Deliang Fan - RankMe

215 papers A* 39A 20B 2C 4Journal 90Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Binary and Ternary Neural Networks and Their Realization in Compute-in-Memory for Edge Intelligence. IEEE Internet Things J. Dahoon Park, Hyungdong Park, Inguk Yeo, Jiyun Kim, Sunghyun Lee, Suhak Lee, Hyunseob Shin, Sung-Il Pae, Deliang Fan, Jaeha Kung, Kon-Woo Kwon
2026	J	`jnl`	SkipGS: Post-Densification Backward Skipping for Efficient 3DGS Training. CoRR Jingxing Li, Yongjae Lee, Deliang Fan
2026	J	`jnl`	TFL: Targeted Bit-Flip Attack on Large Language Model. CoRR Jingkai Guo, Chaitali Chakrabarti, Deliang Fan
2025	J	`jnl`	CAMformer: Associative Memory is All You Need. CoRR Tergel Molom-Ochir, Benjamin F. Morris III, Mark Horton, Chiyue Wei, Cong Guo, Brady Taylor, Peter Liu, Shan X. Wang, Deliang Fan, Hai Helen Li, Yiran Chen
2025	A*	`conf`	Closest Neighbors are Harmful for Lightweight Masked Auto-encoders. CVPR Jian Meng, Ahmed Hassan, Li Yang, Deliang Fan, Jinwoo Shin, Jae-sun Seo
2025	—	`conf`	Efficient Self-Supervised Continual Learning with Progressive Task-Correlated Layer Freezing. ISQED Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan
2025	—	`conf`	FP-SMR: A Fully Digital Floating-Point Processing-in-SAS-MRAM for Session-based Recommender System. ACM Great Lakes Symposium on VLSI Asmer Hamid Ali, Amitesh Sridharan, Cheng Guo, William Hwang, Wilman Tsai, Jeff Zhang, Yiran Chen, Shan X. Wang, Deliang Fan
2025	J	`jnl`	GeLoc3r: Enhancing Relative Camera Pose Regression with Geometric Consistency Regularization. CoRR Jingxing Li, Yongjae Lee, Deliang Fan
2025	J	`jnl`	Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers. CoRR Mark Horton, Tergel Molom-Ochir, Peter Liu, Bhavna Gopal, Chiyue Wei, Cong Guo, Brady Taylor, Deliang Fan, Shan X. Wang, Hai Li, Yiran Chen
2025	J	`jnl`	HeteroSFL: Split Federated Learning With Heterogeneous Clients and Non-IID Data. IEEE Internet Things J. Xing Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti
2025	—	`conf`	Learning to Prune and Low-Rank Adaptation for Compact Language Model Deployment. ASP-DAC Asmer Hamid Ali, Fan Zhang, Li Yang, Deliang Fan
2025	—	`conf`	LoRAFusion: A Crossbar-aware Multi-task Adaption Framework via Efficient Fusion of Pretrained LoRA Modules. ACM Great Lakes Symposium on VLSI Jingkai Guo, Asmer Hamid Ali, Li Yang, Deliang Fan
2025	A	`conf`	MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. WACV Yongjae Lee, Li Yang, Deliang Fan
2025	A*	`conf`	Phantom: Privacy-Preserving Deep Neural Network Model Obfuscation in Heterogeneous TEE and GPU System. USENIX Security Symposium Juyang Bai, Md Hafizul Islam Chowdhuryy, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
2025	J	`jnl`	SBFA: Single Sneaky Bit Flip Attack to Break Large Language Models. CoRR Jingkai Guo, Chaitali Chakrabarti, Deliang Fan
2025	—	`conf`	Speedy MASt3R. COINS Jingxing Li, Yongjae Lee, Deliang Fan, Abhay Kumar Yadav, Cheng Peng, Rama Chellappa
2025	J	`jnl`	Speedy MASt3R. CoRR Jingxing Li, Yongjae Lee, Abhay Kumar Yadav, Cheng Peng, Rama Chellappa, Deliang Fan
2025	A	`conf`	TEE-SFL: Time and Energy-efficient solution for addressing communication heterogeneity in Split Federated Learning Schemes. ISLPED Ziyi Zhao, Qifeng Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti
2024	J	`jnl`	A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. IEEE J. Solid State Circuits Fan Zhang, Amitesh Sridharan, Wangxin He, Injune Yeo, Maximilian Liehr, Wei Zhang, Nathaniel C. Cady, Yu Cao, Jae-sun Seo, Deliang Fan
2024	J	`jnl`	A Progressive Subnetwork Searching Framework for Dynamic Inference. IEEE Trans. Neural Networks Learn. Syst. Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2024	A*	`conf`	DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. SP Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu
2024	A*	`conf`	EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2024	A*	`conf`	Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning. DAC Fan Zhang, Amitesh Sridharan, Wilman Tsai, Yiran Chen, Shan X. Wang, Deliang Fan
2024	J	`jnl`	Guest Editorial IEEE Transactions on Emerging Topics in Special Section on Emerging In-Memory Computing Architectures and Applications. IEEE Trans. Emerg. Top. Comput. Alberto Bosio, Ronald F. DeMara, Deliang Fan, Nima Taherinejad
2024	A*	`conf`	Hyb-Learn: A Framework for On-Device Self-Supervised Continual Learning with Hybrid RRAM/SRAM Memory. DAC Fan Zhang, Li Yang, Deliang Fan
2024	A*	`conf`	Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference. DAC Qilin Zheng, Ziru Li, Jonathan Ku, Yitu Wang, Brady Taylor, Deliang Fan, Yiran Chen
2024	A*	`conf`	LP-3DGS: Learning to Prune 3D Gaussian Splatting. NeurIPS Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
2024	J	`jnl`	LP-3DGS: Learning to Prune 3D Gaussian Splatting. CoRR Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
2024	J	`jnl`	On-Device Continual Learning With STT-Assisted-SOT MRAM-Based In-Memory Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fan Zhang, Amitesh Sridharan, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Deliang Fan
2024	—	`conf`	SP-IMC: A Sparsity Aware In-Memory-Computing Macro in 28nm CMOS with Configurable Sparse Representation for Highly Sparse DNN Workloads. CICC Amitesh Sridharan, Fan Zhang, Jae-sun Seo, Deliang Fan
2024	J	`jnl`	SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction. CoRR Yongjae Lee, Zhaoliang Zhang, Deliang Fan
2023	—	`conf`	A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. ESSCIRC Fan Zhang, Wangxin He, Injune Yeo, Maximilian Liehr, Nathaniel C. Cady, Yu Cao, Jae-sun Seo, Deliang Fan
2023	—	`conf`	Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study. ACM Great Lakes Symposium on VLSI Nakul Kochar, Lucas Ekiert, Deniz Najafi, Deliang Fan, Shaahin Angizi
2023	J	`jnl`	Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. IEEE J. Emerg. Sel. Topics Circuits Syst. Fan Zhang, Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan
2023	A*	`conf`	DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications. DAC Amitesh Sridharan, Fan Zhang, Yang Sui, Bo Yuan, Deliang Fan
2023	J	`jnl`	Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing. CoRR Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan
2023	—	`conf`	FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro. ESSCIRC Jyotishman Saikia, Amitesh Sridharan, Injune Yeo, Shreyas K. Venkataramanaiah, Deliang Fan, Jae-sun Seo
2023	J	`jnl`	MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. CoRR Yongjae Lee, Li Yang, Deliang Fan
2023	J	`jnl`	Model Extraction Attacks on Split Federated Learning. CoRR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2023	A*	`conf`	Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training. NeurIPS Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo
2022	—	`conf`	A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm. ESSCIRC Amitesh Sridharan, Shaahin Angizi, Sai Kiran Cherupally, Fan Zhang, Jae-sun Seo, Deliang Fan
2022	J	`jnl`	APA-Scan: detection and visualization of 3′-UTR alternative polyadenylation with RNA-seq and 3′-end-seq data. BMC Bioinform. Naima Ahmed Fahmi, Khandakar Tanvir Ahmed, Jae-Woong Chang, Heba Nassereddeen, Deliang Fan, Jeongsik Yong, Wei Zhang
2022	A*	`conf`	Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. NeurIPS Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. CoRR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	A*	`conf`	Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. CVPR Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-sun Seo
2022	—	`conf`	DA CVPR Workshops Li Yang, Adnan Siraj Rakin, Deliang Fan
2022	A*	`conf`	DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. SP Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
2022	—	`conf`	Efficient Multi-task Adaption for Crossbar-based In-Memory Computing. IEEECONF Fan Zhang, Li Yang, Deliang Fan
2022	J	`jnl`	Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers Gokul Krishnan, Li Yang, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Yu Cao
2022	A*	`conf`	Get More at Once: Alternating Sparse Training with Gradient Correction. NeurIPS Li Yang, Jian Meng, Jae-sun Seo, Deliang Fan
2022	A*	`conf`	Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. AAAI Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2022	J	`jnl`	Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, Yu Cao
2022	J	`jnl`	Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection. IEEE Des. Test Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo
2022	J	`jnl`	MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET. ACM Trans. Design Autom. Electr. Syst. Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan
2022	—	`conf`	MnM: A Fast and Efficient Min/Max Searching in MRAM. ACM Great Lakes Symposium on VLSI Amitesh Sridharan, Fan Zhang, Deliang Fan
2022	J	`jnl`	Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang
2022	A*	`conf`	RepNet: Efficient On-Device Learning via Feature Reprogramming. CVPR Li Yang, Adnan Siraj Rakin, Deliang Fan
2022	A*	`conf`	ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022	J	`jnl`	ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022	—	`conf`	Session details: Session 1B: Emerging Computing and Post-CMOS Technologies. ACM Great Lakes Symposium on VLSI Deliang Fan
2022	—	`conf`	Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference. IRPS Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, Jae-sun Seo
2022	J	`jnl`	T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
2022	A*	`conf`	TRGP: Trust Region Gradient Projection for Continual Learning. ICLR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	TRGP: Trust Region Gradient Projection for Continual Learning. CoRR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference. IEEE Micro Jian Meng, Wonbo Shim, Li Yang, Injune Yeo, Deliang Fan, Shimeng Yu, Jae-sun Seo
2022	—	`conf`	XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. ASP-DAC Fan Zhang, Li Yang, Jian Meng, Yu Kevin Cao, Jae-sun Seo, Deliang Fan
2022	A*	`conf`	XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. DAC Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Kevin Cao, Deliang Fan
2022	A	`conf`	XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. DATE Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao, Deliang Fan
2021	—	`conf`	Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing. IRPS Wangxin He, Wonbo Shim, Shihui Yin, Xiaoyu Sun, Deliang Fan, Shimeng Yu, Jae-sun Seo
2021	A*	`conf`	Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. USENIX Security Symposium Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
2021	J	`jnl`	DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. CoRR Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
2021	—	`conf`	Dynamic Neural Network to Enable Run-Time Trade-off between Accuracy and Latency. ASP-DAC Li Yang, Deliang Fan
2021	J	`jnl`	GROWN: GRow Only When Necessary for Continual Learning. CoRR Li Yang, Sen Lin, Junshan Zhang, Deliang Fan
2021	J	`jnl`	Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. CoRR Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2021	A*	`conf`	KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. CVPR Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
2021	A*	`conf`	Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. DAC Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo
2021	A*	`conf`	Max-PIM: Fast and Efficient Max/Min Searching in DRAM. DAC Fan Zhang, Shaahin Angizi, Deliang Fan
2021	B	`conf`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2021	—	`conf`	NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates. IEEE Trans. Circuits Syst. I Regul. Pap. Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu
2021	A*	`conf`	PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. DAC Fan Zhang, Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan
2021	—	`conf`	Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study. ACM Great Lakes Symposium on VLSI Shaahin Angizi, Arman Roohi, MohammadReza Taheri, Deliang Fan
2021	J	`jnl`	RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan
2021	A	`conf`	RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2021	A	`conf`	RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. ICCAD Arman Roohi, MohammadReza Taheri, Shaahin Angizi, Deliang Fan
2021	J	`jnl`	Reducing SRAM Reading Power With Column Data Segment and Weights Correlation Enhancement for CNN Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Han Xu, Ziwei Li, Ziru Li, Deliang Fan, Fei Qiao, Qi Wei, Li Luo, Xinjun Liu, Huazhong Yang
2021	J	`jnl`	Resilient and Secure Hardware Devices Using ASL. ACM J. Emerg. Technol. Comput. Syst. Qutaiba Alasad, Jie Lin, Jiann-Shuin Yuan, Deliang Fan, Amro Awad
2021	—	`conf`	Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. CSSL Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2021	J	`jnl`	Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs Jian Meng, Li Yang, Xiaochen Peng, Shimeng Yu, Deliang Fan, Jae-sun Seo
2020	—	`conf`	A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. ASP-DAC Li Yang, Shaahin Angizi, Deliang Fan
2020	J	`jnl`	A Progressive Sub-Network Searching Framework for Dynamic Inference. CoRR Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2020	J	`jnl`	ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. IEEE Trans. Computers Arman Roohi, Shadi Sheikhfaal, Shaahin Angizi, Deliang Fan, Ronald F. DeMara
2020	J	`jnl`	DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. CoRR Li Yang, Adnan Siraj Rakin, Deliang Fan
2020	J	`jnl`	Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. CoRR Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
2020	A*	`conf`	DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. USENIX Security Symposium Fan Yao, Adnan Siraj Rakin, Deliang Fan
2020	J	`jnl`	DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. CoRR Fan Yao, Adnan Siraj Rakin, Deliang Fan
2020	A*	`conf`	Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2020	A*	`conf`	Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
2020	J	`jnl`	Editorial for the special issue on disruptive computing technologies. CCF Trans. High Perform. Comput. Yiran Chen, Deliang Fan, Yanzhi Wang, Shigeru Yamashita
2020	—	`conf`	Exploring DNA Alignment-in-Memory Leveraging Emerging SOT-MRAM. ACM Great Lakes Symposium on VLSI Shaahin Angizi, Wei Zhang, Deliang Fan
