Publications

Google Scholar

Journals

Temporal Dendritic Heterogeneity Incorporated with Spiking Neural Networks for Learning Multi-timescale Dynamics. (link)

Hanle Zheng, Zhong Zheng, Rui Hu, Bo Xiao, Yujie Wu, Fangwen Yu, Xue Liu, Guoqi Li, Lei Deng.
Nature Communications 15, 277 (2024).

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. (Accepted)

Mingkun Xu, Faqiang Liu, Yifan Hu, Jing Pei, Lei Deng (correspondence).
IEEE Transactions on Neural Networks and Learning Systems (2024).

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. (link)

Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie.
IEEE Transactions on Neural Networks and Learning Systems 34, 2791-2805 (2023).

Spike Attention Coding for Spiking Neural Networks. (link)

Jiawen Liu, Yifan Hu, Guoqi Li, Jing Pei, Lei Deng (correspondence).
IEEE Transactions on Neural Networks and Learning Systems (2023).

Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. (link)

Ling Liang, Xing Hu, Lei Deng (correspondence), Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie.
IEEE Transactions on Neural Networks and Learning Systems 34, 2569-2583 (2023).

Multi-grained System Integration for Hybrid-paradigm Brain-inspired Computing. (link)

Jing Pei, Lei Deng (co-first), Cheng Ma, Xue Liu, Luping Shi.
Science China Information Sciences 66, 142403 (2023).

Attention Spiking Neural Networks. (link)

Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).

Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. (link)

Dingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li.
IEEE Transactions on Neural Networks and Learning Systems 34, 2205-2219 (2023).

Efficient Processing of Sparse Tensor Decomposition via Unified Abstraction and PE-interactive Architecture. (link)

Bangyan Wang, Lei Deng (correspondence), Zheng Qu, Zheng Zhang, Yuan Xie.
IEEE Transactions on Computers 71, 266-281 (2022).

Hardware-Enabled Efficient Data Processing with Tensor-Train Decomposition. (link)

Zheng Qu, Lei Deng (correspondence), Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, 372-385 (2022).

General Spiking Neural Network Framework for the Learning Trajectory from A Noisy mmWave Radar. (link)

Xin Liu, Mingyu Yan, Lei Deng (correspondence), Yujie Wu, De Han, Guoqi Li, Xiaochun Ye, Dongrui Fan.
Neuromorphic Computing and Engineering 2, 034013 (2022).

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. (link)

Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng (correspondence), Guoqi Li, Peng Li, Yuan Xie.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, 4782-4796 (2022).

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. (link)

Zhaodong Chen, Lei Deng (co-first), Bangyan Wang, Guoqi Li, Yuan Xie.
IEEE Transactions on Pattern Analysis and Machine Intelligence 44, 13-31 (2022).

Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization. (link)

Yukuan Yang, Xiaowei Chi, Lei Deng, Tianyi Yan, Feng Gao, Guoqi Li.
Neurocomputing 511, 175-186 (2022).

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey. (link)

Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan.
IEEE/CAA Journal of Automatica Sinica 9, 205-234 (2022).

Multi-layer Rotation Memory Model-based Correlation Filter for Visual Tracking. (link)

Yufei Zhao, Yong Song, Guoqi Li, Lei Deng, Yashuo Bai, Xiyan Wu.
Frontiers in Physics 10, 1003517 (2022).

A Systematic View of Model Leakage Risks in Deep Neural Network Systems. (link)

Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie.
IEEE Transactions on Computers 71, 3254-3267 (2022).

STPAcc: Structural TI-based Pruning for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. (link)

Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, 1358-1370 (2022).

Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics. (link)

Yihan Lin, Jiawei Sun, Guoqi Li, Gaoxi Xiao, Changyun Wen, Lei Deng, H. Eugene Stanley.
IEEE/CAA Journal of Automatica Sinica 9, 635-651 (2022).

Brain-inspired Global-Local Learning Incorporated with Neuromorphic Computing. (pdf)

Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Songchen Ma, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi.
Nature Communications 13, 65 (2022).

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. (link)

Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, 936-949 (2022).

Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning. (link)

Lei Deng (correspondence), Huajin Tang, Kaushik Roy.
Frontiers in Computational Neuroscience 15, 665662 (2021).

Fast Search of the Optimal Contraction Sequence in Tensor Networks. (link)

Ling Liang, Jianyu Xu, Lei Deng (correspondence), Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie.
IEEE Journal of Selected Topics in Signal Processing 15, 574-586 (2021). (Cover Paper)

Practical Deep Neural Network Attacks through Memory Trojaning. (link)

Xing Hu, Yang Zhao, Lei Deng (correspondence), Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 40, 1230-1243 (2021).

Effective and Efficient Batch Normalization Using A Few Uncorrelated Data for Statistics Estimation. (link)

Zhaodong Chen, Lei Deng (co-first), Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie.
IEEE Transactions on Neural Networks and Learning Systems 32, 348-362 (2021).

Tensor Train Decomposition for Solving Large-Scale Linear Equations. (link)

Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li.
Neurocomputing 464, 203-217 (2021).

Training and Inference for Integer-based Semantic Segmentation Network. (link)

Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie.
Neurocomputing 454, 101-112 (2021).

PLSAV: Parallel Loop Searching and Verifying for Loop Closure Detection. (pdf)

Zhe Yang, Yun Pan, Lei Deng, Yuan Xie, Ruohong Huan.
IET Intelligent Transport Systems, 1-16 (2021).

QTTNet: Quantized Tensor Train Neural Networks for 3D Object and Video Recognition. (link)

Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li.
Neural Networks (2021).

ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks. (link)

Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li.
Frontiers in Neuroscience 15, 726582 (2021).

Target Controllability of Two-layer Multiplex Networks based on Network Flow Theory. (link)

Kun Song, Guoqi Li, Xumin Chen, Lei Deng, Gaoxi Xiao, Fei Zeng, Jing Pei.
IEEE Transactions on Cybernetics 51, 2699-2711 (2021).

Hardware Acceleration for GCNs via Bidirectional Fusion. (link)

Han Li, Mingyu Yan, Xiaocheng Yang, Lei Deng, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie.
IEEE Computer Architecture Letters 20, 66-69 (2021).

Nonlinear Tensor Train Format for Deep Neural Network Compression. (link)

Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li.
Neural Networks 144, 320-333 (2021).

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey. (link)

Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie.
Proceedings of the IEEE 108, 485-532 (2020). (Cover Paper)

Tianjic: A Unified and Scalable Chip Bridging Spike-based and Continuous Neural Computation. (link)

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.
IEEE Journal of Solid-State Circuits 55, 2228-2246 (2020).

Rethinking the Performance Comparison between SNNs and ANNs. (link)

Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie.
Neural Networks 121, 294-307 (2020).

SemiMap: A Semi-folded Convolution Mapping for Speed-Overhead Balance on Crossbars. (link)

Lei Deng, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li, Yuan Xie.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, 117-130 (2020).

Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences. (link)

Weihua He, Yujie Wu, Lei Deng (correspondence), Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie.
Neural Networks 132, 108-120 (2020).

Core Placement Optimization for Neuromorphic Many-core Neural Network Systems with Reinforcement Learning. (link)

Nan Wu, Lei Deng (correspondence), Guoqi Li, Yuan Xie.
ACM Transactions on Design Automation and Electronic Systems 26, 1-27 (2020).

Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers. (link)

Yukuan Yang, Lei Deng (co-first), Shuang Wu, Tianyi Yan, Yuan Xie, Guoqi Li.
Neural Networks 125, 70-82 (2020).

Spiking Neural Network Learning, Benchmarking, Programming, and Executing. (link)

Guoqi Li, Lei Deng (co-first), Yansong Chua, Peng Li, Emre O. Neftci, Haizhou Li.
Frontiers in Neuroscience 14, 276 (2020).

Characterizing and Understanding GCNs on GPU. (link)

Mingyu Yan, Zhaodong Chen, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie.
IEEE Computer Architecture Letters 19, 22-25 (2020).

