Keyou You
Professor
Works on networked control systems, distributed optimization and learning, and reinforcement learning.
Keyou You's lab at Tsinghua works on reinforcement learning, learning theory & optimization and distributed, cloud & edge systems. 43 papers since 2023, 8 at top venues, mostly TAC and ACC. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 19%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 17 papers2025 · T1 4
- 9 papers2024 · T1 0
- 11 papers2023 · T1 4
T1 venuesOtherVenues: TAC, ACC, CDC, Expert Systems with Applications
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems13 papers
- Learning theory & optimization12 papers
- Reinforcement learning6 papers
- distributed optimization1 paper
- networked control0 papers
Paper list
From DBLP.
20266 papers
- IEEE Trans. Cybern.Data-Driven Internal Model Control for Output Regulation (opens in a new tab)
- IEEE Trans. Ind. Electron.Deep Random Forests With Adaptive Piecewise Linearization for Approximating Dynamic Nonlinear Systems and Industrial Applications (opens in a new tab)
- IEEE Trans. Emerg. Top. Comput. Intell.Deep Reinforcement Learning for Traveling Purchaser Problems (opens in a new tab)
- IEEE Trans Autom. Sci. Eng.Hybrid C-LSTM Neural Architecture for Real-Time Adaptive Control of Fixed-Wing AAVs in Variable Turbulence Conditions (opens in a new tab)
- IEEE Trans. Control. Syst. Technol.Neural-Lifting-Based Model Predictive Control of a Piezo-Actuated Fast Steering Mirror for High-Precision Scanning (opens in a new tab)
- IEEE Trans. Cybern.Nonconvex Distributed Composite Optimization With Coupled Inequality Constraints (opens in a new tab)
202517 papers
- TAC (T1)Asynchronous Parallel Policy Gradient Methods for the Linear Quadratic Regulator (opens in a new tab)
- TAC (T1)Convergence and Sample Complexity of Policy Gradient Methods for Stabilizing Linear Systems (opens in a new tab)
- Autom.Data-driven output prediction and control of stochastic systems: An innovation-based approach (opens in a new tab)
- TAC (T1)Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR (opens in a new tab)
- ECCDirect Adaptive Control of Grid-Connected Power Converters via Output-Feedback Data-Enabled Policy Optimization (opens in a new tab)
- IEEE Trans. Circuits Syst. II Express BriefsDistributed Closed-Loop Reference Adaptive Learning Control for Parallel Mutual Inductance Circuits (opens in a new tab)
- Unmanned Syst.Hierarchical MPC for Velocity Tracking in Four in-Wheel Motor Actuated Vehicles (opens in a new tab)
- IEEE Trans Autom. Sci. Eng.Informative Trajectory Planning for Air-Ground Cooperative Monitoring of Spatiotemporal Fields (opens in a new tab)
- ACCLinear Convergence of Data-Enabled Policy Optimization for Linear Quadratic Tracking (opens in a new tab)
- IEEE Trans. Instrum. Meas.Nonlinearity Cancellation-Based Linear Quadratic Tracking Control for a Piezo-Actuated Fast Steering Mirror in High-Speed Scanning Tasks (opens in a new tab)
- TAC (T1)Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global Convergence (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Pontryagin's Minimum Principle-Guided RL for Minimum-Time Exploration of Spatiotemporal Fields (opens in a new tab)
20249 papers
- ACCAsynchronous Block Parallel Policy Optimization for the Linear Quadratic Regulator (opens in a new tab)
- J. Syst. Sci. Complex.Data-Driven Control of Linear Systems via Quantized Feedback (opens in a new tab)
- Autom.Distributed adaptive greedy quasi-Newton methods with explicit non-asymptotic convergence bounds (opens in a new tab)
- ICARCVDistributed Frank-Wolfe Algorithm for Constrained Bilevel Optimization (opens in a new tab)
- CDCHarnessing Data for Accelerating Model Predictive Control by Constraint Removal (opens in a new tab)
- ACCHybrid Model Predictive Control for Virtual Coupling of Heavy-haul Trains (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Informative Trajectory Planning Using Reinforcement Learning for Minimum-Time Exploration of Spatiotemporal Fields (opens in a new tab)
- Autom.Optimal (0,1)-matrix completion with majorization ordered objectives (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Synthesis of Safety and Ride Comfort Control for Chassis of Maglev Trains (opens in a new tab)
202311 papers
- TAC (T1)A Distributed Implementation of Steady-State Kalman Filter (opens in a new tab)
- CDCAdaptive Safe Backstepping for Collaborative Levitation Control of Maglev Trains with Unknown Mass (opens in a new tab)
- Syst. Control. Lett.Coordinate-free control for the isoline tracking of an unknown scalar field (opens in a new tab)
- CDCData-Enabled Policy Optimization for the Linear Quadratic Regulator (opens in a new tab)
- Signal Process.Fast trajectory planning for Dubins vehicles under cumulative probability of radar detection (opens in a new tab)
- TAC (T1)Global Convergence of Policy Gradient Primal-Dual Methods for Risk-Constrained LQRs (opens in a new tab)
- TAC (T1)Innovation Compression for Communication-Efficient Distributed Optimization With Linear Convergence (opens in a new tab)
- Autom.Minimax Q-learning control for linear systems using the Wasserstein metric (opens in a new tab)
- Autom.Minimum input design for direct data-driven property identification of unknown linear systems (opens in a new tab)
- TAC (T1)Quantized Distributed Gradient Tracking Algorithm With Linear Convergence in Directed Networks (opens in a new tab)
- IEEE Trans. Control. Syst. Technol.Standoff Tracking Using DNN-Based MPC With Implementation on FPGA (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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