Jinfeng Liu
Control and Systems Engineering · with Christofides · 2012–2020
A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 61 citations into it; #2,180 of 8,257 by trust here, #2,376 by citations
- Artificial Intelligence — 27 citations into it
- Reinforcement Learning — 26 citations into it
- Computer Networks and Communications — 11 citations into it
Whom Jinfeng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James B. Rawlings
- Panagiotis D. Christofides
- Riccardo Scattolini
- Richard S. Sutton
- Prashant Mhaskar
- Denis Dochain
- William B. Dunbar
- David Muñoz de la Peña
- Reza Olfati-Saber
- Fernando A. C. C. Fontes
Who trusts Jinfeng Liu overall
- Matthew J. Ellis
- Abhinav Narasingam
- Panagiotis D. Christofides
- James B. Rawlings
- Ye Wang
- Chongyang Liu
- David Q. Mayne
- Helen Durand
Papers from Jinfeng Liu's perspective
Ordered by how strongly the researchers Jinfeng Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Reinforcement Learning: An Introduction
- ImageNet: A large-scale hierarchical image database
Their papers
- Economic model predictive control of nonlinear process systems using Lyapunov techniques (2012) — 386 citations
- Distributed model predictive control: A tutorial review and future research directions (2013) — 861 citations
- A review On reinforcement learning: Introduction and applications in industrial process control (2020) — 610 citations
- Moving horizon state estimation for nonlinear systems with bounded uncertainties (2013) — 63 citations
- Distributed Model Predictive Control of Switched Nonlinear Systems with Scheduled Mode Transitions (2013) — 316 citations