Wei Peng
Computer Vision and Pattern Recognition · Knowledge Discovery and Data Mining · 2000–2023
A researcher in the Science corpus: 13 papers; trusts 378 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 84 citations into it; #5,762 of 21,575 by trust here, #6,485 by citations
- Artificial Intelligence — 75 citations into it; #27,999 of 35,345 by trust here, #20,377 by citations
- Mechanical Engineering — 67 citations into it
- Biomedical Engineering — 37 citations into it
- Electrical and Electronic Engineering — 31 citations into it
- Statistical and Nonlinear Physics — 26 citations into it
- Model Architectures — 23 citations into it
- Computer Networks and Communications — 18 citations into it; #2,651 of 9,886 by trust here, #4,950 by citations
Whom Wei Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Kaiming He
- Geoffrey E. Hinton
- Barret Zoph
- Diederik P. Kingma
- Alex Krizhevsky
- Quoc V. Le
- Yoshua Bengio
- Yann LeCun
- Andrew Zisserman
Who trusts Wei Peng overall
- Ivan Stojmenovic
- Silvia Giordano
- Brad Williams
- V. Naumov
- Julien Iguchi-Cartigny
- Geoffrey P. Ellis
- Enrico Bertini
- Zitong Yu
- Zehua Sun
- Lan Wei
Papers from Wei Peng's perspective
Ordered by how strongly the researchers Wei Peng 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Orthogonal nonnegative matrix t-factorizations for clustering (2006) — 1,374 citations
- Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading (2018) — 259 citations
- Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement (2019) — 332 citations
- Auxetic mechanical metamaterials: from soft to stiff (2023) — 151 citations
- High‐Throughput One‐Photon Excitation Pathway in 0D/3D Heterojunctions for Visible‐Light Driven Hydrogen Evolution (2021) — 144 citations
- Self-adaptive loss balanced Physics-informed neural networks (2021) — 483 citations
- Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching (2019) — 367 citations
- A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework (2019) — 40 citations
- Video Action Recognition Via Neural Architecture Searching (2019) — 39 citations
- Survey on SDN based network intrusion detection system using machine learning approaches (2018) — 460 citations
- On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing (2008) — 311 citations
- Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering (2004) — 356 citations
- On the reduction of broadcast redundancy in mobile ad hoc networks (2000) — 726 citations