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High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models


Apr 13, 2021
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Krishna Dhulipala, KR Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Pallab Bhattacharya, Guoqiang Jerry Chen, Manoj Krishnan, Krishnakumar Nair, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao


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Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure


Apr 12, 2021
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

* arXiv admin note: substantial text overlap with arXiv:2005.04366 

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Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems


Jan 26, 2021
Jun Xu, Xiaodong Wang, Pengcheng Zhu, Xiaohu You

* 30pages, 10figures 

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Understanding Training Efficiency of Deep Learning Recommendation Models at Scale


Nov 11, 2020
Bilge Acun, Matthew Murphy, Xiaodong Wang, Jade Nie, Carole-Jean Wu, Kim Hazelwood

* To appear in IEEE International Symposium on High-Performance Computer Architecture (HPCA 2021) 

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Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition


May 09, 2020
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan


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GEVO: GPU Code Optimization using Evolutionary Computation


Apr 27, 2020
Jhe-Yu Liou, Xiaodong Wang, Stephanie Forrest, Carole-Jean Wu


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GEVO: GPU Code Optimization using EvolutionaryComputation


Apr 17, 2020
Jhe-Yu Liou, Xiaodong Wang, Stephanie Forrest, Carole-Jean Wu


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Progressive Local Filter Pruning for Image Retrieval Acceleration


Jan 24, 2020
Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang

* 7 pages, 5 figures 

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Language Model-Driven Unsupervised Neural Machine Translation


Nov 10, 2019
Wei Zhang, Youyuan Lin, Ruoran Ren, Xiaodong Wang, Zhenshuang Liang, Zhen Huang

* 11 pages, 3 figures, 7 tables 

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SubCharacter Chinese-English Neural Machine Translation with Wubi encoding


Nov 07, 2019
Wei Zhang, Feifei Lin, Xiaodong Wang, Zhenshuang Liang, Zhen Huang

* 10 pages, 3 figures, 7 tables 

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Exploiting Parallelism Opportunities with Deep Learning Frameworks


Aug 13, 2019
Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang, Kim Hazelwood, David Brooks


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Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks


Jul 27, 2019
Ming Zhu, Xiao-Yang Liu, Xiaodong Wang

* 13 pages, 13 figures 

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Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks in Smart Cities


Jul 09, 2019
Ming Zhu, Xiao-Yang Liu, Xiaodong Wang

* 12 pages, 13 figures 

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The Architectural Implications of Facebook's DNN-based Personalized Recommendation


Jun 18, 2019
Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang

* 11 pages 

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Deep Learning Recommendation Model for Personalization and Recommendation Systems


May 31, 2019
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy

* 10 pages, 6 figures 

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Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach


Dec 16, 2018
Zhao Chen, Xiaodong Wang


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


Nov 29, 2018
Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Khudia, James Law, Parth Malani, Andrey Malevich, Satish Nadathur, Juan Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy


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Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach


Sep 14, 2018
Mehmet Necip Kurt, Oyetunji Ogundijo, Chong Li, Xiaodong Wang


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Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings


Sep 14, 2018
Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang


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Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor


Feb 28, 2018
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang


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An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems


Dec 27, 2017
Ming Zhu, Xiao-Yang Liu, Xiaodong Wang

* 12 pages 

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On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion


Dec 05, 2017
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang

* Accepted to IEEE Signal Processing Letters 

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Scaled Nuclear Norm Minimization for Low-Rank Tensor Completion


Jul 25, 2017
Morteza Ashraphijuo, Xiaodong Wang


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Rank Determination for Low-Rank Data Completion


Jul 03, 2017
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

* Journal of Machine Learning Research, 18(98), pp. 1-29, Sept 2017 

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Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data


Apr 26, 2017
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal


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