Yingzhao Lian

According to our database, Yingzhao Lian authored at least 30 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation.

Xinyi Zhou, Xing Li, Yingzhao Lian, Yiwen Wang, Lei Chen, Mingxuan Yuan, Jianye Hao, Guangyong Chen, Pheng-Ann Heng

CoRR, 2024

RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.

Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu

CoRR, 2024

SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning.

Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu

CoRR, 2024

Efficient Recursive Data-enabled Predictive Control.

Jicheng Shi, Yingzhao Lian, Colin N. Jones

Proceedings of the European Control Conference, 2024

2023

Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result.

Yingzhao Lian, Jicheng Shi, Manuel Pascal Koch, Colin Neil Jones

IEEE Trans. Control. Syst. Technol., November, 2023

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.

Yingzhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones

IEEE Trans. Control. Syst. Technol., September, 2023

Self-triggered Control with Energy Harvesting Sensor Nodes.

Naomi Stricker, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Lothar Thiele

ACM Trans. Cyber Phys. Syst., July, 2023

On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller.

Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones

IEEE Trans. Autom. Control., 2023

Fault Detection via Occupation Kernel Principal Component Analysis.

Zachary Morrison, Benjamin P. Russo, Ying Zhao Lian, Rushikesh Kamalapurkar

IEEE Control. Syst. Lett., 2023

Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters.

Ying Zhao Lian, Jicheng Shi, Colin N. Jones

IEEE Control. Syst. Lett., 2023

Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland.

Jicheng Shi, Yingzhao Lian, Christophe Salzmann, Colin N. Jones

CoRR, 2023

Hypergraph- Based Fast Distributed AC Power Flow Optimization.

Xinliang Dai, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Veit Hagenmeyer

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Data-Driven Input Reconstruction and Experimental Validation.

Jicheng Shi, Ying Zhao Lian, Colin N. Jones

IEEE Control. Syst. Lett., 2022

Robust Resource-Aware Self-Triggered Model Predictive Control.

Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones

IEEE Control. Syst. Lett., 2022

Resource-Aware Stochastic Self-Triggered Model Predictive Control.

Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones

IEEE Control. Syst. Lett., 2022

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC.

Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Daniel F. Opila

IEEE Control. Syst. Lett., 2022

Distributed DeeP-LCC for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles.

Jiawei Wang, Ying Zhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin N. Jones

CoRR, 2022

An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control.

Ying Zhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones

CoRR, 2022

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.

Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result.

Ying Zhao Lian, Jicheng Shi, Manuel Pascal Koch, Colin Neil Jones

CoRR, 2021

Koopman based data-driven predictive control.

Ying Zhao Lian, Renzi Wang, Colin N. Jones

CoRR, 2021

Joint Energy Management for Distributed Energy Harvesting Systems.

Naomi Stricker, Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Lothar Thiele

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Nonlinear Data-Enabled Prediction and Control.

Ying Zhao Lian, Colin N. Jones

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Robust Learning Model Predictive Control for Periodically Correlated Building Control.

Jicheng Shi, Ying Zhao Lian, Colin N. Jones

Proceedings of the 2021 European Control Conference, 2021

From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control.

Ying Zhao Lian, Colin N. Jones

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

On the Optimality and Convergence Properties of the Learning Model Predictive Controller.

Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones

CoRR, 2020

A Unified Framework for Reinforcement Learning.

Jicheng Shi, Ying Zhao Lian, Colin N. Jones

CoRR, 2020

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC.

Ying Zhao Lian, Stefan Wildhagen, Yuning Jiang, Boris Houska, Frank Allgöwer, Colin N. Jones

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Recurrent Neural Network based MPC for Process Industries.

Nicolas Lanzetti, Ying Zhao Lian, Andrea Cortinovis, Luis F. Dominguez, Mehmet Mercangöz, Colin N. Jones

Proceedings of the 17th European Control Conference, 2019

Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint.

Ying Zhao Lian, Colin N. Jones

Proceedings of the 58th IEEE Conference on Decision and Control, 2019