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Zhezhi He
Publications
- 2024
- [j13]Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
A Progressive Subnetwork Searching Framework for Dynamic Inference. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3809-3820 (2024) - 2023
- [i21]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
Model Extraction Attacks on Split Federated Learning. CoRR abs/2303.08581 (2023) - 2022
- [j10]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): 7928-7939 (2022) - [j9]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): 4930-4944 (2022) - [c61]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: 10184-10192 - [i19]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 abs/2205.04007 (2022) - 2021
- [c52]Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan:
KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. CVPR 2021: 13845-13853 - [c50]Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE 2021: 790-795 - [c47]Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST 2021: 248-258 - [c41]Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang:
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS 2021: 164-172 - [i18]Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR abs/2101.08254 (2021) - [i16]Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR abs/2107.09789 (2021) - 2020
- [j6]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): 1814-1822 (2020) - [j5]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): 15:1-15:24 (2020) - [j4]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): 1123-1136 (2020) - [c39]Li Yang, Zhezhi He, Deliang Fan:
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. AAAI 2020: 6623-6630 - [c38]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack With Bit Trojan. CVPR 2020: 13195-13204 - [c37]Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan:
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR 2020: 14083-14091 - [c36]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: 1-6 - [c35]Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. DAC 2020: 1-6 - [c34]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: 125-130 - [c33]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: 117-122 - [i14]Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR abs/2007.12336 (2020) - [i13]Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan:
KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. CoRR abs/2009.05668 (2020) - [i12]Li Yang, Zhezhi He, Yu Cao, Deliang Fan:
A Progressive Sub-Network Searching Framework for Dynamic Inference. CoRR abs/2009.05681 (2020) - [i11]Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang:
MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR abs/2011.12511 (2020) - 2019
- [c32]Shaahin Angizi, Zhezhi He, Deliang Fan:
ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. ASP-DAC 2019: 127-132 - [c31]Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR 2019: 588-597 - [c30]Zhezhi He, Deliang Fan:
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. CVPR 2019: 11438-11446 - [c29]Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan:
Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. DAC 2019: 57 - [c28]Durjoy Dev, Adithi Krishnaprasad, Zhezhi He, Sonali Das, Mashiyat Sumaiya Shawkat, Madison Manley, Olaleye Aina, Deliang Fan, Yeonwoong Jung, Tania Roy:
Artificial Neuron using Ag/2D-MoS2/Au Threshold Switching Memristor. DRC 2019: 193-194 - [c27]Li Yang, Zhezhi He, Deliang Fan:
Binarized Depthwise Separable Neural Network for Object Tracking in FPGA. ACM Great Lakes Symposium on VLSI 2019: 347-350 - [c26]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV 2019: 1211-1220 - [c25]Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan:
Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI 2019: 197-202 - [c24]Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. WACV 2019: 913-921 - [i10]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR abs/1903.12269 (2019) - [i9]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR abs/1905.13074 (2019) - [i8]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:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i7]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack with Bit Trojan. CoRR abs/1909.05193 (2019) - 2018
- [j3]Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan:
Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(9): 1788-1801 (2018) - [j2]Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan:
Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. IEEE Trans. Multi Scale Comput. Syst. 4(4): 676-685 (2018) - [c23]Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan:
IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. ASP-DAC 2018: 111-116 - [c22]Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan:
HielM: Highly flexible in-memory computing using STT MRAM. ASP-DAC 2018: 361-366 - [c21]Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC 2018: 105:1-105:6 - [c20]Shaahin Angizi, Zhezhi He, Deliang Fan:
PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. DAC 2018: 162:1-162:6 - [c19]Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan:
Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI 2018: 397-402 - [c18]Shaahin Angizi, Zhezhi He, Deliang Fan:
DIMA: a depthwise CNN in-memory accelerator. ICCAD 2018: 122 - [c17]Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan:
PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD 2018: 266-273 - [c16]Li Yang, Zhezhi He, Deliang Fan:
A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. ISLPED 2018: 50:1-50:6 - [c15]Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan:
BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI 2018: 130-135 - [c14]Zhezhi He, Shaahin Angizi, Deliang Fan:
Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. ISVLSI 2018: 533-538 - [i6]Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan:
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR abs/1802.01549 (2018) - [i5]Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. CoRR abs/1807.07948 (2018) - [i4]Zhezhi He, Deliang Fan:
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation. CoRR abs/1810.01018 (2018) - [i3]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR abs/1811.09310 (2018) - 2017
- [j1]Zhezhi He, Deliang Fan:
Energy Efficient Reconfigurable Threshold Logic Circuit with Spintronic Devices. IEEE Trans. Emerg. Top. Comput. 5(2): 223-237 (2017) - [c13]Zhezhi He, Deliang Fan:
A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. DATE 2017: 350-355 - [c12]Shaahin Angizi, Zhezhi He, Deliang Fan:
Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. ACM Great Lakes Symposium on VLSI 2017: 77-82 - [c11]Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan:
Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. ACM Great Lakes Symposium on VLSI 2017: 83-88 - [c10]Zhezhi He, Shaahin Angizi, Deliang Fan:
Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. ICCD 2017: 439-446 - [c9]Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan:
Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. ISCAS 2017: 1-4 - [c8]Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan:
Low power in-memory computing based on dual-mode SOT-MRAM. ISLPED 2017: 1-6 - [c7]Shaahin Angizi, Zhezhi He, Ronald F. DeMara, Deliang Fan:
Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. ISQED 2017: 391-396 - [c6]Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan:
RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. ISVLSI 2017: 45-50 - [c5]Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan:
Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. ISVLSI 2017: 152-157 - [c4]Deliang Fan, Shaahin Angizi, Zhezhi He:
In-Memory Computing with Spintronic Devices. ISVLSI 2017: 683-688 - [c3]Deliang Fan, Zhezhi He, Shaahin Angizi:
Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network. MWSCAS 2017: 1109-1112 - [c2]Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan:
High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. NANOARCH 2017: 97-102 - [i2]Zhezhi He, Shaahin Angizi, Deliang Fan:
Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. CoRR abs/1702.04814 (2017) - [i1]Zhezhi He, Deliang Fan:
Developing All-Skyrmion Spiking Neural Network. CoRR abs/1705.02995 (2017) - 2016
- [c1]Zhezhi He, Deliang Fan:
A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator. ISLPED 2016: 314-319
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