Hong Qu

125 papers A* 5A 1B 6C 1Misc 8Journal 85Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
A bionic spiking recurrent neural network with sparse connections and Dale's principle for image and speech recognition.
Digit. Signal Process.
Yun Zhang, Lang Xue, Xiaoling Luo, Ping Li, Hong Qu
2026 J jnl
A bionic spiking sequence memory model with minicolumns, dendrites and oscillation for text retrieval.
Expert Syst. Appl.
Yun Zhang, Xinlin Pu, Xiaoling Luo, Ping Li, Hong Qu
2026 J jnl
BioMotion-SNN: Spiking neural network modeling for visual motion processing.
Neural Networks
Ying Liu, Jiajun Mei, Tingting Feng, Tao Zhang, Hong Qu, Yi Zhang
2026 J jnl
Dual-Policy Fusion for Multitask Multiagent Reinforcement Learning.
IEEE Trans. Cybern.
Yandong Chen, Wei Cheng, Naizhuo Zeng, Mingsheng Fu, Liwei Huang, Hong Qu, Zhang Yi
2026 J jnl
Spiking neural network analysis of MT-MST pathways in biological motion processing.
Neurocomputing
Yun Zhang, Ying Liu, Tingting Feng, Tao Zhang, Hong Qu, Yi Zhang
2025 J jnl
A Neurodynamic-Diversity-Based Spiking Network Model for Text Classification.
IEEE Trans. Cogn. Dev. Syst.
Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu
2025 J jnl
A fully value distributional deep reinforcement learning framework for multi-agent cooperation.
Neural Networks
Mingsheng Fu, Liwei Huang, Fan Li, Hong Qu, Chengzhong Xu
2025 J jnl
Enhancing text understanding of decoder-based model by leveraging parameter-efficient fine-tuning method.
Neural Comput. Appl.
Wasif Feroze, Shaohuan Cheng, Elias Lemuye Jimale, Abdul Naveed Jakhro, Hong Qu
2025 J jnl
Improving lightweight semi-supervised text classification via teacher intervention.
Appl. Soft Comput.
Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Hong Qu
2025 J jnl
Incremental model-based reinforcement learning with model constraint.
Neural Networks
Zhiyou Yang, Mingsheng Fu, Hong Qu, Fan Li, Shuqing Shi, Wang Hu
2025 J jnl
Q-ADER: An Effective Q-Learning for Recommendation With Diminishing Action Space.
IEEE Trans. Neural Networks Learn. Syst.
Fan Li, Hong Qu, Liyan Zhang, Mingsheng Fu, Wenyu Chen, Zhang Yi
2025 J jnl
Retina-Inspired Lightweight Spiking Convolutional Neural Network for Single-Image Dehazing.
IEEE Trans. Neural Networks Learn. Syst.
Ya Zhang, Xiaoling Luo, Qian Sun, Yuchen Wang, Hong Qu, Zhang Yi
2025 J jnl
Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.
Neural Networks
Ying Liu, Xiaoling Luo, Ya Zhang, Yun Zhang, Wei Zhang, Hong Qu
2024 — conf
A Multiscale Resonant Spiking Neural Network for Music Classification.
ICANN (4)
Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu
2024 J jnl
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks.
Neural Networks
Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu
2024 J jnl
Biologically Plausible Sparse Temporal Word Representations.
IEEE Trans. Neural Networks Learn. Syst.
Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu
2024 J jnl
ChainFrame: A Chain Framework for Point Cloud Classification.
IEEE Trans. Ind. Informatics
Tianlei Wang, Mingsheng Fu, Keyu Chen, Fan Li, Hong Qu, Ma Luo
2024 J jnl
Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation.
Knowl. Based Syst.
Chao Zhai, Yuhui Du, Hong Qu, Tianlei Wang, Fan Zhang, Mingsheng Fu, Wenyu Chen
2024 J jnl
Dynamic training for handling textual label noise.
Appl. Intell.
Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Li Zhou, Honglin Zhao, Weishan Kong, Hong Qu, Mingsheng Fu
2024 J jnl
Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Fan Li, Mingsheng Fu, Wenyu Chen, Fan Zhang, Haixian Zhang, Hong Qu, Zhang Yi
2024 Misc conf
MLPs Compass: What is Learned When MLPs are Combined with PLMs?
