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Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning


Oct 08, 2020
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding

* Accepted to Findings of EMNLP 2020 

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FTRANS: Energy-Efficient Acceleration of Transformers using FPGA


Jul 16, 2020
Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding

* 7 pages, 7 figures 

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Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks


Jun 19, 2018
Hongwei Li, Kanru Lin, Maximilian Reichert, Lina Xu, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern Menze, Kuangyu Shi

* submitted to miccai 2017, *corresponding author: [email protected] 

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Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing


May 10, 2018
Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang

* Accepted by IEEE Computer Society Annual Symposium on VLSI 2018 

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Indirect Supervision for Relation Extraction using Question-Answer Pairs


Nov 23, 2017
Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han

* 9 pages + 1 page reference. Accepted to WSDM 2018 

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Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks


Mar 12, 2017
Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang

* This paper is accepted by 2017 International Joint Conference on Neural Networks (IJCNN) 

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SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing


Jan 31, 2017
Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang

* This paper is accepted by 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2017 

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Guarantees of Augmented Trace Norm Models in Tensor Recovery


Jul 23, 2012
Ziqiang Shi, Jiqing Han, Tieran Zheng, Shiwen Deng, Ji Li


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