Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFan Chen 0001
Person information
- affiliation: Indiana University Bloomington, IN, USA
- affiliation (PhD 2020): Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
Other persons with the same name
- Fan Chen — disambiguation page
- Fan Chen 0002 — Japan Advanced Institute of Science and Technology, Ishikawa-ken, Japan
- Fan Chen 0003
![[0000-0002-2909-0295]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2909-0295")
— Southwest Jiaotong University, Sichuan Key Laboratory of Signal and Information Processing, Chengdu, China - Fan Chen 0004 — SSAL Inc., Greenbelt, USA (and 2 more)
- Fan Chen 0005 — Wuhan University, School of Electrical Engineering and Automation, China
- Fan Chen 0006 — Massachusetts Institute of Technology, MIT, Machine Learning Optimization, MA, USA (and 1 more)
- Fan Chen 0007 — Kent State University, Department of Computer Science, OH, USA
- Fan Chen 0008 — Tongji University, Shanghai, China
- Fan Chen 0009 — Nanjing Institute of Technology, School of Electric Power Engineering, Jiangsu Collaborative Innovation Center for Smart Distribution Network, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2020
[b1]Fan Chen:
In-Memory Computing Architecture for Deep Learning Acceleration. Duke University, Durham, NC, USA, 2020
Journal Articles
- 2023
- [j1]Farzaneh Zokaee, Fan Chen, Guangyu Sun, Lei Jiang:
Sky-Sorter: A Processing-in-Memory Architecture for Large-Scale Sorting. IEEE Trans. Computers 72(2): 480-493 (2023)
Conference and Workshop Papers
- 2023
- [c32]Cheng Chu, Lei Jiang, Martin Swany, Fan Chen:
QTROJAN: A Circuit Backdoor Against Quantum Neural Networks. ICASSP 2023: 1-5 - [c31]Cheng Chu, Grant Skipper, Martin Swany, Fan Chen:
IQGAN: Robust Quantum Generative Adversarial Network for Image Synthesis On NISQ Devices. ICASSP 2023: 1-5 - [c30]Mengxin Zheng, Fan Chen, Lei Jiang, Qian Lou:
PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data. ISQED 2023: 1-7 - [c29]Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang:
QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. QCE 2023: 1098-1106 - [c28]Cheng Chu, Lei Jiang, Fan Chen:
CryptoQFL: Quantum Federated Learning on Encrypted Data. QCE 2023: 1231-1237 - [c27]Linghao Song, Fan Chen, Hai Li, Yiran Chen:
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC 2023: 75:1-75:15 - 2022
- [c26]Samuel J. Engers, Cheng Chu, Dawen Xu, Ying Wang, Fan Chen:
MOCCA: A Process Variation Tolerant Systolic DNN Accelerator using CNFETs in Monolithic 3D. ACM Great Lakes Symposium on VLSI 2022: 379-382 - [c25]Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen:
QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. ISLPED 2022: 4:1-4:6 - [c24]Cheng Chu, Dawen Xu, Ying Wang, Fan Chen:
Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator. ISLPED 2022: 24:1-24:6 - [c23]Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu:
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption. NANOARCH 2022: 19:1-19:2 - 2021
- [c22]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE 2021: 340-343 - [c21]Fan Chen, Linghao Song, Hai Li, Yiran Chen:
Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE 2021: 1240-1245 - [c20]Cheng Chu, Fan Chen, Dawen Xu, Ying Wang:
RECOIN: A Low-Power Processing-in-ReRAM Architecture for Deformable Convolution. ACM Great Lakes Symposium on VLSI 2021: 235-240 - [c19]Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen:
Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD 2021: 1-9 - [c18]Fan Chen:
PUFFIN: An Efficient DNN Training Accelerator for Direct Feedback Alignment in FeFET. ISLPED 2021: 1-6 - [c17]Farzaneh Zokaee, Bing Li, Fan Chen:
FeFET-based Process-in-Memory Architecture for Low-Power DNN Training. NANOARCH 2021: 1-6 - 2020
- [c16]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. ASP-DAC 2020: 175-180 - [c15]Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li:
Parallelism in Deep Learning Accelerators. ASP-DAC 2020: 645-650 - [c14]Yitu Wang, Fan Chen, Linghao Song, C.-J. Richard Shi, Hai Helen Li, Yiran Chen:
ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE 2020: 1472-1477 - [c13]Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA 2020: 342-355 - 2019
- [c12]Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao:
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS 2019: 21:1-21:10 - [c11]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. DAC 2019: 133 - [c10]Fan Chen, Linghao Song, Hai (Helen) Li:
Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM. ACM Great Lakes Symposium on VLSI 2019: 423-428 - [c9]Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP 2019: 3882-3886 - [c8]Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen:
How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD 2019: 1-5 - [c7]Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li:
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. EMC2@NeurIPS 2019: 1-5 - 2018
- [c6]Fan Chen, Linghao Song, Yiran Chen:
ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. ASP-DAC 2018: 178-183 - [c5]Fan Chen, Zheng Li, Wang Kang, Weisheng Zhao, Hai Li, Yiran Chen:
Process variation aware data management for magnetic skyrmions racetrack memory. ASP-DAC 2018: 221-226 - [c4]Bonan Yan, Fan Chen, Yaojun Zhang, Chang Song, Hai Li, Yiran Chen:
Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices. DATE 2018: 109-112 - [c3]Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li:
ReRAM-based accelerator for deep learning. DATE 2018: 815-820 - [c2]Fan Chen, Hai Li:
EMAT: an efficient multi-task architecture for transfer learning using ReRAM. ICCAD 2018: 33 - [c1]Bing Li, Fan Chen, Wang Kang, Weisheng Zhao, Yiran Chen, Hai Li:
Design and Data Management for Magnetic Racetrack Memory. ISCAS 2018: 1-4
Informal and Other Publications
- 2024
- [i13]Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang:
TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer. CoRR abs/2402.11021 (2024) - [i12]Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen:
QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. CoRR abs/2403.10790 (2024) - [i11]Ahmad Faiz, Shahzeen Attari, Gayle Buck, Fan Chen, Lei Jiang:
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning. CoRR abs/2403.10984 (2024) - [i10]Ruhan Wang, Fahiz Baba-Yara, Fan Chen:
JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks. CoRR abs/2403.11048 (2024) - 2023
- [i9]Cheng Chu, Lei Jiang, Martin Swany, Fan Chen:
QTrojan: A Circuit Backdoor Against Quantum Neural Networks. CoRR abs/2302.08090 (2023) - [i8]Cheng Chu, Lei Jiang, Fan Chen:
CryptoQFL: Quantum Federated Learning on Encrypted Data. CoRR abs/2307.07012 (2023) - [i7]Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang:
QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. CoRR abs/2307.09529 (2023) - [i6]Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Parteek Sharma, Fan Chen, Lei Jiang:
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models. CoRR abs/2309.14393 (2023) - 2022
- [i5]Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen:
QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. CoRR abs/2206.01345 (2022) - [i4]Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu:
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption. CoRR abs/2211.13780 (2022) - 2020
- [i3]Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen:
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR abs/2011.03190 (2020) - 2019
- [i2]Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR abs/1902.00743 (2019) - [i1]Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li:
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. CoRR abs/1909.08496 (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 2024-06-14 18:13 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:
