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Luping Shi
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2020 – today
- 2025
- [c18]Haoyu Huang, Tong Niu, Rui Yang, Luping Shi:
RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration. COLING 2025: 448-458 - 2024
- [c17]Haoyu Huang, Linxuan He, Faqiang Liu, Rong Zhao, Luping Shi:
Neural Dynamics Pruning for Energy-Efficient Spiking Neural Networks. ICME 2024: 1-6 - [i16]Tong Niu, Haoyu Huang, Yu Du, Weihao Zhang, Luping Shi, Rong Zhao:
General Automatic Solution Generation of Social Problems. CoRR abs/2401.13945 (2024) - [i15]Haoyu Huang, Tong Niu, Rui Yang, Luping Shi:
RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration. CoRR abs/2409.15461 (2024) - 2023
- [j23]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) - [j22]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) - [c16]Lukai Li, Luping Shi, Rong Zhao:
A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence. AGI 2023: 197-206 - [c15]Hao Zheng, Luping Shi:
Coherence in Intelligent Systems. AGI 2023: 357-366 - [c14]Wenli Zhang, Luping Shi:
Dual-stream Multi-Modal Graph Neural Network for Few-Shot Learning. MIPR 2023: 65-70 - [c13]Chi Gao, Zidong Zhou, Luping Shi:
Noether Embedding: Efficient Learning of Temporal Regularities. NeurIPS 2023 - 2022
- [j21]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) - [c12]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 - [i14]Hao Zheng, Hui Lin, Rong Zhao, Luping Shi:
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention. CoRR abs/2211.06027 (2022) - 2021
- [j20]Lei Tian, Zhenzhi Wu, Shuang Wu, Luping Shi:
Hybrid neural state machine for neural network. Sci. China Inf. Sci. 64(3) (2021) - [j19]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao:
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133: 148-156 (2021) - [i13]Faqiang Liu, Rong Zhao, Luping Shi:
Adversarial Feature Stacking for Accurate and Robust Predictions. CoRR abs/2103.13124 (2021) - 2020
- [j18]Yaoyuan Wang, Shuang Wu, Lei Tian, Luping Shi:
SSM: a high-performance scheme for in situ training of imprecise memristor neural networks. Neurocomputing 407: 270-280 (2020) - [j17]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): 3541-3564 (2020) - [j16]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): 2228-2246 (2020) - [j15]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): 483-484 (2020) - [j14]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): 485-532 (2020) - [j13]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): 673-685 (2020) - [c11]Luping Shi:
A Hybrid Brain-Inspired Computing Architecture towards Artificial General Intelligence. IEEE ICCI*CC 2020: 2 - [i12]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 abs/2006.03226 (2020)
2010 – 2019
- 2019
- [j12]Hongmin Li, Luping Shi:
Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation. Frontiers Neurorobotics 13: 82 (2019) - [j11]Hongmin Li, Guoqi Li, Luping Shi:
Super-resolution of spatiotemporal event-stream image. Neurocomputing 335: 206-214 (2019) - [j10]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): 2043-2051 (2019) - [c10]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. AAAI 2019: 1311-1318 - [c9]Shuang Wu, Guanrui Wang, Pei Tang, Feng Chen, Luping Shi:
Convolution with even-sized kernels and symmetric padding. NeurIPS 2019: 1192-1203 - [i11]Shuang Wu, Guanrui Wang, Pei Tang, Feng Chen, Luping Shi:
Convolution with even-sized kernels and symmetric padding. CoRR abs/1903.08385 (2019) - [i10]Yaoyuan Wang, Shuang Wu, Ziyang Zhang, Lei Tian, Luping Shi:
Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks. CoRR abs/1906.02393 (2019) - [i9]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 abs/1909.12942 (2019) - [i8]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. CoRR abs/1912.09670 (2019) - 2018
- [j9]Guoqi Li, Lei Deng, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi:
Training deep neural networks with discrete state transition. Neurocomputing 272: 154-162 (2018) - [j8]Hongmin Li, Guoqi Li, Xiangyang Ji, Luping Shi:
Deep representation via convolutional neural network for classification of spatiotemporal event streams. Neurocomputing 299: 1-9 (2018) - [c8]Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. ICLR 2018 - [i7]Hongmin Li, Guoqi Li, Hanchao Liu, Luping Shi:
Super-resolution of spatiotemporal event-based image. CoRR abs/1802.02398 (2018) - [i6]Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. CoRR abs/1802.04680 (2018) - [i5]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR abs/1802.09769 (2018) - [i4]Hongmin Li, Luping Shi:
Robust event-stream pattern tracking based on correlative filter. CoRR abs/1803.06490 (2018) - [i3]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. CoRR abs/1809.05793 (2018) - [i2]Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi:
Target Control of Directed Networks based on Network Flow Problems. CoRR abs/1811.12024 (2018) - 2017
- [j7]Hanchao Liu, Fang-Lue Zhang, David Marshall, Luping Shi, Shi-Min Hu:
High-speed video generation with an event camera. Vis. Comput. 33(6-8): 749-759 (2017) - [i1]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks. CoRR abs/1706.02609 (2017) - 2016
- [j6]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: 136 (2016) - [c7]Hongmin Li, Guoqi Li, Luping Shi:
Classification of Spatiotemporal Events Based on Random Forest. BICS 2016: 138-148 - 2015
- [j5]Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen:
Memory Dynamics in Attractor Networks. Comput. Intell. Neurosci. 2015: 191745:1-191745:7 (2015) - [c6]Luping Shi:
Status, challenges and future trends of brain inspired computing. ICCI*CC 2015: 7 - 2013
- [j4]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) - [j3]Jiali Yu, Huajin Tang, Haizhou Li, Luping Shi:
Dynamical properties of continuous attractor neural network with background tuning. Neurocomputing 99: 439-447 (2013) - [j2]Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi:
A Spike-Timing-Based Integrated Model for Pattern Recognition. Neural Comput. 25(2): 450-472 (2013) - [c5]Guoqi Li, Ning Ning, Kiruthika Ramanathan, Luping Shi:
Revised online learning with kernels for classification and regression. CIDM 2013: 275-279 - 2012
- [j1]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) - [c4]Ning Ning, Kejie Huang, Luping Shi:
Artificial neuron with somatic and axonal computation units: Mathematical and neuromorphic models of persistent firing neurons. IJCNN 2012: 1-7 - 2011
- [c3]Ning Ning, Kaijun Yi, Kejie Huang, Luping Shi:
Axonal Slow Integration Induced Persistent Firing Neuron Model. ICONIP (1) 2011: 469-476 - 2010
- [c2]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: 282-289
2000 – 2009
- 2008
- [c1]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: 428-435
Coauthor Index
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last updated on 2025-01-23 21:31 CET by the dblp team
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