Prediction for the development data of oil field with multi-variable phase space reconstruction method and support vector machines. - Hong Liu; Jiangxin Feng; Shuoliang Wang; Xiaolong Zou; Jing Zhou; Jun Yang (ICCI*CC, 2013)

A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release. - Tao Wang 092; Luping Yin; Xiaolong Zou; Yousheng Shu; Malte J. Rasch; Si Wu 001 (Frontiers Comput. Neurosci., 2015)

Another set of verifiable conditions for average Markov decision processes with Borel spaces. - Xiaolong Zou; Xianping Guo (Kybernetika, 2015)

On the Phase Relationship between Excitatory and Inhibitory Neurons in Oscillation. - Xiaolong Zou; Da-Hui Wang (Frontiers Comput. Neurosci., 2016)

Verifiable conditions for average optimality of continuous-time Markov decision processes. - Xiaolong Zou; Yonghui Huang (Oper. Res. Lett., 2016)

Learning a Continuous Attractor Neural Network from Real Images. - Xiaolong Zou; Zilong Ji; Xiao Liu; Yuanyuan Mi; K. Y. Michael Wong; Si Wu 001 (ICONIP (4), 2017)

The risk probability criterion for discounted continuous-time Markov decision processes. - Haifeng Huo; Xiaolong Zou; Xianping Guo (Discret. Event Dyn. Syst., 2017)

Neural Information Processing in Hierarchical Prototypical Networks. - Zilong Ji; Xiaolong Zou; Xiao Liu; Tiejun Huang 001; Yuanyuan Mi; Si Wu 001 (ICONIP (3), 2018)

Learning, Storing, and Disentangling Correlated Patterns in Neural Networks. - Xiaolong Zou; Zilong Ji; Xiao Liu; Tiejun Huang 001; Yuanyuan Mi; Dahui Wang; Si Wu 001 (ICONIP (3), 2018)

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently. - Xiao Liu; Xiaolong Zou; Zilong Ji; Gengshuo Tian; Yuanyuan Mi; Tiejun Huang 001; K. Y. Michael Wong; Si Wu 001 (NeurIPS, 2019)

Spatiotemporal Information Processing with a Reservoir Decision-making Network. - Yuanyuan Mi; Xiaohan Lin; Xiaolong Zou; Zilong Ji; Tiejun Huang 001; Si Wu 001 (CoRR, 2019)

Unsupervised Few-shot Learning via Self-supervised Training. - Zilong Ji; Xiaolong Zou; Tiejun Huang 001; Si Wu 001 (CoRR, 2019)

An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification. - Zilong Ji; Xiaolong Zou; Xiaohan Lin; Xiao Liu; Tiejun Huang 001; Si Wu 001 (ECCV (28), 2020)

Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways. - Zilong Ji; Xiaolong Zou; Tiejun Huang 001; Si Wu 001 (CoRR, 2020)

Unsupervised Few-Shot Feature Learning via Self-Supervised Training. - Zilong Ji; Xiaolong Zou; Tiejun Huang 001; Si Wu 001 (Frontiers Comput. Neurosci., 2020)

A Just-In-Time Compilation Approach for Neural Dynamics Simulation. - Chaoming Wang; Yingqian Jiang; Xinyu Liu; Xiaohan Lin; Xiaolong Zou; Zilong Ji; Si Wu 001 (ICONIP (3), 2021)

A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems. - Yunpeng Guo; Xiaolong Zou; Yifan Hu; Yifei Yang; Xinxin Wang; Yuhan He; Ruikai Kong; Yuzheng Guo; Guoqi Li; Wei Zhang; Si Wu 001; Huanglong Li (Adv. Intell. Syst., 2021)

A brain-inspired computational model for spatio-temporal information processing. - Xiaohan Lin; Xiaolong Zou; Zilong Ji; Tiejun Huang 001; Si Wu 001; Yuanyuan Mi (Neural Networks, 2021)

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. - Chen Liang; Bowen Wang; Shaogang Hao; Guangyong Chen; Pheng-Ann Heng; Xiaolong Zou (CoRR, 2022)

Towards a New Paradigm for Brain-inspired Computer Vision. - Xiaolong Zou; Tie-Jun Huang 001; Si Wu 001 (Int. J. Autom. Comput., 2022)

Neural feedback facilitates rough-to-fine information retrieval. - Xiao Liu; Xiaolong Zou; Zilong Ji; Gengshuo Tian; Yuanyuan Mi; Tiejun Huang 001; K. Y. Michael Wong; Si Wu 001 (Neural Networks, 2022)

Learning and processing the ordinal information of temporal sequences in recurrent neural circuits. - Xiaolong Zou; Zhikun Chu; Qinghai Guo; Jie Cheng; Bo Ho; Si Wu 001; Yuanyuan Mi (NeurIPS, 2023)

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. - Bowen Wang; Chen Liang; Jiaze Wang; Furui Liu; Shaogang Hao; Dong Li 016; Jianye Hao; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (CoRR, 2023)

Visual information processing through the interplay between fine and coarse signal pathways. - Xiaolong Zou; Zilong Ji; Tianqiu Zhang; Tiejun Huang 001; Si Wu 001 (Neural Networks, 2023)

Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding. - Zhiqiang Chen; Yang Chen; Xiaolong Zou; Shan Yu (AAAI, 2024)

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. - Bowen Wang; Chen Liang; Jiaze Wang; Jiezhong Qiu; Furui Liu; Shaogang Hao; Dong Li 016; Guangyong Chen; Xiaolong Zou; Pheng-Ann Heng (AAAI, 2024)

Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing. - Xiaolong Zou; Xingxing Cao; Xiaojiao Yang; Bo Hong (ICML, 2024)