ICASSP
Li Zhou, Wenyu Chen, Yong Cao, DingYi Zeng, Wanlong Liu, Hong Qu
2024 J jnl
MLPs Compass: What is learned when MLPs are combined with PLMs?
CoRR
Li Zhou, Wenyu Chen, Yong Cao, DingYi Zeng, Wanlong Liu, Hong Qu
2024 J jnl
Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.
IEEE Trans. Neural Networks Learn. Syst.
Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Zhang Yi
2024 — conf
SpikeFusionNet: A Hybrid Approach to Robotic Fault Diagnosis Using Spiking Neural Dynamics.
ICIC (LNAI 4)
Ying Liu, Wei Zhang, Xiaoling Luo, Yun Zhang, Hong Qu
2024 J jnl
State Augmentation via Self-Supervision in Offline Multiagent Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst.
Siying Wang, Xiaodie Li, Hong Qu, Wenyu Chen
2023 J jnl
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.
IEEE Trans. Ind. Informatics
Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu
2023 B conf
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator.
IJCNN
Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu
2023 J jnl
A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning.
IEEE Trans. Cybern.
Zhiyou Yang, Hong Qu, Mingsheng Fu, Wang Hu, Yongze Zhao
2023 J jnl
A biologically inspired auto-associative network with sparse temporal population coding.
Neural Networks
Ya Zhang, Kexin Shi, Xiaoling Luo, Yi Chen, Yucheng Wang, Hong Qu
2023 — conf
A retina-inspired neural model for single image haze removal.
ACAI
Yun Zhang, Qian Sun, Keyu Du, Hong Qu
2023 — conf
Adaptive Textual Label Noise Learning based on Pre-trained Models.
EMNLP (Findings)
Shaohuan Cheng, Wenyu Chen, Mingsheng Fu, Xuanting Xie, Hong Qu
2023 — conf
An Empirical Perspective on Learning-to-rank.
ICCAI
Fan Li, Wenyu Chen, Zhiyou Yang, Mingsheng Fu, Yun Zhang, Hong Qu
2023 J jnl
CARLG: Leveraging Contextual Clues and Role Correlations for Improving Document-level Event Argument Extraction.
CoRR
Wanlong Liu, Wenyu Chen, DingYi Zeng, Li Zhou, Hong Qu
2023 J jnl
DPGNN: Dual-perception graph neural network for representation learning.
Knowl. Based Syst.
Li Zhou, Wenyu Chen, DingYi Zeng, Shaohuan Cheng, Wanlong Liu, Malu Zhang, Hong Qu
2023 — conf
I2PN: Improved Image Projection Network for OCTA image segmentation.
ACAI
Tianlei Wang, Hong Qu, Keyu Chen, Ma Luo, Chao Zhai, Bopeng Fang
2023 J jnl
Improving Readability for Automatic Speech Recognition Transcription.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng
2023 J jnl
Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information.
IEEE Trans. Syst. Man Cybern. Syst.
Fan Li, Hong Qu, Mingsheng Fu, Liyan Zhang, Fan Zhang, Wenyu Chen, Ruixuan Sun, Haixian Zhang
2023 J jnl
Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning.
Knowl. Based Syst.
Siying Wang, Wenyu Chen, Liwei Huang, Fan Zhang, Zhitong Zhao, Hong Qu
2023 Misc conf
Rethinking Random Walk in Graph Representation Learning.
ICASSP
DingYi Zeng, Wenyu Chen, Wanlong Liu, Li Zhou, Hong Qu
2023 J jnl
Revisiting Graph Meaning Representations through Decoupling Contextual Representation Learning and Structural Information Propagation.
CoRR
Li Zhou, Wenyu Chen, DingYi Zeng, Hong Qu, Daniel Hershcovich
2023 A* conf
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks.
IJCAI
Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu
2023 A* conf
Substructure Aware Graph Neural Networks.
AAAI
DingYi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu
2023 J jnl
Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.
