Xiaolong Zou

Orcid: 0000-0001-9397-6480

According to our database1, Xiaolong Zou authored at least 27 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Visual information processing through the interplay between fine and coarse signal pathways.
Neural Networks, September, 2023

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction.
CoRR, 2023

Learning and processing the ordinal information of temporal sequences in recurrent neural circuits.
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.
Neural Networks, 2022

Towards a New Paradigm for Brain-inspired Computer Vision.
Int. J. Autom. Comput., 2022

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction.
CoRR, 2022

2021
A brain-inspired computational model for spatio-temporal information processing.
Neural Networks, 2021

A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems.
Adv. Intell. Syst., 2021

A Just-In-Time Compilation Approach for Neural Dynamics Simulation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Unsupervised Few-Shot Feature Learning via Self-Supervised Training.
Frontiers Comput. Neurosci., 2020

Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways.
CoRR, 2020

An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Unsupervised Few-shot Learning via Self-supervised Training.
CoRR, 2019

Spatiotemporal Information Processing with a Reservoir Decision-making Network.
CoRR, 2019

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently.
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.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Neural Information Processing in Hierarchical Prototypical Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
The risk probability criterion for discounted continuous-time Markov decision processes.
Discret. Event Dyn. Syst., 2017

Learning a Continuous Attractor Neural Network from Real Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Verifiable conditions for average optimality of continuous-time Markov decision processes.
Oper. Res. Lett., 2016

On the Phase Relationship between Excitatory and Inhibitory Neurons in Oscillation.
Frontiers Comput. Neurosci., 2016

2015
Another set of verifiable conditions for average Markov decision processes with Borel spaces.
Kybernetika, 2015

A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release.
Frontiers Comput. Neurosci., 2015

2013
Prediction for the development data of oil field with multi-variable phase space reconstruction method and support vector machines.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013


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