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2020 – today
- 2024
[c11]Zhiqiang Chen, Yang Chen, Xiaolong Zou, Shan Yu:
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding. AAAI 2024: 11462-11470- [c10]Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI 2024: 15456-15465 - [c9]Xiaolong Zou, Xingxing Cao, Xiaojiao Yang, Bo Hong:
Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing. ICML 2024 - 2023
- [j11]Xiaolong Zou, Zilong Ji, Tianqiu Zhang, Tiejun Huang
, Si Wu:
Visual information processing through the interplay between fine and coarse signal pathways. Neural Networks 166: 692-703 (2023) - [c8]Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi:
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits. NeurIPS 2023 - [i5]Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR abs/2303.02875 (2023) - 2022
- [j10]Xiaolong Zou, Tie-Jun Huang, Si Wu:
Towards a New Paradigm for Brain-inspired Computer Vision. Int. J. Autom. Comput. 19(5): 412-424 (2022) - [j9]Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu:
Neural feedback facilitates rough-to-fine information retrieval. Neural Networks 151: 349-364 (2022) - [i4]Chen Liang, Bowen Wang, Shaogang Hao, Guangyong Chen, Pheng-Ann Heng, Xiaolong Zou:
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction. CoRR abs/2209.07300 (2022) - 2021
- [j8]Yunpeng Guo, Xiaolong Zou, Yifan Hu, Yifei Yang, Xinxin Wang, Yuhan He, Ruikai Kong, Yuzheng Guo, Guoqi Li, Wei Zhang, Si Wu, Huanglong Li:
A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems. Adv. Intell. Syst. 3(11): 2100054 (2021) - [j7]Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu, Yuanyuan Mi:
A brain-inspired computational model for spatio-temporal information processing. Neural Networks 143: 74-87 (2021) - [c7]Chaoming Wang, Yingqian Jiang, Xinyu Liu, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Si Wu:
A Just-In-Time Compilation Approach for Neural Dynamics Simulation. ICONIP (3) 2021: 15-26 - 2020
- [j6]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Unsupervised Few-Shot Feature Learning via Self-Supervised Training. Frontiers Comput. Neurosci. 14: 83 (2020) - [c6]Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu:
An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification. ECCV (28) 2020: 20-36 - [i3]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways. CoRR abs/2009.05101 (2020)
2010 – 2019
- 2019
- [c5]Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu:
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently. NeurIPS 2019: 5702-5711 - [i2]Yuanyuan Mi, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu:
Spatiotemporal Information Processing with a Reservoir Decision-making Network. CoRR abs/1907.12071 (2019) - [i1]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Unsupervised Few-shot Learning via Self-supervised Training. CoRR abs/1912.12178 (2019) - 2018
- [c4]Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang, Si Wu:
Learning, Storing, and Disentangling Correlated Patterns in Neural Networks. ICONIP (3) 2018: 506-514 - [c3]Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Si Wu:
Neural Information Processing in Hierarchical Prototypical Networks. ICONIP (3) 2018: 603-611 - 2017
- [j5]Haifeng Huo, Xiaolong Zou, Xianping Guo:
The risk probability criterion for discounted continuous-time Markov decision processes. Discret. Event Dyn. Syst. 27(4): 675-699 (2017) - [c2]Xiaolong Zou, Zilong Ji, Xiao Liu, Yuanyuan Mi, K. Y. Michael Wong, Si Wu:
Learning a Continuous Attractor Neural Network from Real Images. ICONIP (4) 2017: 622-631 - 2016
- [j4]Xiaolong Zou, Da-Hui Wang:
On the Phase Relationship between Excitatory and Inhibitory Neurons in Oscillation. Frontiers Comput. Neurosci. 10: 138 (2016) - [j3]Xiaolong Zou, Yonghui Huang:
Verifiable conditions for average optimality of continuous-time Markov decision processes. Oper. Res. Lett. 44(6): 742-746 (2016) - 2015
- [j2]Tao Wang, Luping Yin, Xiaolong Zou, Yousheng Shu, Malte J. Rasch, Si Wu:
A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release. Frontiers Comput. Neurosci. 9: 153 (2015) - [j1]Xiaolong Zou, Xianping Guo:
Another set of verifiable conditions for average Markov decision processes with Borel spaces. Kybernetika 51(2): 276-292 (2015) - 2013
- [c1]Hong Liu, Jiangxin Feng, Shuoliang Wang, Xiaolong Zou, Jing Zhou, Jun Yang:
Prediction for the development data of oil field with multi-variable phase space reconstruction method and support vector machines. ICCI*CC 2013: 498-502
Coauthor Index
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