Feng Liu
Electrical and Electronic Engineering · Nature Photonics · 2005–2022
A researcher in the Science corpus: 50 papers; trusts 1,499 researchers and is trusted by 73 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 972 citations into it; #16,207 of 16,539 by trust here, #1,386 by citations
- Polymers and Plastics — 747 citations into it; #2,581 of 2,623 by trust here, #336 by citations
- Computer Vision and Pattern Recognition — 281 citations into it; #3,375 of 21,575 by trust here, #5,333 by citations
- Artificial Intelligence — 116 citations into it
- Biomedical Engineering — 70 citations into it
- Generative Models — 46 citations into it
- Media Technology — 41 citations into it; #1,059 of 3,621 by trust here, #1,365 by citations
- Representation & Self-Supervised Learning — 27 citations into it
Whom Feng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Ross B. Girshick
- Ilya Sutskever
- Andrew Zisserman
Who trusts Feng Liu overall
- Simon Niklaus
- Johannes Peter Kopf
- Matthias Grundmann
- Wenbo Bao
- Mohamed A. Elgharib
- Zhewei Huang
- Fan Zhang
- Myungsub Choi
- Wei-Sheng Lai
- Michael F. Cohen
Papers from Feng Liu's perspective
Ordered by how strongly the researchers Feng Liu 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Video Frame Interpolation via Adaptive Separable Convolution (2017) — 783 citations
- Video Frame Interpolation via Adaptive Convolution (2017) — 554 citations
- Context-Aware Synthesis for Video Frame Interpolation (2018) — 440 citations
- Subspace video stabilization (2011) — 346 citations
- Content-preserving warps for 3D video stabilization (2009) — 605 citations
- Interactive Boundary Prediction for Object Selection (2018) — 38 citations
- Softmax Splatting for Video Frame Interpolation (2020) — 473 citations
- Learning Deep Kernels for Non-Parametric Two-Sample Tests (2020) — 225 citations
- A generic green solvent concept boosting the power conversion efficiency of all-polymer solar cells to 11% (2019) — 192 citations
- Efficient Organic Solar Cell with 16.88% Efficiency Enabled by Refined Acceptor Crystallization and Morphology with Improved Charge Transfer and Transport Properties (2020) — 412 citations
- Mesoporous PbI2 Scaffold for High‐Performance Planar Heterojunction Perovskite Solar Cells (2016) — 141 citations
- Single-junction polymer solar cells with high efficiency and photovoltage (2015) — 1,588 citations
- A high mobility conjugated polymer based on dithienothiophene and diketopyrrolopyrrole for organic photovoltaics (2012) — 175 citations
- Single-junction organic solar cells with over 19% efficiency enabled by a refined double-fibril network morphology (2022) — 1,628 citations
- Is Out-of-Distribution Detection Learnable? (2022) — 181 citations
- Learning Bounds for Open-Set Learning (2021) — 68 citations
- High-efficiency organic solar cells with low voltage loss induced by solvent additive strategy (2021) — 158 citations
- Solution-processed green and blue quantum-dot light-emitting diodes with eliminated charge leakage (2021) — 429 citations
- Non-fullerene acceptors with branched side chains and improved molecular packing to exceed 18% efficiency in organic solar cells (2021) — 1,460 citations
- Efficient Organic Solar Cells from Molecular Orientation Control of M-Series Acceptors (2020) — 178 citations