Xiaobing Feng
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Naval Medical University, Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciencesas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-2909-7750
- OpenAlex ID
- A5053070701, A5109715374, A5122007342as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 37
Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity,
A Dynamic Linearization Modeling of Thermally Induced Error Based on Data-Driven Control for CNC Machine Tools,
A Fully Discrete Mixed Finite Element Method for the Stochastic Cahn–Hilliard Equation with Gradient-Type Multiplicative Noise,
Analysis of Fully Discrete Mixed Finite Element Methods for Time-dependent Stochastic Stokes Equations with Multiplicative Noise,
An integrated error compensation method based on on-machine measurement for thin web parts machining,
A novel collaborative agent reinforcement learning framework based on an attention mechanism and disjunctive graph embedding for flexible job shop scheduling problem,
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems,
Any-degrees-of-freedom (anyDOF) registration for the characterization of freeform surfaces
+29 more
← Authored by 37
Acorns: A Framework for Accelerating Deep Neural Networks with Input Sparsity,
A Dynamic Linearization Modeling of Thermally Induced Error Based on Data-Driven Control for CNC Machine Tools,
A Fully Discrete Mixed Finite Element Method for the Stochastic Cahn–Hilliard Equation with Gradient-Type Multiplicative Noise,
Analysis of Fully Discrete Mixed Finite Element Methods for Time-dependent Stochastic Stokes Equations with Multiplicative Noise,
An integrated error compensation method based on on-machine measurement for thin web parts machining,
A novel collaborative agent reinforcement learning framework based on an attention mechanism and disjunctive graph embedding for flexible job shop scheduling problem,
A novel Soft Actor–Critic framework with disjunctive graph embedding and autoencoder mechanism for Job Shop Scheduling Problems,
Any-degrees-of-freedom (anyDOF) registration for the characterization of freeform surfaces
+29 more
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Summary
Xiaobing Feng is a human[1].