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Viewing Publication 1 - 49 from 49

2023

Comprehensive SNN Compression Using ADMM Optimization and Activity RegularizationLei Deng 0003, Yujie Wu 0002, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu 0001, Yufei Ding, Peng Li 0001, Yuan Xie 0001. tnn, 34(6):2791-2805, June 2023. [doi]

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible GradientLing Liang, Xing Hu 0001, Lei Deng 0003, Yujie Wu 0002, Guoqi Li, Yufei Ding, Peng Li 0001, Yuan Xie 0001. tnn, 34(5):2569-2583, May 2023. [doi]

Multi-grained system integration for hybrid-paradigm brain-inspired computingJing Pei, Lei Deng 0003, Cheng Ma, Xue Liu, Luping Shi. chinaf, 66(4), April 2023. [doi]

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNsDingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng 0003, Tianyi Yan, Guoqi Li. tnn, 34(5):2205-2219, May 2023. [doi]

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic ComputingMingkun Xu, Hao Zheng, Jing Pei, Lei Deng 0003. agi 2023: 345-356 [doi]

Attention Spiking Neural NetworksMan Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng 0003, Yonghong Tian 0001, Bo Xu 0002, Guoqi Li. pami, 45(8):9393-9410, August 2023. [doi]

2022

A Systematic View of Model Leakage Risks in Deep Neural Network SystemsXing Hu 0001, Ling Liang, Xiaobing Chen, Lei Deng 0003, Yu Ji 0002, Yufei Ding, Zidong Du, Qi Guo 0001, Timothy Sherwood, Yuan Xie 0001. TC, 71(12):3254-3267, 2022. [doi]

General spiking neural network framework for the learning trajectory from a noisy mmWave radarXin Liu 0073, Mingyu Yan, Lei Deng 0003, Yujie Wu, De Han, Guoqi Li, Xiaochun Ye, Dongrui Fan. neuromorphic, 2(2):34013, June 2022. [doi]

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural NetworksZhaodong Chen, Lei Deng 0003, Bangyan Wang, Guoqi Li, Yuan Xie 0001. pami, 44(1):13-31, 2022. [doi]

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network TrainingXiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu 0001, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng 0003, Yufei Ding, Zidong Du, Yuan Xie 0001. tcad, 41(4):936-949, 2022. [doi]

Toward Robust Spiking Neural Network Against Adversarial PerturbationLing Liang, Kaidi Xu, Xing Hu 0001, Lei Deng 0003, Yuan Xie 0001. nips 2022: [doi]

Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPULing Liang, Zhaodong Chen, Lei Deng 0003, Fengbin Tu, Guoqi Li, Yuan Xie 0001. date 2022: 658-663 [doi]

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural NetworksLing Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu 0002, Lei Deng 0003, Guoqi Li, Peng Li 0001, Yuan Xie 0001. tcad, 41(11):4782-4796, 2022. [doi]

Spatiotemporal Input Control: Leveraging Temporal Variation in Network DynamicsYihan Lin, Jiawei Sun, Guoqi Li, Gaoxi Xiao, Changyun Wen, Lei Deng 0003, Harry Eugene Stanley. ieeejas, 9(4):635-651, 2022. [doi]

Sampling Methods for Efficient Training of Graph Convolutional Networks: A SurveyXin Liu, Mingyu Yan, Lei Deng 0003, Guoqi Li, Xiaochun Ye, Dongrui Fan. ieeejas, 9(2):205-234, 2022. [doi]

Hardware-Enabled Efficient Data Processing With Tensor-Train DecompositionZheng Qu, Lei Deng 0003, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang 0005, Yuan Xie 0001. tcad, 41(2):372-385, 2022. [doi]

STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA PlatformsYuke Wang, Boyuan Feng, Gushu Li, Lei Deng 0003, Yuan Xie 0001, Yufei Ding. tcad, 41(5):1358-1370, 2022. [doi]

Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive ArchitectureBangyan Wang, Lei Deng 0003, Zheng Qu, Shuangchen Li, Zheng Zhang 0005, Yuan Xie 0001. TC, 71(2):266-281, 2022. [doi]

Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalizationYukuan Yang, Xiaowei Chi, Lei Deng 0003, Tianyi Yan, Feng Gao, Guoqi Li. ijon, 511:175-186, 2022. [doi]

2021

Practical Attacks on Deep Neural Networks by Memory TrojaningXing Hu 0001, Yang Zhao, Lei Deng 0003, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie 0001. tcad, 40(6):1230-1243, 2021. [doi]

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics EstimationZhaodong Chen, Lei Deng 0003, Guoqi Li, Jiawei Sun, Xing Hu 0001, Ling Liang, Yufei Ding, Yuan Xie 0001. tnn, 32(1):348-362, 2021. [doi]

Tensor train decomposition for solving large-scale linear equationsHengnu Chen, Lei Deng 0003, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie 0001, Guoqi Li. ijon, 464:203-217, 2021. [doi]

