Chuanxiong Guo
Computer Networks and Communications · 2004–2020
A researcher in the Science corpus: 12 papers; trusts 41 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 92 citations into it; #3,400 of 9,886 by trust here, #515 by citations
- Artificial Intelligence — 56 citations into it
- Information Systems — 56 citations into it; #4,121 of 8,771 by trust here, #672 by citations
- Computer Vision and Pattern Recognition — 45 citations into it
- ML Systems & Hardware — 38 citations into it
- Optimization & Training — 32 citations into it
- Hardware and Architecture — 27 citations into it
- Efficiency & Compression — 12 citations into it
Whom Chuanxiong Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammad Al-Fares
- Albert G. Greenberg
- Muthu Dayalan
- Alexander Loukissas
- Amin Vahdat
- Mosharaf Chowdhury
- Joseph Dean
- Luiz André Barroso
- Haitao Wu
- Jens Lischka
Who trusts Chuanxiong Guo overall
- Dzmitry Kliazovich
- Wenjie Jiang
- C. Hong
- Hitesh Ballani
- Brandon Heller
- Pascal Bouvry
- Mark James Handley
- Guohan Lu
- Yimin Jiang
- Md. Faizul Bari
Papers from Chuanxiong Guo's perspective
Ordered by how strongly the researchers Chuanxiong Guo 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A generic communication scheduler for distributed DNN training acceleration (2019) — 407 citations
- A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters (2020) — 410 citations
- Tiresias: A GPU Cluster Manager for Distributed Deep Learning (2019) — 457 citations
- Optimus: an efficient dynamic resource scheduler for deep learning clusters (2018) — 511 citations
- RDMA over Commodity Ethernet at Scale (2016) — 607 citations
- Congestion Control for Large-Scale RDMA Deployments (2015) — 903 citations
- Pingmesh: A Large-Scale System for Data Center Network Latency Measurement and Analysis (2015) — 542 citations
- SecondNet: a data center network virtualization architecture with bandwidth guarantees (2010) — 667 citations
- ICTCP: Incast Congestion Control for TCP in data center networks (2010) — 305 citations
- BCube: a high performance, server-centric network architecture for modular data centers (2009) — 1,660 citations
- Dcell: a scalable and fault-tolerant network structure for data centers (2008) — 1,271 citations
- Shield: vulnerability-driven network filters for preventing known vulnerability exploits (2004) — 343 citations