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Lei Deng 0003
Person information
- affiliation: University of California at Santa Barbara, Department of Electrical and Computer Engineering, CA, USA
- affiliation (PhD 2017): Tsinghua University, Beijing, China
Other persons with the same name
- Lei Deng — disambiguation page
- Lei Deng 0001
— Dongguan University of Technology, School of Electrical Engineering and Intelligentization, China (and 2 more)
- Lei Deng 0002
— Central South University, School of Software, Changsha, China
- Lei Deng 0004
— University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China
- Lei Deng 0005
— Capital Normal University, College of Resource Environment and Tourism, Beijing, China
- Lei Deng 0006
— Huazhong University of Science and Technology, Wuhan, China (and 1 more)
- Lei Deng 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 2 more)
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2020 – today
- 2024
- [i41]Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng:
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks. CoRR abs/2403.16674 (2024) - [i40]Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng:
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. CoRR abs/2403.17040 (2024) - 2023
- [j45]Jing Pei, Lei Deng
, Cheng Ma
, Xue Liu, Luping Shi:
Multi-grained system integration for hybrid-paradigm brain-inspired computing. Sci. China Inf. Sci. 66(4) (2023) - [j44]Man Yao
, Guangshe Zhao
, Hengyu Zhang
, Yifan Hu
, Lei Deng
, Yonghong Tian
, Bo Xu
, Guoqi Li
:
Attention Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9393-9410 (2023) - [j43]Dingheng Wang
, Bijiao Wu, Guangshe Zhao, Man Yao
, Hengnu Chen
, Lei Deng
, Tianyi Yan
, Guoqi Li
:
Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2205-2219 (2023) - [j42]Ling Liang
, Xing Hu, Lei Deng
, Yujie Wu, Guoqi Li
, Yufei Ding
, Peng Li
, Yuan Xie
:
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2569-2583 (2023) - [j41]Lei Deng
, Yujie Wu, Yifan Hu, Ling Liang
, Guoqi Li
, Xing Hu, Yufei Ding
, Peng Li
, Yuan Xie
:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2791-2805 (2023) - [c28]Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng
:
A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. AGI 2023: 345-356 - [i39]Jianyu Xu, Hanwen Zhang, Ling Liang, Lei Deng, Yuan Xie, Guoqi Li:
NP-Hardness of Tensor Network Contraction Ordering. CoRR abs/2310.06140 (2023) - 2022
- [j40]Xin Liu, Mingyu Yan, Lei Deng
, Guoqi Li, Xiaochun Ye, Dongrui Fan
:
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey. IEEE CAA J. Autom. Sinica 9(2): 205-234 (2022) - [j39]Yihan Lin
, Jiawei Sun, Guoqi Li, Gaoxi Xiao, Changyun Wen, Lei Deng
, Harry Eugene Stanley:
Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics. IEEE CAA J. Autom. Sinica 9(4): 635-651 (2022) - [j38]Yukuan Yang, Xiaowei Chi, Lei Deng
, Tianyi Yan, Feng Gao, Guoqi Li:
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization. Neurocomputing 511: 175-186 (2022) - [j37]Xin Liu
, Mingyu Yan, Lei Deng
, Yujie Wu, De Han, Guoqi Li, Xiaochun Ye, Dongrui Fan:
General spiking neural network framework for the learning trajectory from a noisy mmWave radar. Neuromorph. Comput. Eng. 2(2): 34013 (2022) - [j36]Zhaodong Chen
, Lei Deng
, Bangyan Wang
, Guoqi Li
, Yuan Xie
:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 13-31 (2022) - [j35]Bangyan Wang
, Lei Deng
, Zheng Qu, Shuangchen Li, Zheng Zhang
, Yuan Xie:
Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-Interactive Architecture. IEEE Trans. Computers 71(2): 266-281 (2022) - [j34]Xing Hu
, Ling Liang
, Xiaobing Chen
, Lei Deng
, Yu Ji
, Yufei Ding
, Zidong Du
, Qi Guo, Timothy Sherwood
, Yuan Xie
:
A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers 71(12): 3254-3267 (2022) - [j33]Zheng Qu
, Lei Deng
, Bangyan Wang
, Hengnu Chen
, Jilan Lin
, Ling Liang
, Guoqi Li
, Zheng Zhang
, Yuan Xie
:
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 372-385 (2022) - [j32]Xiaobing Chen
, Yuke Wang
, Xinfeng Xie
, Xing Hu
, Abanti Basak, Ling Liang
, Mingyu Yan
, Lei Deng
, Yufei Ding
, Zidong Du
, Yuan Xie
:
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 936-949 (2022) - [j31]Yuke Wang
, Boyuan Feng, Gushu Li, Lei Deng
, Yuan Xie
, Yufei Ding
:
STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1358-1370 (2022) - [j30]Ling Liang
, Zheng Qu
, Zhaodong Chen
, Fengbin Tu
, Yujie Wu, Lei Deng
, Guoqi Li
, Peng Li
, Yuan Xie
:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4782-4796 (2022) - [c27]Bangyan Wang
, Lei Deng
, Fei Sun, Guohao Dai, Liu Liu
, Yu Wang, Yuan Xie:
A one-for-all and o(v log(v ))-cost solution for parallel merge style operations on sorted key-value arrays. ASPLOS 2022: 669-682 - [c26]Arindam Basu
