Qiang Yu - RankMe

48 papers A* 2A 1B 6Misc 2Journal 24Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Combining aggregated attention and transformer architecture for accurate and efficient performance of Spiking Neural Networks. Neural Networks Hangming Zhang, Alexander G. Sboev, Roman B. Rybka, Qiang Yu
2024	J	`jnl`	Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks. CoRR Hangming Zhang, Alexander G. Sboev, Roman B. Rybka, Qiang Yu
2023	J	`jnl`	Deep Spike Learning With Local Classifiers. IEEE Trans. Cybern. Chenxiang Ma, Rui Yan, Zhaofei Yu, Qiang Yu
2023	J	`jnl`	Improving Multispike Learning With Plastic Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Jialu Gao, Jianguo Wei, Jing Li, Kay Chen Tan, Tie-Jun Huang
2023	—	`conf`	Time-Warp-Invariant Processing with Multi-spike Learning. ICONIP (8) Xiaohan Zhou, Yuzhe Liu, Wei Sun, Qiang Yu
2022	J	`jnl`	Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan
2022	A	`conf`	Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model. INTERSPEECH Qiang Xu, Tongtong Song, Longbiao Wang, Hao Shi, Yuqin Lin, Yongjie Lv, Meng Ge, Qiang Yu, Jianwu Dang
2022	J	`jnl`	Synaptic Learning With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan
2022	J	`jnl`	Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Shiming Song, Chenxiang Ma, Jianguo Wei, Shengyong Chen, Kay Chen Tan
2022	J	`jnl`	Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Trans. Cybern. Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
2021	B	`conf`	A Deep Spike Learning through Critical Time Points. IJCNN Chenxiang Ma, Junhai Xu, Qiang Yu
2021	J	`jnl`	Efficient learning with augmented spikes: A case study with image classification. Neural Networks Shiming Song, Chenxiang Ma, Wei Sun, Junhai Xu, Jianwu Dang, Qiang Yu
2021	J	`jnl`	Numerical Spiking Neural P Systems. IEEE Trans. Neural Networks Learn. Syst. Tingfang Wu, Linqiang Pan, Qiang Yu, Kay Chen Tan
2021	J	`jnl`	Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
2021	B	`conf`	Temporal Dependent Local Learning for Deep Spiking Neural Networks. IJCNN Chenxiang Ma, Junhai Xu, Qiang Yu
2020	—	`conf`	AugMapping: Accurate and Efficient Inference with Deep Double-Threshold Spiking Neural Networks. SSCI Chenxiang Ma, Qiang Yu
2020	—	`conf`	Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding. ICONIP (3) Shiming Song, Chenxiang Ma, Qiang Yu
2020	J	`jnl`	Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes. CoRR Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan
2020	A*	`conf`	New Efficient Multi-Spike Learning for Fast Processing and Robust Learning. AAAI Shenglan Li, Qiang Yu
2020	J	`jnl`	Synaptic Learning with Augmented Spikes. CoRR Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan
2020	J	`jnl`	Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. CoRR Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
2019	—	`conf`	A Matching Pursuit Approach for Image Classification with Spiking Neural Networks. SSCI Shiming Song, Qiang Yu, Longbiao Wang, Jianwu Dang
2019	Misc	`conf`	A Multi-spike Approach for Robust Sound Recognition. ICASSP Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang
2019	B	`conf`	A Spiking Neural Network with Distributed Keypoint Encoding for Robust Sound Recognition. IJCNN Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang
2019	—	`conf`	An integrated system for robust gender classification with convolutional restricted Boltzmann machine and spiking neural network. SSCI Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang
2019	A*	`conf`	Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. IJCAI Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang
2019	J	`jnl`	Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. CoRR Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
2019	—	`conf`	Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks. ICANN (4) Yanli Yao, Qiang Yu, Longbiao Wang, Jianwu Dang
2019	J	`jnl`	Spike Timing or Rate? Neurons Learn to Make Decisions for Both Through Threshold-Driven Plasticity. IEEE Trans. Cybern. Qiang Yu, Haizhou Li, Kay Chen Tan
2018	—	`conf`	Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD. ICONIP (1) Qiang Yu, Longbiao Wang, Jianwu Dang
2018	—	`conf`	Gender-Aware CNN-BLSTM for Speech Emotion Recognition. ICANN (1) Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Qiang Yu
2017	—	`book`	Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach Qiang Yu, Huajin Tang, Jun Hu, Kay Chen Tan
2017	—	`conf`	Neuronal Classifier for both Rate and Timing-Based Spike Patterns. ICONIP (6) Qiang Yu, Longbiao Wang, Jianwu Dang
2016	J	`jnl`	A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li
2014	J	`jnl`	A brain-inspired spiking neural network model with temporal encoding and learning. Neurocomputing Qiang Yu, Huajin Tang, Kay Chen Tan, Haoyong Yu
2014	B	`conf`	A new learning rule for classification of spatiotemporal spike patterns. IJCNN Qiang Yu, Huajin Tang, Kay Chen Tan
2014	—	`conf`	Event-driven simulation of the tempotron spiking neuron. BioCAS Bo Zhao, Qiang Yu, Ruoxi Ding, Shoushun Chen, Huajin Tang
2013	—	`conf`	A bio-inspired feedforward system for categorization of AER motion events. BioCAS Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang
2013	J	`jnl`	Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Huajin Tang, Kay Chen Tan, Haizhou Li
2013	Misc	`conf`	Temporal coding of local spectrogram features for robust sound recognition. ICASSP Jonathan William Dennis, Qiang Yu, Huajin Tang, Tran Huy Dat, Haizhou Li
2012	B	`conf`	Learning real-world stimuli by single-spike coding and tempotron rule. IJCNN Huajin Tang, Qiang Yu, Kay Chen Tan
2012	B	`conf`	Pattern recognition computation in a spiking neural network with temporal encoding and learning. IJCNN Qiang Yu, Kay Chen Tan, Huajin Tang
2011	—	`conf`	Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons. ICONIP (1) Chin Hiong Tan, Eng Yeow Cheu, Jun Hu, Qiang Yu, Huajin Tang
2009	J	`jnl`	A hybrid evolutionary algorithm for attribute selection in data mining. Expert Syst. Appl. Kay Chen Tan, Eu Jin Teoh, Qiang Yu, K. C. Goh
2006	J	`jnl`	A Dual-Objective Evolutionary Algorithm for Rules Extraction in Data Mining. Comput. Optim. Appl. Kay Chen Tan, Qiang Yu, Ji Hua Ang
2006	J	`jnl`	A coevolutionary algorithm for rules discovery in data mining. Int. J. Syst. Sci. Kay Chen Tan, Qiang Yu, Ji Hua Ang
2005	J	`jnl`	A distributed evolutionary classifier for knowledge discovery in data mining. IEEE Trans. Syst. Man Cybern. Part C Kay Chen Tan, Qiang Yu, Tong Heng Lee
2003	J	`jnl`	Evolutionary computing for knowledge discovery in medical diagnosis. Artif. Intell. Medicine Kay Chen Tan, Qiang Yu, C. M. Heng, Tong Heng Lee