IEEE Trans. Neural Networks Learn. Syst.
Xiaoling Luo, Hong Qu, Yuchen Wang, Zhang Yi, Jilun Zhang, Malu Zhang
2023 A* conf
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation.
ICCV
Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen
2022 Misc conf
A Simple Graph Neural Network via Layer Sniffer.
ICASSP
DingYi Zeng, Li Zhou, Wanlong Liu, Hong Qu, Wenyu Chen
2022 — conf
Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning.
PRICAI (1)
Siying Wang, Hongfei Du, Wenyu Chen, Hong Qu
2022 J jnl
An Attention-Based Interactive Learning-to-Rank Model for Document Retrieval.
IEEE Trans. Syst. Man Cybern. Syst.
Fan Zhang, Wenyu Chen, Mingsheng Fu, Fan Li, Hong Qu, Zhang Yi
2022 J jnl
Deep Reinforcement Learning Framework for Category-Based Item Recommendation.
IEEE Trans. Cybern.
Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu
2022 B conf
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder.
IJCNN
Wanlong Liu, Li Zhou, DingYi Zeng, Hong Qu
2022 Misc conf
Gradual Surrogate Gradient Learning in Deep Spiking Neural Networks.
ICASSP
Yi Chen, Silin Zhang, Shiyu Ren, Hong Qu
2022 J jnl
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li
2022 J jnl
Sequential multi-headed attention for entity-based relational neural networks.
Expert Syst. J. Knowl. Eng.
Dagmawi Moges, Jiaxu Zhao, Hong Qu
2022 A* conf
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion.
IJCAI
Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu
2022 J jnl
Summarization With Self-Aware Context Selecting Mechanism.
IEEE Trans. Cybern.
Li Huang, Wenyu Chen, Yuguo Liu, Shuai Hou, Hong Qu
2022 — conf
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.
ICONIP (4)
Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu
2021 J jnl
A Dual-Perception Graph Neural Network with Multi-hop Graph Generator.
CoRR
Li Zhou, Wenyu Chen, DingYi Zeng, Shaohuan Cheng, Wanlong Liu, Hong Qu
2021 J jnl
A deep reinforcement learning based long-term recommender system.
Knowl. Based Syst.
Liwei Huang, Mingsheng Fu, Fan Li, Hong Qu, Yangjun Liu, Wenyu Chen
2021 J jnl
A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems.
Expert Syst. Appl.
Liwei Huang, Mingsheng Fu, Hong Qu, Siying Wang, Shangqian Hu
2021 J jnl
A new recursive least squares-based learning algorithm for spiking neurons.
Neural Networks
Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, Yuchen Wang, Malu Zhang, Zefang Li
2021 Misc conf
Accelerating Transformer for Neural Machine Translation.
ICMLC
Li Huang, Wenyu Chen, Hong Qu
2021 B conf
Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network.
IJCNN
Yuchen Wang, Xiaobin Wang, Hong Qu, Ya Zhang, Yi Chen, Xiaoling Luo
2021 A* conf
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information.
AAAI
Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang
2021 Misc conf
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model.
ICASSP
Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng
2021 J jnl
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model.
CoRR
Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng
2021 J jnl
H∞ estimation for stochastic semi-Markovian switching CVNNs with missing measurements and mode-dependent delays.
Neural Networks
Qiang Li, Jinling Liang, Hong Qu
2021 B conf
Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders.
IJCNN
Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng
2021 J jnl
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders.
CoRR
Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng
2021 J jnl
Improving neural machine translation using gated state network and focal adaptive attention networtk.
Neural Comput. Appl.
Li Huang, Wenyu Chen, Yuguo Liu, He Zhang, Hong Qu
2021 Misc conf
Multi-Perspective Reasoning Transformers.
ICMLC
Dagmawi Alemu Moges, Rubungo Andre Niyongabo, Hong Qu
2021 J jnl
Spatial division networks for weakly supervised detection.
Neural Comput. Appl.
Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao
2021 J jnl
The effect of coefficients on the continuous attractors in coupled Highway Neural Networks.
