Deliang Fan

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Zhezhi He (何哲陟)Assistant Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Shaahin AngiziAssistant Professor at New Jersey Institute of TechnologyVerified email at njit.edu
Adnan Siraj RakinAssistant Professor (CS), Binghamton University (SUNY)Verified email at binghamton.edu
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Li YangArizona state universityVerified email at asu.edu
Karthik YogendraIntel CorporationVerified email at intel.com
Farhana ParveenGrad Student (PhD), ECE, University of Central FloridaVerified email at knights.ucf.edu
Ronald F. DeMaraPegasus Professor, ECE Department, University of Central FloridaVerified email at ucf.edu
Wei ZhangAssistant Professor of Computer Science at University of Central FloridaVerified email at ucf.edu
Boqing GongResearch Scientist, GoogleVerified email at google.com
Chaitali ChakrabartiProfessor of Electrical Engineering, SECEE, Arizona State UniversityVerified email at asu.edu
Jae-sun SeoArizona State UniversityVerified email at asu.edu
Arman RoohiAssistant Professor, University of Nebraska-LincolnVerified email at unl.edu
Jingtao LiArizona State UniversityVerified email at asu.edu
Fan YaoUniversity of Central FloridaVerified email at ucf.edu
Rickard EwetzUniversity of Central FloridaVerified email at ucf.edu
Yu CaoProfessor of Electrical Engineering, Arizona State UniversityVerified email at asu.edu
Jiao SunPhD Candidate of Computer Science, University of Central FloridaVerified email at knights.ucf.edu
Abhronil SenguptaMonkowski Career Development Assistant Professor of EECS, Penn State UniversityVerified email at psu.edu
Anand RaghunathanProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu

Deliang Fan

Arizona State University

Verified email at asu.edu - Homepage

in-memory computing machine learning at edge AI Hardware AI Security neuromorphic computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Parametric noise injection: Trainable randomness to improve deep neural network robustness against adversarial attack Z He, AS Rakin, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	202	2019
Spin-transfer torque devices for logic and memory: Prospects and perspectives X Fong, Y Kim, K Yogendra, D Fan, A Sengupta, A Raghunathan, K Roy IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015	196	2015
Bit-flip attack: Crushing neural network with progressive bit search AS Rakin, Z He, D Fan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	134	2019
Noise injection adaption: End-to-end ReRAM crossbar non-ideal effect adaption for neural network mapping Z He, J Lin, R Ewetz, JS Yuan, D Fan Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019	131	2019
Tbt: Targeted neural network attack with bit trojan AS Rakin, Z He, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	125	2020
A semi-supervised two-stage approach to learning from noisy labels Y Ding, L Wang, D Fan, B Gong 2018 IEEE Winter conference on applications of computer vision (WACV), 1215-1224, 2018	100	2018
Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator S Angizi, Z He, AS Rakin, D Fan Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018	90	2018
Deephammer: Depleting the intelligence of deep neural networks through targeted chain of bit flips F Yao, AS Rakin, D Fan 29th {USENIX} Security Symposium ({USENIX} Security 20), 2020	70	2020
Hierarchical temporal memory based on spin-neurons and resistive memory for energy-efficient brain-inspired computing D Fan, M Sharad, A Sengupta, K Roy IEEE transactions on neural networks and learning systems 27 (9), 1907-1919, 2015	70	2015
Spin-neurons: A possible path to energy-efficient neuromorphic computers M Sharad, D Fan, K Roy Journal of applied physics 114 (23), 234906, 2013	70	2013
MRIMA: An MRAM-based in-memory accelerator S Angizi, Z He, A Awad, D Fan IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019	67	2019
STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks D Fan, Y Shim, A Raghunathan, K Roy Nanotechnology, IEEE Transactions on, 1, 2015	66	2015
Simultaneously optimizing weight and quantizer of ternary neural network using truncated gaussian approximation Z He, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	65	2019
Coupled spin torque nano oscillators for low power neural computation K Yogendra, D Fan, K Roy IEEE Transactions on Magnetics 51 (10), 1-9, 2015	65	2015
IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network S Angizi, Z He, F Parveen, D Fan 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 111-116, 2018	64	2018
Energy-efficient non-Boolean computing with spin neurons and resistive memory M Sharad, D Fan, K Aitken, K Roy IEEE Transactions on Nanotechnology 13 (1), 23-34, 2013	64	2013
Aligns: A processing-in-memory accelerator for dna short read alignment leveraging sot-mram S Angizi, J Sun, W Zhang, D Fan Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019	61	2019
Energy-efficient nonvolatile reconfigurable logic using spin hall effect-based lookup tables R Zand, A Roohi, D Fan, RF DeMara IEEE Transactions on Nanotechnology 16 (1), 32-43, 2016	61	2016
PIMA-logic: A novel processing-in-memory architecture for highly flexible and energy-efficient logic computation S Angizi, Z He, D Fan Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018	60	2018
Ultra low power associative computing with spin neurons and resistive crossbar memory M Sharad, D Fan, K Roy Proceedings of the 50th Annual Design Automation Conference, 1-6, 2013	59	2013

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