Yu Cao

Computer Vision and Pattern Recognition · Proceedings of the IEEE Custom Integrated Circuits Conference · 2000–2020

A researcher in the Science corpus: 21 papers; trusts 407 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 105 citations into it; #19,502 of 21,575 by trust here, #8,831 by citations
• Electrical and Electronic Engineering — 91 citations into it; #1,800 of 16,539 by trust here, #3,580 by citations
• Artificial Intelligence — 63 citations into it
• Efficiency & Compression — 32 citations into it
• Biomedical Engineering — 25 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Model Architectures — 11 citations into it

Whom Yu Cao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Karen Simonyan
2. David G. Lowe
3. Alex Krizhevsky
4. Kaiming He
5. Geoffrey E. Hinton
6. Ivan Laptev
7. Andrew Zisserman
8. Yann LeCun
9. Yoshua Bengio
10. Ross B. Girshick

Who trusts Yu Cao overall

1. Wei Zhao
2. Yu Kong
3. Jie Deng
4. Quming Zhou
5. Wenping Wang
6. Sparsh Mittal
7. Sanjay V. Kumar
8. De-An Huang
9. Jun Liu
10. Jaydeep P. Kulkarni

Papers from Yu Cao's perspective

Ordered by how strongly the researchers Yu Cao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Annotating Objects and Relations in User-Generated Videos (2019) — 213 citations
• Recognize Human Activities from Partially Observed Videos (2013) — 202 citations
• Single-Net Continual Learning with Progressive Segmented Training (2019) — 13 citations
• Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks (2017) — 381 citations
• New Generation of Predictive Technology Model for Sub-45 nm Early Design Exploration (2006) — 856 citations
• New generation of predictive technology model for sub-45nm design exploration (2006) — 555 citations
• New paradigm of predictive MOSFET and interconnect modeling for early circuit simulation (2000) — 501 citations
• Modeling and minimization of PMOS NBTI effect for robust nanometer design (2006) — 504 citations
• Predictive Modeling of the NBTI Effect for Reliable Design (2006) — 455 citations
• Compact Modeling and Simulation of Circuit Reliability for 65-nm CMOS Technology (2007) — 374 citations
• Impact of food additives on the composition and function of gut microbiota: A review (2020) — 152 citations
• CGaP: Continuous Growth and Pruning for Efficient Deep Learning (2019) — 10 citations
• Benzylamine‐Treated Wide‐Bandgap Perovskite with High Thermal‐Photostability and Photovoltaic Performance (2017) — 194 citations
• A two-dimensional conjugated polymer framework with fully sp2-bonded carbon skeleton (2016) — 226 citations
• Selective band gap manipulation of graphene oxide by its reduction with mild reagents (2015) — 222 citations
• 1.9-kV AlGaN/GaN Lateral Schottky Barrier Diodes on Silicon (2015) — 171 citations
• Intra-tumor Heterogeneity in Localized Lung Adenocarcinomas Delineated by Multi-region Sequencing (2014) — 884 citations
• Hybrid structure of zinc oxide nanorods and three dimensional graphene foam for supercapacitor and electrochemical sensor applications (2012) — 301 citations
• The Impact of NBTI Effect on Combinational Circuit: Modeling, Simulation, and Analysis (2010) — 302 citations
• AlN/GaN Insulated-Gate HEMTs With 2.3 A/mm Output Current and 480 mS/mm Transconductance (2008) — 175 citations