Neurocomputing
Wenshuang Chen, Jiali Yu, Zhang Yi, Hong Qu
2021 — conf
Twin-GAN for Neural Machine Translation.
ICAART (2)
Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu
2021 J jnl
Weakly supervised image classification and pointwise localization with graph convolutional networks.
Pattern Recognit.
Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao
2020 A conf
A Weighted GCN with Logical Adjacency Matrix for Relation Extraction.
ECAI
Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu
2020 J jnl
An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing.
IEEE J. Sel. Top. Signal Process.
Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li
2020 J jnl
An end-to-end functional spiking model for sequential feature learning.
Knowl. Based Syst.
Xiurui Xie, Guisong Liu, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu
2020 J jnl
Improving Readability for Automatic Speech Recognition Transcription.
CoRR
Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng
2020 B conf
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi.
COLING
Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang
2020 J jnl
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi.
CoRR
Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang
2020 J jnl
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks.
CoRR
Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li
2020 J jnl
Supervised learning in spiking neural networks with synaptic delay-weight plasticity.
Neurocomputing
Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li
2020 J jnl
WALLACE: Weakly Supervised Learning of Deep Convolutional Neural Networks With Multiscale Evidence.
IEEE Access
Yongsheng Liu, Wenyu Chen, Hong Qu, Tianlei Wang, Jiangzhou Ji, Kebin Miao
2019 J jnl
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst.
Malu Zhang, Hong Qu, Ammar Belatreche, Yi Chen, Zhang Yi
2019 J jnl
A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System.
IEEE Trans. Cybern.
Mingsheng Fu, Hong Qu, Zhang Yi, Li Lu, Yongsheng Liu
2019 J jnl
An Efficient Deep Learning Model to Infer User Demographic Information From Ratings.
IEEE Access
Yongsheng Liu, Hong Qu, Wenyu Chen, S. M. Hasan Mahmud
2019 J jnl
An Intelligent Knowledge Extraction Framework for Recognizing Identification Information From Real-World ID Card Images.
IEEE Access
Lin Zuo, Wenyu Chen, Hong Qu, Li Huang, Zheng Wang, Yong Chen
2019 — conf
Multi-Head Bidirectional Attention for MRC.
ICAIP
Dagmawi Moges, Hong Qu, Mingsheng Fu
2019 J jnl
Multi-source sequential knowledge regression by using transfer RNN units.
Neural Networks
Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu
2019 Misc conf
Mutual Constraint Learning for Weakly Supervised Object Detection.
ISKE
Yongsheng Liu, Wenyu Chen, S. M. Hasan Mahmud, Hong Qu, Kebin Miao, Feng Wei, Ziliang Zhang
2019 J jnl
The maximum points-based supervised learning rule for spiking neural networks.
Soft Comput.
Xiurui Xie, Guisong Liu, Qing Cai, Hong Qu, Malu Zhang
2018 — conf
A New Deep Neural Network Based Learning to Rank Method for Information Retrieval.
ICIA
Mingsheng Fu, Hong Qu, Fan Li, Yanjun Liu
2018 J jnl
Attention based collaborative filtering.
Neurocomputing
Mingsheng Fu, Hong Qu, Dagmawi Moges, Li Lu
2018 J jnl
Bag of meta-words: A novel method to represent document for the sentiment classification.
Expert Syst. Appl.
Mingsheng Fu, Hong Qu, Li Huang, Li Lu
2018 B conf
Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition.
IJCNN
Rui Xi, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu
2018 J jnl
Deep Dilation on Multimodality Time Series for Human Activity Recognition.
IEEE Access
Rui Xi, Ming Li, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu, Charles R. Haruna
2018 J jnl
EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons.
IEEE Trans. Cogn. Dev. Syst.
Malu Zhang, Hong Qu, Ammar Belatreche, Xiurui Xie
2018 J jnl
Feedforward Computational Model for Pattern Recognition with Spiking neurons.
Int. J. Robotics Autom.
Malu Zhang, Hong Qu, Jianping Li, Ammar Belatreche, Xiurui Xie, Zhi Zeng
2018 J jnl
Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints.
IEEE Access
Liwei Huang, Hong Qu, Lin Zuo
2018 — conf
Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments.
