Ultra low power associative computing with spin neurons and resistive crossbar memory. - Mrigank Sharad; Deliang Fan; Kaushik Roy 001 (DAC, 2013)

Exploring Boolean and non-Boolean computing with spin torque devices. - Kaushik Roy 001; Mrigank Sharad; Deliang Fan; Karthik Yogendra (ICCAD, 2013)

Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. - Kaushik Roy 001; Mrigank Sharad; Deliang Fan; Karthik Yogendra (ISLPED, 2013)

Low power and compact mixed-mode signal processing hardware using spin-neurons. - Mrigank Sharad; Deliang Fan; Kaushik Roy 001 (ISQED, 2013)

Exploring Boolean and Non-Boolean Computing Applications of Spin Torque Devices. - Kaushik Roy 001; Mrigank Sharad; Deliang Fan; Karthik Yogendra (CoRR, 2013)

Ultra-low Energy, High Performance and Programmable Magnetic Threshold Logic. - Mrigank Sharad; Deliang Fan; Kaushik Roy 001 (CoRR, 2013)

Ultra-low Energy, High-Performance Dynamic Resistive Threshold Logic. - Mrigank Sharad; Deliang Fan; Kaushik Roy 001 (CoRR, 2013)

Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers. - Mrigank Sharad; Deliang Fan; Kaushik Roy 001 (CoRR, 2013)

Brain-inspired computing with spin torque devices. - Kaushik Roy 001; Mrigank Sharad; Deliang Fan; Karthik Yogendra (DATE, 2014)

Computing with Spin-Transfer-Torque Devices: Prospects and Perspectives. - Kaushik Roy 001; Mrigank Sharad; Deliang Fan; Karthik Yogendra (ISVLSI, 2014)

Design and Synthesis of Ultra Low Energy Spin-Memristor Threshold Logic. - Deliang Fan; Mrigank Sharad; Kaushik Roy 001 (CoRR, 2014)

STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks. - Deliang Fan; Yong Shim; Anand Raghunathan; Kaushik Roy 001 (CoRR, 2014)

Exploring Spin Transfer Torque Devices for Unconventional Computing. - Kaushik Roy 001; Deliang Fan; Xuanyao Fong; Yusung Kim 002; Mrigank Sharad; Somnath Paul; Subho Chatterjee; Swarup Bhunia; Saibal Mukhopadhyay (IEEE J. Emerg. Sel. Topics Circuits Syst., 2015)

Boolean and brain-inspired computing using spin-transfer torque devices - Deliang Fan (2015)

Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. - Abhronil Sengupta; Karthik Yogendra; Deliang Fan; Kaushik Roy 001 (ASP-DAC, 2016)

Computing with coupled Spin Torque Nano Oscillators. - Karthik Yogendra; Deliang Fan; Yong Shim; Minsuk Koo; Kaushik Roy 001 (ASP-DAC, 2016)

Ultra-Low Energy Reconfigurable Spintronic Threshold Logic Gate. - Deliang Fan (ACM Great Lakes Symposium on VLSI, 2016)

Spin torque nano-oscillator based Oscillatory Neural Network. - Chamika M. Liyanagedera; Karthik Yogendra; Kaushik Roy 001; Deliang Fan (IJCNN, 2016)

A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator. - Zhezhi He; Deliang Fan (ISLPED, 2016)

Low power in-memory computing platform with four Terminal magnetic Domain Wall Motion devices. - Deliang Fan (NANOARCH, 2016)

Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives. - Xuanyao Fong; Yusung Kim 002; Karthik Yogendra; Deliang Fan; Abhronil Sengupta; Anand Raghunathan; Kaushik Roy 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016)

Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. - Deliang Fan; Mrigank Sharad; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. - Zhezhi He; Deliang Fan (DATE, 2017)

Leveraging All-Spin Logic to Improve Hardware Security. - Qutaiba Alasad; Jiann-Shiun Yuan; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2017)

Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. - Shaahin Angizi; Zhezhi He; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2017)

Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. - Zhezhi He; Shaahin Angizi; Farhana Parveen; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2017)

Design of accurate stochastic number generators with noisy emerging devices for stochastic computing. - Meng Yang; John P. Hayes; Deliang Fan; Weikang Qian (ICCAD, 2017)

Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM. - Deliang Fan; Shaahin Angizi (ICCD, 2017)

Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. - Zhezhi He; Shaahin Angizi; Deliang Fan (ICCD, 2017)

Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. - Farhana Parveen; Shaahin Angizi; Zhezhi He; Deliang Fan (ISCAS, 2017)

Low power in-memory computing based on dual-mode SOT-MRAM. - Farhana Parveen; Shaahin Angizi; Zhezhi He; Deliang Fan (ISLPED, 2017)

Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. - Shaahin Angizi; Zhezhi He; Ronald F. DeMara; Deliang Fan (ISQED, 2017)

RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. - Shaahin Angizi; Zhezhi He; Farhana Parveen; Deliang Fan (ISVLSI, 2017)

In-Memory Computing with Spintronic Devices. - Deliang Fan; Shaahin Angizi; Zhezhi He (ISVLSI, 2017)

Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. - Farhana Parveen; Zhezhi He; Shaahin Angizi; Deliang Fan (ISVLSI, 2017)

Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network. - Deliang Fan; Zhezhi He; Shaahin Angizi (MWSCAS, 2017)

High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. - Zhezhi He; Shaahin Angizi; Farhana Parveen; Deliang Fan (NANOARCH, 2017)

IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network. - Shaahin Angizi; Deliang Fan (NCS, 2017)

Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. - Zhezhi He; Shaahin Angizi; Deliang Fan (CoRR, 2017)

Developing All-Skyrmion Spiking Neural Network. - Zhezhi He; Deliang Fan (CoRR, 2017)

Survey of STT-MRAM Cell Design Strategies: Taxonomy and Sense Amplifier Tradeoffs for Resiliency. - Soheil Salehi; Deliang Fan; Ronald F. DeMara (ACM J. Emerg. Technol. Comput. Syst., 2017)

Coupled Spin-Torque Nano-Oscillator-Based Computation: A Simulation Study. - Karthik Yogendra; Chamika M. Liyanagedera; Deliang Fan; Yong Shim; Kaushik Roy 001 (ACM J. Emerg. Technol. Comput. Syst., 2017)

Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching. - Arman Roohi; Ramtin Zand; Deliang Fan; Ronald F. DeMara (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices. - Zhezhi He; Deliang Fan (IEEE Trans. Emerg. Top. Comput., 2017)

IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. - Shaahin Angizi; Zhezhi He; Farhana Parveen; Deliang Fan (ASP-DAC, 2018)

HielM: Highly flexible in-memory computing using STT MRAM. - Farhana Parveen; Zhezhi He; Shaahin Angizi; Deliang Fan (ASP-DAC, 2018)

PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. - Shaahin Angizi; Zhezhi He; Deliang Fan (DAC, 2018)

CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. - Shaahin Angizi; Zhezhi He; Adnan Siraj Rakin; Deliang Fan (DAC, 2018)

Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. - Shaahin Angizi; Zhezhi He; Yu Bai 004; Jie Han 001; Mingjie Lin; Ronald F. DeMara; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2018)

DIMA: a depthwise CNN in-memory accelerator. - Shaahin Angizi; Zhezhi He; Deliang Fan (ICCAD, 2018)

PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. - Adnan Siraj Rakin; Shaahin Angizi; Zhezhi He; Deliang Fan (ICCD, 2018)

A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. - Li Yang 009; Zhezhi He; Deliang Fan (ISLPED, 2018)

Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. - Zhezhi He; Shaahin Angizi; Deliang Fan (ISVLSI, 2018)

BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. - Zhezhi He; Shaahin Angizi; Adnan Siraj Rakin; Deliang Fan (ISVLSI, 2018)

A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. - Yifan Ding; Liqiang Wang 001; Deliang Fan; Boqing Gong (WACV, 2018)

Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. - Adnan Siraj Rakin; Zhezhi He; Boqing Gong; Deliang Fan (CoRR, 2018)

Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. - Adnan Siraj Rakin; Jinfeng Yi; Boqing Gong; Deliang Fan (CoRR, 2018)

IMFlexCom: Energy Efficient In-Memory Flexible Computing Using Dual-Mode SOT-MRAM. - Farhana Parveen; Shaahin Angizi; Deliang Fan (ACM J. Emerg. Technol. Comput. Syst., 2018)

Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. - Shaahin Angizi; Zhezhi He; Nader Bagherzadeh; Deliang Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Stochastic-Based Synapse and Soft-Limiting Neuron with Spintronic Devices for Low Power and Robust Artificial Neural Networks. - Yu Bai 004; Deliang Fan; Mingjie Lin (IEEE Trans. Multi Scale Comput. Syst., 2018)

Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. - Zhezhi He; Yang Zhang 035; Shaahin Angizi; Boqing Gong; Deliang Fan (IEEE Trans. Multi Scale Comput. Syst., 2018)

ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. - Shaahin Angizi; Zhezhi He; Deliang Fan (ASP-DAC, 2019)

Handling stuck-at-faults in memristor crossbar arrays using matrix transformations. - Baogang Zhang; Necati Uysal; Deliang Fan; Rickard Ewetz (ASP-DAC, 2019)

Defending Against Adversarial Attacks Using Random Forest. - Yifan Ding; Liqiang Wang 001; Huan Zhang 001; Jinfeng Yi; Deliang Fan; Boqing Gong (CVPR Workshops, 2019)

Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. - Zhezhi He; Deliang Fan (CVPR, 2019)

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. - Zhezhi He; Adnan Siraj Rakin; Deliang Fan (CVPR, 2019)

AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM. - Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (DAC, 2019)

Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. - Zhezhi He; Jie Lin 004; Rickard Ewetz; Jiann-Shiun Yuan; Deliang Fan (DAC, 2019)

GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM. - Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (DATE, 2019)

Artificial Neuron using Ag/2D-MoS2/Au Threshold Switching Memristor. - Durjoy Dev; Adithi Krishnaprasad; Zhezhi He; Sonali Das; Mashiyat Sumaiya Shawkat; Madison Manley; Olaleye Aina; Deliang Fan; Yeonwoong Jung; Tania Roy (DRC, 2019)

GraphiDe: A Graph Processing Accelerator leveraging In-DRAM-Computing. - Shaahin Angizi; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2019)

Binarized Depthwise Separable Neural Network for Object Tracking in FPGA. - Li Yang 009; Zhezhi He; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2019)

ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations. - Shaahin Angizi; Deliang Fan (ICCAD, 2019)

Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. - Adnan Siraj Rakin; Zhezhi He; Deliang Fan (ICCV, 2019)

Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Effciency, and Power-Intermittency Resilience. - Arman Roohi; Shaahin Angizi; Deliang Fan; Ronald F. DeMara (ISQED, 2019)

Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? - Shaahin Angizi; Zhezhi He; Dayane Alfenas Reis; Xiaobo Sharon Hu; Wilman Tsai; Shy Jay Lin; Deliang Fan (ISVLSI, 2019)

Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector. - Adnan Siraj Rakin; Deliang Fan (ISVLSI, 2019)

Deep Neural Network Acceleration in Non-Volatile Memory: A Digital Approach. - Shaahin Angizi; Deliang Fan (NANOARCH, 2019)

Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. - Zhezhi He; Boqing Gong; Deliang Fan (WACV, 2019)

Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. - Adnan Siraj Rakin; Zhezhi He; Deliang Fan (CoRR, 2019)

Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform. - Shaahin Angizi; Deliang Fan (CoRR, 2019)

Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience. - Arman Roohi; Shaahin Angizi; Deliang Fan; Ronald F. DeMara (CoRR, 2019)

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. - Adnan Siraj Rakin; Zhezhi He; Li Yang 009; Yanzhi Wang; Liqiang Wang 001; Deliang Fan (CoRR, 2019)

Defending Against Adversarial Attacks Using Random Forests. - Yifan Ding; Liqiang Wang 001; Huan Zhang 001; Jinfeng Yi; Deliang Fan; Boqing Gong (CoRR, 2019)

Non-structured DNN Weight Pruning Considered Harmful. - Yanzhi Wang; Shaokai Ye; Zhezhi He; Xiaolong Ma; Linfeng Zhang 001; Sheng Lin 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; et al. (CoRR, 2019)

Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. - Li Yang 009; Zhezhi He; Deliang Fan (AAAI, 2020)

A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. - Li Yang 009; Shaahin Angizi; Deliang Fan (ASP-DAC, 2020)

Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. - Baogang Zhang; Necati Uysal; Deliang Fan; Rickard Ewetz (ASP-DAC, 2020)

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. - Zhezhi He; Adnan Siraj Rakin; Jingtao Li; Chaitali Chakrabarti; Deliang Fan (CVPR, 2020)

TBT: Targeted Neural Network Attack With Bit Trojan. - Adnan Siraj Rakin; Zhezhi He; Deliang Fan (CVPR, 2020)

PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. - Shaahin Angizi; Naima Ahmed Fahmi; Wei Zhang 076; Deliang Fan (DAC, 2020)

Defending Bit-Flip Attack through DNN Weight Reconstruction. - Jingtao Li; Adnan Siraj Rakin; Yan Xiong 002; Liangliang Chang; Zhezhi He; Deliang Fan; Chaitali Chakrabarti (DAC, 2020)

Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. - Li Yang 009; Zhezhi He; Yu Cao 001; Deliang Fan (DAC, 2020)

PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment. - Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (DATE, 2020)

Exploring DNA Alignment-in-Memory Leveraging Emerging SOT-MRAM. - Shaahin Angizi; Wei Zhang 076; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2020)

Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. - Adnan Siraj Rakin; Zhezhi He; Li Yang 009; Yanzhi Wang; Liqiang Wang 001; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2020)

Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. - Dayane Reis; Di Gao; Shaahin Angizi; Xunzhao Yin; Deliang Fan; Michael T. Niemier; Cheng Zhuo; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2020)

Redundant Neurons and Shared Redundant Synapses for Robust Memristor-based DNNs with Reduced Overhead. - Baogang Zhang; Necati Uysal; Deliang Fan; Rickard Ewetz (ACM Great Lakes Symposium on VLSI, 2020)

FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface. - Mingyen Lee; Wenjun Tang; Bowen Xue; Juejian Wu; Mingyuan Ma; Yu Wang 002; Yongpan Liu; Deliang Fan; Vijaykrishnan Narayanan; Huazhong Yang; Xueqing Li 002 (ISLPED, 2020)

Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. - Li Yang 009; Zhezhi He; Shaahin Angizi; Deliang Fan (SoCC, 2020)

DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. - Fan Yao; Adnan Siraj Rakin; Deliang Fan (USENIX Security Symposium, 2020)

Network-based multi-task learning models for biomarker selection and cancer outcome prediction. - Zhibo Wang; Zhezhi He; Milan Shah; Teng Zhang 002; Deliang Fan; Wei Zhang 076 (Bioinform., 2020)

Editorial for the special issue on disruptive computing technologies. - Yiran Chen 001; Deliang Fan; Yanzhi Wang; Shigeru Yamashita (CCF Trans. High Perform. Comput., 2020)

PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly. - Shaahin Angizi; Naima Ahmed Fahmi; Wei Zhang 076; Deliang Fan (CoRR, 2020)

A Progressive Sub-Network Searching Framework for Dynamic Inference. - Li Yang 009; Zhezhi He; Yu Cao 001; Deliang Fan (CoRR, 2020)

MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs. - Shaahin Angizi; Navid Khoshavi; Andrew Marshall; Peter Dowben; Deliang Fan (CoRR, 2020)

DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. - Li Yang 009; Adnan Siraj Rakin; Deliang Fan (CoRR, 2020)

Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. - Zhezhi He; Li Yang 009; Shaahin Angizi; Adnan Siraj Rakin; Deliang Fan (ACM J. Emerg. Technol. Comput. Syst., 2020)

ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. - Arman Roohi; Shadi Sheikhfaal; Shaahin Angizi; Deliang Fan; Ronald F. DeMara (IEEE Trans. Computers, 2020)

MRIMA: An MRAM-Based In-Memory Accelerator. - Shaahin Angizi; Zhezhi He; Amro Awad; Deliang Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Handling Stuck-at-Fault Defects Using Matrix Transformation for Robust Inference of DNNs. - Baogang Zhang; Necati Uysal; Deliang Fan; Rickard Ewetz (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Dynamic Neural Network to Enable Run-Time Trade-off between Accuracy and Latency. - Li Yang 009; Deliang Fan (ASP-DAC, 2021)

KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. - Li Yang 009; Zhezhi He; Junshan Zhang; Deliang Fan (CVPR, 2021)

Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. - Sai Kiran Cherupally; Adnan Siraj Rakin; Shihui Yin; Mingoo Seok; Deliang Fan; Jae-sun Seo (DAC, 2021)

Max-PIM: Fast and Efficient Max/Min Searching in DRAM. - Fan Zhang 069; Shaahin Angizi; Deliang Fan (DAC, 2021)

PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. - Fan Zhang 069; Shaahin Angizi; Naima Ahmed Fahmi; Wei Zhang 076; Deliang Fan (DAC, 2021)

RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. - Jingtao Li; Adnan Siraj Rakin; Zhezhi He; Deliang Fan; Chaitali Chakrabarti (DATE, 2021)

Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study. - Shaahin Angizi; Arman Roohi; MohammadReza Taheri; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2021)

NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. - Jingtao Li; Zhezhi He; Adnan Siraj Rakin; Deliang Fan; Chaitali Chakrabarti (HOST, 2021)

RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. - Arman Roohi; MohammadReza Taheri; Shaahin Angizi; Deliang Fan (ICCAD, 2021)

Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing. - Wangxin He; Wonbo Shim; Shihui Yin; Xiaoyu Sun 001; Deliang Fan; Shimeng Yu; Jae-sun Seo (IRPS, 2021)

MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. - Sen Lin 001; Li Yang 009; Zhezhi He; Deliang Fan; Junshan Zhang (MASS, 2021)

Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. - Adnan Siraj Rakin; Yukui Luo; Xiaolin Xu 001; Deliang Fan (USENIX Security Symposium, 2021)

Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. - Jingbo Sun; Li Yang 009; Jiaxin Zhang 005; Frank Liu 001; Mahantesh Halappanavar; Deliang Fan; Yu Cao 001 (CSSL, 2021)

RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. - Adnan Siraj Rakin; Li Yang 009; Jingtao Li; Fan Yao; Chaitali Chakrabarti; Yu Cao 001; Jae-sun Seo; Deliang Fan (CoRR, 2021)

GROWN: GRow Only When Necessary for Continual Learning. - Li Yang 009; Sen Lin 001; Junshan Zhang; Deliang Fan (CoRR, 2021)

Resilient and Secure Hardware Devices Using ASL. - Qutaiba Alasad; Jie Lin 004; Jiann-Shuin Yuan; Deliang Fan; Amro Awad (ACM J. Emerg. Technol. Comput. Syst., 2021)

Reducing SRAM Reading Power With Column Data Segment and Weights Correlation Enhancement for CNN Processing. - Han Xu 006; Ziwei Li; Ziru Li; Deliang Fan; Fei Qiao; Qi Wei 001; Li Luo; Xinjun Liu; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates. - Honglan Jiang; Shaahin Angizi; Deliang Fan; Jie Han 001; Leibo Liu (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks. - Jian Meng; Li Yang 009; Xiaochen Peng; Shimeng Yu; Deliang Fan; Jae-Sun Seo (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. - Jingbo Sun; Li Yang 009; Jiaxin Zhang 005; Frank Liu 001; Mahantesh Halappanavar; Deliang Fan; Yu Cao 001 (AAAI, 2022)

Efficient Multi-task Adaption for Crossbar-based In-Memory Computing. - Fan Zhang 069; Li Yang 009; Deliang Fan (IEEECONF, 2022)

XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. - Fan Zhang 069; Li Yang 009; Jian Meng; Yu Kevin Cao; Jae-sun Seo; Deliang Fan (ASP-DAC, 2022)

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. - Jingtao Li; Adnan Siraj Rakin; Xing Chen 009; Zhezhi He; Deliang Fan; Chaitali Chakrabarti (CVPR, 2022)

Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. - Jian Meng; Li Yang 009; Jinwoo Shin; Deliang Fan; Jae-Sun Seo (CVPR, 2022)

DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning. - Li Yang 009; Adnan Siraj Rakin; Deliang Fan (CVPR Workshops, 2022)

RepNet: Efficient On-Device Learning via Feature Reprogramming. - Li Yang 009; Adnan Siraj Rakin; Deliang Fan (CVPR, 2022)

XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. - Fan Zhang 069; Li Yang 009; Jian Meng; Jae-sun Seo; Yu Kevin Cao; Deliang Fan (DAC, 2022)

XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. - Fan Zhang 069; Li Yang 009; Jian Meng; Jae-Sun Seo; Yu Cao 001; Deliang Fan (DATE, 2022)

A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm. - Amitesh Sridharan; Shaahin Angizi; Sai Kiran Cherupally; Fan Zhang 069; Jae-Sun Seo; Deliang Fan (ESSCIRC, 2022)

Session details: Session 1B: Emerging Computing and Post-CMOS Technologies. - Deliang Fan (ACM Great Lakes Symposium on VLSI, 2022)

MnM: A Fast and Efficient Min/Max Searching in MRAM. - Amitesh Sridharan; Fan Zhang 069; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2022)

TRGP: Trust Region Gradient Projection for Continual Learning. - Sen Lin 001; Li Yang 009; Deliang Fan; Junshan Zhang (ICLR, 2022)

Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference. - Jian Meng; Injune Yeo; Wonbo Shim; Li Yang 009; Deliang Fan; Shimeng Yu; Jae-Sun Seo (IRPS, 2022)

Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. - Sen Lin 001; Li Yang 009; Deliang Fan; Junshan Zhang (NeurIPS, 2022)

Get More at Once: Alternating Sparse Training with Gradient Correction. - Li Yang 009; Jian Meng; Jae-sun Seo; Deliang Fan (NeurIPS, 2022)

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. - Adnan Siraj Rakin; Md Hafizul Islam Chowdhuryy; Fan Yao; Deliang Fan (SP, 2022)

APA-Scan: detection and visualization of 3′-UTR alternative polyadenylation with RNA-seq and 3′-end-seq data. - Naima Ahmed Fahmi; Khandakar Tanvir Ahmed; Jae-Woong Chang; Heba Nassereddeen; Deliang Fan; Jeongsik Yong; Wei Zhang 076 (BMC Bioinform., 2022)

Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection. - Sai Kiran Cherupally; Jian Meng; Adnan Siraj Rakin; Shihui Yin; Mingoo Seok; Deliang Fan; Jae-Sun Seo (IEEE Des. Test, 2022)

Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference. - Jian Meng; Wonbo Shim; Li Yang 009; Injune Yeo; Deliang Fan; Shimeng Yu; Jae-sun Seo (IEEE Micro, 2022)

T-BFA: Targeted Bit-Flip Adversarial Weight Attack. - Adnan Siraj Rakin; Zhezhi He; Jingtao Li; Fan Yao; Chaitali Chakrabarti; Deliang Fan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. - Gokul Krishnan; Li Yang 009; Jingbo Sun; Jubin Hazra; Xiaocong Du; Maximilian Liehr; Zheng Li 020; Karsten Beckmann; Rajiv V. Joshi; Nathaniel C. Cady; Deliang Fan; Yu Cao 001 (IEEE Trans. Computers, 2022)

Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. - Gokul Krishnan; Zhenyu Wang; Injune Yeo; Li Yang 009; Jian Meng; Maximilian Liehr; Rajiv V. Joshi; Nathaniel C. Cady; Deliang Fan; Jae-Sun Seo; Yu Cao 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? - Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Zhezhi He; Linfeng Zhang 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; Kaisheng Ma; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET. - Shaahin Angizi; Navid Khoshavi; Andrew Marshall; Peter Dowben; Deliang Fan (ACM Trans. Design Autom. Electr. Syst., 2022)

DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications. - Amitesh Sridharan; Fan Zhang 069; Yang Sui; Bo Yuan 001; Deliang Fan (DAC, 2023)

FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro. - Jyotishman Saikia; Amitesh Sridharan; Injune Yeo; Shreyas K. Venkataramanaiah; Deliang Fan; Jae-Sun Seo (ESSCIRC, 2023)

A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. - Fan Zhang 069; Wangxin He; Injune Yeo; Maximilian Liehr; Nathaniel C. Cady; Yu Cao 001; Jae-Sun Seo; Deliang Fan (ESSCIRC, 2023)

Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study. - Nakul Kochar; Lucas Ekiert; Deniz Najafi; Deliang Fan; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2023)

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training. - Jian Meng; Li Yang 009; Kyungmin Lee; Jinwoo Shin; Deliang Fan; Jae-sun Seo (NeurIPS, 2023)

Model Extraction Attacks on Split Federated Learning. - Jingtao Li; Adnan Siraj Rakin; Xing Chen 009; Li Yang 009; Zhezhi He; Deliang Fan; Chaitali Chakrabarti (CoRR, 2023)

MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. - Yongjae Lee; Li Yang 009; Deliang Fan (CoRR, 2023)

Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. - Fan Zhang 069; Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. - Jingtao Li; Xing Chen 009; Li Yang 009; Adnan Siraj Rakin; Deliang Fan; Chaitali Chakrabarti (AAAI, 2024)

SP-IMC: A Sparsity Aware In-Memory-Computing Macro in 28nm CMOS with Configurable Sparse Representation for Highly Sparse DNN Workloads. - Amitesh Sridharan; Fan Zhang 069; Jae-Sun Seo; Deliang Fan (CICC, 2024)

Hyb-Learn: A Framework for On-Device Self-Supervised Continual Learning with Hybrid RRAM/SRAM Memory. - Fan Zhang 069; Li Yang 009; Deliang Fan (DAC, 2024)

Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning. - Fan Zhang 069; Amitesh Sridharan; Wilman Tsai; Yiran Chen 001; Shan X. Wang; Deliang Fan (DAC, 2024)

Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference. - Qilin Zheng; Ziru Li; Jonathan Ku; Yitu Wang; Brady Taylor; Deliang Fan; Yiran Chen 001 (DAC, 2024)

LP-3DGS: Learning to Prune 3D Gaussian Splatting. - Zhaoliang Zhang; Tianchen Song; Yongjae Lee; Li Yang 009; Cheng Peng 008; Rama Chellappa; Deliang Fan (NeurIPS, 2024)

DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. - Yukui Luo; Adnan Siraj Rakin; Deliang Fan; Xiaolin Xu 001 (SP, 2024)

SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction. - Yongjae Lee; Zhaoliang Zhang; Deliang Fan (CoRR, 2024)

Guest Editorial IEEE Transactions on Emerging Topics in Special Section on Emerging In-Memory Computing Architectures and Applications. - Alberto Bosio; Ronald F. DeMara; Deliang Fan; Nima TaheriNejad (IEEE Trans. Emerg. Top. Comput., 2024)

A Progressive Subnetwork Searching Framework for Dynamic Inference. - Li Yang 009; Zhezhi He; Yu Cao 001; Deliang Fan (IEEE Trans. Neural Networks Learn. Syst., 2024)

A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. - Fan Zhang 069; Amitesh Sridharan; Wangxin He; Injune Yeo; Maximilian Liehr; Wei Zhang 076; Nathaniel C. Cady; Yu Cao 001; Jae-Sun Seo; Deliang Fan (IEEE J. Solid State Circuits, 2024)

On-Device Continual Learning With STT-Assisted-SOT MRAM-Based In-Memory Computing. - Fan Zhang 069; Amitesh Sridharan; William Hwang; Fen Xue; Wilman Tsai; Shan X. Wang; Deliang Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Learning to Prune and Low-Rank Adaptation for Compact Language Model Deployment. - Asmer Hamid Ali; Fan Zhang 069; Li Yang 009; Deliang Fan (ASP-DAC, 2025)

Speedy MASt3R. - Jingxing Li; Yongjae Lee; Deliang Fan; Abhay Kumar Yadav; Cheng Peng 008; Rama Chellappa (COINS, 2025)

Closest Neighbors are Harmful for Lightweight Masked Auto-encoders. - Jian Meng; Ahmed Hassan; Li Yang 009; Deliang Fan; Jinwoo Shin; Jae-sun Seo (CVPR, 2025)

FP-SMR: A Fully Digital Floating-Point Processing-in-SAS-MRAM for Session-based Recommender System. - Asmer Hamid Ali; Amitesh Sridharan; Cheng Guo; William Hwang; Wilman Tsai; Jeff Zhang 001; Yiran Chen 001; Shan X. Wang; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2025)

LoRAFusion: A Crossbar-aware Multi-task Adaption Framework via Efficient Fusion of Pretrained LoRA Modules. - Jingkai Guo; Asmer Hamid Ali; Li Yang 009; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2025)

Efficient Self-Supervised Continual Learning with Progressive Task-Correlated Layer Freezing. - Li Yang 009; Sen Lin 001; Fan Zhang 069; Junshan Zhang; Deliang Fan (ISQED, 2025)

MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. - Yongjae Lee; Li Yang 009; Deliang Fan (WACV, 2025)

HeteroSFL: Split Federated Learning With Heterogeneous Clients and Non-IID Data. - Xing Chen 009; Jingtao Li; Deliang Fan; Chaitali Chakrabarti (IEEE Internet Things J., 2025)

Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers. - Mark Horton; Tergel Molom-Ochir; Peter Liu; Bhavna Gopal; Chiyue Wei; Cong Guo 003; Brady Taylor; Deliang Fan; Shan X. Wang; Hai Li 001; Yiran Chen 001 (CoRR, 2025)