Xiaolong Zou

According to our database, Xiaolong Zou authored at least 26 papers between 2013 and 2024.

Collaborative distances:

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

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, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding.

Zhiqiang Chen, Yang Chen, Xiaolong Zou, Shan Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Visual information processing through the interplay between fine and coarse signal pathways.

Xiaolong Zou, Zilong Ji, Tianqiu Zhang, Tiejun Huang, Si Wu

Neural Networks, September, 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, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

CoRR, 2023

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, Yuanyuan Mi

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

2022

Neural feedback facilitates rough-to-fine information retrieval.

Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu

Neural Networks, 2022

Towards a New Paradigm for Brain-inspired Computer Vision.

Xiaolong Zou, Tie-Jun Huang, Si Wu

Int. J. Autom. Comput., 2022

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

2021

A brain-inspired computational model for spatio-temporal information processing.

Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu, Yuanyuan Mi

Neural Networks, 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, Huanglong Li

Adv. Intell. Syst., 2021

A Just-In-Time Compilation Approach for Neural Dynamics Simulation.

Chaoming Wang, Yingqian Jiang, Xinyu Liu, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Si Wu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Unsupervised Few-Shot Feature Learning via Self-Supervised Training.

Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu

Frontiers Comput. Neurosci., 2020

Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways.

Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu

CoRR, 2020

An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification.

Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unsupervised Few-shot Learning via Self-supervised Training.

Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu

CoRR, 2019

Spatiotemporal Information Processing with a Reservoir Decision-making Network.

Yuanyuan Mi, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu

CoRR, 2019

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently.

Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu

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

2018

Learning, Storing, and Disentangling Correlated Patterns in Neural Networks.

Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang, Si Wu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Neural Information Processing in Hierarchical Prototypical Networks.

Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Si Wu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

The risk probability criterion for discounted continuous-time Markov decision processes.

Haifeng Huo, Xiaolong Zou, Xianping Guo

Discret. Event Dyn. Syst., 2017

Learning a Continuous Attractor Neural Network from Real Images.

Xiaolong Zou, Zilong Ji, Xiao Liu, Yuanyuan Mi, K. Y. Michael Wong, Si Wu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Verifiable conditions for average optimality of continuous-time Markov decision processes.

Xiaolong Zou, Yonghui Huang

Oper. Res. Lett., 2016

On the Phase Relationship between Excitatory and Inhibitory Neurons in Oscillation.

Xiaolong Zou, Da-Hui Wang

Frontiers Comput. Neurosci., 2016

2015

Another set of verifiable conditions for average Markov decision processes with Borel spaces.

Xiaolong Zou, Xianping Guo

Kybernetika, 2015

A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release.

Tao Wang, Luping Yin, Xiaolong Zou, Yousheng Shu, Malte J. Rasch, Si Wu

Frontiers Comput. Neurosci., 2015

2013

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

Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013