Henggang Cui
Computer Vision and Pattern Recognition · 2013–2018
A researcher in the Science corpus: 7 papers; trusts 101 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 53 citations into it
- Artificial Intelligence — 50 citations into it
- Optimization & Training — 32 citations into it; #2,301 of 2,601 by trust here, #1,419 by citations
- Computer Networks and Communications — 29 citations into it
- Information Systems — 18 citations into it
- ML Systems & Hardware — 14 citations into it; #193 of 575 by trust here, #163 by citations
- Hardware and Architecture — 12 citations into it
- Natural Language Processing — 9 citations into it
Whom Henggang Cui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Diederik P. Kingma
- Qirong Ho
- Christian Szegedy
- Ilya Sutskever
- Amr Ahmed
- Andrew Y. Ng
Who trusts Henggang Cui overall
- Aaron Harlap
- Kevin Hsieh
- Sayed Hadi Hashemi
- Wei Dai
- Amar Phanishayee
- Phillip B. Gibbons
- G. R. Ganger
- H. Zhang
- Jianyu Wang
- Cong Xie
Papers from Henggang Cui's perspective
Ordered by how strongly the researchers Henggang Cui 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks (2018) — 741 citations
- GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server (2016) — 337 citations
- Addressing the straggler problem for iterative convergent parallel ML (2016) — 148 citations
- Scalable deep learning on distributed GPUs with a GPU-specialized parameter server (2015)
- Exploiting iterative-ness for parallel ML computations (2014) — 40 citations
- Exploiting Bounded Staleness to Speed Up Big Data Analytics (2014) — 171 citations
- More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server (2013) — 813 citations