Luping Shi

According to our database, Luping Shi authored at least 52 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration.

Haoyu Huang, Tong Niu, Rui Yang, Luping Shi

CoRR, 2024

General Automatic Solution Generation of Social Problems.

Tong Niu, Haoyu Huang, Yu Du, Weihao Zhang, Luping Shi, Rong Zhao

CoRR, 2024

Neural Dynamics Pruning for Energy-Efficient Spiking Neural Networks.

Haoyu Huang, Linxuan He, Faqiang Liu, Rong Zhao, Luping Shi

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Multi-grained system integration for hybrid-paradigm brain-inspired computing.

Jing Pei, Lei Deng, Cheng Ma, Xue Liu, Luping Shi

Sci. China Inf. Sci., April, 2023

Brain-inspired multimodal hybrid neural network for robot place recognition.

Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi

Sci. Robotics, 2023

Noether Embedding: Efficient Learning of Temporal Regularities.

Chi Gao, Zidong Zhou, Luping Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual-stream Multi-Modal Graph Neural Network for Few-Shot Learning.

Wenli Zhang, Luping Shi

Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

Coherence in Intelligent Systems.

Hao Zheng, Luping Shi

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence.

Lukai Li, Luping Shi, Rong Zhao

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

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

Sci. Robotics, 2022

Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention.

Hao Zheng, Hui Lin, Rong Zhao, Luping Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao

Neural Networks, 2021

Adversarial Feature Stacking for Accurate and Robust Predictions.

Faqiang Liu, Rong Zhao, Luping Shi

CoRR, 2021

Hybrid neural state machine for neural network.

Lei Tian, Zhenzhi Wu, Shuang Wu, Luping Shi

Sci. China Inf. Sci., 2021

2020

Target Control of Directed Networks based on Network Flow Problems.

Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi

IEEE Trans. Control. Netw. Syst., 2020

Scanning the Issue.

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

Proc. IEEE, 2020

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

Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie

Proc. IEEE, 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

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 J. Solid State Circuits, 2020

Target control and expandable target control of complex networks.

Guoqi Li, Pei Tang, Xumin Chen, Gaoxi Xiao, Min Meng, Cheng Ma, Luping Shi

J. Frankl. Inst., 2020

SSM: a high-performance scheme for in situ training of imprecise memristor neural networks.

Yaoyuan Wang, Shuang Wu, Lei Tian, Luping Shi

Neurocomputing, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.

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

CoRR, 2020

A Hybrid Brain-Inspired Computing Architecture towards Artificial General Intelligence.

Luping Shi

Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020

2019

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

Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi

IEEE Trans. Neural Networks Learn. Syst., 2019

Super-resolution of spatiotemporal event-stream image.

Hongmin Li, Guoqi Li, Luping Shi

Neurocomputing, 2019

Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation.

Hongmin Li, Luping Shi

Frontiers Neurorobotics, 2019

Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi

CoRR, 2019

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.

Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi

CoRR, 2019

Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks.

Yaoyuan Wang, Shuang Wu, Ziyang Zhang, Lei Tian, Luping Shi

CoRR, 2019

Convolution with even-sized kernels and symmetric padding.

Shuang Wu, Guanrui Wang, Pei Tang, Feng Chen, Luping Shi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep representation via convolutional neural network for classification of spatiotemporal event streams.

Hongmin Li, Guoqi Li, Xiangyang Ji, Luping Shi

Neurocomputing, 2018

Training deep neural networks with discrete state transition.

Guoqi Li, Lei Deng, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi

Neurocomputing, 2018

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

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi

CoRR, 2018

Robust event-stream pattern tracking based on correlative filter.

Hongmin Li, Luping Shi

CoRR, 2018

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

Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi

CoRR, 2018

Super-resolution of spatiotemporal event-based image.

Hongmin Li, Guoqi Li, Hanchao Liu, Luping Shi

CoRR, 2018

Training and Inference with Integers in Deep Neural Networks.

Shuang Wu, Guoqi Li, Feng Chen, Luping Shi

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

High-speed video generation with an event camera.

Hanchao Liu, Fang-Lue Zhang, David Marshall, Luping Shi, Shi-Min Hu

Vis. Comput., 2017

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi

CoRR, 2017

2016

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

Guoqi Li, Lei Deng, Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Pei Jing, Luping Shi

Frontiers Comput. Neurosci., 2016

Classification of Spatiotemporal Events Based on Random Forest.

Hongmin Li, Guoqi Li, Luping Shi

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015

Memory Dynamics in Attractor Networks.

Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen

Comput. Intell. Neurosci., 2015

Status, challenges and future trends of brain inspired computing.

Luping Shi

Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2013

A Spike-Timing-Based Integrated Model for Pattern Recognition.

Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi

Neural Comput., 2013

Dynamical properties of continuous attractor neural network with background tuning.

Jiali Yu, Huajin Tang, Haizhou Li, Luping Shi

Neurocomputing, 2013

Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity.

Guoqi Li, Ning Ning, Kiruthika Ramanathan, Wei He, Li Pan, Luping Shi

Int. J. Neural Syst., 2013

Revised online learning with kernels for classification and regression.

Guoqi Li, Ning Ning, Kiruthika Ramanathan, Luping Shi

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Presynaptic Learning and Memory with a Persistent Firing Neuron and a Habituating Synapse: a Model of Short Term Persistent Habituation.

Kiruthika Ramanathan, Ning Ning, Dhiviya Dhanasekar, Guoqi Li, Luping Shi, Prahlad Vadakkepat

Int. J. Neural Syst., 2012

Artificial neuron with somatic and axonal computation units: Mathematical and neuromorphic models of persistent firing neurons.

Ning Ning, Kejie Huang, Luping Shi

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Axonal Slow Integration Induced Persistent Firing Neuron Model.

Ning Ning, Kaijun Yi, Kejie Huang, Luping Shi

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

A Comparison between Growing and Variably Dense Self Organizing Maps for Incremental Learning in Hubel Weisel Models of Concept Representation.

Neo Choon kiat Daniel, Kiruthika Ramanathan, Luping Shi, Prahlad Vadakkepat

Proceedings of the Trends in Intelligent Robotics - 13th FIRA Robot World Congress, 2010

2008

A Neural Network Model for a Hierarchical Spatio-temporal Memory.

Kiruthika Ramanathan, Luping Shi, Jianming Li, Kian Guan Lim, Ming Hui Li, Zhi Ping Ang, Tow Chong Chong

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008