A new computing rule for neuromorphic engineering. - Lei Deng 003; Dong Wang; Guoqi Li; Ziyang Zhang; Jing Pei (NVMTS, 2015)

Real-time tracking based on neuromrophic vision. - Hongmin Li 002; Jing Pei; Guoqi Li (NVMTS, 2015)

FPGA-based neuromorphic computing system with a scalable routing network. - Dong Wang; Lei Deng 003; Pei Tang; Cheng Ma; Jing Pei (NVMTS, 2015)

Extensible neuromorphic computing simulator based on a programmable hardware. - Shikai Wang; Cheng Ma; Dong Wang; Jing Pei (NVMTS, 2015)

Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework. - Lei Deng 003; Peng Jiao; Jing Pei; Zhenzhi Wu; Guoqi Li (CoRR, 2017)

Training deep neural networks with discrete state transition. - Guoqi Li; Lei Deng 003; Lei Tian 004; Haotian Cui; Wentao Han; Jing Pei; Luping Shi (Neurocomputing, 2018)

GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. - Lei Deng 003; Peng Jiao; Jing Pei; Zhenzhi Wu; Guoqi Li (Neural Networks, 2018)

Bridging adversarial samples and adversarial networks. - Faqiang Liu; Mingkun Xu; Guoqi Li; Jing Pei; Luping Shi (CoRR, 2019)

Transfer Learning in General Lensless Imaging through Scattering Media. - Yukuan Yang; Lei Deng 003; Peng Jiao; Yansong Chua; Jing Pei; Cheng Ma; Guoqi Li (CoRR, 2019)

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. - Daiheng Gao; Zhenzhi Wu; Yujie Wu 002; Guoqi Li; Jing Pei (HBAI@IJCAI, 2020)

Brain-inspired global-local hybrid learning towards human-like intelligence. - Yujie Wu 002; Rong Zhao; Jun Zhu 001; Feng Chen; Mingkun Xu; Guoqi Li; Sen Song; Lei Deng 003; Guanrui Wang; Hao Zheng; Jing Pei; Youhui Zhang; et al. (CoRR, 2020)

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. - Lei Deng 003; Guanrui Wang; Guoqi Li; Shuangchen Li; Ling Liang; Maohua Zhu; Yujie Wu 002; Zheyu Yang; Zhe Zou; Jing Pei; Zhenzhi Wu; Xing Hu 001; et al. (IEEE J. Solid State Circuits, 2020)

SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. - Lei Deng 003; Yuan Xie 001; Ling Liang; Guanrui Wang; Liang Chang 002; Xing Hu 001; Xin Ma; Liu Liu 017; Jing Pei; Guoqi Li (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. - Mingkun Xu; Yujie Wu 002; Lei Deng 003; Faqiang Liu; Guoqi Li; Jing Pei (IJCAI, 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)

Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. - Mingkun Xu; Faqiang Liu; Jing Pei (ICMI Companion, 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; et al. (Sci. Robotics, 2022)

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. - Mingkun Xu; Hao Zheng; Jing Pei; Lei Deng 003 (AGI, 2023)

Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. - Hongyi Li; Mingkun Xu; Jing Pei; Rong Zhao (ICONS, 2023)

Multi-grained system integration for hybrid-paradigm brain-inspired computing. - Jing Pei; Lei Deng 003; Cheng Ma; Xue Liu; Luping Shi (Sci. China Inf. Sci., 2023)

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. - Huifeng Yin; Mingkun Xu; Jing Pei; Lei Deng 003 (CoRR, 2024)

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. - Mingkun Xu; Huifeng Yin; Yujie Wu 002; Guoqi Li; Faqiang Liu; Jing Pei; Shuai Zhong; Lei Deng 003 (CoRR, 2024)

Understanding the functional roles of modelling components in spiking neural networks. - Huifeng Yin; Hanle Zheng; Jiayi Mao; Siyuan Ding; Xing Liu; Mingkun Xu; Yifan Hu; Jing Pei; Lei Deng 003 (Neuromorph. Comput. Eng., 2024)

HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks. - Hongyi Li; Songchen Ma; Taoyi Wang; Weihao Zhang; Guanrui Wang; Chenhang Song; Huanyu Qu; Junfeng Lin; Cheng Ma; Jing Pei; Rong Zhao (IEEE Trans. Computers, 2024)

Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems. - Yukuan Yang; Qihang Fan; Tianyi Yan; Jing Pei; Guoqi Li (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Spike Attention Coding for Spiking Neural Networks. - Jiawen Liu; Yifan Hu; Guoqi Li; Jing Pei; Lei Deng 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. - Mingkun Xu; Faqiang Liu; Yifan Hu; Hongyi Li; Yuanyuan Wei 008; Shuai Zhong; Jing Pei; Lei Deng 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)