2020	A	`conf`	FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface. ISLPED Mingyen Lee, Wenjun Tang, Bowen Xue, Juejian Wu, Mingyuan Ma, Yu Wang, Yongpan Liu, Deliang Fan, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
2020	J	`jnl`	Handling Stuck-at-Fault Defects Using Matrix Transformation for Robust Inference of DNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
2020	A*	`conf`	Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. AAAI Li Yang, Zhezhi He, Deliang Fan
2020	J	`jnl`	KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. CoRR Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
2020	J	`jnl`	MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs. CoRR Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan
2020	J	`jnl`	MRIMA: An MRAM-Based In-Memory Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan
2020	J	`jnl`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2020	—	`conf`	Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. ACM Great Lakes Symposium on VLSI Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu
2020	J	`jnl`	Network-based multi-task learning models for biomarker selection and cancer outcome prediction. Bioinform. Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang
2020	A*	`conf`	Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. DAC Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2020	J	`jnl`	PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly. CoRR Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan
2020	A	`conf`	PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment. DATE Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan
2020	A*	`conf`	PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. DAC Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan
2020	—	`conf`	Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. SoCC Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan
2020	—	`conf`	Redundant Neurons and Shared Redundant Synapses for Robust Memristor-based DNNs with Reduced Overhead. ACM Great Lakes Symposium on VLSI Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
2020	—	`conf`	Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. ASP-DAC Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
2020	—	`conf`	Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2020	J	`jnl`	Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
2020	J	`jnl`	T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
2020	A*	`conf`	TBT: Targeted Neural Network Attack With Bit Trojan. CVPR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	J	`jnl`	Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform. CoRR Shaahin Angizi, Deliang Fan
2019	—	`conf`	Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan
2019	A*	`conf`	AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM. DAC Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan
2019	—	`conf`	Artificial Neuron using Ag/2D-MoS2/Au Threshold Switching Memristor. DRC Durjoy Dev, Adithi Krishnaprasad, Zhezhi He, Sonali Das, Mashiyat Sumaiya Shawkat, Madison Manley, Olaleye Aina, Deliang Fan, Yeonwoong Jung, Tania Roy
2019	—	`conf`	Binarized Depthwise Separable Neural Network for Object Tracking in FPGA. ACM Great Lakes Symposium on VLSI Li Yang, Zhezhi He, Deliang Fan
2019	A*	`conf`	Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	J	`jnl`	Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	—	`conf`	Deep Neural Network Acceleration in Non-Volatile Memory: A Digital Approach. NANOARCH Shaahin Angizi, Deliang Fan
2019	—	`conf`	Defending Against Adversarial Attacks Using Random Forest. CVPR Workshops Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong
2019	J	`jnl`	Defending Against Adversarial Attacks Using Random Forests. CoRR Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong
2019	—	`conf`	Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector. ISVLSI Adnan Siraj Rakin, Deliang Fan
2019	A	`conf`	GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM. DATE Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan
2019	—	`conf`	GraphiDe: A Graph Processing Accelerator leveraging In-DRAM-Computing. ACM Great Lakes Symposium on VLSI Shaahin Angizi, Deliang Fan
2019	—	`conf`	Handling stuck-at-faults in memristor crossbar arrays using matrix transformations. ASP-DAC Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
2019	A*	`conf`	Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. DAC Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan
2019	J	`jnl`	Non-structured DNN Weight Pruning Considered Harmful. CoRR Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma
2019	A	`conf`	Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. WACV Zhezhi He, Boqing Gong, Deliang Fan
2019	—	`conf`	ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. ASP-DAC Shaahin Angizi, Zhezhi He, Deliang Fan
