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2020 – today
- 2024
[j4]Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding
, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng:
Understanding the functional roles of modelling components in spiking neural networks. Neuromorph. Comput. Eng. 4(3): 34009 (2024)- [c7]Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura:
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation. EMNLP (Findings) 2024: 15240-15253 - [c6]Yusong Wang, Ying Zhang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura:
FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation. PRICAI (2) 2024: 334-346 - [i13]Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng:
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks. CoRR abs/2403.16674 (2024) - [i12]Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng:
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. CoRR abs/2403.17040 (2024) - [i11]Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng:
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. CoRR abs/2407.20508 (2024) - [i10]Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li:
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. CoRR abs/2408.14925 (2024) - [i9]Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu:
Brain-inspired continual pre-trained learner via silent synaptic consolidation. CoRR abs/2410.05899 (2024) - [i8]Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei, Huafeng Qin, Qun Song, Simon Fong, Feng Tien, Wei Luo, Juntao Gao, Zhihua Zhang, Shirley W. I. Siu:
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach. CoRR abs/2411.14385 (2024) - [i7]Tianxing Chen, Yao Mu, Zhixuan Liang, Zanxin Chen, Shijia Peng, Qiangyu Chen, Mingkun Xu, Ruizhen Hu, Hongyuan Zhang, Xuelong Li, Ping Luo:
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation. CoRR abs/2411.18369 (2024) - [i6]Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu:
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. CoRR abs/2412.12801 (2024) - 2023
- [j3]Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi:
Brain-inspired multimodal hybrid neural network for robot place recognition. Sci. Robotics 8(78) (2023) - [c5]Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng:
A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. AGI 2023: 345-356 - [c4]Mingkun Xu:
Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. CIKM 2023: 5193-5195 - [c3]Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao:
Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. ICONS 2023: 21:1-21:8 - 2022
- [j2]Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu:
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks 145: 199-208 (2022) - [c2]Mingkun Xu, Faqiang Liu, Jing Pei:
Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. ICMI Companion 2022: 12-17 - 2021
- [j1]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao:
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133: 148-156 (2021) - [c1]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. IJCAI 2021: 3207-3213 - [i5]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR abs/2107.06865 (2021) - 2020
- [i4]Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi:
Brain-inspired global-local hybrid learning towards human-like intelligence. CoRR abs/2006.03226 (2020) - [i3]Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu:
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR abs/2007.08128 (2020) - [i2]Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu:
Bigeminal Priors Variational auto-encoder. CoRR abs/2010.01819 (2020)
2010 – 2019
- 2019
- [i1]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. CoRR abs/1912.09670 (2019)
Coauthor Index
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