default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSheng Lin 0001
Person information
- affiliation: Tencent Media Lab, USA
- affiliation (PhD 2020): Northeastern University, Boston, MA, USA
- affiliation (former): Syracuse University, Department of Electrical Engineering and Computer Science, NY, USA
Other persons with the same name
- Sheng Lin — disambiguation page
- Sheng Lin 0002 — Tianjin University of Technology, School of Computer and Communication Engineering, China (and 1 more)
- Sheng Lin 0003
![[0000-0003-3321-5473]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3321-5473")
— Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China (and 1 more) - Sheng Lin 0004 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
- Sheng Lin 0005 — Xidian University, School of Aerospace Science and Technology, Xi'an, China
- Sheng Lin 0006 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA (and 2 more)
Other persons with a similar name
- Linsheng Huo (aka: Lin-Sheng Huo) — Dalian University of Technology, School of Civil and Hydraulic Engineering, Liaoning, China
- Chi-Sheng Lin
- Chih-Sheng Lin
- Jzau-Sheng Lin
- Min-Sheng Lin
- Sheng-Chieh Lin
- Sheng-Fuu Lin
- Sheng-Hong Lin
- Yo-Sheng Lin
- Yu-Sheng Lin
- show all similar names
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[i22]Bin Lei, Sheng Lin, Pei-Hung Lin, Chunhua Liao, Caiwen Ding:
Towards Zero Memory Footprint Spiking Neural Network Training. CoRR abs/2308.08649 (2023)- 2022
- [j4]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:
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33(9): 4930-4944 (2022) - [c20]Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang:
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. FCCM 2022: 1 - [c19]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. ICME Workshops 2022: 1-4 - [i21]Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. CoRR abs/2201.11934 (2022) - [i20]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate. CoRR abs/2207.04090 (2022) - 2021
- [j3]Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang:
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. IEEE J. Solid State Circuits 56(6): 1924-1935 (2021) - [j2]Qin Li, Changlu Liu, Peiyan Dong, Yanming Zhang, Tong Li, Sheng Lin, Minda Yang, Fei Qiao, Yanzhi Wang, Li Luo, Huazhong Yang:
NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1892-1905 (2021) - [c18]Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) 2021: 7676-7682 - [c17]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. ISCA 2021: 265-278 - [i19]Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li:
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. CoRR abs/2106.08301 (2021) - [i18]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. CoRR abs/2106.09144 (2021) - [i17]Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang:
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. CoRR abs/2107.02388 (2021) - 2020
- [c16]Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang:
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. AAAI 2020: 5495-5502 - [c15]Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang:
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC 2020: 301-306 - [c14]Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. ASPLOS 2020: 907-922 - [c13]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. DAC 2020: 1-6 - [c12]Yawen Zhang, Sheng Lin, Runsheng Wang, Yanzhi Wang, Yuan Wang, Weikang Qian, Ru Huang:
When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing. DATE 2020: 1287-1290 - [c11]Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) 2020: 629-645 - [c10]Qin Li, Sheng Lin, Changlu Liu, Yidong Liu, Fei Qiao, Yanzhi Wang, Huazhong Yang:
NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting. ISLPED 2020: 97-102 - [c9]Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Jieren Deng, Caiwen Ding:
A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine. SoCC 2020: 37-42 - [i16]Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. CoRR abs/2001.00138 (2020) - [i15]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:
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR abs/2001.07710 (2020) - [i14]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. CoRR abs/2002.11474 (2020) - [i13]Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding:
ESMFL: Efficient and Secure Models for Federated Learning. CoRR abs/2009.01867 (2020)
2010 – 2019
- 2019
- [c8]Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang:
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI 2019: 501-506 - [c7]Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang:
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. ISLPED 2019: 1-6 - [c6]Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 89-97 - [c5]Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang:
ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. NANOARCH 2019: 1-2 - [i12]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:
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR abs/1903.09769 (2019) - [i11]Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang:
ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. CoRR abs/1905.00136 (2019) - [i10]Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang:
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. CoRR abs/1905.00789 (2019) - [i9]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:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i8]Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang:
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. CoRR abs/1908.10017 (2019) - [i7]Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang:
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. CoRR abs/1908.11691 (2019) - [i6]Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. CoRR abs/1911.02007 (2019) - [i5]Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang:
DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. CoRR abs/1911.08020 (2019) - [i4]Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Caiwen Ding:
A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation. CoRR abs/1912.05416 (2019) - 2018
- [j1]Jaemin Kim, Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Xue Lin, Yanzhi Wang, Youngjin Cho, Sang Hyun Park, Naehyuck Chang:
Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations. IEEE Trans. Very Large Scale Integr. Syst. 26(7): 1241-1253 (2018) - [c4]Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram:
FFT-based deep learning deployment in embedded systems. DATE 2018: 1045-1050 - [c3]Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu:
Learning Topics Using Semantic Locality. ICPR 2018: 3710-3715 - [i3]Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu:
Learning Topics using Semantic Locality. CoRR abs/1804.04205 (2018) - 2017
- [c2]Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. ICDCS 2017: 372-382 - [c1]Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Jaemin Kim, Xue Lin, Yanzhi Wang, Naehyuck Chang:
Reconfigurable thermoelectric generators for vehicle radiators energy harvesting. ISLPED 2017: 1-6 - [i2]Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. CoRR abs/1703.04221 (2017) - [i1]Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram:
FFT-Based Deep Learning Deployment in Embedded Systems. CoRR abs/1712.04910 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
