Deliang Fan

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 176

Top Venues

CoRR

ACM Great Lakes Symposium on VLSI

DAC

ASP-DAC

Publications

Li Yang, Zhezhi He, Yu Cao, Deliang Fan
A Progressive Subnetwork Searching Framework for Dynamic Inference. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
LP-3DGS: Learning to Prune 3D Gaussian Splatting. CoRR (2024)
Fan Zhang, Amitesh Sridharan, Wangxin He, Injune Yeo, Maximilian Liehr, Wei Zhang, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan
A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. IEEE J. Solid State Circuits 59 (7) (2024)
Yongjae Lee, Zhaoliang Zhang, Deliang Fan
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction. CoRR (2024)
Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI (2024)
Alberto Bosio, Ronald F. DeMara, Deliang Fan, Nima TaheriNejad
Guest Editorial IEEE Transactions on Emerging Topics in Special Section on Emerging In-Memory Computing Architectures and Applications. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Amitesh Sridharan, Fan Zhang, Jae-Sun Seo, Deliang Fan
SP-IMC: A Sparsity Aware In-Memory-Computing Macro in 28nm CMOS with Configurable Sparse Representation for Highly Sparse DNN Workloads. CICC (2024)
Fan Zhang, Amitesh Sridharan, William Hwang, Fen Xue, Wilman Tsai, Shan X. Wang, Deliang Fan
On-Device Continual Learning With STT-Assisted-SOT MRAM-Based In-Memory Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (8) (2024)
Amitesh Sridharan, Fan Zhang, Yang Sui, Bo Yuan, Deliang Fan
DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications. DAC (2023)
Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training. NeurIPS (2023)
Fan Zhang, Wangxin He, Injune Yeo, Maximilian Liehr, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan
A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. ESSCIRC (2023)
Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan
Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing. CoRR (2023)
Jyotishman Saikia, Amitesh Sridharan, Injune Yeo, Shreyas K. Venkataramanaiah, Deliang Fan, Jae-Sun Seo
FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro. ESSCIRC (2023)
Yongjae Lee, Li Yang, Deliang Fan
MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. CoRR (2023)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
Model Extraction Attacks on Split Federated Learning. CoRR (2023)
Fan Zhang, Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan
Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Nakul Kochar, Lucas Ekiert, Deniz Najafi, Deliang Fan, Shaahin Angizi
Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study. ACM Great Lakes Symposium on VLSI (2023)
Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-Sun Seo
Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection. IEEE Des. Test 39 (4) (2022)
Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Fan Zhang, Li Yang, Deliang Fan
Efficient Multi-task Adaption for Crossbar-based In-Memory Computing. IEEECONF (2022)
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
TRGP: Trust Region Gradient Projection for Continual Learning. CoRR (2022)
Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan
MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET. ACM Trans. Design Autom. Electr. Syst. 27 (2) (2022)
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
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Fan Zhang, Li Yang, Jian Meng, Yu Kevin Cao, Jae-sun Seo, Deliang Fan
XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. ASP-DAC (2022)
Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. AAAI (2022)
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. NeurIPS (2022)
Amitesh Sridharan, Fan Zhang, Deliang Fan
MnM: A Fast and Efficient Min/Max Searching in MRAM. ACM Great Lakes Symposium on VLSI (2022)
Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. CVPR (2022)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR (2022)
Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, Jae-Sun Seo
Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference. IRPS (2022)
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
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers 71 (11) (2022)
Deliang Fan
Session details: Session 1B: Emerging Computing and Post-CMOS Technologies. ACM Great Lakes Symposium on VLSI (2022)
Li Yang, Adnan Siraj Rakin, Deliang Fan
: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning. CVPR Workshops (2022)
Li Yang, Adnan Siraj Rakin, Deliang Fan
RepNet: Efficient On-Device Learning via Feature Reprogramming. CVPR (2022)
Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. IEEE Symposium on Security and Privacy (2022)
Amitesh Sridharan, Shaahin Angizi, Sai Kiran Cherupally, Fan Zhang, Jae-Sun Seo, Deliang Fan
A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm. ESSCIRC (2022)
Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Kevin Cao, Deliang Fan
XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. DAC (2022)
Jian Meng, Wonbo Shim, Li Yang, Injune Yeo, Deliang Fan, Shimeng Yu, Jae-sun Seo
Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference. IEEE Micro 42 (1) (2022)
Fan Zhang, Li Yang, Jian Meng, Jae-Sun Seo, Yu Cao, Deliang Fan
XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. DATE (2022)
Naima Ahmed Fahmi, Khandakar Tanvir Ahmed, Jae-Woong Chang, Heba Nassereddeen, Deliang Fan, Jeongsik Yong, Wei Zhang
APA-Scan: detection and visualization of 3′-UTR alternative polyadenylation with RNA-seq and 3′-end-seq data. BMC Bioinform. (3) (2022)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR (2022)
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
TRGP: Trust Region Gradient Projection for Continual Learning. ICLR (2022)
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
Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. CoRR (2022)
Li Yang, Jian Meng, Jae-sun Seo, Deliang Fan
Get More at Once: Alternating Sparse Training with Gradient Correction. NeurIPS (2022)
Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. CoRR (2021)
Han Xu, Ziwei Li, Ziru Li, Deliang Fan, Fei Qiao, Qi Wei, Li Luo, Xinjun Liu, Huazhong Yang
Reducing SRAM Reading Power With Column Data Segment and Weights Correlation Enhancement for CNN Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (11) (2021)
Li Yang, Deliang Fan
Dynamic Neural Network to Enable Run-Time Trade-off between Accuracy and Latency. ASP-DAC (2021)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR (2021)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR (2021)
Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo
Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. DAC (2021)
Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. CSSL (2021)
Jian Meng, Li Yang, Xiaochen Peng, Shimeng Yu, Deliang Fan, Jae-Sun Seo
Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 68 (5) (2021)
Fan Zhang, Shaahin Angizi, Deliang Fan
Max-PIM: Fast and Efficient Max/Min Searching in DRAM. DAC (2021)
Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. CoRR (2021)
Wangxin He, Wonbo Shim, Shihui Yin, Xiaoyu Sun, Deliang Fan, Shimeng Yu, Jae-sun Seo
Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing. IRPS (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST (2021)
Fan Zhang, Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan
PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. DAC (2021)
Arman Roohi, MohammadReza Taheri, Shaahin Angizi, Deliang Fan
RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. ICCAD (2021)
Shaahin Angizi, Arman Roohi, MohammadReza Taheri, Deliang Fan
Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study. ACM Great Lakes Symposium on VLSI (2021)
Li Yang, Sen Lin, Junshan Zhang, Deliang Fan
GROWN: GRow Only When Necessary for Continual Learning. CoRR (2021)
Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. CVPR (2021)
Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu
Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (3) (2021)
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS (2021)
Qutaiba Alasad, Jie Lin, Jiann-Shuin Yuan, Deliang Fan, Amro Awad
Resilient and Secure Hardware Devices Using ASL. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR (2021)
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. USENIX Security Symposium (2021)
Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR (2020)
Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan
PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. DAC (2020)
Shaahin Angizi, Wei Zhang, Deliang Fan
Exploring DNA Alignment-in-Memory Leveraging Emerging SOT-MRAM. ACM Great Lakes Symposium on VLSI (2020)
Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. 16 (2) (2020)
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR (2020)
Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC (2020)
Li Yang, Zhezhi He, Yu Cao, Deliang Fan
A Progressive Sub-Network Searching Framework for Dynamic Inference. CoRR (2020)
Li Yang, Zhezhi He, Yu Cao, Deliang Fan
Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. DAC (2020)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
TBT: Targeted Neural Network Attack With Bit Trojan. CVPR (2020)
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. CoRR (2020)
Yiran Chen, Deliang Fan, Yanzhi Wang, Shigeru Yamashita
Editorial for the special issue on disruptive computing technologies. CCF Trans. High Perform. Comput. 2 (3) (2020)
Zhibo Wang, Zhezhi He, Milan Shah, Teng Zhang, Deliang Fan, Wei Zhang
Network-based multi-task learning models for biomarker selection and cancer outcome prediction. Bioinform. 36 (6) (2020)
Arman Roohi, Shadi Sheikhfaal, Shaahin Angizi, Deliang Fan, Ronald F. DeMara
ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. IEEE Trans. Computers 69 (3) (2020)
Li Yang, Shaahin Angizi, Deliang Fan
A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. ASP-DAC (2020)
Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan
PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly. CoRR (2020)
Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan
PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment. DATE (2020)
Fan Yao, Adnan Siraj Rakin, Deliang Fan
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. USENIX Security Symposium (2020)
Mingyen Lee, Wenjun Tang, Bowen Xue, Juejian Wu, Mingyuan Ma, Yu Wang, Yongpan Liu, Deliang Fan, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li
FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface. ISLPED (2020)
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI (2020)
Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan
Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. SoCC (2020)
Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. ASP-DAC (2020)
Li Yang, Adnan Siraj Rakin, Deliang Fan
DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. CoRR (2020)
Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
Redundant Neurons and Shared Redundant Synapses for Robust Memristor-based DNNs with Reduced Overhead. ACM Great Lakes Symposium on VLSI (2020)
Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan
MRIMA: An MRAM-Based In-Memory Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (5) (2020)
Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz
Handling Stuck-at-Fault Defects Using Matrix Transformation for Robust Inference of DNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Fan Yao, Adnan Siraj Rakin, Deliang Fan
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. CoRR (2020)
Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR (2020)
Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan
MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs. CoRR (2020)
Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu
Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. ACM Great Lakes Symposium on VLSI (2020)
Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. CoRR (2020)
Li Yang, Zhezhi He, Deliang Fan
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. AAAI (2020)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
TBT: Targeted Neural Network Attack with Bit Trojan. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Deliang Fan