, Lei Deng
, Charlotte Frenkel, Xueyong Zhang
:
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions. CICC 2022: 1-8 - [c25]Ling Liang, Zhaodong Chen, Lei Deng
, Fengbin Tu, Guoqi Li, Yuan Xie:
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE 2022: 658-663 - [c24]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. IJCAI 2022: 5521-5529 - [c23]Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie:
Toward Robust Spiking Neural Network Against Adversarial Perturbation. NeurIPS 2022 - [i38]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. CoRR abs/2202.04822 (2022) - [i37]Arindam Basu, Charlotte Frenkel, Lei Deng
, Xueyong Zhang:
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions. CoRR abs/2203.07006 (2022) - [i36]Ling Liang, Kaidi Xu, Xing Hu, Lei Deng
, Yuan Xie:
Toward Robust Spiking Neural Network Against Adversarial Perturbation. CoRR abs/2205.01625 (2022) - [i35]Man Yao, Guangshe Zhao, Hengyu Zhang
, Yifan Hu, Lei Deng
, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. CoRR abs/2209.13929 (2022) - 2021
- [j29]Han Li
, Mingyu Yan
, Xiaocheng Yang
, Lei Deng
, Wenming Li, Xiaochun Ye
, Dongrui Fan
, Yuan Xie
:
Hardware Acceleration for GCNs via Bidirectional Fusion. IEEE Comput. Archit. Lett. 20(1): 66-69 (2021) - [j28]Lei Deng
, Huajin Tang, Kaushik Roy:
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning. Frontiers Comput. Neurosci. 15: 665662 (2021) - [j27]Jiayi Yang, Lei Deng
, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and inference for integer-based semantic segmentation network. Neurocomputing 454: 101-112 (2021) - [j26]Hengnu Chen, Lei Deng
, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li:
Tensor train decomposition for solving large-scale linear equations. Neurocomputing 464: 203-217 (2021) - [j25]Ling Liang
, Jianyu Xu, Lei Deng
, Mingyu Yan
, Xing Hu, Zheng Zhang
, Guoqi Li
, Yuan Xie
:
Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE J. Sel. Top. Signal Process. 15(3): 574-586 (2021) - [j24]Donghyun Lee
, Dingheng Wang, Yukuan Yang, Lei Deng
, Guangshe Zhao, Guoqi Li
:
QTTNet: Quantized tensor train neural networks for 3D object and video recognition. Neural Networks 141: 420-432 (2021) - [j23]Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng
, Guoqi Li
:
Nonlinear tensor train format for deep neural network compression. Neural Networks 144: 320-333 (2021) - [j22]Xing Hu
, Yang Zhao
, Lei Deng
, Ling Liang
, Pengfei Zuo
, Jing Ye
, Yingyan Lin, Yuan Xie
:
Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1230-1243 (2021) - [j21]Kun Song, Guoqi Li
, Xumin Chen, Lei Deng
, Gaoxi Xiao
, Fei Zeng
, Pei Jing:
Target Controllability of Two-Layer Multiplex Networks Based on Network Flow Theory. IEEE Trans. Cybern. 51(5): 2699-2711 (2021) - [j20]Zhaodong Chen
, Lei Deng
, Guoqi Li
, Jiawei Sun, Xing Hu, Ling Liang
, Yufei Ding, Yuan Xie:
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 348-362 (2021) - [j19]Nan Wu
, Lei Deng
, Guoqi Li, Yuan Xie:
Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 26(2): 11:1-11:27 (2021) - [c22]Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. AAAI 2021: 11062-11070 - [c21]Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos
, Lei Deng
, Yuan Xie, Yufei Ding:
TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. CCGRID 2021: 133-142 - [c20]Xinfeng Xie, Zheng Liang
, Peng Gu, Abanti Basak, Lei Deng
, Ling Liang, Xing Hu, Yuan Xie:
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. HPCA 2021: 570-583 - [c19]Mingkun Xu
, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. IJCAI 2021: 3207-3213 - [c18]Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding:
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI 2021: 515-531 - [i34]Xin Liu
, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan:
Sampling methods for efficient training of graph convolutional networks: A survey. CoRR abs/2103.05872 (2021) - [i33]Yukuan Yang, Xiaowei Chi, Lei Deng, Tianyi Yan, Feng Gao, Guoqi Li:
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization. CoRR abs/2105.13890 (2021) - [i32]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR abs/2107.06865 (2021) - [i31]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR abs/2107.11746 (2021) - [i30]Yihan Lin
, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li:
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks. CoRR abs/2110.12211 (2021) - [i29]Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li:
Advancing Residual Learning towards Powerful Deep Spiking Neural Networks. CoRR abs/2112.08954 (2021) - 2020
- [j18]Mingyu Yan
, Zhaodong Chen, Lei Deng
, Xiaochun Ye
, Zhimin Zhang, Dongrui Fan
, Yuan Xie:
