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ORCIDLei 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
![[0000-0002-0584-1146]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0584-1146")
— 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
- 2025
[j50]Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Songwen Pei, Lei Deng, Xiaochun Ye, Dongrui Fan:
DropNaE: Alleviating irregularity for large-scale graph representation learning. Neural Networks 183: 106930 (2025)- 2024
- [j49]Lei Deng, Huajin Tang, Kaushik Roy:
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II. Frontiers Comput. Neurosci. 18 (2024) - [j48]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. Neuromorph. Comput. Eng. 4(3): 34009 (2024) - [j47]Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass:
Brain-Inspired Computing: A Systematic Survey and Future Trends. Proc. IEEE 112(6): 544-584 (2024) - [j46]Jiawen Liu, Yifan Hu, Guoqi Li, Jing Pei, Lei Deng:
Spike Attention Coding for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18892-18898 (2024) - [i43]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) - [i42]Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng:
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. CoRR abs/2403.17040 (2024) - [i41]Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng:
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. CoRR abs/2407.20508 (2024) - [i40]Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li:
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. CoRR abs/2408.14925 (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]