Compressing 3DCNNs Based on Tensor Train Decomposition. (link)

Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu.
Neural Networks 131, 215-230 (2020).

Hybrid Tensor Decomposition in Neural Network Compression. (link)

Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li.
Neural Networks 132, 309-320 (2020).

A Deadlock-Free Physical Mapping Method on the Many-core Neural Network Chip. (link)

Cheng Ma, Qi Zhao, Guoqi Li, Lei Deng, Guanrui Wang.
Neurocomputing 401, 327-337 (2020).

Power-Efficient Neural Network with Artificial Dendrites. (link)

Xinyi Li, Jianshi Tang, Qingtian Zhang, Bin Gao, J. Joshua Yang, Sen Song, Wei Wu, Wenqiang Zhang, Peng Yao, Ning Deng, Lei Deng, Yuan Xie, He Qian, Huaqiang Wu.
Nature Nanotechnology 15, 776-782 (2020).

Towards Artificial General Intelligence with Hybrid Tianjic Chip Architecture. (link)

Jing Pei, Lei Deng (co-first), Sen Song, Mingguo Zhao, Youhui Zhang, Shuang Wu, Guanrui Wang, Zhe Zou, Zhenzhi Wu, Wei He, Feng Chen, Ning Deng, Si Wu, Yu Wang, Yujie Wu, Zheyu Yang, Cheng Ma, Guoqi Li, Wentao Han, Huanglong Li, Huaqiang Wu, Rong Zhao, Yuan Xie, Luping Shi.
Nature 572, 106-111 (2019). (Cover Paper)

Towards a Polynomial Algorithm for Optimal Contraction Sequence of Tensor Networks from Trees. (link)

Jianyu Xu, Ling Liang, Lei Deng (correspondence), Changyun Wen, Yuan Xie, Guoqi Li.
Physical Review E 100, 043309 (2019).

Containment Control of Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders. (link)

Leitao Gao, Guangshe Zhao, Guoqi Li, Yuming Liu, Jiangshuai Huang, Lei Deng.
Physica A: Statistical Mechanics and its Applications 526, 120859 (2019).

GXNOR-Net: Training Deep Neural Networks with Ternary Weights and Activations without Full-precision Memory under A Unified Discretization Framework. (link)

Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li.
Neural Networks 100, 49-58 (2018).

Fast Object Tracking on a Many-core Neural Network Chip. (link)

Lei Deng, Zhe Zou, Xin Ma, Ling Liang, Guanrui Wang, Xing Hu, Liu Liu, Jing Pei, Guoqi Li, Yuan Xie.
Frontiers in Neuroscience 12, 841 (2018).

L0 Norm Constraint based External Control Source Allocation for the Minimum Cost Control of Directed Networks. (link)

Lei Deng, Guoqi Li, Jing Pei, Jiangshuai Huang.
ISA Transactions 76, 88-96 (2018).

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks. (link)

Yujie Wu, Lei Deng (co-first), Guoqi Li, Jun Zhu, Luping Shi.
Frontiers in Neuroscience 12, 331 (2018).

Enabling Controlling Complex Networks with Local Topological Information. (pdf)

Guoqi Li, Lei Deng (co-first), Gaoxi Xiao, Pei Tang, Changyun Wen, Wuhua Hu, Jing Pei, Luping Shi, H. Eugene Stanley.
Scientific Reports 8, 4593 (2018).

Training Deep Neural Networks with Discrete State Transition. (link)

Guoqi Li, Lei Deng (co-first), Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi.
Neurocomputing 272, 154-162 (2018).

Crossbar-Aware Neural Network Pruning. (pdf)

Ling Liang, Lei Deng (co-first), Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie.
IEEE Access 6, 58324-58337 (2018).

L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. (link)

Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi.
IEEE Transactions on Neural Networks and Learning Systems 30, 2043-2051 (2018).

Towards the Minimum-cost Control of Target Nodes in Directed Networks with Linear Dynamics. (link)

Leitao Gao, Guangshe Zhao, Guoqi Li, Lei Deng, Fei Zeng.
Journal of the Franklin Institute 355, 8141-8157 (2018).

