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ORCIDHai Helen Li
Hai (Helen) Li – Hai Li 0001
Person information
- affiliation: Duke University, Department of Electrical and Computer Engineering
- affiliation: University of Pittsburgh, Department of Electrical and Computer Engineering
- affiliation: NYU Polytechnic Institute, Department of Electrical and Computer Engineering
- affiliation: Seagate Technology LLC, Bloomington, USA
- affiliation: Intel Corporation, Santa Clara, USA
- affiliation: Qualcomm Inc., San Diego, USA
- affiliation: Purdue University, Electrical and Computer Engineering
Other persons with the same name
- Hai Li — disambiguation page
- Hai Li 0002 — National University of Defense Technology, Changsha, School of Computer
- Hai Li 0003 — University of Lancaster, Department of Computing (and 1 more)
- Hai Li 0004 — Plymouth University, School of Computing and Mathematics
- Hai Li 0005
![[0000-0002-6240-7688]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6240-7688")
— Beijing Institute of Technology, School of Information and Electronics, China - Hai Li 0006 — Weill Cornell Medicical College, Houston, Methodist Hospital Research Institute (and 2 more)
- Hai Li 0007 — University of East Anglia, Norwich, UK
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2020 – today
- 2023
[j76]Charles Augustine, Hai Helen Li:
ISLPED 2022: An Experience of a Hybrid Conference in the Time of COVID-19. IEEE Des. Test 40(1): 105-107 (2023)- [j75]Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen:
DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers 72(3): 880-892 (2023) - [j74]Hai Helen Li:
MWSCAS Guest Editorial Special Issue Based on the 64th International Midwest Symposium on Circuits and Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 1-2 (2023) - [c261]Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen:
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) 2023: 134-146 - [c260]Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty:
Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. DATE 2023: 1-6 - [c259]Bokyung Kim, Shiyu Li, Hai Li:
INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators. HPCA 2023: 29-41 - [c258]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV 2023: 1298-1307 - [c257]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li:
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV 2023: 5520-5529 - [c256]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW 2023: 1199-1207 - [i76]Eric C. Yeats, Frank Liu, Hai Helen Li:
Disentangling Learning Representations with Density Estimation. CoRR abs/2302.04362 (2023) - [i75]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li:
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR abs/2303.14531 (2023) - 2022
- [j73]Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022) - [j72]Hai Li, Alaa R. Alameldeen, Onur Mutlu:
Guest Editors' Introduction: Near-Memory and In-Memory Processing. IEEE Des. Test 39(2): 46-47 (2022) - [j71]Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande:
Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3626-3637 (2022) - [j70]Hai Helen Li:
Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2022. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 4730 (2022) - [j69]Jiachen Mao, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen:
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(3): 33:1-33:21 (2022) - [j68]Muhammad Shafique, Theocharis Theocharides, Hai (Helen) Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 2. ACM Trans. Embed. Comput. Syst. 21(6): 67:1-67:5 (2022) - [c255]Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen:
On Building Efficient and Robust Neural Network Designs. IEEECONF 2022: 317-321 - [c254]Brady Taylor, Nicky Ramos, Eric C. Yeats, Hai Li:
CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning. AICAS 2022: 283-286 - [c253]Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen:
Next Generation Federated Learning for Edge Devices: An Overview. CIC 2022: 10-15 - [c252]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CVPR Workshops 2022: 107-113 - [c251]Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen:
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR 2022: 10092-10101 - [c250]Grace Li Zhang, Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann:
RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming. DSD 2022: 423-428 - [c249]Eric C. Yeats, Frank Liu, David Womble, Hai Helen Li:
NashAE: Disentangling Representations Through Adversarial Covariance Minimization. ECCV (27) 2022: 36-51 - [c248]Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM 2022: 498-507 - [c247]Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen:
Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. ISCA 2022: 522-535 - [c246]Guangyu Feng, Bokyung Kim, Hai Helen Li:
Bionic Robust Memristor-Based Artificial Nociception System for Robotics. ISCAS 2022: 3552-3556 - [c245]Bonan Yan, Jeng-Long Hsu, Pang-Cheng Yu, Chia-Chi Lee, Yaojun Zhang, Wenshuo Yue, Guoqiang Mei, Yuchao Yang, Yue Yang, Hai Li, Yiran Chen, Ru Huang:
A 1.041-Mb/mm2 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications. ISSCC 2022: 188-190 - [c244]Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen:
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys 2022: 106-119 - [c243]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV 2022: 2907-2916 - [e5]Hai Helen Li, Charles Augustine, Ayse Kivilcim Coskun, Swaroop Ghosh:
ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1 - 3, 2022. ACM 2022, ISBN 978-1-4503-9354-6 [contents] - [i74]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CoRR abs/2202.10546 (2022) - [i73]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR abs/2207.07187 (2022) - [i72]Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Self-Trained Proposal Networks for the Open World. CoRR abs/2208.11050 (2022) - [i71]Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen:
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR abs/2209.03839 (2022) - [i70]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR abs/2209.04493 (2022) - [i69]Eric C. Yeats, Frank Liu, David Womble, Hai Li:
NashAE: Disentangling Representations through Adversarial Covariance Minimization. CoRR abs/2209.10677 (2022) - [i68]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR abs/2209.15245 (2022) - [i67]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i66]Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen:
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR abs/2211.06470 (2022) - 2021
- [j67]Feng Liang, Zhichao Tian, Ming Dong, Shuting Cheng, Li Sun, Hai Li, Yiran Chen, Guohe Zhang:
Efficient neural network using pointwise convolution kernels with linear phase constraint. Neurocomputing 423: 572-579 (2021) - [j66]Qing Yang, Jiachen Mao, Zuoguan Wang, Hai (Helen) Li:
Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement. ACM J. Emerg. Technol. Comput. Syst. 17(4): 51:1-51:16 (2021) - [j65]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 971-984 (2021) - [j64]Wei Hu, Chip-Hong Chang, Anirban Sengupta, Swarup Bhunia, Ryan Kastner, Hai Li:
An Overview of Hardware Security and Trust: Threats, Countermeasures, and Design Tools. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1010-1038 (2021) - [j63]Xiaoxiao Liu, Mengjie Mao, Xiuyuan Bi, Hai Helen Li, Yiran Chen:
Exploring Applications of STT-RAM in GPU Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 238-249 (2021) - [j62]Qing Yang, Hai Li:
BitSystolic: A 26.7 TOPS/W 2b~8b NPU With Configurable Data Flows for Edge Devices. IEEE Trans. Circuits Syst. I Regul. Pap. 68(3): 1134-1145 (2021) - [j61]Bokyung Kim, Edward Hanson, Hai Li:
An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1600-1604 (2021) - [j60]Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen:
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5(3): 26:1-26:22 (2021) - [j59]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande:
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators. ACM Trans. Embed. Comput. Syst. 20(5s): 55:1-55:23 (2021) - [c242]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - [c241]Jingchi Zhang, Yihao Huang, Huanrui Yang, Michael Martinez, Granger Hickman, Jeffrey L. Krolik, Hai Li:
Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing. AICAS 2021: 1-4 - [c240]Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann:
Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars. ASP-DAC 2021: 107-113 - [c239]Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic:
AI-Powered IoT System at the Edge. CogMI 2021: 242-251 - [c238]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR 2021: 9311-9319 - [c237]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. DAC 2021: 361-366 - [c236]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE 2021: 340-343 - [c235]Grace Li Zhang, Bing Li, Xing Huang, Chen Shen, Shuhang Zhang, Florin Burcea, Helmut Graeb, Tsung-Yi Ho, Hai Li, Ulf Schlichtmann:
An Efficient Programming Framework for Memristor-based Neuromorphic Computing. DATE 2021: 1068-1073 - [c234]Fan Chen, Linghao Song, Hai Li, Yiran Chen:
Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE 2021: 1240-1245 - [c233]Wenhong Ma, Guoqi Xie, Renfa Li, Weichen Liu, Hai Helen Li, Wanli Chang:
Efficient AUTOSAR-Compliant CAN-FD Frame Packing with Observed Optimality. DATE 2021: 1899-1904 - [c232]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. HPCC/DSS/SmartCity/DependSys 2021: 933-940 - [c231]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). ICCAD 2021: 1-7 - [c230]Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen:
Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD 2021: 1-9 - [c229]Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD 2021: 1-9 - [c228]Shuhang Zhang, Hai Li, Ulf Schlichtmann:
Peripheral Circuitry Assisted Mapping Framework for Resistive Logic-In-Memory Computing. ICCAD 2021: 1-9 - [c227]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW 2021: 41-50 - [c226]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. ICLR 2021 - [c225]Eric C. Yeats, Yiran Chen, Hai Li:
Improving Gradient Regularization using Complex-Valued Neural Networks. ICML 2021: 11953-11963 - [c224]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC 2021: 68-79 - [c223]Chaofei Yang, Leah Ding, Yiran Chen, Hai Li:
Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces. IJCNN 2021: 1-8 - [c222]Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li:
1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. ISCAS 2021: 1-5 - [c221]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD 2021: 1667-1676 - [c220]Tao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai Li:
The Fifth International Workshop on Automation in Machine Learning. KDD 2021: 4163-4164 - [c219]Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen:
ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition. MICRO 2021: 992-1004 - [c218]Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, Yiran Chen:
Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom 2021: 420-437 - [c217]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. NeurIPS 2021: 12613-12624 - [c216]Ang Li, Jingwei Sun, Xiao Zeng, Mi Zhang, Hai Li, Yiran Chen:
FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys 2021: 42-55 - [i65]Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li:
On Provable Backdoor Defense in Collaborative Learning. CoRR abs/2101.08177 (2021) - [i64]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. CoRR abs/2102.10462 (2021) - [i63]Eren Kurshan, Hai Helen Li, Mingoo Seok, Yuan Xie:
A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications. CoRR abs/2103.04852 (2021) - [i62]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. CoRR abs/2103.09891 (2021) - [i61]Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen:
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR abs/2103.09916 (2021) - [i60]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. CoRR abs/2104.10712 (2021) - [i59]Jingyang Zhang, Nathan Inkawhich, Yiran Chen, Hai Li:
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure. CoRR abs/2106.03917 (2021) - [i58]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. CoRR abs/2107.01475 (2021) - [i57]Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. CoRR abs/2109.05437 (2021) - [i56]Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz:
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR abs/2110.04869 (2021) - [i55]Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li:
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. CoRR abs/2110.13864 (2021) - [i54]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande:
ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs. CoRR abs/2111.09272 (2021) - 2020
- [j58]Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li:
Adversarial Attack: A New Threat to Smart Devices and How to Defend It. IEEE Consumer Electron. Mag. 9(4): 49-55 (2020) - [j57]Teresa Serrano-Gotarredona, Maurizio Valle, Francesco Conti, Hai Li:
Introduction to the Special Issue on the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020). IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 403-405 (2020) - [j56]Guohe Zhang, Bing Li, Jianxing Wu, Ran Wang, Yazhu Lan, Li Sun, Shaochong Lei, Hai Li, Yiran Chen:
A low-cost and high-speed hardware implementation of spiking neural network. Neurocomputing 382: 106-115 (2020) - [j55]Eren Kurshan, Hai Li, Mingoo Seok, Yuan Xie:
A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications. Int. J. Semantic Comput. 14(4): 457-475 (2020) - [j54]Bing Li, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Joe X. Qiu, Hai (Helen) Li:
3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 16(2): 20:1-20:24 (2020) - [j53]Hai Helen Li, Wei Zhang, Swarup Bhunia, Wujie Wen:
Introduction to the Special Issue on New Trends in Nanoelectronic Device, Circuit, and Architecture Design, Part 1. ACM J. Emerg. Technol. Comput. Syst. 16(3): 24:1-24:3 (2020) - [j52]Wei Zhang, Hai Helen Li, Wujie Wen, Swarup Bhunia:
Guest Editorial: ACM JETC Special Issue on New Trends in Nanolectronic Device, Circuit, and Architecture Design: Part 2. ACM J. Emerg. Technol. Comput. Syst. 16(4): 35:1-35:3 (2020) - [j51]Chaofei Yang, Beiye Liu, Hai Li, Yiran Chen, Mark Barnell, Qing Wu, Wujie Wen, Jeyavijayan Rajendran:
Thwarting Replication Attack Against Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2192-2205 (2020) - [j50]Ziru Li, Bing Li, Zichen Fan, Hai Li:
RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4736-4747 (2020) - [j49]Yazhu Lan, Kent W. Nixon, Qingli Guo, Guohe Zhang, Yuanchao Xu, Hai Li, Yiran Chen:
FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4791-4804 (2020) - [c215]Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen:
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. AAAI 2020: 6829-6836 - [c214]Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann:
Lifetime Enhancement for RRAM-based Computing-In-Memory Engine Considering Aging and Thermal Effects. AICAS 2020: 11-15 - [c213]Chaofei Yang, Hai Li, Yiran Chen, Jiang Hu:
Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation. ASP-DAC 2020: 145-150 - [c212]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. ASP-DAC 2020: 175-180 - [c211]Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li:
Parallelism in Deep Learning Accelerators. ASP-DAC 2020: 645-650 - [c210]Matthew Inkawhich, Yiran Chen, Hai Helen Li:
Snooping Attacks on Deep Reinforcement Learning. AAMAS 2020: 557-565 - [c209]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops 2020: 2899-2908 - [c208]Ziru Li, Bonan Yan, Hai Helen Li:
ReSiPE: ReRAM-based Single-Spiking Processing-In-Memory Engine. DAC 2020: 1-6 - [c207]Qilin Zheng, Zongwei Wang, Zishun Feng, Bonan Yan, Yimao Cai, Ru Huang, Yiran Chen, Chia-Lin Yang, Hai Helen Li:
Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks. DAC 2020: 1-6 - [c206]Biresh Kumar Joardar, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty:
GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation. DATE 2020: 228-233 - [c205]