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ORCIDHong Qu 0002
Person information
- affiliation: University of Electronic Science and Technology of China, Chengdu, Sichuan, China
Other persons with the same name
- Hong Qu — disambiguation page
- Hong Qu 0001
![[0000-0001-9003-3882]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9003-3882")
— Harvard Kennedy School, Cambridge, MA, USA - Hong Qu 0003 — Kennesaw State University, College of Business, Department of Accounting, GA, USA
- Hong Qu 0004 — Peking University, Beijing, China
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2020 – today
- 2026
[j73]Yun Zhang, Lang Xue, Xiaoling Luo, Ping Li, Hong Qu:
A bionic spiking recurrent neural network with sparse connections and Dale's principle for image and speech recognition. Digit. Signal Process. 171: 105808 (2026)- [j72]Yun Zhang, Ying Liu, Tingting Feng, Tao Zhang, Hong Qu, Yi Zhang:
Spiking neural network analysis of MT-MST pathways in biological motion processing. Neurocomputing 660: 131795 (2026) - 2025
- [j71]Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Hong Qu:
Improving lightweight semi-supervised text classification via teacher intervention. Appl. Soft Comput. 184: 113844 (2025) - [j70]Wasif Feroze, Shaohuan Cheng, Elias Lemuye Jimale, Abdul Naveed Jakhro, Hong Qu:
Enhancing text understanding of decoder-based model by leveraging parameter-efficient fine-tuning method. Neural Comput. Appl. 37(9): 6899-6913 (2025) - [j69]Ying Liu, Xiaoling Luo, Ya Zhang, Yun Zhang, Wei Zhang, Hong Qu:
Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning. Neural Networks 182: 106918 (2025) - [j68]Mingsheng Fu, Liwei Huang, Fan Li, Hong Qu, Chengzhong Xu:
A fully value distributional deep reinforcement learning framework for multi-agent cooperation. Neural Networks 184: 107035 (2025) - [j67]Zhiyou Yang, Mingsheng Fu, Hong Qu, Fan Li, Shuqing Shi, Wang Hu:
Incremental model-based reinforcement learning with model constraint. Neural Networks 185: 107245 (2025) - [j66]Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu:
A Neurodynamic-Diversity-Based Spiking Network Model for Text Classification. IEEE Trans. Cogn. Dev. Syst. 17(4): 823-834 (2025) - [j65]Fan Li, Hong Qu, Liyan Zhang, Mingsheng Fu, Wenyu Chen, Zhang Yi:
Q-ADER: An Effective Q-Learning for Recommendation With Diminishing Action Space. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8510-8524 (2025) - [j64]Ya Zhang, Xiaoling Luo, Qian Sun, Yuchen Wang, Hong Qu, Zhang Yi:
Retina-Inspired Lightweight Spiking Convolutional Neural Network for Single-Image Dehazing. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12580-12594 (2025) - 2024
- [j63]Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Li Zhou, Honglin Zhao, Weishan Kong, Hong Qu, Mingsheng Fu:
Dynamic training for handling textual label noise. Appl. Intell. 54(22): 11161-11176 (2024) - [j62]Chao Zhai, Yuhui Du, Hong Qu, Tianlei Wang, Fan Zhang, Mingsheng Fu, Wenyu Chen:
Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation. Knowl. Based Syst. 300: 112104 (2024) - [j61]Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu:
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks. Neural Networks 174: 106244 (2024) - [j60]Siying Wang, Xiaodie Li, Hong Qu, Wenyu Chen:
State Augmentation via Self-Supervision in Offline Multiagent Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 16(3): 1051-1062 (2024) - [j59]Tianlei Wang, Mingsheng Fu, Keyu Chen, Fan Li, Hong Qu, Ma Luo:
ChainFrame: A Chain Framework for Point Cloud Classification. IEEE Trans. Ind. Informatics 20(3): 4451-4462 (2024) - [j58]Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Zhang Yi:
Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7072-7086 (2024) - [j57]Fan Li, Mingsheng Fu, Wenyu Chen, Fan Zhang, Haixian Zhang, Hong Qu, Zhang Yi:
Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8783-8796 (2024) - [j56]Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu:
Biologically Plausible Sparse Temporal Word Representations. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16952-16959 (2024) - [c31]Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu:
A Multiscale Resonant Spiking Neural Network for Music Classification. ICANN (4) 2024: 3-16 - [c30]Li Zhou, Wenyu Chen, Yong Cao, Dingyi Zeng, Wanlong Liu, Hong Qu:
MLPs Compass: What is Learned When MLPs are Combined with PLMs? ICASSP 2024: 11346-11350 - [c29]Ying Liu, Wei Zhang, Xiaoling Luo, Yun Zhang, Hong Qu:
SpikeFusionNet: A Hybrid Approach to Robotic Fault Diagnosis Using Spiking Neural Dynamics. ICIC (LNAI 4) 2024: 101-112 - [i9]Li Zhou, Wenyu Chen, Yong Cao, Dingyi Zeng, Wanlong Liu, Hong Qu:
MLPs Compass: What is learned when MLPs are combined with PLMs? CoRR abs/2401.01667 (2024) - 2023
- [j55]Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Malu Zhang, Hong Qu:
DPGNN: Dual-perception graph neural network for representation learning. Knowl. Based Syst. 268: 110377 (2023) - [j54]Siying Wang, Wenyu Chen, Liwei Huang, Fan Zhang, Zhitong Zhao, Hong Qu:
Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning. Knowl. Based Syst. 275: 110709 (2023) - [j53]Ya Zhang, Kexin Shi, Xiaoling Luo, Yi Chen, Yucheng Wang, Hong Qu:
A biologically inspired auto-associative network with sparse temporal population coding. Neural Networks 166: 670-682 (2023) - [j52]Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Readability for Automatic Speech Recognition Transcription. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 142:1-142:23 (2023) - [j51]Zhiyou Yang, Hong Qu, Mingsheng Fu, Wang Hu, Yongze Zhao:
A Maximum Divergence Approach to Optimal Policy in Deep Reinforcement Learning. IEEE Trans. Cybern. 53(3): 1499-1510 (2023) - [j50]Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu:
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. IEEE Trans. Ind. Informatics 19(2): 2049-2061 (2023) - [j49]Xiaoling Luo, Hong Qu, Yuchen Wang, Zhang Yi, Jilun Zhang, Malu Zhang:
Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10141-10153 (2023) - [j48]Fan Li, Hong Qu, Mingsheng Fu, Liyan Zhang, Fan Zhang, Wenyu Chen, Ruixuan Sun, Haixian Zhang:
Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 882-896 (2023) - [c28]Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu:
Substructure Aware Graph Neural Networks. AAAI 2023: 11129-11137 - [c27]Tianlei Wang, Hong Qu, Keyu Chen, Ma Luo, Chao Zhai, Bopeng Fang:
I2PN: Improved Image Projection Network for OCTA image segmentation. ACAI 2023: 164-169 - [c26]Yun Zhang, Qian Sun, Keyu Du, Hong Qu:
A retina-inspired neural model for single image haze removal. ACAI 2023: 170-175 - [c25]Shaohuan Cheng, Wenyu Chen, Mingsheng Fu, Xuanting Xie, Hong Qu:
Adaptive Textual Label Noise Learning based on Pre-trained Models. EMNLP (Findings) 2023: 3174-3188 - [c24]Dingyi Zeng, Wenyu Chen, Wanlong Liu, Li Zhou, Hong Qu:
Rethinking Random Walk in Graph Representation Learning. ICASSP 2023: 1-5 - [c23]Fan Li, Wenyu Chen, Zhiyou Yang, Mingsheng Fu, Yun Zhang, Hong Qu:
An Empirical Perspective on Learning-to-rank. ICCAI 2023: 419-424 - [i8]Wanlong Liu, Wenyu Chen, Dingyi Zeng, Li Zhou, Hong Qu:
CARLG: Leveraging Contextual Clues and Role Correlations for Improving Document-level Event Argument Extraction. CoRR abs/2310.05116 (2023) - [i7]Li Zhou, Wenyu Chen, Dingyi Zeng, Hong Qu, Daniel Hershcovich:
Revisiting Graph Meaning Representations through Decoupling Contextual Representation Learning and Structural Information Propagation. CoRR abs/2310.09772 (2023) - 2022
- [j47]Dagmawi Moges, Jiaxu Zhao, Hong Qu:
Sequential multi-headed attention for entity-based relational neural networks. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j46]Li Huang, Wenyu Chen, Yuguo Liu, Shuai Hou, Hong Qu:
Summarization With Self-Aware Context Selecting Mechanism. IEEE Trans. Cybern. 52(7): 5828-5841 (2022) - [j45]Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu:
Deep Reinforcement Learning Framework for Category-Based Item Recommendation. IEEE Trans. Cybern. 52(11): 12028-12041 (2022) - [j44]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:
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1947-1958 (2022) - [j43]Fan Zhang, Wenyu Chen, Mingsheng Fu, Fan Li, Hong Qu, Zhang Yi:
An Attention-Based Interactive Learning-to-Rank Model for Document Retrieval. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5770-5782 (2022) - [c22]Dingyi Zeng, Li Zhou, Wanlong Liu, Hong Qu, Wenyu Chen:
A Simple Graph Neural Network via Layer Sniffer. ICASSP 2022: 5687-5691 - [c21]Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu:
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. ICONIP (4) 2022: 153-164 - [c20]Wanlong Liu, Li Zhou, Dingyi Zeng, Hong Qu:
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder. IJCNN 2022: 1-8 - [c19]Siying Wang, Hongfei Du, Wenyu Chen, Hong Qu:
Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning. PRICAI (1) 2022: 113-124 - 2021
- [j42]Liwei Huang, Mingsheng Fu, Hong Qu, Siying Wang, Shangqian Hu:
A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems. Expert Syst. Appl. 176: 114896 (2021) - [j41]Wenshuang Chen, Jiali Yu, Zhang Yi, Hong Qu:
The effect of coefficients on the continuous attractors in coupled Highway Neural Networks. Neurocomputing 419: 1-8 (2021) - [j40]Liwei Huang, Mingsheng Fu, Fan Li, Hong Qu, Yangjun Liu, Wenyu Chen:
A deep reinforcement learning based long-term recommender system. Knowl. Based Syst. 213: 106706 (2021) - [j39]Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao:
Spatial division networks for weakly supervised detection. Neural Comput. Appl. 33(10): 4965-4978 (2021) - [j38]Li Huang, Wenyu Chen, Yuguo Liu, He Zhang, Hong Qu:
Improving neural machine translation using gated state network and focal adaptive attention networtk. Neural Comput. Appl. 33(23): 15955-15967 (2021) - [j37]Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, Yuchen Wang, Malu Zhang, Zefang Li:
A new recursive least squares-based learning algorithm for spiking neurons. Neural Networks 138: 110-125 (2021) - [j36]Qiang Li, Jinling Liang, Hong Qu:
H∞ estimation for stochastic semi-Markovian switching CVNNs with missing measurements and mode-dependent delays. Neural Networks 141: 281-293 (2021) - [j35]Yongsheng Liu, Wenyu Chen, Hong Qu, S. M. Hasan Mahmud, Kebin Miao:
Weakly supervised image classification and pointwise localization with graph convolutional networks. Pattern Recognit. 109: 107596 (2021) - [c18]Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu:
Twin-GAN for Neural Machine Translation. ICAART (2) 2021: 87-96 - [c17]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng:
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model. ICASSP 2021: 7578-7582 - [c16]Li Huang, Wenyu Chen, Hong Qu:
Accelerating Transformer for Neural Machine Translation. ICMLC 2021: 191-197 - [c15]Dagmawi Alemu Moges, Rubungo Andre Niyongabo, Hong Qu:
Multi-Perspective Reasoning Transformers. ICMLC 2021: 503-508 - [c14]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. IJCNN 2021: 1-8 - [c13]Yuchen Wang, Xiaobin Wang, Hong Qu, Ya Zhang, Yi Chen, Xiaoling Luo:
Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network. IJCNN 2021: 1-8 - [i6]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders. CoRR abs/2102.06578 (2021) - [i5]Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng:
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model. CoRR abs/2102.11114 (2021) - [i4]Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Hong Qu:
A Dual-Perception Graph Neural Network with Multi-hop Graph Generator. CoRR abs/2110.07869 (2021) - 2020
- [j34]Yongsheng Liu, Wenyu Chen, Hong Qu, Tianlei Wang, Jiangzhou Ji, Kebin Miao:
WALLACE: Weakly Supervised Learning of Deep Convolutional Neural Networks With Multiscale Evidence. IEEE Access 8: 20449-20458 (2020) - [j33]Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li:
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409: 103-118 (2020) - [j32]Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li:
An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. IEEE J. Sel. Top. Signal Process. 14(3): 592-602 (2020) - [j31]Xiurui Xie, Guisong Liu, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu:
An end-to-end functional spiking model for sequential feature learning. Knowl. Based Syst. 195: 105643 (2020) - [c12]Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang:
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. COLING 2020: 5507-5521 - [c11]Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu:
A Weighted GCN with Logical Adjacency Matrix for Relation Extraction. ECAI 2020: 2314-2321 - [i3]Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li:
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. CoRR abs/2003.11837 (2020) - [i2]Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng:
Improving Readability for Automatic Speech Recognition Transcription. CoRR abs/2004.04438 (2020) - [i1]Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang:
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. CoRR abs/2010.12174 (2020)
2010 – 2019
- 2019
- [j30]Yongsheng Liu, Hong Qu, Wenyu Chen, S. M. Hasan Mahmud:
An Efficient Deep Learning Model to Infer User Demographic Information From Ratings. IEEE Access 7: 53125-53135 (2019) - [j29]Lin Zuo, Wenyu Chen, Hong Qu, Li Huang, Zheng Wang, Yong Chen:
An Intelligent Knowledge Extraction Framework for Recognizing Identification Information From Real-World ID Card Images. IEEE Access 7: 165448-165457 (2019) - [j28]Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu:
Multi-source sequential knowledge regression by using transfer RNN units. Neural Networks 119: 151-161 (2019) - [j27]Xiurui Xie, Guisong Liu, Qing Cai, Hong Qu, Malu Zhang:
The maximum points-based supervised learning rule for spiking neural networks. Soft Comput. 23(20): 10187-10198 (2019) - [j26]Mingsheng Fu, Hong Qu, Zhang Yi, Li Lu, Yongsheng Liu:
A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System. IEEE Trans. Cybern. 49(3): 1084-1096 (2019) - [j25]Malu Zhang, Hong Qu, Ammar Belatreche, Yi Chen, Zhang Yi:
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 30(1): 123-137 (2019) - [c10]Dagmawi Moges, Hong Qu, Mingsheng Fu:
Multi-Head Bidirectional Attention for MRC. ICAIP 2019: 170-174 - [c9]Yongsheng Liu, Wenyu Chen, S. M. Hasan Mahmud, Hong Qu, Kebin Miao, Feng Wei, Ziliang Zhang:
Mutual Constraint Learning for Weakly Supervised Object Detection. ISKE 2019: 534-541 - 2018
- [j24]Liwei Huang, Hong Qu, Lin Zuo:
Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints. IEEE Access 6: 17841-17850 (2018) - [j23]Rui Xi, Ming Li, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu, Charles R. Haruna:
Deep Dilation on Multimodality Time Series for Human Activity Recognition. IEEE Access 6: 53381-53396 (2018) - [j22]Mingsheng Fu, Hong Qu, Li Huang, Li Lu:
Bag of meta-words: A novel method to represent document for the sentiment classification. Expert Syst. Appl. 113: 33-43 (2018) - [j21]Mingsheng Fu, Hong Qu, Dagmawi Moges, Li Lu:
Attention based collaborative filtering. Neurocomputing 311: 88-98 (2018) - [j20]Malu Zhang, Hong Qu, Jianping Li, Ammar Belatreche, Xiurui Xie, Zhi Zeng:
Feedforward Computational Model for Pattern Recognition with Spiking neurons. Int. J. Robotics Autom. 33(1) (2018) - [j19]Malu Zhang, Hong Qu, Ammar Belatreche, Xiurui Xie:
EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons. IEEE Trans. Cogn. Dev. Syst. 10(2): 151-162 (2018) - [j18]Minyu Feng, Hong Qu, Zhang Yi, Jürgen Kurths:
Subnormal Distribution Derived From Evolving Networks With Variable Elements. IEEE Trans. Cybern. 48(9): 2556-2568 (2018) - [c8]Mingsheng Fu, Hong Qu, Fan Li, Yanjun Liu:
A New Deep Neural Network Based Learning to Rank Method for Information Retrieval. ICIA 2018: 1311-1316 - [c7]Rui Xi, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu:
Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition. IJCNN 2018: 1-8 - [c6]Liwei Huang, Hong Qu, Mingsheng Fu, Wu Deng:
Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments. PRICAI (1) 2018: 441-453 - 2017
- [j17]Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths:
Supervised learning in spiking neural networks with noise-threshold. Neurocomputing 219: 333-349 (2017) - [j16]Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang:
Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. Neurocomputing 241: 152-163 (2017) - [j15]Xiurui Xie, Hong Qu, Zhang Yi, Jürgen Kurths:
Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1411-1424 (2017) - [c5]Xiaomin Zhang, Li Huang, Hong Qu:
AHNN: An Attention-Based Hybrid Neural Network for Sentence Modeling. NLPCC 2017: 731-740 - 2016
- [j14]Yongsheng Sang, Jiancheng Lv, Hong Qu, Zhang Yi:
Shortest path computation using pulse-coupled neural networks with restricted autowave. Knowl. Based Syst. 114: 1-11 (2016) - [j13]Minyu Feng, Hong Qu, Zhang Yi, Xiurui Xie, Jürgen Kurths:
Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution. IEEE Trans. Cybern. 46(5): 1144-1155 (2016) - 2015
- [j12]Luping Ji, Xiaorong Pu, Hong Qu, Guisong Liu:
One-dimensional pairwise CNN for the global alignment of two DNA sequences. Neurocomputing 149: 505-514 (2015) - [j11]Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji:
Computing k shortest paths using modified pulse-coupled neural network. Neurocomputing 149: 1162-1176 (2015) - [j10]Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu:
Improved perception-based spiking neuron learning rule for real-time user authentication. Neurocomputing 151: 310-318 (2015) - [j9]Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji, Alexander Takacs:
Computing k shortest paths from a source node to each other node. Soft Comput. 19(8): 2391-2402 (2015) - 2014
- [j8]Minyu Feng, Hong Qu, Zhang Yi:
Highest Degree Likelihood Search Algorithm Using a State Transition Matrix for Complex Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(10): 2941-2950 (2014) - [c4]Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu:
Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. ICONIP (1) 2014: 366-373 - 2013
- [j7]Hong Qu, Zhang Yi, Simon X. Yang:
Efficient Shortest-Path-Tree Computation in Network Routing Based on Pulse-Coupled Neural Networks. IEEE Trans. Cybern. 43(3): 995-1010 (2013) - [c3]Ye Yuan, Wenyu Chen, Minyu Feng, Hong Qu:
An Improved Search Algorithm Based on Path Compression for Complex Network. DASC 2013: 308-313 - 2012
- [j6]Hong Qu, Simon X. Yang, Zhang Yi, XiaoBin Wang:
A novel neural network method for shortest path tree computation. Appl. Soft Comput. 12(10): 3246-3259 (2012)
2000 – 2009
- 2009
- [j5]XiaoBin Wang, Hong Qu, Zhang Yi:
A modified pulse coupled neural network for shortest-path problem. Neurocomputing 72(13-15): 3028-3033 (2009) - [j4]Hong Qu, Zhang Yi, XiaoBin Wang:
A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory Connections. Neural Process. Lett. 29(3): 143-154 (2009) - [j3]Hong Qu, Simon X. Yang, Allan R. Willms, Zhang Yi:
Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model. IEEE Trans. Neural Networks 20(11): 1724-1739 (2009) - 2008
- [j2]Hong Qu, Zhang Yi, XiaoBin Wang:
Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions. Neurocomputing 72(1-3): 413-419 (2008) - 2006
- [j1]Hong Qu, Zhang Yi, Huajin Tang:
Improving local minima of columnar competitive model for TSPs. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(6): 1353-1362 (2006) - [c2]Hong Qu, Zhang Yi:
Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons. ISNN (1) 2006: 291-296 - 2005
- [c1]Hong Qu, Zhang Yi, XiaoLin Xiang:
Theoretical Analysis and Parameter Setting of Hopfield Neural Networks. ISNN (1) 2005: 739-744
Coauthor Index
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