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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
- 2022
[j69]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)- [j68]Hai Li, Alaa R. Alameldeen, Onur Mutlu:
Guest Editors' Introduction: Near-Memory and In-Memory Processing. IEEE Des. Test 39(2): 46-47 (2022) - [c231]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 - [i65]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CoRR abs/2202.10546 (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) - [c230]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 - [c229]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 - [c228]Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann:
Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars. ASP-DAC 2021: 107-113 - [c227]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 - [c226]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 - [c225]Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen:
RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE 2021: 340-343 - [c224]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 - [c223]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 - [c222]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 - [c221]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 - [c220]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 - [c219]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. ICLR 2021 - [c218]Eric C. Yeats, Yiran Chen, Hai Li:
Improving Gradient Regularization using Complex-Valued Neural Networks. ICML 2021: 11953-11963 - [c217]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 - [c216]Chaofei Yang, Leah Ding, Yiran Chen, Hai Li:
Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces. IJCNN 2021: 1-8 - [c215]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 - [c214]Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. KDD 2021: 1667-1676 - [c213]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 - [c212]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 - [c211]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 - [i64]Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li:
On Provable Backdoor Defense in Collaborative Learning. CoRR abs/2101.08177 (2021) - [i63]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. CoRR abs/2102.10462 (2021) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]Jingyang Zhang, Nathan Inkawhich, Yiran Chen, Hai Li:
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure. CoRR abs/2106.03917 (2021) - [i57]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) - [i56]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) - [i55]Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz:
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR abs/2110.04869 (2021) - [i54]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) - [i53]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) - [c210]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 - [c209]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 - [c208]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 - [c207]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 - [c206]Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li:
Parallelism in Deep Learning Accelerators. ASP-DAC 2020: 645-650 - [c205]Matthew Inkawhich, Yiran Chen, Hai Helen Li:
Snooping Attacks on Deep Reinforcement Learning. AAMAS 2020: 557-565 - [c204]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 - [c203]Ziru Li, Bonan Yan, Hai Helen Li:
ReSiPE: ReRAM-based Single-Spiking Processing-In-Memory Engine. DAC 2020: 1-6 - [c202]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 - [c201]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 - [c200]Shuhang Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann:
A Pulse-width Modulation Neuron with Continuous Activation for Processing-In-Memory Engines. DATE 2020: 1426-1431 - [c199]Yitu Wang, Fan Chen, Linghao Song, C.-J. Richard Shi, Hai Helen Li, Yiran Chen:
ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE 2020: 1472-1477 - [c198]Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans:
Neural Predictor for Neural Architecture Search. ECCV (29) 2020: 660-676 - [c197]Grace Li Zhang, Bing Li, Ying Zhu, Shuhang Zhang, Tianchen Wang, Yiyu Shi, Tsung-Yi Ho, Hai (Helen) Li, Ulf Schlichtmann:
Reliable and Robust RRAM-based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI 2020: 33-38 - [c196]Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA 2020: 342-355 - [c195]Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Helen Li, Yiran Chen:
Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna. ICASSP 2020: 3037-3041 - [c194]Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen:
Fast IR Drop Estimation with Machine Learning : Invited Paper. ICCAD 2020: 13:1-13:8 - [c193]Xiaoxuan Yang, Bonan Yan, Hai Li, Yiran Chen:
ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration. ICCAD 2020: 92:1-92:9 - [c192]Qilin Zheng, Xingchen Li, Zongwei Wang, Guangyu Sun, Yimao Cai, Ru Huang, Yiran Chen, Hai Li:
MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block. ICCAD 2020: 104:1-104:9 - [c191]Huanrui Yang, Wei Wen, Hai Li:
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. ICLR 2020 - [c190]Shiyu Li, Edward Hanson, Hai Li, Yiran Chen:
PENNI: Pruned Kernel Sharing for Efficient CNN Inference. ICML 2020: 5863-5873 - [c189]Chunpeng Wu, Hai Li:
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training. IJCNN 2020: 1-8 - [c188]Chunpeng Wu, Bin Ni, Hai Li:
Redistributing and Re-Stylizing Features for Training a Fast Photorealistic Stylizer. IJCNN 2020: 1-8 - [c187]Wei Wen, Feng Yan, Yiran Chen, Hai Li:
AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. KDD 2020: 833-841 - [c186]Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li:
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. NeurIPS 2020 - [e4]Ulf Schlichtmann, Raviv Gal, Hussam Amrouch, Hai (Helen) Li:
MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event, Iceland, November 16-20, 2020. ACM 2020, ISBN 978-1-4503-7519-1 [contents] - [i52]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. CoRR abs/2004.09031 (2020) - [i51]Shiyu Li, Edward Hanson, Hai Li, Yiran Chen:
PENNI: Pruned Kernel Sharing for Efficient CNN Inference. CoRR abs/2005.07133 (2020) - [i50]Chaofei Yang, Lei Ding, Yiran Chen, Hai Helen Li:
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial Faces. CoRR abs/2006.07421 (2020) - [i49]Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR abs/2007.04452 (2020) - [i48]Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li:
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR abs/2008.03371 (2020) - [i47]Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. CoRR abs/2009.00163 (2020) - [i46]Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. CoRR abs/2009.00203 (2020) - [i45]Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li:
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. CoRR abs/2009.14720 (2020) - [i44]Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen:
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR abs/2011.03190 (2020) - [i43]Zhiyao Xie, Hai Li, Xiaoqing Xu, Jiang Hu, Yiran Chen:
Fast IR Drop Estimation with Machine Learning. CoRR abs/2011.13491 (2020) - [i42]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020) - [i41]Binghui Wang, Ang Li, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. CoRR abs/2012.04187 (2020) - [i40]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR abs/2012.06043 (2020) - [i39]Chang Song, Elias Fallon, Hai Helen Li:
Improving Adversarial Robustness in Weight-quantized Neural Networks. CoRR abs/2012.14965 (2020)
2010 – 2019
- 2019
- [j48]Bonan Yan, Bing Li, Ximing Qiao, Cheng-Xin Xue, Meng-Fan Chang, Yiran Chen, Hai Helen Li:
Resistive Memory-Based In-Memory Computing: From Device and Large-Scale Integration System Perspectives. Adv. Intell. Syst. 1(7): 1900068 (2019) - [j47]Linghao Song, You Wu, Xuehai Qian, Hai Li, Yiran Chen:
ReBNN: in-situ acceleration of binarized neural networks in ReRAM using complementary resistive cell. CCF Trans. High Perform. Comput. 1(3-4): 196-208 (2019) - [j46]Bing Li, Mengjie Mao, Xiaoxiao Liu, Tao Liu, Zihao Liu, Wujie Wen, Yiran Chen, Hai (Helen) Li:
Thread Batching for High-performance Energy-efficient GPU Memory Design. ACM J. Emerg. Technol. Comput. Syst. 15(4): 39:1-39:21 (2019) - [j45]Shuo Li, Nong Xiao, Peng Wang, Guangyu Sun, Xiaoyang Wang, Yiran Chen, Hai Helen Li, Jason Cong, Tao Zhang:
RC-NVM: Dual-Addressing Non-Volatile Memory Architecture Supporting Both Row and Column Memory Accesses. IEEE Trans. Computers 68(2): 239-254 (2019) - [j44]Jianlei Yang, Xueyan Wang, Qiang Zhou, Zhaohao Wang, Hai Li, Yiran Chen, Weisheng Zhao:
Exploiting Spin-Orbit Torque Devices As Reconfigurable Logic for Circuit Obfuscation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(1): 57-69 (2019) - [j43]Massimo Alioto, Magdy S. Abadir, Tughrul Arslan, Chirn Chye Boon, Andreas Burg, Chip-Hong Chang, Meng-Fan Chang, Yao-Wen Chang, Poki Chen, Pasquale Corsonello, Paolo Crovetti, Shiro Dosho, Rolf Drechsler, Ibrahim Abe M. Elfadel, Ruonan Han, Masanori Hashimoto, Chun-Huat Heng, Deukhyoun Heo, Tsung-Yi Ho, Houman Homayoun, Yuh-Shyan Hwang, Ajay Joshi, Rajiv V. Joshi, Tanay Karnik, Chulwoo Kim, Tony Tae-Hyoung Kim, Jaydeep Kulkarni, Volkan Kursun, Yoonmyung Lee, Hai Helen Li, Huawei Li, Prabhat Mishra, Baker Mohammad, Mehran Mozaffari Kermani, Makoto Nagata, Koji Nii, Partha Pratim Pande, Bipul C. Paul, Vasilis F. Pavlidis, José Pineda de Gyvez, Ioannis Savidis, Patrick Schaumont, Fabio Sebastiano, Anirban Sengupta, Mingoo Seok, Mircea R. Stan, Mark M. Tehranipoor, Aida Todri-Sanial, Marian Verhelst, Valerio Vignoli, Xiaoqing Wen, Jiang Xu, Wei Zhang, Zhengya Zhang, Jun Zhou, Mark Zwolinski, Stacey Weber:
Editorial TVLSI Positioning - Continuing and Accelerating an Upward Trajectory. IEEE Trans. Very Large Scale Integr. Syst. 27(2): 253-280 (2019) - [c185]Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li:
DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI 2019 - [c184]Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li:
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI 2019 - [c183]Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen:
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. AICAS 2019: 276-278 - [c182]Bing Li, Bonan Yan, Chenchen Liu, Hai (Helen) Li:
Build reliable and efficient neuromorphic design with memristor technology. ASP-DAC 2019: 224-229 - [c181]Chuhan Min, Jiachen Mao, Hai Li, Yiran Chen:
NeuralHMC: an efficient HMC-based accelerator for deep neural networks. ASP-DAC 2019: 394-399 - [c180]Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen:
AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. ASP-DAC 2019: 518-525 - [c179]Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen:
Towards Decentralized Deep Learning with Differential Privacy. CLOUD 2019: 130-145 - [c178]Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao:
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS 2019: 21:1-21:10 - [c177]Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen:
Feature Space Perturbations Yield More Transferable Adversarial Examples. CVPR 2019: 7066-7074 - [c176]