Mengshu Sun
North Eastern University
H-index: 11
Asia-Thailand
Top articles of Mengshu Sun
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Hardware-Friendly 3D CNN Acceleration With Balanced Kernel Group Sparsity | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | Mengshu Sun Kaidi Xu Xue Lin Yongli Hu Baocai Yin | 2024/4/16 |
Peeling the onion: Hierarchical reduction of data redundancy for efficient vision transformer training | Proceedings of the AAAI Conference on Artificial Intelligence | Zhenglun Kong Haoyu Ma Geng Yuan Mengshu Sun Yanyue Xie | 2023/6/26 |
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training | Sung-En Chang Geng Yuan Alec Lu Mengshu Sun Yanyu Li | 2023/4/17 | |
Heatvit: Hardware-efficient adaptive token pruning for vision transformers | Peiyan Dong Mengshu Sun Alec Lu Yanyue Xie Kenneth Liu | 2023/2/25 | |
Pursing the Sparse Limitation of Spiking Deep Learning Structures | arXiv preprint arXiv:2311.12060 | Hao Cheng Jiahang Cao Erjia Xiao Mengshu Sun Le Yang | 2023/11/18 |
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network | arXiv preprint arXiv:2309.13302 | Hao Cheng Jiahang Cao Erjia Xiao Pu Zhao Mengshu Sun | 2023/9/23 |
Spvit: Enabling faster vision transformers via latency-aware soft token pruning | Zhenglun Kong Peiyan Dong Xiaolong Ma Xin Meng Wei Niu | 2022/10/23 | |
VAQF: fully automatic software-hardware co-design framework for low-bit vision transformer | arXiv preprint arXiv:2201.06618 | Mengshu Sun Haoyu Ma Guoliang Kang Yifan Jiang Tianlong Chen | 2022/1/17 |
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: Late breaking results | Mengshu Sun Zhengang Li Alec Lu Haoyu Ma Geng Yuan | 2022/7/10 | |
Auto-vit-acc: An fpga-aware automatic acceleration framework for vision transformer with mixed-scheme quantization | Zhengang Li Mengshu Sun Alec Lu Haoyu Ma Geng Yuan | 2022/8/29 | |
Late Breaking Results: FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization | Proceedings of the 59th Design Automation Conference (DAC) | Mengshu Sun Zhengang Li Alec Lu Haoyu Ma Geng Yuan | 2022/1 |
TAAS: A timing-aware analytical strategy for AQFP-capable placement automation | Peiyan Dong Yanyue Xie Hongjia Li Mengshu Sun Olivia Chen | 2022/7/10 | |
Deep Learning Acceleration on Edge Devices with Algorithm/Hardware Co-Design | Mengshu Sun | 2022/8 | |
Power management in hybrid electric vehicles using deep recurrent reinforcement learning | Electrical Engineering | Mengshu Sun Pu Zhao Xue Lin | 2022/6 |
TAAS | Proceedings of the 59th ACM/IEEE Design Automation Conference | Peiyan Dong Yanyue Xie Hongjia Li Mengshu Sun Olivia Chen | 2022/7/10 |
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression | Mengshu Sun Sheng Lin Shan Liu Songnan Li Yanzhi Wang | 2022/5/15 | |
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework | ACM Transactions on Embedded Computing Systems | Geng Yuan Peiyan Dong Mengshu Sun Wei Niu Zhengang Li | 2022/12/9 |
Film-qnn: Efficient fpga acceleration of deep neural networks with intra-layer, mixed-precision quantization | Mengshu Sun Zhengang Li Alec Lu Yanyu Li Sung-En Chang | 2022/2/13 | |
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results | Sung-En Chang Geng Yuan Alec Lu Mengshu Sun Yanyu Li | 2022/7/10 | |
RT3D: Achieving real-time execution of 3d convolutional neural networks on mobile devices | Proceedings of the AAAI Conference on Artificial Intelligence | Wei Niu Mengshu Sun Zhengang Li Jou-An Chen Jiexiong Guan | 2021/5/18 |
Co-Authors
