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VMAF And Variants: Towards A Unified VQA


Mar 13, 2021
Pankaj Topiwala, Wei Dai, Jiangfeng Pian


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Benchmarking Deep Learning Classifiers: Beyond Accuracy


Mar 02, 2021
Wei Dai, Daniel Berleant

* 7 pages, 6 figures 

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Where is the Model Looking At?--Concentrate and Explain the Network Attention


Sep 29, 2020
Wenjia Xu, Jiuniu Wang, Yang Wang, Guangluan Xu, Wei Dai, Yirong Wu

* IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 3, pp. 506-516, March 2020 

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Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis


Jun 30, 2020
Siyu Liu, Wei Dai, Craig Engstrom, Jurgen Fripp, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra

* 12 pages, 10 figures 

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Learning Optimal Tree Models Under Beam Search


Jun 27, 2020
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

* To appear in the 37th International Conference on Machine Learning (ICML 2020) 

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EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation


Dec 27, 2019
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madanlal Musuvathi

* Submitted to PLDI2020 

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HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud


Sep 20, 2019
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai


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Charge-Based Prison Term Prediction with Deep Gating Network


Aug 30, 2019
Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding

* EMNLP2019 

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Benchmarking Deep Learning Hardware and Frameworks: Qualitative Metrics


Jul 09, 2019
Wei Dai, Daniel Berleant

* 7 pages, 4 figures, 2 tables. The IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2019) 

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Dictionary Learning with BLOTLESS Update


Jun 24, 2019
Qi Yu, Wei Dai, Zoran Cvetkovic, Jubo Zhu


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Improving Data Quality through Deep Learning and Statistical Models


Oct 16, 2018
Wei Dai, Kenji Yoshigoe, William Parsley

* Dai, Wei, Kenji Yoshigoe, and William Parsley. "Improving Data Quality Through Deep Learning and Statistical Models." In Information Technology-New Generations, pp. 515-522. Springer, Cham, 2018 
* 8 pages, 6 figures, and 3 tables 

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Toward Understanding the Impact of Staleness in Distributed Machine Learning


Oct 08, 2018
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing

* 19 pages, 12 figures 

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Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images


Jul 29, 2018
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

* Accepted by MICCAI 2018 Workshop on Deep Learning in Medical Image Analysis 

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Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio


Jul 10, 2018
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

* Accepted by MICCAI 2018 

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Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks


Dec 11, 2017
Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing

* Short versions of this paper were presented at AISys [email protected] 2017 and MLSys [email protected] 2017 

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Dual Motion GAN for Future-Flow Embedded Video Prediction


Aug 03, 2017
Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing

* ICCV 17 camera ready 

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Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters


Jun 11, 2017
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

* To appear in 2017 USENIX Annual Technical Conference 

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SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays


Apr 10, 2017
Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing

* 10 pages, 7 figures, submitted to ICCV 2017 

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A Comparison of deep learning methods for environmental sound


Mar 20, 2017
Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das

* published at ICASSP 2017 
* 5 pages including reference 

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Learning Filter Banks Using Deep Learning For Acoustic Signals


Nov 29, 2016
Shuhui Qu, Juncheng Li, Wei Dai, Samarjit Das


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Very Deep Convolutional Neural Networks for Raw Waveforms


Oct 01, 2016
Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das

* 5 pages, 2 figures, under submission to International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017 

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Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms


Feb 13, 2016
Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P. Xing


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Strategies and Principles of Distributed Machine Learning on Big Data


Dec 31, 2015
Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai


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Petuum: A New Platform for Distributed Machine Learning on Big Data


May 14, 2015
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu

* 15 pages, 10 figures, final version in KDD 2015 under the same title 

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LightLDA: Big Topic Models on Modest Compute Clusters


Dec 04, 2014
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma


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High-Performance Distributed ML at Scale through Parameter Server Consistency Models


Oct 29, 2014
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth Gibson, Eric P. Xing

* 19 pages, 2 figures 

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Consistent Bounded-Asynchronous Parameter Servers for Distributed ML


Dec 31, 2013
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing

* Corrected Title 

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Simultaneous Codeword Optimization (SimCO) for Dictionary Update and Learning


Apr 18, 2012
Wei Dai, Tao Xu, Wenwu Wang

* 13 pages 

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