Mingkun Xu - RankMe

56 papers A* 9A 2B 2C 1Misc 1Journal 33Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing the forward-forward algorithm towards high-performance deep local learning. Neural Networks Siyuan Xu, Yujie Wu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li
2026	J	`jnl`	Agri-R1: Empowering Generalizable Agricultural Reasoning in Vision-Language Models with Reinforcement Learning. CoRR Wentao Zhang, Lifei Wang, Lina Lu, Mingkun Xu, Shangyang Li, Yanchao Yang, Tao Fang
2026	J	`jnl`	BMAM: Brain-inspired Multi-Agent Memory Framework. CoRR Yang Li, Jiaxiang Liu, Yusong Wang, Yujie Wu, Mingkun Xu
2026	A*	`conf`	Biologically-Inspired Evolutionary Domain Symbiosis for Few-shot and Zero-shot Point Cloud Semantic Segmentation. AAAI Changshuo Wang, Zhijian Hu, Xiang Fang, Zaiyang Yu, Yibin Wu, Mingkun Xu, Yusong Wang, Xingyu Gao, Prayag Tiwari
2026	J	`jnl`	MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis. CoRR Feng Guo, Jiaxiang Liu, Yang Li, Qianqian Shi, Mingkun Xu
2026	A*	`conf`	MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning. AAAI Yusong Wang, Jialun Shen, Zhihao Wu, Yicheng Xu, Shiyin Tan, Mingkun Xu, Changshuo Wang, Zixing Song, Prayag Tiwari
2026	J	`jnl`	MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning. CoRR Yusong Wang, Jialun Shen, Zhihao Wu, Yicheng Xu, Shiyin Tan, Mingkun Xu, Changshuo Wang, Zixing Song, Prayag Tiwari
2026	J	`jnl`	MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks. CoRR Yongsheng Huang, Peibo Duan, Yujie Wu, Kai Sun, Zhipeng Liu, Jiaxiang Liu, Guangyu Li, Changsheng Zhang, Bin Zhang, Mingkun Xu
2025	J	`jnl`	Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness. IEEE Trans. Neural Networks Learn. Syst. Mingkun Xu, Faqiang Liu, Yifan Hu, Hongyi Li, Yuanyuan Wei, Shuai Zhong, Jing Pei, Lei Deng
2025	J	`jnl`	An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection. CoRR 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
2025	A*	`conf`	BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations. AAAI Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu
2025	J	`jnl`	Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks. CoRR Miao Jing, Mengting Jia, Junling Lin, Zhongxia Shen, Lijun Wang, Yuanyuan Peng, Huan Gao, Mingkun Xu, Shangyang Li
2025	J	`jnl`	Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors. Neuromorph. Comput. Eng. Yifei Yang, Mingkun Xu, Tianhang Zhang, Chenfei Miao, Juan Lyu, Jing Pei, Peng Li, Guoqi Li, Si Wu, Huanglong Li
2025	Misc	`conf`	ClingTP: Curriculum Learning based Multi-style Title Prefix Generation. ICASSP Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Shuai Zhong, Mingkun Xu
2025	J	`jnl`	CogniSNN: A First Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Expandability and Neuroplasticity. CoRR Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu
2025	A	`conf`	CogniSNN: An Exploration to Random Graph Architecture Based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity. ECAI Yongsheng Huang, Peibo Duan, Zhipeng Liu, Kai Sun, Changsheng Zhang, Bin Zhang, Mingkun Xu
2025	A*	`conf`	Efficient ANN-SNN Conversion with Error Compensation Learning. ICML Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan
2025	J	`jnl`	Efficient ANN-SNN Conversion with Error Compensation Learning. CoRR Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan
2025	A*	`conf`	Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance. ICML Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu
2025	A*	`conf`	G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation. CVPR Tianxing Chen, Yao Mu, Zhixuan Liang, Zanxin Chen, Shijia Peng, Qiangyu Chen, Mingkun Xu, Ruizhen Hu, Hongyuan Zhang, Xuelong Li, Ping Luo
2025	J	`jnl`	Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics. CoRR Yuanyuan Wei, Yucheng Wu, Fuyang Qu, Yao Mu, Yi-Ping Ho, Ho-Pui Ho, Wu Yuan, Mingkun Xu
2025	J	`jnl`	Modest-Align: Data-Efficient Alignment for Vision-Language Models. CoRR Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Mingkun Xu, Zuozhu Liu
2025	A*	`conf`	Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. AAAI Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu
2025	B	`conf`	Orchestrating Spiking Dynamics with Dendritic Activation Functionality for Bolstering Expressivity and Learning Efficiency. IJCNN Mingkun Xu, Runxi Tang, Yusong Wang, Shuai Zhong
2025	A*	`conf`	RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins. CVPR 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