QTTNet: Quantized tensor train neural networks for 3D object and video recognitionDonghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng 0003, Guangshe Zhao, Guoqi Li. NN, 141:420-432, 2021. [doi]

Hardware Acceleration for GCNs via Bidirectional FusionHan Li, Mingyu Yan, Xiaocheng Yang, Lei Deng 0003, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie 0001. cal, 20(1):66-69, 2021. [doi]

Fast Search of the Optimal Contraction Sequence in Tensor NetworksLing Liang, Jianyu Xu, Lei Deng 0003, Mingyu Yan, Xing Hu 0001, Zheng Zhang 0005, Guoqi Li, Yuan Xie 0001. jstsp, 15(3):574-586, 2021. [doi]

Target Controllability of Two-Layer Multiplex Networks Based on Network Flow TheoryKun Song, Guoqi Li, Xumin Chen, Lei Deng 0003, Gaoxi Xiao, Fei Zeng, Pei Jing. tcyb, 51(5):2699-2711, 2021. [doi]

Nonlinear tensor train format for deep neural network compressionDingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng 0003, Guoqi Li. NN, 144:320-333, 2021. [doi]

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUsYuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng 0003, Yuan Xie 0001, Yufei Ding. osdi 2021: 515-531 [doi]

TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAsYuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng 0003, Yuan Xie 0001, Yufei Ding. ccgrid 2021: 133-142 [doi]

SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory AcceleratorXinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng 0003, Ling Liang, Xing Hu 0001, Yuan Xie 0001. hpca 2021: 570-583 [doi]

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph LearningMingkun Xu, Yujie Wu 0002, Lei Deng 0003, Faqiang Liu, Guoqi Li, Jing Pei. IJCAI 2021: 3207-3213 [doi]

Training and inference for integer-based semantic segmentation networkJiayi Yang, Lei Deng 0003, Yukuan Yang, Yuan Xie 0001, Guoqi Li. ijon, 454:101-112, 2021. [doi]

Going Deeper With Directly-Trained Larger Spiking Neural NetworksHanle Zheng, Yujie Wu 0002, Lei Deng 0003, Yifan Hu, Guoqi Li. AAAI 2021: 11062-11070 [doi]

2020

Rethinking the performance comparison between SNNS and ANNSLei Deng 0003, Yujie Wu, Xing Hu 0001, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li 0001, Yuan Xie 0001. NN, 121:294-307, 2020. [doi]

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive SurveyLei Deng 0003, Guoqi Li, Song Han, Luping Shi, Yuan Xie. pieee, 108(4):485-532, 2020. [doi]

SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on CrossbarsLei Deng 0003, Yuan Xie 0001, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu 0001, Xin Ma, Liu Liu, Jing Pei, Guoqi Li. tcad, 39(1):117-130, 2020. [doi]

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural ComputationLei Deng 0003, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu 0001, Yufei Ding, Wei He, Yuan Xie 0001, Luping Shi. jssc, 55(8):2228-2246, 2020. [doi]

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPUZhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng 0003, Guoqi Li, Shuangchen Li, Yuan Xie 0001. iccad 2020: 1-9 [doi]

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differencesWeihua He, Yujie Wu, Lei Deng 0003, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie 0001. NN, 132:108-120, 2020. [doi]

DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural HintsXing Hu, Ling Liang, Shuangchen Li, Lei Deng 0003, Pengfei Zuo, Yu Ji 0002, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie. asplos 2020: 385-399 [doi]

A deadlock-free physical mapping method on the many-core neural network chipCheng Ma, Qi Zhao, Guoqi Li, Lei Deng 0003, Guanrui Wang. ijon, 401:327-337, 2020. [doi]

Compressing 3DCNNs based on tensor train decompositionDingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng 0003, Yang Wu 0001. NN, 131:215-230, 2020. [doi]

Hybrid tensor decomposition in neural network compressionBijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng 0003, Guoqi Li. NN, 132:309-320, 2020. [doi]

Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement LearningNan Wu, Lei Deng 0003, Guoqi Li, Yuan Xie 0001. todaes, 26(2), 2020. [doi]

Characterizing and Understanding GCNs on GPUMingyu Yan, Zhaodong Chen, Lei Deng 0003, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie 0001. cal, 19(1):22-25, 2020. [doi]

HyGCN: A GCN Accelerator with Hybrid ArchitectureMingyu Yan, Lei Deng 0003, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie 0001. hpca 2020: 15-29 [doi]

Training high-performance and large-scale deep neural networks with full 8-bit integersYukuan Yang, Lei Deng 0003, Shuang Wu, Tianyi Yan, Yuan Xie 0001, Guoqi Li. NN, 125:70-82, 2020. [doi]

2019

Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design ApproachMingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng 0003, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie 0001. micro 2019: 615-628 [doi]

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