PRICAI (1)
Liwei Huang, Hong Qu, Mingsheng Fu, Wu Deng
2018 J jnl
Subnormal Distribution Derived From Evolving Networks With Variable Elements.
IEEE Trans. Cybern.
Minyu Feng, Hong Qu, Zhang Yi, Jürgen Kurths
2017 — conf
A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network.
ICONIP (3)
Lin Zuo, Linyao Ma, Yanqing Xiao, Malu Zhang, Hong Qu
2017 — conf
A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks.
ICONIP (3)
Lin Zuo, Shan Chen, Hong Qu, Malu Zhang
2017 — conf
AHNN: An Attention-Based Hybrid Neural Network for Sentence Modeling.
NLPCC
Xiaomin Zhang, Li Huang, Hong Qu
2017 — conf
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.
SSCI
Yongqing Zhang, Yi Chen, Malu Zhang, Xi Wu, Jiliu Zhou, Hong Qu
2017 J jnl
Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method.
IEEE Trans. Neural Networks Learn. Syst.
Xiurui Xie, Hong Qu, Zhang Yi, Jürgen Kurths
2017 J jnl
Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule.
Neurocomputing
Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang
2017 J jnl
Supervised learning in spiking neural networks with noise-threshold.
Neurocomputing
Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths
2016 J jnl
Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution.
IEEE Trans. Cybern.
Minyu Feng, Hong Qu, Zhang Yi, Xiurui Xie, Jürgen Kurths
2016 J jnl
Shortest path computation using pulse-coupled neural networks with restricted autowave.
Knowl. Based Syst.
Yongsheng Sang, Jiancheng Lv, Hong Qu, Zhang Yi
2015 J jnl
Computing k shortest paths from a source node to each other node.
Soft Comput.
Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji, Alexander Takacs
2015 J jnl
Computing k shortest paths using modified pulse-coupled neural network.
Neurocomputing
Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji
2015 J jnl
Improved perception-based spiking neuron learning rule for real-time user authentication.
Neurocomputing
Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu
2015 J jnl
One-dimensional pairwise CNN for the global alignment of two DNA sequences.
Neurocomputing
Luping Ji, Xiaorong Pu, Hong Qu, Guisong Liu
2014 J jnl
Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks.
IEEE Trans. Circuits Syst. I Regul. Pap.
Minyu Feng, Hong Qu, Zhang Yi
2014 — conf
Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks.
ICONIP (1)
Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu
2013 C conf
An Improved Search Algorithm Based on Path Compression for Complex Network.
DASC
Ye Yuan, Wenyu Chen, Minyu Feng, Hong Qu
2013 J jnl
Efficient Shortest-Path-Tree Computation in Network Routing Based on Pulse-Coupled Neural Networks.
IEEE Trans. Cybern.
Hong Qu, Zhang Yi, Simon X. Yang
2012 J jnl
A novel neural network method for shortest path tree computation.
Appl. Soft Comput.
Hong Qu, Simon X. Yang, Zhang Yi, Xiaobin Wang
2009 J jnl
A Winner-Take-All Neural Networks of
Neural Process. Lett.
Hong Qu, Zhang Yi, Xiaobin Wang
2009 J jnl
A modified pulse coupled neural network for shortest-path problem.
Neurocomputing
Xiaobin Wang, Hong Qu, Zhang Yi
2009 J jnl
Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model.
IEEE Trans. Neural Networks
Hong Qu, Simon X. Yang, Allan R. Willms, Zhang Yi
2008 J jnl
Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions.
Neurocomputing
Hong Qu, Zhang Yi, Xiaobin Wang
2006 — conf
Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons.
ISNN (1)
Hong Qu, Zhang Yi
2006 J jnl
Improving local minima of columnar competitive model for TSPs.
IEEE Trans. Circuits Syst. I Regul. Pap.
Hong Qu, Zhang Yi, Huajin Tang
2005 — conf
Theoretical Analysis and Parameter Setting of Hopfield Neural Networks.
ISNN (1)
Hong Qu, Zhang Yi, XiaoLin Xiang