Mingkun Xu

According to our database, Mingkun Xu authored at least 34 papers between 2019 and 2025.

Collaborative distances:

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

2025

Efficient ANN-SNN Conversion with Error Compensation Learning.

Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan

CoRR, June, 2025

CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity.

Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu

CoRR, May, 2025

An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection.

Xian-Xian Liu, Yuanyuan Wei, Mingkun Xu, Yongze Guo, Hongwei Zhang, Huicong Dong, Qun Song, Qi Zhao, Wei Luo, Feng Tien, Juntao Gao, Simon Fong

CoRR, April, 2025

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

Mingkun Xu, Faqiang Liu, Yifan Hu, Hongyi Li, Yuanyuan Wei, Shuai Zhong, Jing Pei, Lei Deng

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics.

Yuanyuan Wei, Yucheng Wu, Fuyang Qu, Yao Mu, Yi-Ping Ho, Ho-Pui Ho, Wu Yuan, Mingkun Xu

CoRR, January, 2025

ClingTP: Curriculum Learning based Multi-style Title Prefix Generation.

Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Shuai Zhong, Mingkun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins.

Yao Mu, Tianxing Chen, Zanxin Chen, Shijia Peng, Zhiqian Lan, Zeyu Gao, Zhixuan Liang, Qiaojun Yu, Yude Zou, Mingkun Xu, Lunkai Lin, Zhiqiang Xie, Mingyu Ding, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation.

Tianxing Chen, Yao Mu, Zhixuan Liang, Zanxin Chen, Shijia Peng, Qiangyu Chen, Mingkun Xu, Ruizhen Hu, Hongyuan Zhang, Xuelong Li, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations.

Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency.

Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Understanding the functional roles of modelling components in spiking neural networks.

Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng

Neuromorph. Comput. Eng., 2024

Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach.

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

CoRR, 2024

Brain-inspired continual pre-trained learner via silent synaptic consolidation.

Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu

CoRR, 2024

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning.

Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li

CoRR, 2024

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.

Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng

CoRR, 2024

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks.

Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng

CoRR, 2024

FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation.

Yusong Wang, Ying Zhang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

ELDA: Enhancing Multi-Modal Machine Translation via Large Language Model-Driven Data Augmentation.

Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Shuai Zhong, Mingkun Xu

Proceedings of the 7th International Conference on Machine Learning and Natural Language Processing, 2024

Enhancing Generalization and Convergence in Neural Networks through a Dual-Phase Regularization Approach with Excitatory-Inhibitory Transition.

Mingkun Xu, Huifeng Yin, Shuai Zhong

Proceedings of the International Conference on Electrical, 2024

Efficient Semantic Relationship and Representation Reconstruction Based on Knowledge Graph.

Ailin Song, Huifeng Yin, Shuai Zhong, Mingkun Xu

Proceedings of the International Conference on Electrical, 2024

Advanced Real-Time IoMT System for Early Gastric Cancer Detection through Integrated Grid-Search Multimodal Gating Network and Robust Embedded Technology.

Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei, Huifeng Yin, Simon Fong, Wei Luo, Juntao Gao

Proceedings of the 2024 IEEE Global Communications Conference, 2024

LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation.

Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism.

Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong, Mingkun Xu

Proceedings of the Asian Conference on Machine Learning, 2024

2023

Brain-inspired multimodal hybrid neural network for robot place recognition.

Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi

Sci. Robotics, 2023

Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips.

Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning.

Mingkun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing.

Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022

Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.

Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu

Neural Networks, 2022

Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios.

Mingkun Xu, Faqiang Liu, Jing Pei

Proceedings of the International Conference on Multimodal Interaction, 2022

2021

Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao

Neural Networks, 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.

Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Bigeminal Priors Variational auto-encoder.

Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu

CoRR, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.

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

CoRR, 2020

2019

Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi

CoRR, 2019