2025	J	`jnl`	RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins. CoRR 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
2025	J	`jnl`	Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models. CoRR Jiaxiang Liu, Jiawei Du, Xiao Liu, Prayag Tiwari, Mingkun Xu
2024	B	`conf`	Advanced Real-Time IoMT System for Early Gastric Cancer Detection through Integrated Grid-Search Multimodal Gating Network and Robust Embedded Technology. GLOBECOM Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei, Huifeng Yin, Simon Fong, Wei Luo, Juntao Gao
2024	J	`jnl`	Brain-inspired continual pre-trained learner via silent synaptic consolidation. CoRR Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu
2024	J	`jnl`	Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. CoRR Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li
2024	—	`conf`	ELDA: Enhancing Multi-Modal Machine Translation via Large Language Model-Driven Data Augmentation. MLNLP Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Shuai Zhong, Mingkun Xu
2024	—	`conf`	Efficient Semantic Relationship and Representation Reconstruction Based on Knowledge Graph. ICECET Ailin Song, Huifeng Yin, Shuai Zhong, Mingkun Xu
2024	J	`jnl`	Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach. CoRR 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
2024	—	`conf`	Enhancing Generalization and Convergence in Neural Networks through a Dual-Phase Regularization Approach with Excitatory-Inhibitory Transition. ICECET Mingkun Xu, Huifeng Yin, Shuai Zhong
2024	J	`jnl`	Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. CoRR Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng
2024	—	`conf`	FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation. PRICAI (2) Yusong Wang, Ying Zhang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura
2024	J	`jnl`	G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation. CoRR Tianxing Chen, Yao Mu, Zhixuan Liang, Zanxin Chen, Shijia Peng, Qiangyu Chen, Mingkun Xu, Ruizhen Hu, Hongyuan Zhang, Xuelong Li, Ping Luo
2024	—	`conf`	LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation. EMNLP (Findings) Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura
2024	J	`jnl`	Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. CoRR Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu
2024	C	`conf`	Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism. ACML Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong, Mingkun Xu
2024	J	`jnl`	Understanding the Functional Roles of Modelling Components in Spiking Neural Networks. CoRR Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng
2024	J	`jnl`	Understanding the functional roles of modelling components in spiking neural networks. Neuromorph. Comput. Eng. Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng
2024	J	`jnl`	Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. CoRR Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng
2023	—	`conf`	A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. AGI Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng
2023	J	`jnl`	Brain-inspired multimodal hybrid neural network for robot place recognition. Sci. Robotics Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi
2023	—	`conf`	Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. ICONS Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao
2023	A	`conf`	Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. CIKM Mingkun Xu
2022	J	`jnl`	Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
2022	—	`conf`	Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. ICMI Companion Mingkun Xu, Faqiang Liu, Jing Pei
2021	J	`jnl`	Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao
2021	A*	`conf`	Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. IJCAI Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
2021	J	`jnl`	Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
2020	J	`jnl`	Bigeminal Priors Variational auto-encoder. CoRR Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu
2020	J	`jnl`	Brain-inspired global-local hybrid learning towards human-like intelligence. CoRR 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
2020	J	`jnl`	Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
2019	J	`jnl`	Bridging adversarial samples and adversarial networks. CoRR Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi