurich gave a talk on Data-Enabled Predictive Control (DeePC) in our COOL Research Seminar.

[2024.05] Our extended abstract “Reserve or Not? Ordering Emergency Supplies from an Opportunistic Supplier Facing Yield and Demand Uncertainties” was accepted to INFORMS MSOM Conference.

[2024.05] Our paper “Online Electricity Purchase for Data Center with Dynamic Virtual Battery from Flexibility Aggregation” was accepted to Youth Academic Annual Conference of Chinese Association of Automation (YAC).

[2024.04] Christopher Yeh from Caltech gave a talk on Learning for Robust Decision Making in Energy Systems in our COOL Research Seminar.

[2024.04] Chengrui received the prestigious Summer Undergraduate Research Fellowship (SURF) from Caltech to fund his 10-week stay in Southern California!

[2024.03] Prof. Dawei Shi was invited to give a talk on Data-Enabled Event-Triggered Learning and Control.

[2024.01] We were awarded two grants to study trustworthy AI for power systems and architecture redesign for electricity markets, respectively.

[2024.01] We organized an invited session on Towards Next-Gen Power and Energy Systems in Conference on Fully Actuated System Theory and Applications (Shenzhen, China, May 10 – 12), featuring a dozen of exciting talks from academia and industry. Join us!

[2023.12] Dr. Lucien Werner from Caltech presented his work on Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets in our COOL Research Seminar.

[2023.11] Prof. Yue Chen from CUHK was our latest COOL Research Seminar speaker and gave a talk on Unlocking Demand-Side Flexibility for Low-Carbon Energy Systems.

[2023.10] Our paper “Optimal IC Task Mapping to Maximize QoS on Heterogeneous Multicore Systems” was accepted to IEEE Transactions on Circuits and Systems II: Express Briefs!

[2023.10] We invited Prof. Yuanyuan Shi from UCSD to talk about Performance-Guaranteed Learning and Control for Sustainable Energy Systems at our COOL Research Seminar.

[2023.10] Kekun (master student) was awarded the Dean's First-Class Scholarship!

[2023.10] We held a joint symposium between PKU and CUHK-Shenzhen that features ten talks from students!

[2023.10] Our paper “Multi-Agent Cooperative Motion Planning based on Alternating Direction Method of Multipliers” was accepted to IEEE Control Systems Letters!

[2023.09] Chengrui (junior) was awarded Youth Student Basic Research Grant from NSFC to study learning-augmented operations management for electric vehicle charging!

[2023.09] Hengxing (Ph.D. student), Shufan (master student), Hanjiang (master student) joined DESIRES Lab.

[2023.09] Our paper “Market Power Mitigation in Two-stage Electricity Market with Supply Function and Quantity Bidding” was accepted to IEEE Transactions on Energy Markets, Policy and Regulation!

[2023.08] The COOL Research Seminar featured Prof. Angie Liu from JHU who shared Trustworthy Machine Learning in the Real World: Distributional Robust Extrapolation.

[2023.07] We invited Dr. Xiaohe Luo from Princeton to give a talk on Optimizing Solar Supply Chain: A Stochastic Optimization Approach.

[2023.06] The COOL Research Seminar featured Prof. Weiguo Xia from Dalian Institute of Technology who shared Spectral Properties of Grounded Laplacian and Signed Laplacian Matrices.

[2023.06] The COOL Research Seminar featured Prof. Yulong Gao from Oxford who shared Uncertainty Propagation and Quantification for Safe Control of Linear Systems.

[2023.06] We were awarded a grant from Ali Cloud and Damo Academy to study electricity trading and carbon emission reduction for data centers.

[2023.06] We invited Dr. Zhikun Zhang from Stanford & CISPA to give a talk on Privacy Preservation in Data Life Cycle.

[2023.06] We invited Dr. Jianqi Chen from HKUST to give a talk on Mean-Square Stability Radii for Stochastic Robustness Analysis in the COOL Research Seminar.

[2023.05] The latest COOL Research Seminar featured Prof. Jinlong Lei from Tongji University who discussed Nash Equilibrium Problems with Parametric Uncertainty.

[2023.04] Prof. Gang Wang from Beijing Institute of Technology gave a talk on Data-Driven Control in Network Systems in the COOL Research Seminar.

[2023.04] Prof. Xiuxian Li from Tongji University gave a talk on Distributed Online Optimization and Game in the COOL Research Seminar.

[2023.04] Prof. Jorge Goncalves from University of Luxembourg and University of Cambridge visited us and delivered a talk on Network Inference: From Theory to Application in Biology.

[2023.03] We invited Prof. Warren B. Powell from Princeton to talk about From Reinforcement Learning to Sequential Decision Analytics: Toward a Universal Framework for Sequential Decision Problems in the latest PKU Engineering Science Seminar.

[2023.03] The COOL Research Seminar featured Prof. Chenye Wu from CUHKSZ who shared Data-Driven Operation and Optimization of Modern Power Systems.

[2023.03] Pengcheng was admitted to the Startrack Scholar Program by Microsoft Research Asia.

[2023.02] Prof. Junfeng Wu from CUHKSZ School of Data Science shared his COOL Research on State Estimation in Robotics.

[2023.01] Ms. Ting Zhang joined DESIRES Lab as Laboratory Research Assistant.

[2023.01] Dr. Dan Wang from KTH delivered an online talk on Synchronization of Dynamic Network via Phase Analysis.

[2023.01] Prof. Feng Liu from Tsinghua EE kicked off the COOL Research Seminar in the new year! Find the talk info here.

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