Yangqing Jia

61 papers A* 19A 3B 3Journal 20Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents.
CoRR
Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-Mei Hwu, Roger A. Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi
2024 A* conf
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.
CVPR
Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Kai Li, Song Han
2024 J jnl
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.
CoRR
Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han
2021 J jnl
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.
Proc. VLDB Endow.
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
2020 A* conf
AntMan: Dynamic Scaling on GPU Clusters for Deep Learning.
OSDI
Wencong Xiao, Shiru Ren, Yong Li, Yang Zhang, Pengyang Hou, Zhi Li, Yihui Feng, Wei Lin, Yangqing Jia
2019 A* conf
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation.
CVPR
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
2019 — conf
Characterizing Deep Learning Training Workloads on Alibaba-PAI.
IISWC
Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia
2019 J jnl
Characterizing Deep Learning Training Workloads on Alibaba-PAI.
CoRR
Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia
2019 A* conf
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CVPR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2019 A* conf
Machine Learning at Facebook: Understanding Inference at the Edge.
HPCA
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
2019 — ed.
Video Analytics. Face and Facial Expression Recognition - Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers
FFER/DLPR@ICPR
Xiang Bai, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Jingdong Wang, Gui-Song Xia, Shuicheng Yan, Zhaoxiang Zhang, Kamal Nasrollahi, Gang Hua, Thomas B. Moeslund, Qiang Ji
2018 A* conf
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective.
HPCA
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
2018 J jnl
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation.
CoRR
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
2018 J jnl
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.
CoRR
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
2018 J jnl
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.
CoRR
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2017 J jnl
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.
CoRR
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
2017 J jnl
High performance ultra-low-precision convolutions on mobile devices.
CoRR
Andrew Tulloch, Yangqing Jia
2017 — conf
ML computation patterns in production systems.
TIML@ISCA
Yangqing Jia
2016 J jnl
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.
CoRR
Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu
2016 J jnl
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR
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
2015 A* conf
Going deeper with convolutions.
CVPR
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
2015 A* conf
MatchNet: Unifying feature and metric learning for patch-based matching.
CVPR
Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, Alexander C. Berg
2014 A* conf
Caffe: Convolutional Architecture for Fast Feature Embedding.
ACM Multimedia
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
2014 J jnl
Caffe: Convolutional Architecture for Fast Feature Embedding.
CoRR
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
2014 A* conf
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
ICML
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
2014 — conf
Deep Convolutional Ranking for Multilabel Image Annotation.
ICLR (Poster)
Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe
2014 J jnl
Going Deeper with Convolutions.
CoRR
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
2014 — conf
Large-Scale Object Classification Using Label Relation Graphs.
ECCV (1)
Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam
2014 — —
Learning Semantic Image Representations at a Large Scale.
Yangqing Jia
2014 — conf
One-Shot Adaptation of Supervised Deep Convolutional Models.
ICLR (Workshop Poster)
Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell
2014 J jnl
Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation.
IEEE Trans. Image Process.
Jingdong Wang, Huaizu Jiang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan
2013 — ch.
A Category-Level 3D Object Dataset: Putting the Kinect to Work.
Consumer Depth Cameras for Computer Vision
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell
2013 A* conf
Category-Independent Object-Level Saliency Detection.
ICCV
Yangqing Jia, Mei Han
2013 J jnl
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
CoRR
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
2013 A conf
Grounding spatial relations for human-robot interaction.
IROS
Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell
2013 A* conf
Latent Task Adaptation with Large-Scale Hierarchies.
ICCV
Yangqing Jia, Trevor Darrell
2013 — conf
On Compact Codes for Spatially Pooled Features.
ICML (3)
Yangqing Jia, Oriol Vinyals, Trevor Darrell
2013 J jnl
Pooling-Invariant Image Feature Learning
CoRR
Yangqing Jia, Oriol Vinyals, Trevor Darrell
2013 — conf
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.
NIPS
Yangqing Jia, Joshua T. Abbott, Joseph L. Austerweil, Thomas L. Griffiths, Trevor Darrell
2013 — conf
Why Size Matters: Feature Coding as Nystrom Sampling
ICLR (Workshop)
Oriol Vinyals, Yangqing Jia, Trevor Darrell
2012 A* conf
Beyond spatial pyramids: Receptive field learning for pooled image features.
CVPR
Yangqing Jia, Chang Huang, Trevor Darrell
2012 J jnl
Factorized Multi-Modal Topic Model
CoRR
Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell
2012 A conf
Factorized Multi-Modal Topic Model.
UAI
Seppo Virtanen, Yangqing Jia, Arto Klami, Trevor Darrell
2012 — conf
Learning with Recursive Perceptual Representations.
NIPS
Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell
2011 — conf
A category-level 3-D object dataset: Putting the Kinect to work.
ICCV Workshops
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell
2011 — conf
Heavy-tailed Distances for Gradient Based Image Descriptors.
NIPS
Yangqing Jia, Trevor Darrell
2011 A* conf
Learning cross-modality similarity for multinomial data.
ICCV
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
2011 A conf
Practical 3-D object detection using category and instance-level appearance models.
IROS
Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell
2010 — conf
Factorized Latent Spaces with Structured Sparsity.
NIPS
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
2009 J jnl
Front-view vehicle detection by Markov chain Monte Carlo method.
Pattern Recognit.
Yangqing Jia, Changshui Zhang
2009 A* conf
Semi-Supervised Classification on Evolutionary Data.
IJCAI
Yangqing Jia, Shuicheng Yan, Changshui Zhang
2009 J jnl
Semi-supervised orthogonal discriminant analysis via label propagation.
Pattern Recognit.
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang
2009 J jnl
Trace Ratio Problem Revisited.
IEEE Trans. Neural Networks
Yangqing Jia, Feiping Nie, Changshui Zhang
2008 B conf
Augmented tree partitioning for interactive image segmentation.
ICIP
Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua
2008 — conf
Distortion-Free Nonlinear Dimensionality Reduction.
ECML/PKDD (1)
Yangqing Jia, Zheng Wang, Changshui Zhang
2008 A* conf
Finding image exemplars using fast sparse affinity propagation.
ACM Multimedia
Yangqing Jia, Jingdong Wang, Changshui Zhang, Xian-Sheng Hua
2008 A* conf
Instance-level Semisupervised Multiple Instance Learning.
AAAI
Yangqing Jia, Changshui Zhang
2008 B conf
Learning distance metric for semi-supervised image segmentation.
ICIP
Yangqing Jia, Changshui Zhang
2008 B conf
Local Regularized Least-Square Dimensionality Reduction.
ICPR
Yangqing Jia, Changshui Zhang
2008 A* conf
Normalized tree partitioning for image segmentation.
CVPR
Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang, Long Quan
2008 A* conf
Trace Ratio Criterion for Feature Selection.
AAAI
Feiping Nie, Shiming Xiang, Yangqing Jia, Changshui Zhang, Shuicheng Yan