2019	A*	`conf`	Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR Zhezhi He, Adnan Siraj Rakin, Deliang Fan
2019	—	`conf`	Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Effciency, and Power-Intermittency Resilience. ISQED Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara
2019	J	`jnl`	Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience. CoRR Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara
2019	A	`conf`	ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations. ICCAD Shaahin Angizi, Deliang Fan
2019	J	`jnl`	Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. CoRR Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
2019	J	`jnl`	Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2019	A*	`conf`	Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. CVPR Zhezhi He, Deliang Fan
2019	J	`jnl`	TBT: Targeted Neural Network Attack with Bit Trojan. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2018	A	`conf`	A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. ISLPED Li Yang, Zhezhi He, Deliang Fan
2018	A	`conf`	A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. WACV Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong
2018	J	`jnl`	A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. CoRR Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong
2018	—	`conf`	Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. ISVLSI Zhezhi He, Shaahin Angizi, Deliang Fan
2018	—	`conf`	BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
2018	J	`jnl`	Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan
2018	A*	`conf`	CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan
2018	A	`conf`	DIMA: a depthwise CNN in-memory accelerator. ICCAD Shaahin Angizi, Zhezhi He, Deliang Fan
2018	J	`jnl`	Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. CoRR Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan
2018	J	`jnl`	Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan
2018	J	`jnl`	Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. IEEE Trans. Multi Scale Comput. Syst. Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan
2018	—	`conf`	HielM: Highly flexible in-memory computing using STT MRAM. ASP-DAC Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan
2018	—	`conf`	IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. ASP-DAC Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan
2018	J	`jnl`	IMFlexCom: Energy Efficient In-Memory Flexible Computing Using Dual-Mode SOT-MRAM. ACM J. Emerg. Technol. Comput. Syst. Farhana Parveen, Shaahin Angizi, Deliang Fan
2018	—	`conf`	Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan
2018	J	`jnl`	Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. CoRR Zhezhi He, Boqing Gong, Deliang Fan
2018	C	`conf`	PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan
2018	A*	`conf`	PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. DAC Shaahin Angizi, Zhezhi He, Deliang Fan
2018	J	`jnl`	Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2018	J	`jnl`	Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation. CoRR Zhezhi He, Deliang Fan
2018	J	`jnl`	Stochastic-Based Synapse and Soft-Limiting Neuron with Spintronic Devices for Low Power and Robust Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. Yu Bai, Deliang Fan, Mingjie Lin
2017	A	`conf`	A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. DATE Zhezhi He, Deliang Fan
2017	—	`conf`	Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. ISQED Shaahin Angizi, Zhezhi He, Ronald F. DeMara, Deliang Fan
2017	J	`jnl`	Coupled Spin-Torque Nano-Oscillator-Based Computation: A Simulation Study. ACM J. Emerg. Technol. Comput. Syst. Karthik Yogendra, Chamika M. Liyanagedera, Deliang Fan, Yong Shim, Kaushik Roy
2017	J	`jnl`	Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. CoRR Zhezhi He, Shaahin Angizi, Deliang Fan
2017	A	`conf`	Design of accurate stochastic number generators with noisy emerging devices for stochastic computing. ICCAD Meng Yang, John P. Hayes, Deliang Fan, Weikang Qian
2017	J	`jnl`	Developing All-Skyrmion Spiking Neural Network. CoRR Zhezhi He, Deliang Fan
2017	C	`conf`	Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM. ICCD Deliang Fan, Shaahin Angizi
2017	—	`conf`	Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. ACM Great Lakes Symposium on VLSI Shaahin Angizi, Zhezhi He, Deliang Fan
2017	J	`jnl`	Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices. IEEE Trans. Emerg. Top. Comput. Zhezhi He, Deliang Fan
2017	C	`conf`	Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. ICCD Zhezhi He, Shaahin Angizi, Deliang Fan
2017	—	`conf`	High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. NANOARCH Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan
2017	—	`conf`	Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. ISVLSI Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan
