Deliang Fan

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Zhezhi HeAssociate 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, School of Computing, Binghamton University (SUNY)Verified email at binghamton.edu
Li YangAssistant Professor (CS), University of North Carolina at CharlotteVerified email at uncc.edu
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Mrigank SharadAssistant Professor Grade-I, Rajendra Mishra School of Engg Entrepreneurship, IIT KharagpurVerified email at rediffmail.in
Jae-sun SeoCornell TechVerified email at cornell.edu
Karthik YogendraIntel CorporationVerified email at intel.com
Chaitali ChakrabartiProfessor of Electrical Engineering, SECEE, Arizona State UniversityVerified email at asu.edu
Wei ZhangAssociate Professor of Computer Science at University of Central FloridaVerified email at ucf.edu
Jingtao LiSony AIVerified email at sony.com
Fan ZhangGoogleVerified email at google.com
Ronald F. DeMaraPegasus Professor, ECE Department, University of Central FloridaVerified email at ucf.edu
Jian MengCornell Tech, Cornell UniversityVerified email at cornell.edu
Yu CaoProfessor, University of MinnesotaVerified email at umn.edu
Farhana ParveenAssistant Professor, East West University, Dhaka, BangladeshVerified email at ewubd.edu
Boqing GongBoston University, GoogleVerified email at google.com
Fan YaoUniversity of Central FloridaVerified email at ucf.edu
Arman RoohiAssociate Professor at University of Illinois ChicagoVerified email at uic.edu
Rickard EwetzUniversity of FloridaVerified email at ufl.edu

Deliang Fan

Associate Professor, School of Electrical Computer and Energy Engineering, Arizona State University

Verified email at asu.edu - Homepage

Energy Efficient Computing In-Memory Computing AI Chip Efficient AI AI Security


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	337	2019
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	266	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	249	2020
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	248	2015
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	202	2019
{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), 1463-1480, 2020	174	2020
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	131	2018
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	127	2018
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	117	2019
Non-structured DNN weight pruning—Is it beneficial in any platform? X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, SH Tan, Z Li, D Fan, X Qian, ... IEEE transactions on neural networks and learning systems 33 (9), 4930-4944, 2021	111	2021
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories A Siraj Rakin, M Hafizul Islam Chowdhuryy, F Yao, D Fan 2022 IEEE Symposium on Security and Privacy (SP), 2022	109	2022
Defending and harnessing the bit-flip based adversarial weight attack Z He, AS Rakin, J Li, C Chakrabarti, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	98	2020
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	95	2019
T-BFA: Targeted Bit-Flip Adversarial Weight Attack AS Rakin, Z He, J Li, F Yao, C Chakrabarti, D Fan IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7928 …, 2021	94	2021
2D MoS₂-Based Threshold Switching Memristor for Artificial Neuron D Dev, A Krishnaprasad, MS Shawkat, Z He, S Das, D Fan, HS Chung, ... IEEE Electron Device Letters 41 (6), 936-939, 2020	93	2020
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	89	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	87	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	84	2018
TRGP: Trust Region Gradient Projection for Continual Learning S Lin, L Yang, D Fan, J Zhang International Conference on Learning Representations, 2022	83	2022
Graphide: A graph processing accelerator leveraging in-dram-computing S Angizi, D Fan Proceedings of the 2019 on Great Lakes Symposium on VLSI, 45-50, 2019	80	2019

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