Real-time tracking based on neuromrophic vision. - Hongmin Li 002; Jing Pei; Guoqi Li 004 (NVMTS, 2015)

Real-time Tracking Based on Neuromrophic Vision. - Hongmin Li 002; Pei Jing; Guoqi Li 004 (CoRR, 2015)

Classification of Spatiotemporal Events Based on Random Forest. - Hongmin Li 002; Guoqi Li 004; Luping Shi (BICS, 2016)

Super-resolution of spatiotemporal event-based image. - Hongmin Li 002; Guoqi Li 004; Hanchao Liu; Luping Shi (CoRR, 2018)

Deep representation via convolutional neural network for classification of spatiotemporal event streams. - Hongmin Li 002; Guoqi Li 004; Xiangyang Ji; Luping Shi (Neurocomputing, 2018)

Towards the minimum-cost control of target nodes in directed networks with linear dynamics. - Leitao Gao; Guangshe Zhao; Guoqi Li 004; Lei Deng 003; Fei Zeng (J. Frankl. Inst., 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 004 (Neural Networks, 2018)

Super-resolution of spatiotemporal event-stream image. - Hongmin Li 002; Guoqi Li 004; Luping Shi (Neurocomputing, 2019)

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. - Daiheng Gao; Zhenzhi Wu; Yujie Wu 002; Guoqi Li 004; Jing Pei (HBAI@IJCAI, 2020)