Yang Li - RankMe

41 papers A* 6B 1Journal 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Matrix-Transformation based Low-Rank Adaptation (MTLoRA): A brain-inspired method for parameter-efficient fine-tuning. Neural Networks Yao Liang, Yuwei Wang, Yang Li, Yi Zeng
2025	A*	`conf`	EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. AAAI Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng
2025	J	`jnl`	Improving stability and performance of spiking neural networks through enhancing temporal consistency. Pattern Recognit. Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng
2025	J	`jnl`	Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence. CoRR Xiang He, Dongcheng Zhao, Yang Li, Qingqun Kong, Xin Yang, Yi Zeng
2025	J	`jnl`	Similarity-based context aware continual learning for spiking neural networks. Neural Networks Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng
2024	A*	`conf`	An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. AAAI Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
2024	J	`jnl`	Brain-inspired and Self-based Artificial Intelligence. CoRR Yi Zeng, Feifei Zhao, Yuxuan Zhao, Dongcheng Zhao, Enmeng Lu, Qian Zhang, Yuwei Wang, Hui Feng, Zhuoya Zhao, Jihang Wang, Qingqun Kong, Yinqian Sun, Yang Li, Guobin Shen, Bing Han, Yiting Dong, Wenxuan Pan, Xiang He, Aorigele Bao, Jin Wang
2024	A*	`conf`	CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. ACM Multimedia Xiang He, Xiangxi Liu, Yang Li, Dongcheng Zhao, Guobin Shen, Qingqun Kong, Xin Yang, Yi Zeng
2024	J	`jnl`	CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. CoRR Xiang He, Xiangxi Liu, Yang Li, Dongcheng Zhao, Guobin Shen, Qingqun Kong, Xin Yang, Yi Zeng
2024	J	`jnl`	Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient. CoRR Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	Directly training temporal Spiking Neural Network with sparse surrogate gradient. Neural Networks Yang Li, Feifei Zhao, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	Efficient Training Spiking Neural Networks with Parallel Spiking Unit. CoRR Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. CoRR Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng
2024	J	`jnl`	MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. Neural Comput. Appl. Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
2024	B	`conf`	Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. IJCNN Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng
2024	J	`jnl`	Similarity-based context aware continual learning for spiking neural networks. CoRR Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng
2024	J	`jnl`	Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference. CoRR Yang Li, Xiang He, Qingqun Kong, Yi Zeng
2024	J	`jnl`	Spiking neural networks with consistent mapping relations allow high-accuracy inference. Inf. Sci. Yang Li, Xiang He, Qingqun Kong, Yi Zeng
2023	J	`jnl`	An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Networks Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
2023	J	`jnl`	Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. CoRR Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Jindong Li, Kang Sun, Yi Zeng
2023	J	`jnl`	BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. Patterns Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi
2023	A*	`conf`	Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. NeurIPS Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
2023	J	`jnl`	Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. CoRR Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
2023	J	`jnl`	Dive into the Power of Neuronal Heterogeneity. CoRR Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng
2023	J	`jnl`	Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency. CoRR Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng
2023	J	`jnl`	Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. CoRR Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng
2023	J	`jnl`	MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. CoRR Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng
2023	J	`jnl`	Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. CoRR Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng
2022	J	`jnl`	An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. CoRR Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
2022	J	`jnl`	BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Neural Networks Dongcheng Zhao, Yi Zeng, Yang Li
2022	J	`jnl`	BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation. CoRR Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi
2022	A*	`conf`	Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. IJCAI Yang Li, Yi Zeng
2022	J	`jnl`	Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. CoRR Yang Li, Yi Zeng
2022	A*	`conf`	Experience: adopting indoor outdoor detection in on-demand food delivery business. MobiCom Pengfei Zhou, Yi Ding, Yang Li, Mo Li, Guobin Shen, Tian He
2022	J	`jnl`	Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization. CoRR Yinqian Sun, Yi Zeng, Yang Li
2022	J	`jnl`	Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. CoRR Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng
2022	J	`jnl`	Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. Inf. Sci. Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang
2021	J	`jnl`	BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. CoRR Yang Li, Yi Zeng, Dongcheng Zhao
2021	J	`jnl`	BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons. CoRR Dongcheng Zhao, Yi Zeng, Yang Li
2021	J	`jnl`	N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. CoRR Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng
2021	J	`jnl`	Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules. CoRR Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang