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UNIT: Unifying Tensorized Instruction Compilation


Jan 21, 2021
Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki

* 13 pages, 13 figures, and 1 table 

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HAWQV3: Dyadic Neural Network Quantization


Nov 20, 2020
Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer


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FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems


Sep 29, 2020
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang

* SC'20; changed all figures to type 1 

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SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification


Aug 17, 2020
Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari

* accepted in ECCV 2020 as oral 

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A Large-Scale Chinese Short-Text Conversation Dataset


Aug 10, 2020
Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang

* Accepted to NLPCC 2020 

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Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments


Aug 05, 2020
Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari


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Is Network the Bottleneck of Distributed Training?


Jun 24, 2020
Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin


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Efficient Execution of Quantized Deep Learning Models: A Compiler Approach


Jun 18, 2020
Animesh Jain, Shoubhik Bhattacharya, Masahiro Masuda, Vin Sharma, Yida Wang


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Ansor : Generating High-Performance Tensor Programs for Deep Learning


Jun 15, 2020
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica


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Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference


Jun 04, 2020
Haichen Shen, Jared Roesch, Zhi Chen, Wei Chen, Yong Wu, Mu Li, Vin Sharma, Zachary Tatlock, Yida Wang


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Optimizing Memory-Access Patterns for Deep Learning Accelerators


Feb 27, 2020
Hongbin Zheng, Sejong Oh, Huiqing Wang, Preston Briggs, Jiading Gai, Animesh Jain, Yizhi Liu, Rich Heaton, Randy Huang, Yida Wang

* Extended abstract for a poster presented at C4ML workshop 2020 

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ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image


Sep 03, 2019
Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari

* Accepted in International Conference on Computer Vision 2019 

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Adversarial Semantic Scene Completion from a Single Depth Image


Oct 25, 2018
Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari

* Y. Wang, D. J. Tan, N. Navab and F. Tombari, 2018 International Conference on 3D Vision (3DV), Verona, Italy, 2018, pp. 426-434 
* 2018 International Conference on 3D Vision (3DV) 

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Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models


Apr 24, 2018
Yida Wang, Weihong Deng

* IEEE Transactions on Image Processing 2018 
* 14 pages 

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Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets


Aug 18, 2016
Michael J. Anderson, Mihai Capotă, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman


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