Sheng Lin

According to our database, Sheng Lin authored at least 35 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Towards Zero Memory Footprint Spiking Neural Network Training.

Bin Lei, Sheng Lin, Pei-Hung Lin, Chunhua Liao, Caiwen Ding

CoRR, 2023

2022

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?

Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate.

Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression.

Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

2021

NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting.

Qin Li, Changlu Liu, Peiyan Dong, Yanming Zhang, Tong Li, Sheng Lin, Minda Yang, Fei Qiao, Yanzhi Wang, Li Luo, Huazhong Yang

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference.

Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang

IEEE J. Solid State Circuits, 2021

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression.

Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li

CoRR, 2021

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator.

Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

A Secure and Efficient Federated Learning Framework for NLP.

Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

ESMFL: Efficient and Secure Models for Federated Learning.

Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding

CoRR, 2020

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

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

CoRR, 2020

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

CoRR, 2020

A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine.

Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Jieren Deng, Caiwen Ding

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting.

Qin Li, Sheng Lin, Changlu Liu, Yidong Liu, Fei Qiao, Yanzhi Wang, Huazhong Yang

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing.

Yawen Zhang, Sheng Lin, Runsheng Wang, Yanzhi Wang, Yuan Wang, Weikang Qian, Ru Huang

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

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

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

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.

Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation.

Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

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

Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation.

Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Caiwen Ding

CoRR, 2019

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

Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang

CoRR, 2019

Non-structured DNN Weight Pruning Considered Harmful.

Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma

CoRR, 2019

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM.

Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang

CoRR, 2019

ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning.

Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang

CoRR, 2019

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.

Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang

CoRR, 2019

ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning.

Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices.

Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM.

Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices.

Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations.

Jaemin Kim, Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Xue Lin, Yanzhi Wang, Youngjin Cho, Sang Hyun Park, Naehyuck Chang

IEEE Trans. Very Large Scale Integr. Syst., 2018

Learning Topics Using Semantic Locality.

Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

FFT-based deep learning deployment in embedded systems.

Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Reconfigurable thermoelectric generators for vehicle radiators energy harvesting.

Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Jaemin Kim, Xue Lin, Yanzhi Wang, Naehyuck Chang

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning.

Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017