default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBing Li 0017
Person information
- affiliation: Duke University, Durham, NC, USA
- affiliation (former): Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Computer System and Architecture, Beijing, China
Other persons with the same name
- Bing Li — disambiguation page
- Bing Li 0001
![[0000-0002-5888-6735]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5888-6735")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China (and 1 more) - Bing Li 0002 — Agency for Science, Technology and Research, A*STAR, Centre for Frontier AI Research, Singapore (and 2 more)
- Bing Li 0003 — Chongqing Jiaotong University, College of Sciences, China
- Bing Li 0004 — Shenzhen University, China (and 3 more)
- Bing Li 0005 — Technical University of Munich, Institute for Electronic Design Automation, Germany
- Bing Li 0006 — Hefei University of Technology, School of Electrical and Automation Engineering, China (and 1 more)
- Bing Li 0007 — Wuhan University of Technology, School of Economics, China (and 1 more)
- Bing Li 0008 — Clemson University, Department of Automotive Engineering, SC, USA (and 2 more)
- Bing Li 0009 — University of Virginia, Charlottesville, VA, USA
- Bing Li 0010 — Wuhan University, School of Computer / State Key Lab of Software Engineering, China (and 1 more)
- Bing Li 0011 — Shenzhen University, College of Electronic Science and Technology, China (and 1 more)
- Bing Li 0012 — Georgia State University, Department of Computer Science, Atlanta, GA, USA
- Bing Li 0013 — ETH Zurich, Department of Mechanical and Process Engineering, Reliability and Risk Engineering Laboratory, Switzerland
- Bing Li 0014 — Qilu University of Technology (Shandong Academy of Sciences), School of Information, Jinan, China
- Bing Li 0015 — Harbin Institute of Technology, Department of Mechanical Engineering and Automation, Shenzhen, China (and 1 more)
- Bing Li 0016 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China (and 2 more)
- Bing Li 0018 — Lanzhou University, School of Information Science and Engineering, China
- Bing Li 0019 — Arizona State University, Tempe, USA
- Bing Li 0020 — Yunnan Minzu University, School of Mathematics and Computer Science, China
- Bing Li 0021 — Jilin University, College of Computer Science and Technology, Changchun, China
- Bing Li 0022 — Xi'an Jiaotong University, Institute of Microelectronics, China
- Bing Li 0023 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, China
- Bing Li 0024 — King Abdullah University of Science and Technology, Visual Computing Center, Thuwal, Saudi Arabia (and 2 more)
- Bing Li 0025 — Tongji University, School of Software Engineering, Shanghai, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
[j10]Yintao He, Bing Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li:
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2635-2646 (2024)- 2023
- [j9]Hao Lv, Bing Li, Lei Zhang, Cheng Liu, Ying Wang:
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1588-1596 (2023) - [j8]Songyun Qu, Bing Li, Shixin Zhao, Lei Zhang, Ying Wang:
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2364-2376 (2023) - 2022
- [j7]Bing Li, Songyun Qu, Ying Wang:
An Automated Quantization Framework for High-Utilization RRAM-Based PIM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 583-596 (2022) - 2020
- [j6]Bing Li, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Joe X. Qiu, Hai (Helen) Li:
3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 16(2): 20:1-20:24 (2020) - [j5]Ziru Li, Bing Li, Zichen Fan, Hai Li:
RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4736-4747 (2020) - 2019
- [j4]Bonan Yan, Bing Li, Ximing Qiao, Cheng-Xin Xue, Meng-Fan Chang, Yiran Chen, Hai Helen Li:
Resistive Memory-Based In-Memory Computing: From Device and Large-Scale Integration System Perspectives. Adv. Intell. Syst. 1(7): 1900068 (2019) - [j3]Qingli Guo, Jing Ye, Bing Li, Yu Hu, Xiaowei Li, Yazhu Lan, Guohe Zhang:
PUFPass: A password management mechanism based on software/hardware codesign. Integr. 64: 173-183 (2019) - [j2]Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai (Helen) Li:
Thread Batching for High-performance Energy-efficient GPU Memory Design. ACM J. Emerg. Technol. Comput. Syst. 15(4): 39:1-39:21 (2019) - 2017
- [j1]Bing Li, Yu Hu, Ying Wang, Jing Ye, Xiaowei Li:
Power-Utility-Driven Write Management for MLC PCM. ACM J. Emerg. Technol. Comput. Syst. 13(3): 50:1-50:22 (2017)
Conference and Workshop Papers
- 2024
- [c25]Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang:
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators. ASPLOS (2) 2024: 185-200 - 2023
- [c24]Yanjun Li, Chunshan Zu, Bingqian Wang, Zhenhua Zhu, Yaojun Zhang, Ran Duan, Bing Li, Bonan Yan:
SRAM-Based Processing-In-Memory Design with Kullback-Leibler Divergence-Based Dynamic Precision Quantization. ACM Great Lakes Symposium on VLSI 2023: 189-192 - [c23]Yilun Zhao, Yu Chen, He Li, Ying Wang, Kaiyan Chang, Bingmeng Wang, Bing Li, Yinhe Han:
Full State Quantum Circuit Simulation Beyond Memory Limit. ICCAD 2023: 1-9 - 2022
- [c22]Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li:
InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs. DAC 2022: 97-102 - [c21]Bing Li, Hao Lv, Ying Wang, Yiran Chen:
Security Threat to the Robustness of RRAM-based Neuromorphic Computing System. iSES 2022: 267-271 - 2021
- [c20]Hao Lv, Bing Li, Ying Wang, Cheng Liu, Lei Zhang:
VADER: Leveraging the Natural Variation of Hardware to Enhance Adversarial Attack. ASP-DAC 2021: 487-492 - [c19]Songyun Qu, Bing Li, Ying Wang, Lei Zhang:
ASBP: Automatic Structured Bit-Pruning for RRAM-based NN Accelerator. DAC 2021: 745-750 - [c18]Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang:
MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design. ACM Great Lakes Symposium on VLSI 2021: 1-8 - [c17]Chengsi Gao, Bing Li, Ying Wang, Weiwei Chen, Lei Zhang:
Tenet: A Neural Network Model Extraction Attack in Multi-core Architecture. ACM Great Lakes Symposium on VLSI 2021: 21-26 - [c16]Farzaneh Zokaee, Bing Li, Fan Chen:
FeFET-based Process-in-Memory Architecture for Low-Power DNN Training. NANOARCH 2021: 1-6 - 2020
- [c15]Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang:
RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. DAC 2020: 1-6 - [c14]Ying Wang, Mengdi Wang, Bing Li, Huawei Li, Xiaowei Li:
A Many-Core Accelerator Design for On-Chip Deep Reinforcement Learning. ICCAD 2020: 46:1-46:7 - [c13]Bing Li, Ying Wang, Yiran Chen:
HitM: High-Throughput ReRAM-based PIM for Multi-Modal Neural Networks. ICCAD 2020: 105:1-105:7 - 2019
- [c12]Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen:
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. AICAS 2019: 276-278 - [c11]Bing Li, Bonan Yan, Chenchen Liu, Hai (Helen) Li:
Build reliable and efficient neuromorphic design with memristor technology. ASP-DAC 2019: 224-229 - [c10]Biresh Kumar Joardar, Bing Li, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty:
REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs. DATE 2019: 522-527 - [c9]Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li:
RED: A ReRAM-based Deconvolution Accelerator. DATE 2019: 1763-1768 - [c8]Bing Li, Bonan Yan, Hai Li:
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications. ACM Great Lakes Symposium on VLSI 2019: 381-386 - [c7]Qilin Zheng, Jian Kang, Zongwei Wang, Yimao Cai, Ru Huang, Bing Li, Yiran Chen, Hai Helen Li:
Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse. ISCAS 2019: 1-5 - 2018
- [c6]Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li:
Running sparse and low-precision neural network: When algorithm meets hardware. ASP-DAC 2018: 534-539 - [c5]Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li:
ReRAM-based accelerator for deep learning. DATE 2018: 815-820 - [c4]Bing Li, Fan Chen, Wang Kang, Weisheng Zhao, Yiran Chen, Hai Li:
Design and Data Management for Magnetic Racetrack Memory. ISCAS 2018: 1-4 - 2014
- [c3]Bing Li, Shuchang Shan, Yu Hu, Xiaowei Li:
Partial-SET: Write speedup of PCM main memory. DATE 2014: 1-4 - [c2]Bing Li, Yu Hu, Xiaowei Li:
Short-SET: An energy-efficient write scheme for MLC PCM. NVMSA 2014: 1-6 - 2013
- [c1]Bing Li, Shuchang Shan, Yu Hu, Xiaowei Li:
Tolerating Noise in MLC PCM with Multi-Bit Error Correction Code. PRDC 2013: 226-231
Informal and Other Publications
- 2024
- [i6]Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang:
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators. CoRR abs/2401.12428 (2024) - [i5]Yilun Zhao, Bingmeng Wang, Wenle Jiang, Xiwei Pan, Bing Li, Yinhe Han, Ying Wang:
SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation. CoRR abs/2408.05435 (2024) - 2023
- [i4]Hao Lv, Bing Li, Lei Zhang, Cheng Liu, Ying Wang:
Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System. CoRR abs/2302.09902 (2023) - 2019
- [i3]Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai Helen Li:
Thread Batching for High-performance Energy-efficient GPU Memory Design. CoRR abs/1906.05922 (2019) - [i2]Bing Li, Bonan Yan, Hai Li:
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications. CoRR abs/1906.06603 (2019) - [i1]Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li:
RED: A ReRAM-based Deconvolution Accelerator. CoRR abs/1907.02987 (2019)
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 2024-11-08 21:29 CET 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:
