Bridging adversarial samples and adversarial networks. - Faqiang Liu; Mingkun Xu; Guoqi Li; Jing Pei; Luping Shi (CoRR, 2019)

Brain-inspired global-local hybrid learning towards human-like intelligence. - Yujie Wu 002; Rong Zhao; Jun Zhu 001; Feng Chen; Mingkun Xu; Guoqi Li; Sen Song; Lei Deng 003; Guanrui Wang; Hao Zheng; Jing Pei; Youhui Zhang; et al. (CoRR, 2020)

Bigeminal Priors Variational auto-encoder. - Xuming Ran; Mingkun Xu; Qi Xu; Huihui Zhou; Quanying Liu (CoRR, 2020)

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. - Mingkun Xu; Yujie Wu 002; Lei Deng 003; Faqiang Liu; Guoqi Li; Jing Pei (IJCAI, 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)

Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. - Mingkun Xu; Faqiang Liu; Jing Pei (ICMI Companion, 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)

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. - Mingkun Xu; Hao Zheng; Jing Pei; Lei Deng 003 (AGI, 2023)

Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. - Mingkun Xu (CIKM, 2023)

Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. - Hongyi Li; Mingkun Xu; Jing Pei; Rong Zhao (ICONS, 2023)

Brain-inspired multimodal hybrid neural network for robot place recognition. - Fangwen Yu; Yujie Wu 002; Songchen Ma; Mingkun Xu; Hongyi Li; Huanyu Qu; Chenhang Song; Taoyi Wang; Rong Zhao; Luping Shi (Sci. Robotics, 2023)

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 (ACML, 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 (EMNLP (Findings), 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 008; Huifeng Yin; Simon Fong 001; Wei Luo; Juntao Gao (GLOBECOM, 2024)

Efficient Semantic Relationship and Representation Reconstruction Based on Knowledge Graph. - Ailin Song; Huifeng Yin; Shuai Zhong; Mingkun Xu (ICECET, 2024)

Enhancing Generalization and Convergence in Neural Networks through a Dual-Phase Regularization Approach with Excitatory-Inhibitory Transition. - Mingkun Xu; Huifeng Yin; Shuai Zhong (ICECET, 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 (MLNLP, 2024)

FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation. - Yusong Wang; Ying Zhang 065; Dongyuan Li; Jialun Shen; Yicheng Xu; Mingkun Xu; Kotaro Funakoshi; Manabu Okumura (PRICAI (2), 2024)

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. - Huifeng Yin; Mingkun Xu; Jing Pei; Lei Deng 003 (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 002; Guoqi Li; Faqiang Liu; Jing Pei; Shuai Zhong; Lei Deng 003 (CoRR, 2024)

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. - Yujie Wu 002; Siyuan Xu; Jibin Wu; Lei Deng 003; Mingkun Xu; Qinghao Wen; Guoqi Li (CoRR, 2024)

Brain-inspired continual pre-trained learner via silent synaptic consolidation. - Xuming Ran; Juntao Yao; Yusong Wang; Mingkun Xu; Dianbo Liu (CoRR, 2024)

Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach. - Xian-Xian Liu; Mingkun Xu; Yuanyuan Wei 008; Huafeng Qin; Qun Song 007; Simon Fong 001; Feng Tien; Wei Luo; Juntao Gao; Zhihua Zhang; Shirley W. I. Siu (CoRR, 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 003 (Neuromorph. Comput. Eng., 2024)

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 (AAAI, 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 (AAAI, 2025)

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation. - Tianxing Chen; Yao Mu 001; Zhixuan Liang; Zanxin Chen; Shijia Peng; Qiangyu Chen; Mingkun Xu; Ruizhen Hu; Hongyuan Zhang 001; Xuelong Li 001; Ping Luo 002 (CVPR, 2025)

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins. - Yao Mu 001; Tianxing Chen; Zanxin Chen; Shijia Peng; Zhiqian Lan; Zeyu Gao; Zhixuan Liang; Qiaojun Yu; Yude Zou; Mingkun Xu; Lunkai Lin; Zhiqiang Xie; et al. (CVPR, 2025)

ClingTP: Curriculum Learning based Multi-style Title Prefix Generation. - Yusong Wang; Dongyuan Li; Jialun Shen; Yicheng Xu; Shuai Zhong; Mingkun Xu (ICASSP, 2025)

Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics. - Yuanyuan Wei 008; Yucheng Wu; Fuyang Qu; Yao Mu 001; Yi-Ping Ho; Ho-Pui Ho; Wu Yuan 001; Mingkun Xu (CoRR, 2025)

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. - Mingkun Xu; Faqiang Liu; Yifan Hu; Hongyi Li; Yuanyuan Wei 008; Shuai Zhong; Jing Pei; Lei Deng 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)

An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection. - Xian-Xian Liu; Yuanyuan Wei 008; Mingkun Xu; Yongze Guo; Hongwei Zhang; Huicong Dong; Qun Song 007; Qi Zhao; Wei Luo; Feng Tien; Juntao Gao; Simon Fong 001 (CoRR, 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 001; Bin Zhang 001; Mingkun Xu (CoRR, 2025)

Efficient ANN-SNN Conversion with Error Compensation Learning. - Chang Liu; Jiangrong Shen; Xuming Ran; Mingkun Xu; Qi Xu; Yi Xu 008; Gang Pan 001 (CoRR, 2025)