Z. Morley Mao
Computer Networks and Communications · 2001–2020
A researcher in the Science corpus: 19 papers; trusts 83 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 76 citations into it; #5,161 of 9,886 by trust here, #774 by citations
- Artificial Intelligence — 52 citations into it
- Electrical and Electronic Engineering — 49 citations into it; #5,273 of 16,539 by trust here, #4,391 by citations
- Computer Vision and Pattern Recognition — 35 citations into it
- Signal Processing — 31 citations into it; #5,465 of 7,572 by trust here, #1,560 by citations
- Safety, Robustness & Interpretability — 23 citations into it
- Information Systems — 19 citations into it; #6,055 of 8,771 by trust here, #2,539 by citations
Whom Z. Morley Mao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig Labovitz
- Lixin Gao
- Abha Ahuja
- Ratul Mahajan
- Karen Simonyan
- Junxian Huang
- Kaiming He
- Geoffrey E. Hinton
- Jennifer Rexford
- Diederik P. Kingma
Who trusts Z. Morley Mao overall
Papers from Z. Morley Mao's perspective
Ordered by how strongly the researchers Z. Morley Mao trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (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
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving (2019) — 667 citations
- A close examination of performance and power characteristics of 4G LTE networks (2012) — 1,062 citations
- Accurate online power estimation and automatic battery behavior based power model generation for smartphones (2010) — 1,256 citations
- Anatomizing application performance differences on smartphones (2010) — 332 citations
- Panappticon: Event-based tracing to measure mobile application and platform performance (2013) — 50 citations
- Profiling resource usage for mobile applications: a cross-layer approach (2011) — 299 citations
- Characterizing radio resource allocation for 3G networks (2010) — 297 citations
- Identifying diverse usage behaviors of smartphone apps (2011) — 465 citations
- An in-depth study of LTE: effect of network protocol and application behavior on performance (2013) — 414 citations
- Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures (2020) — 314 citations
- ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms (2017) — 330 citations
- COMET: Code Offload by Migrating Execution Transparently (2012) — 435 citations
- Toward Software-Defined Cellular Networks (2012) — 360 citations
- Towards an understanding of anti-virtualization and anti-debugging behavior in modern malware (2008) — 332 citations
- Automated Classification and Analysis of Internet Malware (2007) — 620 citations
- Locating internet routing instabilities (2004) — 307 citations
- Towards an accurate AS-level traceroute tool (2003) — 390 citations
- Route flap damping exacerbates internet routing convergence (2002) — 298 citations
- The Ninja architecture for robust Internet-scale systems and services (2001) — 384 citations