Chao Shang
Associate Professor
Works on industrial large models and agents, data-driven decision-making under uncertainty, and process monitoring and fault diagnosis.
Chao Shang's lab at Tsinghua works on reinforcement learning, probabilistic & causal inference and large language models. 22 papers since 2023, 2 at top venues, mostly CDC and TAC. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 9%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 1
- 3 papers2024 · T1 0
- 8 papers2023 · T1 1
T1 venuesOtherVenues: CDC, TAC, Information Sciences
Research focuspaper titles that use each topic's words
- fault5 papers
- Reinforcement learning2 papers
- Probabilistic & causal inference2 papers
- Large language models2 papers
- data-driven decision-making0 papers
Paper list
From DBLP.
20263 papers
- ECCAn Extreme-Value-Theory Based Framework for Batch Performance Assessment of Hot Strip Mill Processes (opens in a new tab)
- IEEE Control. Syst. Lett.Data-Driven Predictive Control for Stochastic Descriptor Systems: An Innovation-Based Approach Handling Non-Causal Dependencies (opens in a new tab)
- Comput. Oper. Res.Towards an unsupervised learning scheme for efficiently solving parameterized mixed-integer programs (opens in a new tab)
20258 papers
- IEEE Trans. Instrum. Meas.A Novel Accuracy-Constrained Scheme for Efficient Trend Extraction of Industrial Time-Series Data (opens in a new tab)
- ECCAn Innovation-Based Approach to Adaptive Data-Driven Predictive Control (opens in a new tab)
- IEEE Trans. Control. Syst. Technol.Causality-Informed Data-Driven Predictive Control (opens in a new tab)
- Comput. Chem. Eng.Computer-aided molecular design by aligning generative diffusion models: Perspectives and challenges (opens in a new tab)
- Comput. Chem. Eng.Data-driven contextual robust optimization based on support vector clustering (opens in a new tab)
- Autom.Data-driven output prediction and control of stochastic systems: An innovation-based approach (opens in a new tab)
- IEEE Trans Autom. Sci. Eng.Dynamic-Inner White Component Analysis: A New Latent Variable Model for Dynamic Data Analytics and Process Monitoring (opens in a new tab)
- TAC (T1)On Globalized Robust Kalman Filter Under Model Uncertainty (opens in a new tab)
20243 papers
- CCTAData-Driven Fault Detection for Lithium-Ion Battery Packs via Behavioral System Representation (opens in a new tab)
- CDCData-Driven Output Containment Control of Heterogeneous Multiagent Systems: A Hierarchical Scheme (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Reweighted Regularized Prototypical Network for Few-Shot Fault Diagnosis (opens in a new tab)
20238 papers
- CDCAccelerated Nonconvex ADMM with Self-Adaptive Penalty for Rank-Constrained Model Identification (opens in a new tab)
- IEEE Control. Syst. Lett.Data-Driven Predictive Control Using Closed-Loop Data: An Instrumental Variable Approach (opens in a new tab)
- CDCData-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests (opens in a new tab)
- IEEE Trans. Control. Syst. Technol.Efficient Relay Autotuner of Industrial Controllers via Rank-Constrained Identification of Low-Order Time-Delay Models (opens in a new tab)
- IEEE Trans. Cybern.Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach (opens in a new tab)
- TAC (T1)From Generalized Gauss Bounds to Distributionally Robust Fault Detection With Unimodality Information (opens in a new tab)
- IEEE Trans. Instrum. Meas.Just-In-Time Learning Based Functional Spectral Data Modeling for In-Situ Measurement of Slurry Component Concentrations via Infrared Spectroscopy (opens in a new tab)
- Information SciencesSemi-global fault-tolerant cooperative output regulation of heterogeneous multi-agent systems with actuator saturation (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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