Lei Deng (邓磊)

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Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityVerifierad e-postadress på ia.ac.cn
Yuan XieChair Professor of Hong Kong University of Science and Technology (HKUST)Verifierad e-postadress på ust.hk
Yujie WuResearch Assistant Professor, The Hong Kong Polytechnic UniversityVerifierad e-postadress på tsinghua.org.cn
Ling Liangpku.edu.cnVerifierad e-postadress på pku.edu.cn
Xing HuInstitute of Computing Technology, Chinese Academy of SciencesVerifierad e-postadress på ict.ac.cn
Yufei DingUniversity of California, San DiegoVerifierad e-postadress på ucsd.edu
MingYu YanInstitute of Computing Technology, Chinese Academy of Sciences, Beijing, ChinaVerifierad e-postadress på ict.ac.cn
Hanle ZhengDepartment of Precision Instrument, Tsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Liu LiuAssistant Professor, Rensselaer Polytechnic InstituteVerifierad e-postadress på rpi.edu
Peng LiProfessor of Electrical & Computer Engineering, University of California, Santa BarbaraVerifierad e-postadress på ucsb.edu
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerifierad e-postadress på mail.tsinghua.edu.cn
Huaqiang WuTsinghua University, Cornell UniversityVerifierad e-postadress på tsinghua.edu.cn
Song HanMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Fengbin TuAssistant Professor at HKUSTVerifierad e-postadress på ust.hk
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue UniversityVerifierad e-postadress på purdue.edu
Arindam BasuProfessor, City University of Hong Kong (past Associate Professor of EEE at NTU)Verifierad e-postadress på cityu.edu.hk

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Lei Deng (邓磊)

Associate Professor at Tsinghua University

Verifierad e-postadress på mail.tsinghua.edu.cn - Startsida

Brain-inspired Computing Chip Architecture


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 331, 2018	1224	2018
Towards artificial general intelligence with hybrid Tianjic chip architecture J Pei, L Deng, S Song, M Zhao, Y Zhang, S Wu, G Wang, Z Zou, Z Wu, ... Nature 572 (7767), 106, 2019	1066	2019
Model compression and hardware acceleration for neural networks: A comprehensive survey L Deng, G Li, S Han, L Shi, Y Xie Proceedings of the IEEE 108 (4), 485-532, 2020	1003	2020
Direct training for spiking neural networks: Faster, larger, better Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi Proceedings of the AAAI Conference on Artificial Intelligence 33, 1311-1318, 2019	778	2019
Going deeper with directly-trained larger spiking neural networks H Zheng, Y Wu, L Deng, Y Hu, G Li Proceedings of the AAAI conference on artificial intelligence 35 (12), 11062 …, 2021	564	2021
Hygcn: A gcn accelerator with hybrid architecture M Yan, L Deng, X Hu, L Liang, Y Feng, X Ye, Z Zhang, D Fan, Y Xie 2020 IEEE International Symposium on High Performance Computer Architecture …, 2020	366	2020
Rethinking the performance comparison between SNNS and ANNS L Deng, Y Wu, X Hu, L Liang, Y Ding, G Li, G Zhao, P Li, Y Xie Neural networks 121, 294-307, 2020	327	2020
Power-efficient neural network with artificial dendrites X Li, J Tang, Q Zhang, B Gao, JJ Yang, S Song, W Wu, W Zhang, P Yao, ... Nature Nanotechnology 15 (9), 776-782, 2020	239	2020
Deepsniffer: A dnn model extraction framework based on learning architectural hints X Hu, L Liang, S Li, L Deng, P Zuo, Y Ji, X Xie, Y Ding, C Liu, T Sherwood, ... Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020	216*	2020
Attention spiking neural networks M Yao, G Zhao, H Zhang, Y Hu, L Deng, Y Tian, B Xu, G Li IEEE transactions on pattern analysis and machine intelligence 45 (8), 9393-9410, 2023	204	2023
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework L Deng, P Jiao, J Pei, Z Wu, G Li Neural Networks 100, 49-58, 2018	197*	2018
-Norm Batch Normalization for Efficient Training of Deep Neural Networks S Wu, G Li, L Deng, L Liu, D Wu, Y Xie, L Shi IEEE transactions on neural networks and learning systems 30 (7), 2043-2051, 2018	195	2018
{GNNAdvisor}: An adaptive and efficient runtime system for {GNN} acceleration on {GPUs} Y Wang, B Feng, G Li, S Li, L Deng, Y Xie, Y Ding 15th USENIX symposium on operating systems design and implementation (OSDI …, 2021	179	2021
Tianjic: A unified and scalable chip bridging spike-based and continuous neural computation L Deng, G Wang, G Li, S Li, L Liang, M Zhu, Y Wu, Z Yang, Z Zou, J Pei, ... IEEE Journal of Solid-State Circuits 55 (8), 2228-2246, 2020	176	2020
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences W He, YJ Wu, L Deng, G Li, H Wang, Y Tian, W Ding, W Wang, Y Xie Neural Networks 132, 108-120, 2020	166	2020
Sampling methods for efficient training of graph convolutional networks: A survey X Liu, M Yan, L Deng, G Li, X Ye, D Fan IEEE/CAA Journal of Automatica Sinica 9 (2), 205-234, 2021	130	2021
Training high-performance and large-scale deep neural networks with full 8-bit integers Y Yang, L Deng, S Wu, T Yan, Y Xie, G Li Neural Networks, 2020	128	2020
Brain-inspired global-local learning incorporated with neuromorphic computing Y Wu, R Zhao, J Zhu, F Chen, M Xu, G Li, S Song, L Deng, G Wang, ... Nature Communications 13 (1), 65, 2022	109	2022
SpaceA: Sparse matrix vector multiplication on processing-in-memory accelerator X Xie, Z Liang, P Gu, A Basak, L Deng, L Liang, X Hu, Y Xie 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021	102	2021
Advancing spiking neural networks toward deep residual learning Y Hu, L Deng, Y Wu, M Yao, G Li IEEE transactions on neural networks and learning systems 36 (2), 2353-2367, 2024	97	2024

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