Biao Huang
Control and Systems Engineering · Proceedings of the 2005, American Control Conference, 2005. · 2001–2022
A researcher in the Science corpus: 19 papers; trusts 14 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 69 citations into it; #1,556 of 8,257 by trust here, #607 by citations
- Reinforcement Learning — 26 citations into it
- Mechanical Engineering — 19 citations into it
- Analytical Chemistry — 18 citations into it
- Statistics and Probability — 14 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Optimization & Training — 12 citations into it
Whom Biao Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Qin
- Jin Wang
- Radford M. Neal
- Yoshua Bengio
- Roman Rosipal
- Ying-wei Zhang
- Geoffrey E. Hinton
- Richard S. Sutton
- Tin Kam Ho
- Naomi S. Altman
Who trusts Biao Huang overall
Papers from Biao Huang's perspective
Ordered by how strongly the researchers Biao Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- A Fast Learning Algorithm for Deep Belief Nets
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- On gramians and balanced truncation of discrete-time bilinear systems (2003) — 73 citations
- Data Mining and Analytics in the Process Industry: The Role of Machine Learning (2017) — 762 citations
- Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives (2022) — 404 citations
- A review On reinforcement learning: Introduction and applications in industrial process control (2020) — 610 citations
- Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE (2018) — 540 citations
- Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference (2016) — 313 citations
- Multiple model approach to nonlinear system identification with an uncertain scheduling variable using EM algorithm (2013) — 61 citations
- The DCT-based oscillation detection method for a single time series (2010) — 48 citations
- Robust identification of piecewise/switching autoregressive exogenous process (2009) — 64 citations
- Subspace method aided data-driven design of fault detection and isolation systems (2009) — 310 citations
- Improved identification of continuous-time delay processes from piecewise step tests (2007) — 51 citations
- Parameter and delay estimation of continuous-time models using a linear filter (2006) — 108 citations
- Stochastic stability and robust control for sampled-data systems with Markovian jump parameters (2006) — 64 citations
- A new method for stabilization of networked control systems with random delays (2005) — 890 citations
- Closed-loop subspace identification: an orthogonal projection approach (2004) — 169 citations
- Detection of multiple oscillations in control loops (2003) — 242 citations
- Robust H∞ observer design of linear time-delay systems with parametric uncertainty (2001) — 104 citations
- Stochastic reliable control of a class of uncertain time-delay systems with unknown nonlinearities (2001) — 51 citations
- Technical Communique: LMI-based robust H∞ control of uncertain linear jump systems with time-delays (2001) — 53 citations