2017	C	`conf`	Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. ISCAS Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan
2017	—	`conf`	IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network. NCS Shaahin Angizi, Deliang Fan
2017	—	`conf`	In-Memory Computing with Spintronic Devices. ISVLSI Deliang Fan, Shaahin Angizi, Zhezhi He
2017	—	`conf`	Leveraging All-Spin Logic to Improve Hardware Security. ACM Great Lakes Symposium on VLSI Qutaiba Alasad, Jiann-Shiun Yuan, Deliang Fan
2017	—	`conf`	Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. ACM Great Lakes Symposium on VLSI Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan
2017	—	`conf`	Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network. MWSCAS Deliang Fan, Zhezhi He, Shaahin Angizi
2017	A	`conf`	Low power in-memory computing based on dual-mode SOT-MRAM. ISLPED Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan
2017	—	`conf`	RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. ISVLSI Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan
2017	J	`jnl`	Survey of STT-MRAM Cell Design Strategies: Taxonomy and Sense Amplifier Tradeoffs for Resiliency. ACM J. Emerg. Technol. Comput. Syst. Soheil Salehi, Deliang Fan, Ronald F. DeMara
2017	J	`jnl`	Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Arman Roohi, Ramtin Zand, Deliang Fan, Ronald F. DeMara
2016	A	`conf`	A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator. ISLPED Zhezhi He, Deliang Fan
2016	—	`conf`	Computing with coupled Spin Torque Nano Oscillators. ASP-DAC Karthik Yogendra, Deliang Fan, Yong Shim, Minsuk Koo, Kaushik Roy
2016	J	`jnl`	Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. IEEE Trans. Neural Networks Learn. Syst. Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy
2016	—	`conf`	Low power in-memory computing platform with four Terminal magnetic Domain Wall Motion devices. NANOARCH Deliang Fan
2016	—	`conf`	Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. ASP-DAC Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy
2016	B	`conf`	Spin torque nano-oscillator based Oscillatory Neural Network. IJCNN Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan
2016	J	`jnl`	Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xuanyao Fong, Yusung Kim, Karthik Yogendra, Deliang Fan, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy
2016	—	`conf`	Ultra-Low Energy Reconfigurable Spintronic Threshold Logic Gate. ACM Great Lakes Symposium on VLSI Deliang Fan
2015	—	`—`	Boolean and brain-inspired computing using spin-transfer torque devices Deliang Fan
2015	J	`jnl`	Exploring Spin Transfer Torque Devices for Unconventional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. Kaushik Roy, Deliang Fan, Xuanyao Fong, Yusung Kim, Mrigank Sharad, Somnath Paul, Subho Chatterjee, Swarup Bhunia, Saibal Mukhopadhyay
2014	A	`conf`	Brain-inspired computing with spin torque devices. DATE Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra
2014	—	`conf`	Computing with Spin-Transfer-Torque Devices: Prospects and Perspectives. ISVLSI Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra
2014	J	`jnl`	Design and Synthesis of Ultra Low Energy Spin-Memristor Threshold Logic. CoRR Deliang Fan, Mrigank Sharad, Kaushik Roy
2014	J	`jnl`	Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. CoRR Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy
2014	J	`jnl`	STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks. CoRR Deliang Fan, Yong Shim, Anand Raghunathan, Kaushik Roy
2013	A	`conf`	Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. ISLPED Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra
2013	J	`jnl`	Exploring Boolean and Non-Boolean Computing Applications of Spin Torque Devices. CoRR Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra
2013	A	`conf`	Exploring Boolean and non-Boolean computing with spin torque devices. ICCAD Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra
2013	—	`conf`	Low power and compact mixed-mode signal processing hardware using spin-neurons. ISQED Mrigank Sharad, Deliang Fan, Kaushik Roy
2013	J	`jnl`	Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers. CoRR Mrigank Sharad, Deliang Fan, Kaushik Roy
2013	J	`jnl`	Ultra Low Power Associative Computing with Spin Neurons and Resistive Crossbar Memory CoRR Mrigank Sharad, Deliang Fan, Kaushik Roy
2013	A*	`conf`	Ultra low power associative computing with spin neurons and resistive crossbar memory. DAC Mrigank Sharad, Deliang Fan, Kaushik Roy
2013	J	`jnl`	Ultra-low Energy, High Performance and Programmable Magnetic Threshold Logic. CoRR Mrigank Sharad, Deliang Fan, Kaushik Roy
2013	J	`jnl`	Ultra-low Energy, High-Performance Dynamic Resistive Threshold Logic. CoRR Mrigank Sharad, Deliang Fan, Kaushik Roy