Correlation between the Dzyaloshinskii–Moriya Interaction and Spin-mixing Conductance at an Antiferromagnet / Ferromagnet Interface. (link)

Xin Ma, Guoqiang Yu, Seyed A. Razavi, Liang Chang, Lei Deng, Zhaodong Chu, Congli He, Kang L. Wang, Xiaoqin Li.
Physical Review B 98, 104428 (2018).

Towards a Unified Framework of Matrix Derivatives. (pdf)

Jianyu Xu, Guoqi Li, Changyun Wen, Kun Wu, Lei Deng.
IEEE Access 6, 47922-47934 (2018).

Energy Consumption Analysis for Various Memristive Networks under Different Learning Strategies. (link)

Lei Deng, Dong Wang, Ziyang Zhang, Pei Tang, Guoqi Li, Jing Pei.
Physics Letters A 380, 903-909 (2016).

Temperature based Restricted Boltzmann Machines. (pdf)

Guoqi Li, Lei Deng (co-first), Yi Xu, Changyun Wen, Wei Wang, Jing Pei, Luping Shi.
Scientific Reports 6, 19133 (2016).

Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity. (link)

Guoqi Li, Lei Deng (co-first), Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Jing Pei, Luping Shi.
Frontiers in Computational Neuroscience 10, 136 (2016).

Minimum-cost Control of Complex Networks. (link)

Guoqi Li, Wuhua Hu, Gaoxi Xiao, Lei Deng, Pei Tang, Jing Pei, Luping Shi.
New Journal of Physics 10, 013012 (2016).

Complex Learning in Bio-plausible Memristive Networks. (pdf)

Lei Deng, Guoqi Li, Ning Deng, Dong Wang, Ziyang Zhang, Wei He, Huanglong Li, Jing Pei, Luping Shi.
Scientific Reports 5, 10684 (2015).

Conferences

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. (link)

Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng (correspondence).
in International Conference on Artificial General Intelligence (AGI), Stockholm, Sweden, June 2023.

Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. (link)

Ling Liang, Zhaodong Chen, Lei Deng (correspondence), Fengbin Tu, Guoqi Li, Yuan Xie.
in Design, Automation and Test in Europe Conference & Exhibition (DATE), Virtual Event, March 2022.

Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions. (link)

Arindam Basu, Charlotte Frenkel, Lei Deng, Xueyong Zhang.
in IEEE Custom Integrated Circuits Conference (CICC), Newport Beach, USA, April 2022. (Oral; all authors contribute equally)

A One-for-All and O(Vlog(V))-cost Solution for Parallel Merge Style Operations on Sorted Key-Value Arrays. (link)

Bangyan Wang, Lei Deng, Fei Sun, Guohao Dai, Liu Liu, Yu Wang, Yuan Xie.
in International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Lausanne, Switzerland, February 2022. (acceptance rate: 20%)

Toward Robust Spiking Neural Network against Adversarial Perturbation. (pdf)

Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie.
in Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 2022. (acceptance rate: 25.6%)

Going Deeper with Directly-Trained Larger Spiking Neural Networks. (pdf)

Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li.
in AAAI Conference on Artificial Intelligence (AAAI), Virtual Event, February 2021. (acceptance rate: 21%)

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. (pdf)

Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei.
in International Joint Conference on Artificial Intelligence (IJCAI), Virtual Event, August 2021. (acceptance rate: 13.9%)

SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. (link)

Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie.
in IEEE International Symposium on High Performance Computer Architecture (HPCA), Seoul, South Korea, July 2021. (acceptance rate: 24.4%)

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. (pdf)

Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding.
in USENIX Symposium on Operating Systems Design and Implementation (OSDI), Virtual Event, July 2021. (acceptance rate: 18.8%)

TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. (link)

Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding.
in IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Virtual Event, May 2021.

DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. (link)

Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie.
in IEEE/ACM International Symposium on Microarchitecture (MICRO), Athens, Greece, October 2020. (acceptance rate: 19.4%)

Boosting Deep Neural Network Efficiency with Dual-Module Inference. (pdf)

Liu Liu, Lei Deng (correspondence), Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie.
in International Conference on Machine Learning (ICML), Virtual Event, July 2020. (acceptance rate: 21.8%)

HyGCN: A GCN Accelerator with Hybrid Architecture. (link)

Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie.
in IEEE International Symposium on High Performance Computer Architecture (HPCA), San Diego, USA, February 2020. (acceptance rate: 19.4%)

Transfer Learning in General Lensless Imaging through Scattering Media. (link)

Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li.
in IEEE Conference on Industrial Electronics and Applications (ICIEA), Kristiansand, Norway, June 2020.

DeepSniffer: A DNN Model Extraction Framework based on Learning Architectural Hints. (link)

Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie.
in International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Lausanne, Switzerland, March 2020.

fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. (link)

Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie.
in International Conference on Computer-Aided Design (ICCAD), Virtual Event, November 2020.

Dynamic Sparse Graph for Efficient Deep Learning. (pdf)

Liu Liu, Lei Deng (co-first), Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie.
in International Conference on Learning Representations (ICLR), New Orleans, USA, May 2019.

Direct Training for Spiking Neural Networks: Faster, Larger, Better. (link)

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi.
in AAAI Conference on Artificial Intelligence (AAAI), Howaii, USA, January 2019. (acceptance rate: 16.2%; spotlight paper)

Efficient Mapping without Deadlock on the Many-core Neural Network Chip. (link)

Qi Zhao, Lei Deng, Guoqi Li, Guanrui Wang, Cheng Ma.
in IEEE International Conference on Control & Automation (ICCA), Edinburgh, Scotland, July 2019.

CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. (link)

Jilan Lin, Shuangchen Li, Xing Hu, Lei Deng, Yuan Xie.
in ACM Great Lakes Symposium on VLSI (GLVLSI), Washington DC, USA, May 2019.

Memory Trojan Attack on Neural Network Accelerators. (link)

Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie.
in Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.

Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. (link)

Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie.
in ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Lausanne, Switzerland, July 2019.

Alleviating Irregularity in Graph Analytics Acceleration: A Hardware/Software Co-Design Approach. (link)

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.
in IEEE/ACM International Symposium on Microarchitecture (MICRO), Columbus, USA, October 2019.

TETRIS: Tile-matching the Tremendous Irregular Sparsity. (pdf)

Yu Ji, Ling Liang, Lei Deng, Youyang Zhang, Youhui Zhang, Yuan Xie.
in Advances in Neural Information Processing Systems (NeurIPS) 4115-4125, Montreal, Canada, December 2018. (acceptance rate: 20.8%)

HitNet: Hybrid Ternary Recurrent Neural Network. (pdf)

Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie.
in Advances in Neural Information Processing Systems (NeurIPS) 601-611, Montreal, Canada, December 2018. (acceptance rate: 20.8%)

A New Computing Rule for Neuromorphic Engineering. (link)

Lei Deng, Dong Wang, Ziyang Zhang, Guoqi Li, Jing Pei.
in Non-Volatile Memory Technology Symposium (NVMTS), Beijing, China, October 2015.

FPGA-based Neuromorphic Computing System with a Scalable Routing Network. (link)

Dong Wang, Lei Deng, Pei Tang, Cheng Ma, Jing Pei.
in Non-Volatile Memory Technology Symposium (NVMTS), Beijing, China, October 2015.

Development of A Neuromorphic Computing System. (link)

Luping Shi, Jing Pei, Ning Deng, Dong Wang, Lei Deng, Yu Wang, Youhui Zhang, Feng Chen, Mingguo Zhao, Sen Song, Fei Zeng, Guoqi Li, Huanglong Li, Cheng Ma.
in IEEE International Electron Devices Meeting (IEDM), Washington, DC, USA, December 2015.

Ultra Low Power of Artificial Cognitive Memory for Brain-like Computation. (link)

Lei Deng, Ziyang Zhang, Dong Wang, Jing Pei, Luping Shi.
in IEEE International Nanoelectronics Conference (INEC), Sapporo, Japan, July 2014.