Fengqi You
Control and Systems Engineering · 2009–2020
A researcher in the Science corpus: 7 papers; trusts 40 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 31 citations into it
- Management Science and Operations Research — 30 citations into it
- Statistics and Probability — 17 citations into it
- Electrical and Electronic Engineering — 15 citations into it
- Artificial Intelligence — 14 citations into it
- Biomedical Engineering — 13 citations into it
- Industrial and Manufacturing Engineering — 13 citations into it
- Environmental Engineering — 10 citations into it; #1,269 of 5,479 by trust here, #1,629 by citations
Whom Fengqi You trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dimitris J. Bertsimas
- Marco Claudio Campi
- Giuseppe Carlo Calafiore
- Lazaros G. Papageorgiou
- Alex Graves
- Geoffrey E. Hinton
- Marco Dorigo
- Alper Atamtürk
- Aharon Ben-Tal
- Ruiwei Jiang
Who trusts Fengqi You overall
- Majid Eskandarpour
- Weihua Liu
- C. Cambero
- Mehmet Soysal
- Pierre J. Dejax
- Joe Miemczyk
- Ling Tao
- Taraneh Sowlati
- Enze Bai
- Jacqueline Bloemhof-Ruwaard
Papers from Fengqi You's perspective
Ordered by how strongly the researchers Fengqi You 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
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming (2019) — 314 citations
- Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input–output analysis (2012) — 646 citations
- Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition? (2020) — 214 citations
- Quantum computing for energy systems optimization: Challenges and opportunities (2019) — 298 citations
- How to assess the potential of emerging green technologies? Towards a prospective environmental and techno-economic assessment framework (2019) — 129 citations
- Life Cycle Optimization of Biomass-to-Liquid Supply Chains with Distributed–Centralized Processing Networks (2011) — 342 citations
- Integrated multi‐echelon supply chain design with inventories under uncertainty: MINLP models, computational strategies (2009) — 142 citations