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Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training


Nov 19, 2022
Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang

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* AAAI 2023 

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HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers


Nov 15, 2022
Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang

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* HPCA 2023 

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The Lottery Ticket Hypothesis for Vision Transformers


Nov 02, 2022
Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang

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Quantum Neural Network Compression


Jul 05, 2022
Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang

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SPViT: Enabling Faster Vision Transformers via Soft Token Pruning


Dec 27, 2021
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang

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* 8 pages 

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GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity


Aug 25, 2021
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

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* Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 

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RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition


Feb 19, 2020
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao

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DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks


Nov 20, 2019
Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-kuang Chen, Yuan Xie, Yanzhi Wang

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* This paper has been accepted by AAAI'2020 

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