Characterizing and Understanding GCNs on GPU. IEEE Comput. Archit. Lett. 19(1): 22-25 (2020) - [j17]Cheng Ma
, Qi Zhao, Guoqi Li, Lei Deng
, Guanrui Wang:
A deadlock-free physical mapping method on the many-core neural network chip. Neurocomputing 401: 327-337 (2020) - [j16]Lei Deng
, Guanrui Wang, Guoqi Li
, Shuangchen Li, Ling Liang
, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
:
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55(8): 2228-2246 (2020) - [j15]Lei Deng
, Yujie Wu, Xing Hu, Ling Liang
, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie:
Rethinking the performance comparison between SNNS and ANNS. Neural Networks 121: 294-307 (2020) - [j14]Yukuan Yang, Lei Deng
, Shuang Wu
, Tianyi Yan, Yuan Xie, Guoqi Li:
Training high-performance and large-scale deep neural networks with full 8-bit integers. Neural Networks 125: 70-82 (2020) - [j13]Dingheng Wang, Guangshe Zhao, Guoqi Li
, Lei Deng
, Yang Wu:
Compressing 3DCNNs based on tensor train decomposition. Neural Networks 131: 215-230 (2020) - [j12]Weihua He
, Yujie Wu, Lei Deng
, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang
, Yuan Xie:
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. Neural Networks 132: 108-120 (2020) - [j11]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng
, Guoqi Li
:
Hybrid tensor decomposition in neural network compression. Neural Networks 132: 309-320 (2020) - [j10]H.-S. Philip Wong, Kerem Akarvardar, Dimitri A. Antoniadis, Jeffrey Bokor, Chenming Hu, Tsu-Jae King Liu, Subhasish Mitra, James D. Plummer, Sayeef S. Salahuddin, Lei Deng, Xin-Guo Li, Song Han, Luping Shi, Yuan Xie, Elias Yaacoub, Mohamed-Slim Alouini, Ahmed Douik, Hayssam Dahrouj, Tareq Y. Al-Naffouri:
Scanning the Issue. Proc. IEEE 108(4): 483-484 (2020) - [j9]Lei Deng
, Guoqi Li
, Song Han
, Luping Shi
, Yuan Xie:
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey. Proc. IEEE 108(4): 485-532 (2020) - [j8]Lei Deng
, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang
, Xing Hu, Xin Ma, Liu Liu
, Jing Pei, Guoqi Li
:
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 117-130 (2020) - [c17]Xing Hu, Ling Liang, Shuangchen Li, Lei Deng
, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood
, Yuan Xie:
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS 2020: 385-399 - [c16]Mingyu Yan, Lei Deng
, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan
, Yuan Xie:
HyGCN: A GCN Accelerator with Hybrid Architecture. HPCA 2020: 15-29 - [c15]Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng
, Guoqi Li, Shuangchen Li, Yuan Xie:
fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD 2020: 60:1-60:9 - [c14]Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie:
Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML 2020: 6205-6215 - [c13]Liu Liu
, Zheng Qu, Lei Deng
, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie:
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO 2020: 738-750 - [i28]Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. CoRR abs/2001.00254 (2020) - [i27]Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR abs/2001.01587 (2020) - [i26]Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
HyGCN: A GCN Accelerator with Hybrid Architecture. CoRR abs/2001.02514 (2020) - [i25]Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie:
Characterizing and Understanding GCNs on GPU. CoRR abs/2001.10160 (2020) - [i24]Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences. CoRR abs/2005.02183 (2020) - [i23]Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi:
Brain-inspired global-local hybrid learning towards human-like intelligence. CoRR abs/2006.03226 (2020) - [i22]Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding:
GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR abs/2006.06608 (2020) - [i21]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid Tensor Decomposition in Neural Network Compression. CoRR abs/2006.15938 (2020) - [i20]Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li:
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. CoRR abs/2008.09342 (2020) - [i19]Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie:
Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR abs/2009.12495 (2020) - [i18]Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. CoRR abs/2011.05280 (2020) - [i17]Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and Inference for Integer-Based Semantic Segmentation Network. CoRR abs/2011.14504 (2020)
2010 – 2019
- 2019
- [j7]Shuang Wu
, Guoqi Li
, Lei Deng
, Liu Liu
, Dong Wu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2043-2051 (2019) - [c12]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. AAAI 2019: 1311-1318 - [c11]Yang Zhao
, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng
, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie:
Memory Trojan Attack on Neural Network Accelerators. DATE 2019: 1415-1420 - [c10]Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng
, Yufei Ding:
KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM 2019: 320 - [c9]Jilan Lin
, Shuangchen Li, Xing Hu, Lei Deng
, Yuan Xie:
CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. ACM Great Lakes Symposium on VLSI 2019: 283-286 - [c8]Qi Zhao, Lei Deng
, Guoqi Li, Guanrui Wang, Cheng Ma:
Efficient Mapping without Deadlock on the Many-core Neural Network Chip. ICCA 2019: 752-757 - [c7]Liu Liu
, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - [c6]Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng
, Xiaochun Ye, Zhimin Zhang, Dongrui Fan
, Yuan Xie:
Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. ISLPED 2019: 1-6 - [c5]Mingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng
, Xiaochun Ye, Zhimin Zhang, Dongrui Fan
, Yuan Xie:
Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. MICRO 2019: 615-628 - [i16]Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie:
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR abs/1903.03916 (2019) - [i15]Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding:
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. CoRR abs/1905.09345 (2019) - [i14]Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding:
AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. CoRR abs/1908.11781 (2019) - [i13]Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li:
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers. CoRR abs/1909.02384 (2019) - [i12]Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi:
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking. CoRR abs/1909.12942 (2019) - [i11]Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR abs/1911.00822 (2019) - [i10]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. CoRR abs/1912.03647 (2019) - [i9]Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li:
Transfer Learning in General Lensless Imaging through Scattering Media. CoRR abs/1912.12419 (2019) - 2018
- [j6]Jianyu Xu, Guoqi Li
, Changyun Wen
, Kun Wu, Lei Deng
:
Towards a Unified Framework of Matrix Derivatives. IEEE Access 6: 47922-47934 (2018) - [j5]Ling Liang
, Lei Deng
, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li
, Yuan Xie:
Crossbar-Aware Neural Network Pruning. IEEE Access 6: 58324-58337 (2018) - [j4]Guoqi Li, Lei Deng
, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi:
Training deep neural networks with discrete state transition. Neurocomputing 272: 154-162 (2018) - [j3]Leitao Gao, Guangshe Zhao, Guoqi Li
, Lei Deng
, Fei Zeng:
Towards the minimum-cost control of target nodes in directed networks with linear dynamics. J. Frankl. Inst. 355(16): 8141-8157 (2018) - [j2]Lei Deng
, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li
:
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Neural Networks 100: 49-58 (2018) - [c4]Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie:
HitNet: Hybrid Ternary Recurrent Neural Network. NeurIPS 2018: 602-612 - [c3]Yu Ji, Ling Liang, Lei Deng, Youyang Zhang, Youhui Zhang, Yuan Xie:
TETRIS: TilE-matching the TRemendous Irregular Sparsity. NeurIPS 2018: 4119-4129 - [i8]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR abs/1802.09769 (2018) - [i7]Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie:
Crossbar-aware neural network pruning. CoRR abs/1807.10816 (2018) - [i6]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. CoRR abs/1809.05793 (2018) - [i5]Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie:
In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR abs/1809.08358 (2018) - [i4]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. CoRR abs/1810.00859 (2018) - [i3]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie:
Batch Normalization Sampling. CoRR abs/1810.10962 (2018) - 2017
- [i2]Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li:
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework. CoRR abs/1705.09283 (2017) - [i1]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks. CoRR abs/1706.02609 (2017) - 2016
- [j1]Guoqi Li, Lei Deng
, Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Pei Jing, Luping Shi:
Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity. Frontiers Comput. Neurosci. 10: 136 (2016) - 2015
- [c2]Lei Deng
, Dong Wang, Guoqi Li, Ziyang Zhang, Jing Pei:
A new computing rule for neuromorphic engineering. NVMTS 2015: 1-3 - [c1]Dong Wang, Lei Deng
, Pei Tang, Cheng Ma, Jing Pei:
FPGA-based neuromorphic computing system with a scalable routing network. NVMTS 2015: 1-4
Coauthor Index
aka: Guangshe Zhao
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