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Computer Science

D-Index
34
Citations
99621
World Ranking
11856
National Ranking
1476

Overview

Yangqing Jia is a researcher affiliated with Alibaba Group (China) in China. Their work spans several areas within computer science, focusing particularly on resource management, algorithms, and distributed systems.

The main field of study for this scientist is Computer Science, with specific contributions in the subfields of Information Systems, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

Their research topics include Cloud Computing and Resource Management, Graph Theory and Algorithms, and Distributed and Parallel Computing Systems.

Yangqing Jia has published several papers, including the following recent works:

  • DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models (2024), published in arXiv (Cornell University)
  • Fangorn (2021), published in Proceedings of the VLDB Endowment

Frequent co-authors collaborating with Yangqing Jia include:

  • Yingda Chen
  • Jiamang Wang
  • Yifeng Lu
  • Ying Han
  • Zhiqiang Lv

Publication venues where their work frequently appears include Proceedings of the VLDB Endowment and arXiv (Cornell University).

Best Publications

  • Going deeper with convolutions

    Christian Szegedy;Wei Liu;Yangqing Jia;Pierre Sermanet

  • Caffe: Convolutional Architecture for Fast Feature Embedding

    Yangqing Jia;Evan Shelhamer;Jeff Donahue;Sergey Karayev

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi;Ashish Agarwal;Paul Barham;Eugene Brevdo

  • DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

    Jeff Donahue;Yangqing Jia;Oriol Vinyals;Judy Hoffman

  • Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

    Priya Goyal;Piotr Dollár;Ross B. Girshick;Pieter Noordhuis

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Kurt Keutzer;Xiaoliang Dai;Peizhao Zhang

  • MatchNet: Unifying feature and metric learning for patch-based matching

    Xufeng Han;Thomas Leung;Yangqing Jia;Rahul Sukthankar

  • Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective

    Kim Hazelwood;Sarah Bird;David Brooks;Soumith Chintala

  • A Category-Level 3D Object Dataset: Putting the Kinect to Work.

    Allison Janoch;Sergey Karayev;Yangqing Jia;Jonathan T. Barron

  • Large-Scale Object Classification Using Label Relation Graphs

    Jia Deng;Jia Deng;Nan Ding;Yangqing Jia;Andrea Frome

  • Machine Learning at Facebook: Understanding Inference at the Edge

    Carole-Jean Wu;David Brooks;Kevin Chen;Douglas Chen

  • Deep Convolutional Ranking for Multilabel Image Annotation

    Yunchao Gong;Yangqing Jia;Thomas Leung;Alexander Toshev

  • Trace ratio criterion for feature selection

    Feiping Nie;Shiming Xiang;Yangqing Jia;Changshui Zhang

  • A category-level 3-D object dataset: Putting the Kinect to work

    Allison Janoch;Sergey Karayev;Yangqing Jia;Jonathan T. Barron

  • Beyond spatial pyramids: Receptive field learning for pooled image features

    Yangqing Jia;Chang Huang;Trevor Darrell

  • Trace Ratio Problem Revisited

    Yangqing Jia;Feiping Nie;Changshui Zhang

  • ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation

    Xiaoliang Dai;Yangqing Jia;Peter Vajda;Matt Uyttendaele

  • Learning cross-modality similarity for multinomial data

    Yangqing Jia;Mathieu Salzmann;Trevor Darrell

  • Factorized Latent Spaces with Structured Sparsity

    Yangqing Jia;Mathieu Salzmann;Trevor Darrell

  • Category-Independent Object-Level Saliency Detection

    Yangqing Jia;Mei Han

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Xiaoliang Dai;Peizhao Zhang;Yanghan Wang

  • ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

    Xiaoliang Dai;Peizhao Zhang;Bichen Wu;Hongxu Yin

Frequent Co-Authors

Trevor Darrell
Trevor Darrell University of California, Berkeley
Changshui Zhang
Changshui Zhang Tsinghua University
Oriol Vinyals
Oriol Vinyals DeepMind (United Kingdom)
Jeff Donahue
Jeff Donahue DeepMind (United Kingdom)
Kate Saenko
Kate Saenko Boston University
Judy Hoffman
Judy Hoffman Georgia Institute of Technology
Jingdong Wang
Jingdong Wang Baidu (China)
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Mario Fritz
Mario Fritz Helmholtz Center for Information Security
Vincent Vanhoucke
Vincent Vanhoucke Google (United States)

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