Xuming Ran - RankMe

28 papers A* 5B 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Simple Efficiency Incremental Learning Framework via Vision-Language Model with Nonlinear Multi-Adapters. CoRR Haihua Luo, Xuming Ran, Jiangrong Shen, Timo Hämäläinen, Zhonghua Chen, Qi Xu, Fengyu Cong
2026	A*	`conf`	AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals. AAAI Qi Xu, Shuai Gong, Xuming Ran, Haihua Luo, Yangfan Hu
2026	A*	`conf`	Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory. AAAI Huiyan Xue, Xuming Ran, Yaxin Li, Qi Xu, Enhui Li, Yi Xu, Qiang Zhang
2026	J	`jnl`	Key-Value Pair-Free Continual Learner via Task-Specific Prompt-Prototype. CoRR Haihua Luo, Xuming Ran, Zhengji Li, Huiyan Xue, Tingting Jiang, Jiangrong Shen, Tommi Kärkkäinen, Qi Xu, Fengyu Cong
2026	J	`jnl`	Key-value pair-free continual learner via task-specific prompt-prototype. Neural Networks Haihua Luo, Xuming Ran, Zhengji Li, Huiyan Xue, Tingting Jiang, Jiangrong Shen, Tommi Kärkkäinen, Qi Xu, Fengyu Cong
2026	J	`jnl`	Representation Finetuning for Continual Learning. CoRR Haihua Luo, Xuming Ran, Tommi Kärkkäinen, Huiyan Xue, Zhonghua Chen, Qi Xu, Fengyu Cong
2026	J	`jnl`	Reversible Lifelong Model Editing via Semantic Routing-Based LoRA. CoRR Haihua Luo, Xuming Ran, Tommi Kärkkäinen, Zhonghua Chen, Jiangrong Shen, Qi Xu, Fengyu Cong
2025	J	`jnl`	AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals. CoRR Qi Xu, Shuai Gong, Xuming Ran, Haihua Luo, Yangfan Hu
2025	J	`jnl`	Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory. CoRR Huiyan Xue, Xuming Ran, Yaxin Li, Qi Xu, Enhui Li, Yi Xu, Qiang Zhang
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	J	`jnl`	REPAIR: Robust Editing via Progressive Adaptive Intervention and Reintegration. CoRR Yisu Wang, Ming Wang, Haoyuan Song, Wenjie Huang, Chaozheng Wang, Yi Xie, Xuming Ran
2025	J	`jnl`	Robust Sensory Information Reconstruction and Classification With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Sibo Liu, Xuming Ran, Yaxin Li, Jiangrong Shen, Huajin Tang, Jian K. Liu, Gang Pan, Qiang Zhang
2024	B	`conf`	AdaViPro: Region-Based Adaptive Visual Prompt For Large-Scale Models Adapting. ICIP Mengyu Yang, Ye Tian, Lanshan Zhang, Xiao Liang, Xuming Ran, Wendong Wang
2024	J	`jnl`	AdaViPro: Region-based Adaptive Visual Prompt for Large-Scale Models Adapting. CoRR Mengyu Yang, Ye Tian, Lanshan Zhang, Xiao Liang, Xuming Ran, Wendong Wang
2024	A*	`conf`	Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism. ICLR Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan
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`	Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. CoRR Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
2024	J	`jnl`	Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling. Eng. Appl. Artif. Intell. Songming Zhang, Xiaofeng Chen, Xuming Ran, Zhongshan Li, Wenming Cao
2023	A*	`conf`	Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. NeurIPS Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
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	J	`jnl`	Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu
2021	J	`jnl`	Deep Auto-encoder with Neural Response. CoRR Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu
2021	J	`jnl`	Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review. CoRR Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu
2020	J	`jnl`	Bigeminal Priors Variational auto-encoder. CoRR Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu
2020	J	`jnl`	Combining DC-GAN with ResNet for blood cell image classification. Medical Biol. Eng. Comput. Li Ma, Renjun Shuai, Xuming Ran, Wenjia Liu, Chao Ye
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	—	`conf`	Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image. SSCI Lingrui Mei, Xuming Ran, Jin Hu