Yangqing Jia

According to our database, Yangqing Jia authored at least 51 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.

Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han

CoRR, 2024

2021

Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.

Yingda Chen, Jiamang Wang, Yifeng Lu, Ying Han, Zhiqiang Lv, Xuebin Min, Hua Cai, Wei Zhang, Haochuan Fan, Chao Li, Tao Guan, Wei Lin, Yangqing Jia, Jingren Zhou

Proc. VLDB Endow., 2021

2020

AntMan: Dynamic Scaling on GPU Clusters for Deep Learning.

Wencong Xiao, Shiru Ren, Yong Li, Yang Zhang, Pengyang Hou, Zhi Li, Yihui Feng, Wei Lin, Yangqing Jia

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

2019

Characterizing Deep Learning Training Workloads on Alibaba-PAI.

Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Machine Learning at Facebook: Understanding Inference at the Edge.

Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

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

Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.

Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy

CoRR, 2018

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective.

Kim M. Hazelwood, Sarah Bird, David M. Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017

High performance ultra-low-precision convolutions on mobile devices.

Andrew Tulloch, Yangqing Jia

CoRR, 2017

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

Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He

CoRR, 2017

ML computation patterns in production systems.

Yangqing Jia

Proceedings of the Workshop on Trends in Machine-Learning (and impact on computer architecture), 2017

2016

Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.

Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu

CoRR, 2016

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

Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

CoRR, 2016

2015

Going deeper with convolutions.

Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, Alexander C. Berg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Learning Semantic Image Representations at a Large Scale.

Yangqing Jia

PhD thesis, 2014

Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation.

Jingdong Wang, Huaizu Jiang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan

IEEE Trans. Image Process., 2014

One-Shot Adaptation of Supervised Deep Convolutional Models.

Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

Proceedings of the 2nd International Conference on Learning Representations, 2014

Deep Convolutional Ranking for Multilabel Image Annotation.

Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe

Proceedings of the 2nd International Conference on Learning Representations, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

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

Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell

Proceedings of the 31th International Conference on Machine Learning, 2014

Large-Scale Object Classification Using Label Relation Graphs.

Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

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

Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Pooling-Invariant Image Feature Learning

Yangqing Jia, Oriol Vinyals, Trevor Darrell

CoRR, 2013

Why Size Matters: Feature Coding as Nystrom Sampling

Oriol Vinyals, Yangqing Jia, Trevor Darrell

Proceedings of the 1st International Conference on Learning Representations, 2013

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.

Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Grounding spatial relations for human-robot interaction.

Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

On Compact Codes for Spatially Pooled Features.

Yangqing Jia, Oriol Vinyals, Trevor Darrell

Proceedings of the 30th International Conference on Machine Learning, 2013

Category-Independent Object-Level Saliency Detection.

Yangqing Jia, Mei Han

Proceedings of the IEEE International Conference on Computer Vision, 2013

Latent Task Adaptation with Large-Scale Hierarchies.

Yangqing Jia, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Factorized Multi-Modal Topic Model.

Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Learning with Recursive Perceptual Representations.

Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

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

Yangqing Jia, Chang Huang, Trevor Darrell

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Heavy-tailed Distances for Gradient Based Image Descriptors.

Yangqing Jia, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Practical 3-D object detection using category and instance-level appearance models.

Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

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

Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Learning cross-modality similarity for multinomial data.

Yangqing Jia, Mathieu Salzmann, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Factorized Latent Spaces with Structured Sparsity.

Yangqing Jia, Mathieu Salzmann, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Trace Ratio Problem Revisited.

Yangqing Jia, Feiping Nie, Changshui Zhang

IEEE Trans. Neural Networks, 2009

Semi-supervised orthogonal discriminant analysis via label propagation.

Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang

Pattern Recognit., 2009

Front-view vehicle detection by Markov chain Monte Carlo method.

Yangqing Jia, Changshui Zhang

Pattern Recognit., 2009

Semi-Supervised Classification on Evolutionary Data.

Yangqing Jia, Shuicheng Yan, Changshui Zhang

Proceedings of the IJCAI 2009, 2009

2008

Distortion-Free Nonlinear Dimensionality Reduction.

Yangqing Jia, Zheng Wang, Changshui Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Finding image exemplars using fast sparse affinity propagation.

Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua

Proceedings of the 16th International Conference on Multimedia 2008, 2008

Local Regularized Least-Square Dimensionality Reduction.

Yangqing Jia, Changshui Zhang

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Learning distance metric for semi-supervised image segmentation.

Yangqing Jia, Changshui Zhang

Proceedings of the International Conference on Image Processing, 2008

Augmented tree partitioning for interactive image segmentation.

Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua

Proceedings of the International Conference on Image Processing, 2008

Normalized tree partitioning for image segmentation.

Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Trace Ratio Criterion for Feature Selection.

Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Instance-level Semisupervised Multiple Instance Learning.

Yangqing Jia, Changshui Zhang

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008