Yangqing Jia

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 17

Top Venues

CoRR

CVPR

HPCA

Proc. VLDB Endow.

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CoRR (2024)
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
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters. Proc. VLDB Endow. 14 (12) (2021)
Wencong Xiao, Shiru Ren, Yong Li, Yang Zhang, Pengyang Hou, Zhi Li, Yihui Feng, Wei Lin, Yangqing Jia
AntMan: Dynamic Scaling on GPU Clusters for Deep Learning. OSDI (2020)
Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia
Characterizing Deep Learning Training Workloads on Alibaba-PAI. CoRR (2019)
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
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. CVPR (2019)
Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia
Characterizing Deep Learning Training Workloads on Alibaba-PAI. IISWC (2019)
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
Machine Learning at Facebook: Understanding Inference at the Edge. HPCA (2019)
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CVPR (2019)
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
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR (2018)
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
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. HPCA (2018)
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CoRR (2018)
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
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR (2018)
Andrew Tulloch, Yangqing Jia
High performance ultra-low-precision convolutions on mobile devices. CoRR (2017)
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR (2017)
Yangqing Jia
ML computation patterns in production systems. TIML@ISCA (2017)
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
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR (2016)
Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation. CoRR (2016)
Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, Alexander C. Berg
MatchNet: Unifying feature and metric learning for patch-based matching. CVPR (2015)
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Going deeper with convolutions. CVPR (2015)
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Going Deeper with Convolutions. CoRR (2014)
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia (2014)
Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) (2014)
Jingdong Wang, Huaizu Jiang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan
Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation. IEEE Trans. Image Process. 23 (4) (2014)
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR (2014)
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML (2014)
Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe
Deep Convolutional Ranking for Multilabel Image Annotation. ICLR (Poster) (2014)
Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam
Large-Scale Object Classification Using Label Relation Graphs. ECCV (1) (2014)
Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies. NIPS (2013)
Oriol Vinyals, Yangqing Jia, Trevor Darrell
Why Size Matters: Feature Coding as Nystrom Sampling ICLR (Workshop) (2013)
Yangqing Jia, Oriol Vinyals, Trevor Darrell
Pooling-Invariant Image Feature Learning CoRR (2013)
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR (2013)
Yangqing Jia, Trevor Darrell
Latent Task Adaptation with Large-Scale Hierarchies. ICCV (2013)
Yangqing Jia, Oriol Vinyals, Trevor Darrell
On Compact Codes for Spatially Pooled Features. ICML (3) (2013)
Yangqing Jia, Mei Han
Category-Independent Object-Level Saliency Detection. ICCV (2013)
Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell
Grounding spatial relations for human-robot interaction. IROS (2013)
Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell
Factorized Multi-Modal Topic Model. UAI (2012)
Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell
Learning with Recursive Perceptual Representations. NIPS (2012)
Yangqing Jia, Chang Huang, Trevor Darrell
Beyond spatial pyramids: Receptive field learning for pooled image features. CVPR (2012)
Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell
Factorized Multi-Modal Topic Model CoRR (2012)
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
Learning cross-modality similarity for multinomial data. ICCV (2011)
Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell
Practical 3-D object detection using category and instance-level appearance models. IROS (2011)
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell
A category-level 3-D object dataset: Putting the Kinect to work. ICCV Workshops (2011)
Yangqing Jia, Trevor Darrell
Heavy-tailed Distances for Gradient Based Image Descriptors. NIPS (2011)
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
Factorized Latent Spaces with Structured Sparsity. NIPS (2010)
Yangqing Jia, Changshui Zhang
Front-view vehicle detection by Markov chain Monte Carlo method. Pattern Recognit. 42 (3) (2009)
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang
Semi-supervised orthogonal discriminant analysis via label propagation. Pattern Recognit. 42 (11) (2009)
Yangqing Jia, Feiping Nie, Changshui Zhang
Trace Ratio Problem Revisited. IEEE Trans. Neural Networks 20 (4) (2009)
Yangqing Jia, Shuicheng Yan, Changshui Zhang
Semi-Supervised Classification on Evolutionary Data. IJCAI (2009)
Yangqing Jia, Zheng Wang, Changshui Zhang
Distortion-Free Nonlinear Dimensionality Reduction. ECML/PKDD (1) (2008)
Yangqing Jia, Changshui Zhang
Local Regularized Least-Square Dimensionality Reduction. ICPR (2008)
Yangqing Jia, Changshui Zhang
Learning distance metric for semi-supervised image segmentation. ICIP (2008)
Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan
Normalized tree partitioning for image segmentation. CVPR (2008)
Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua
Augmented tree partitioning for interactive image segmentation. ICIP (2008)
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan
Trace Ratio Criterion for Feature Selection. AAAI (2008)
Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua
Finding image exemplars using fast sparse affinity propagation. ACM Multimedia (2008)
Yangqing Jia, Changshui Zhang
Instance-level Semisupervised Multiple Instance Learning. AAAI (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yangqing Jia