Learning Feature Maps of the Koopman Operator: A Subspace Viewpoint. - Ying Zhao Lian; Colin N. Jones (CDC, 2019)

Recurrent Neural Network based MPC for Process Industries. - Nicolas Lanzetti; Ying Zhao Lian; Andrea Cortinovis; Luis F. Dominguez; Mehmet Mercangöz; Colin N. Jones (ECC, 2019)

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC. - Ying Zhao Lian; Stefan Wildhagen; Yuning Jiang 002; Boris Houska; Frank Allgöwer; Colin N. Jones (CDC, 2020)

A Unified Framework for Reinforcement Learning. - Jicheng Shi; Ying Zhao Lian; Colin N. Jones (CoRR, 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)

From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control. - Ying Zhao Lian; Colin N. Jones (CDC, 2021)

Robust Learning Model Predictive Control for Periodically Correlated Building Control. - Jicheng Shi; Ying Zhao Lian; Colin N. Jones (ECC, 2021)

Nonlinear Data-Enabled Prediction and Control. - Ying Zhao Lian; Colin N. Jones (L4DC, 2021)

Joint Energy Management for Distributed Energy Harvesting Systems. - Naomi Stricker; Ying Zhao Lian; Yuning Jiang 002; Colin N. Jones; Lothar Thiele (SenSys, 2021)

Koopman based data-driven predictive control. - Ying Zhao Lian; Renzi Wang; Colin N. Jones (CoRR, 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)

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 (CDC, 2022)

An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. - Ying Zhao Lian; Yuning Jiang 002; Daniel F. Opila; Colin N. Jones (CoRR, 2022)

Distributed DeeP-LCC for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles. - Jiawei Wang 001; Ying Zhao Lian; Yuning Jiang 002; Qing Xu 010; Keqiang Li; Colin N. Jones (CoRR, 2022)

Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC. - Ying Zhao Lian; Yuning Jiang 002; Colin N. Jones; Daniel F. Opila (IEEE Control. Syst. Lett., 2022)

Resource-Aware Stochastic Self-Triggered Model Predictive Control. - Ying Zhao Lian; Yuning Jiang 002; Naomi Stricker; Lothar Thiele; Colin N. Jones (IEEE Control. Syst. Lett., 2022)

Robust Resource-Aware Self-Triggered Model Predictive Control. - Ying Zhao Lian; Yuning Jiang 002; Naomi Stricker; Lothar Thiele; Colin N. Jones (IEEE Control. Syst. Lett., 2022)

Data-Driven Input Reconstruction and Experimental Validation. - Jicheng Shi; Ying Zhao Lian; Colin N. Jones (IEEE Control. Syst. Lett., 2022)

Hypergraph- Based Fast Distributed AC Power Flow Optimization. - Xinliang Dai; Yingzhao Lian; Yuning Jiang 002; Colin N. Jones; Veit Hagenmeyer (CDC, 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)

Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters. - Ying Zhao Lian; Jicheng Shi; Colin N. Jones (IEEE Control. Syst. Lett., 2023)

Fault Detection via Occupation Kernel Principal Component Analysis. - Zachary Morrison; Benjamin P. Russo; Ying Zhao Lian; Rushikesh Kamalapurkar (IEEE Control. Syst. Lett., 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)

Self-triggered Control with Energy Harvesting Sensor Nodes. - Naomi Stricker; Yingzhao Lian; Yuning Jiang 002; Colin N. Jones; Lothar Thiele (ACM Trans. Cyber Phys. Syst., 2023)

A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. - Yingzhao Lian; Yuning Jiang 002; Daniel F. Opila; Colin N. Jones (IEEE Trans. Control. Syst. Technol., 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., 2023)

Efficient Recursive Data-enabled Predictive Control. - Jicheng Shi; Yingzhao Lian; Colin N. Jones (ECC, 2024)

RTLRewriter: Methodologies for Large Models aided RTL Code Optimization. - Xufeng Yao; Yiwen Wang; Xing Li; Yingzhao Lian; Ran Chen 001; Lei Chen 031; Mingxuan Yuan; Hong Xu 001; Bei Yu 001 (ICCAD, 2024)

SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning. - Yu Zhang 189; Hui-Ling Zhen; Zehua Pei; Yingzhao Lian; Lihao Yin; Mingxuan Yuan; Bei Yu 001 (CoRR, 2024)

SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation. - Xinyi Zhou 010; Xing Li; Yingzhao Lian; Yiwen Wang; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (CoRR, 2024)

Circuit Synthesis based on Hierarchical Conditional Diffusion. - Xinyi Zhou 010; Xing Li; Yingzhao Lian; Yiwen Wang; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (ACM Great Lakes Symposium on VLSI, 2025)

Robustly Learning Regions of Attraction From Fixed Data. - Matteo Tacchi 001; Yingzhao Lian; Colin N. Jones (IEEE Trans. Autom. Control., 2025)