Luping Shi

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 43

Top Topics

Network Flow Problem

Top Venues

Sci. China Inf. Sci.

Publications

Tong Niu, Haoyu Huang, Yu Du, Weihao Zhang, Luping Shi, Rong Zhao
General Automatic Solution Generation of Social Problems. 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)
Wenli Zhang, Luping Shi
Dual-stream Multi-Modal Graph Neural Network for Few-Shot Learning. MIPR (2023)
Chi Gao, Zidong Zhou, Luping Shi
Noether Embedding: Efficient Learning of Temporal Regularities. NeurIPS (2023)
Lukai Li, Luping Shi, Rong Zhao
A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence. AGI (2023)
Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi
Brain-inspired multimodal hybrid neural network for robot place recognition. Sci. Robotics 8 (78) (2023)
Hao Zheng, Luping Shi
Coherence in Intelligent Systems. AGI (2023)
Hao Zheng, Hui Lin, Rong Zhao, Luping Shi
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention. CoRR (2022)
Songchen Ma, Jing Pei, Weihao Zhang, Guanrui Wang, Dahu Feng, Fangwen Yu, Chenhang Song, Huanyu Qu, Cheng Ma, Mingsheng Lu, Faqiang Liu, Wenhao Zhou, Yujie Wu, Yihan Lin, Hongyi Li, Taoyi Wang, Jiuru Song, Xue Liu, Guoqi Li, Rong Zhao, Luping Shi
Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots. Sci. Robotics 7 (67) (2022)
Hao Zheng, Hui Lin, Rong Zhao, Luping Shi
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention. NeurIPS (2022)
Lei Tian, Zhenzhi Wu, Shuang Wu, Luping Shi
Hybrid neural state machine for neural network. Sci. China Inf. Sci. 64 (3) (2021)
Faqiang Liu, Rong Zhao, Luping Shi
Adversarial Feature Stacking for Accurate and Robust Predictions. CoRR (2021)
Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133 (2021)
Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi
Target Control of Directed Networks based on Network Flow Problems. IEEE Trans. Control. Netw. Syst. 7 (2) (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)
Yaoyuan Wang, Shuang Wu, Lei Tian, Luping Shi
SSM: a high-performance scheme for in situ training of imprecise memristor neural networks. Neurocomputing 407 (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)
Luping Shi
A Hybrid Brain-Inspired Computing Architecture towards Artificial General Intelligence. IEEE ICCI*CC (2020)
Guoqi Li, Pei Tang, Xumin Chen, Gaoxi Xiao, Min Meng, Cheng Ma, Luping Shi
Target control and expandable target control of complex networks. J. Frankl. Inst. 357 (6) (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)
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)
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi
Direct Training for Spiking Neural Networks: Faster, Larger, Better. AAAI (2019)
Hongmin Li, Guoqi Li, Luping Shi
Super-resolution of spatiotemporal event-stream image. Neurocomputing 335 (2019)
Shuang Wu, Guanrui Wang, Pei Tang, Feng Chen, Luping Shi
Convolution with even-sized kernels and symmetric padding. CoRR (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)
Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi
Bridging adversarial samples and adversarial networks. CoRR (2019)
Yaoyuan Wang, Shuang Wu, Ziyang Zhang, Lei Tian, Luping Shi
Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks. CoRR (2019)
Hongmin Li, Luping Shi
Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation. Frontiers Neurorobotics 13 (2019)
Shuang Wu, Guanrui Wang, Pei Tang, Feng Chen, Luping Shi
Convolution with even-sized kernels and symmetric padding. NeurIPS (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)
Hongmin Li, Guoqi Li, Han-Chao Liu, Luping Shi
Super-resolution of spatiotemporal event-based image. CoRR (2018)
Hongmin Li, Guoqi Li, Xiangyang Ji, Luping Shi
Deep representation via convolutional neural network for classification of spatiotemporal event streams. Neurocomputing 299 (2018)
Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi
Target Control of Directed Networks based on Network Flow Problems. 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)
Shuang Wu, Guoqi Li, Feng Chen, Luping Shi
Training and Inference with Integers in Deep Neural Networks. ICLR (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)
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi
Direct Training for Spiking Neural Networks: Faster, Larger, Better. CoRR (2018)
Shuang Wu, Guoqi Li, Feng Chen, Luping Shi
Training and Inference with Integers in Deep Neural Networks. CoRR (2018)
Hongmin Li, Luping Shi
Robust event-stream pattern tracking based on correlative filter. CoRR (2018)
Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks. CoRR (2017)
Han-Chao Liu, Fang-Lue Zhang, David Marshall, Luping Shi, Shi-Min Hu
High-speed video generation with an event camera. Vis. Comput. 33 (6-8) (2017)
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 (2016)
Hongmin Li, Guoqi Li, Luping Shi
Classification of Spatiotemporal Events Based on Random Forest. BICS (2016)
Luping Shi
Status, challenges and future trends of brain inspired computing. ICCI*CC (2015)
Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen
Memory Dynamics in Attractor Networks. Comput. Intell. Neurosci. 2015 (2015)
Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi
A Spike-Timing-Based Integrated Model for Pattern Recognition. Neural Comput. 25 (2) (2013)
Jiali Yu, Huajin Tang, Haizhou Li, Luping Shi
Dynamical properties of continuous attractor neural network with background tuning. Neurocomputing 99 (2013)
Guoqi Li, Ning Ning, Kiruthika Ramanathan, Wei He, Li Pan, Luping Shi
Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity. Int. J. Neural Syst. 23 (4) (2013)
Guoqi Li, Ning Ning, Kiruthika Ramanathan, Luping Shi
Revised online learning with kernels for classification and regression. CIDM (2013)
Ning Ning, Kejie Huang, Luping Shi
Artificial neuron with somatic and axonal computation units: Mathematical and neuromorphic models of persistent firing neurons. IJCNN (2012)
Kiruthika Ramanathan, Ning Ning, Dhiviya Dhanasekar, Guoqi Li, Luping Shi, Prahlad Vadakkepat
Presynaptic Learning and Memory with a Persistent Firing Neuron and a Habituating Synapse: a Model of Short Term Persistent Habituation. Int. J. Neural Syst. 22 (4) (2012)
Ning Ning, Kaijun Yi, Kejie Huang, Luping Shi
Axonal Slow Integration Induced Persistent Firing Neuron Model. ICONIP (1) (2011)
Neo Choon kiat Daniel, Kiruthika Ramanathan, Luping Shi, Prahlad Vadakkepat
A Comparison between Growing and Variably Dense Self Organizing Maps for Incremental Learning in Hubel Weisel Models of Concept Representation. FIRA (2010)
Kiruthika Ramanathan, Luping Shi, Jianming Li, Kian Guan Lim, Ming Hui Li, Zhi Ping Ang, Tow Chong Chong
A Neural Network Model for a Hierarchical Spatio-temporal Memory. ICONIP (1) (2008)