Lei Deng

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 111

Top Venues

CoRR

Neural Networks

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
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 (2024)
Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. CoRR (2024)
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)
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) (2023)
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) (2023)
Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng
A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. AGI (2023)
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) (2023)
Jianyu Xu, Hanwen Zhang, Ling Liang, Lei Deng, Yuan Xie, Guoqi Li
NP-Hardness of Tensor Network Contraction Ordering. CoRR (2023)
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) (2023)
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) (2022)
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)
Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li
Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks. CoRR (2022)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. NeurIPS (2022)
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 (2022)
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) (2022)
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) (2022)
Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li
Attention Spiking Neural Networks. CoRR (2022)
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) (2022)
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)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. CoRR (2022)
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) (2022)
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) (2022)
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) (2021)
Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks. CoRR (2021)
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)
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) (2021)
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)
Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR (2021)
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)
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 (2021)
Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li
Nonlinear tensor train format for deep neural network compression. Neural Networks 144 (2021)
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 (2021)
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) (2021)
Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li
Going Deeper With Directly-Trained Larger Spiking Neural Networks. AAAI (2021)
Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li
Advancing Residual Learning towards Powerful Deep Spiking Neural Networks. CoRR (2021)
Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li
Training and inference for integer-based semantic segmentation network. Neurocomputing 454 (2021)
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)
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 (2021)
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) (2021)
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) (2021)
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 (2021)
Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan
Sampling methods for efficient training of graph convolutional networks: A survey. CoRR (2021)
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) (2021)
Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li
Hybrid Tensor Decomposition in Neural Network Compression. CoRR (2020)
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 (2020)
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)
Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li
Hybrid tensor decomposition in neural network compression. Neural Networks 132 (2020)
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) (2020)
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 (2020)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li
Training and Inference for Integer-Based Semantic Segmentation Network. CoRR (2020)
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)
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) (2020)
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)
Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu
Compressing 3DCNNs based on tensor train decomposition. Neural Networks 131 (2020)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
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)
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 (2020)
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)
Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. CoRR (2020)
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 (2020)
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) (2020)
Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
Characterizing and Understanding GCNs on GPU. CoRR (2020)
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 (2020)
Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li
Going Deeper With Directly-Trained Larger Spiking Neural Networks. CoRR (2020)
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi
Direct Training for Spiking Neural Networks: Faster, Larger, Better. AAAI (2019)
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)
Qi Zhao, Lei Deng, Guoqi Li, Guanrui Wang, Cheng Ma
Efficient Mapping without Deadlock on the Many-core Neural Network Chip. ICCA (2019)
Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM (2019)
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 (2019)
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)
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 (2019)
Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) (2019)
Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. CoRR (2019)
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)
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 (2019)
Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li
Transfer Learning in General Lensless Imaging through Scattering Media. CoRR (2019)
Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. CoRR (2019)
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)
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 (2019)
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 (2019)
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) (2019)
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) (2018)
Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie
HitNet: Hybrid Ternary Recurrent Neural Network. NeurIPS (2018)
Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie
In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR (2018)
Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
Crossbar-aware neural network pruning. CoRR (2018)
Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR (2018)
Guoqi Li, Lei Deng, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi
Training deep neural networks with discrete state transition. Neurocomputing 272 (2018)
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 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lei Deng