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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j74]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)- [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [c50]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 - [c49]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 - [i14]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
- [j68]Tianqi Liu, Yining Liu, Xiangqian Su, Lin Peng, Jiangbo Chen, Pu Xing, Xiaowen Qiao, Zaozao Wang, Jiabo Di, Min Zhao, Beihai Jiang, Hong Qu:
Genome-wide transcriptomics and copy number profiling identify patient-specific CNV-lncRNA-mRNA regulatory triplets in colorectal cancer. Comput. Biol. Medicine 153: 106545 (2023) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [c48]Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu:
Substructure Aware Graph Neural Networks. AAAI 2023: 11129-11137 - [c47]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 - [c46]Yun Zhang, Qian Sun, Keyu Du, Hong Qu:
A retina-inspired neural model for single image haze removal. ACAI 2023: 170-175 - [c45]Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. ACL (Findings) 2023: 12908-12922 - [c44]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 - [c43]Dingyi Zeng, Wenyu Chen, Wanlong Liu, Li Zhou, Hong Qu:
Rethinking Random Walk in Graph Representation Learning. ICASSP 2023: 1-5 - [c42]Zhangzi Zhu, Shuai Wang, Hong Qu:
Improving Image Captioning with Control Signal of Sentence Quality. ICASSP 2023: 1-5 - [c41]Fan Li, Wenyu Chen, Zhiyou Yang, Mingsheng Fu, Yun Zhan, Hong Qu:
An Empirical Perspective on Learning-to-rank. ICCAI 2023: 419-424 - [c40]Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen:
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. ICCV 2023: 10518-10528 - [c39]Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu:
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. IJCAI 2023: 3085-3093 - [c38]Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu:
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. IJCNN 2023: 1-8 - [i13]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) - [i12]Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. CoRR abs/2310.05991 (2023) - [i11]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
- [j59]Dagmawi Moges, Jiaxu Zhao, Hong Qu:
Sequential multi-headed attention for entity-based relational neural networks. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j58]Suzhen Yuan, Shengwei Gao, Chao Wen, Yuchan Wang, Hong Qu, Yan Wang:
A novel fault-tolerant quantum divider and its simulation. Quantum Inf. Process. 21(5): 182 (2022) - [j57]Suzhen Yuan, Xianrong Qing, Bo Hang, Hong Qu:
Quantum color image median filtering in the spatial domain: theory and experiment. Quantum Inf. Process. 21(9): 321 (2022) - [j56]Suzhen Yuan, Wenhao Zhao, Shengwei Gao, Shuyin Xia, Bo Hang, Hong Qu:
An adaptive threshold-based quantum image segmentation algorithm and its simulation. Quantum Inf. Process. 21(10): 359 (2022) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [c37]Dingyi Zeng, Li Zhou, Wanlong Liu, Hong Qu, Wenyu Chen:
A Simple Graph Neural Network via Layer Sniffer. ICASSP 2022: 5687-5691 - [c36]Yi Chen, Silin Zhang, Shiyu Ren, Hong Qu:
Gradual Surrogate Gradient Learning in Deep Spiking Neural Networks. ICASSP 2022: 8927-8931 - [c35]Hong Qu, Xiaolong Wei, Chuhan Sun, Xinze Li:
Research on UAV Air Combat Maneuver Decision-making Based on Improved Q-learning Algorithm. ICISCAE 2022: 55-58 - [c34]Wang Wentao, Li Ye, Hong Qu, Yao Peiyuan:
UAV Air Combat Maneuver Decision Algorithm Based on Dynamic Grid Planning Environment. ICISCAE 2022: 59-63 - [c33]Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu:
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. ICONIP (4) 2022: 153-164 - [c32]Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu:
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion. IJCAI 2022: 2501-2508 - [c31]Wanlong Liu, Li Zhou, Dingyi Zeng, Hong Qu:
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder. IJCNN 2022: 1-8 - [c30]Shuqing Shi, Xiaobin Wang, Dong Hao, Zhiyou Yang, Hong Qu:
Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization. IJCNN 2022: 1-11 - [c29]Siying Wang, Hongfei Du, Wenyu Chen, Hong Qu:
Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning. PRICAI (1) 2022: 113-124 - [i10]Shuqing Shi, Xiaobin Wang, Zhiyou Yang, Fan Zhang, Hong Qu:
Double Thompson Sampling in Finite stochastic Games. CoRR abs/2202.10008 (2022) - [i9]Zhangzi Zhu, Hong Qu:
Improving Image Captioning with Control Signal of Sentence Quality. CoRR abs/2206.03196 (2022) - 2021
- [j51]Min Zhao, Yining Liu, Hong Qu:
circExp database: an online transcriptome platform for human circRNA expressions in cancers. Database J. Biol. Databases Curation 2021 (2021) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]Regina Esi Turkson, Hong Qu, Cobbinah Bernard Mawuli, Moses J. Eghan:
Classification of Alzheimer's Disease Using Deep Convolutional Spiking Neural Network. Neural Process. Lett. 53(4): 2649-2663 (2021) - [j42]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) - [c28]Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang:
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. AAAI 2021: 7073-7080 - [c27]Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu:
Twin-GAN for Neural Machine Translation. ICAART (2) 2021: 87-96 - [c26]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 - [c25]Li Huang, Wenyu Chen, Hong Qu:
Accelerating Transformer for Neural Machine Translation. ICMLC 2021: 191-197 - [c24]Dagmawi Alemu Moges, Rubungo Andre Niyongabo, Hong Qu:
Multi-Perspective Reasoning Transformers. ICMLC 2021: 503-508 - [c23]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 - [c22]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 - [i8]Zhangzi Zhu, Tianlei Wang, Hong Qu:
Macroscopic Control of Text Generation for Image Captioning. CoRR abs/2101.08000 (2021) - [i7]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) - [i6]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) - [i5]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) - [i4]Zhangzi Zhu, Tianlei Wang, Hong Qu:
Self-Annotated Training for Controllable Image Captioning. CoRR abs/2110.08446 (2021) - 2020
- [j41]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) - [j40]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) - [j39]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) - [j38]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) - [c21]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 - [c20]Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu:
A Weighted GCN with Logical Adjacency Matrix for Relation Extraction. ECAI 2020: 2314-2321 - [c19]Regina Esi Turkson, Hong Qu, Yuchen Wang, Moses J. Eghan:
Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding. ICONIP (3) 2020: 353-365 - [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
- [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [c18]Jiuyuan Huo, Jian Weng, Hong Qu:
A parallel clustering algorithm for logs data based on Hadoop platform. HP3C 2019: 90-94 - [c17]Dagmawi Moges, Hong Qu, Mingsheng Fu:
Multi-Head Bidirectional Attention for MRC. ICAIP 2019: 170-174 - [c16]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
- [j31]Liwei Huang, Hong Qu, Lin Zuo:
Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints. IEEE Access 6: 17841-17850 (2018) - [j30]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) - [j29]Yining Liu, Mingyu Luo, Zhaochen Jin, Min Zhao, Hong Qu:
dbLGL: an online leukemia gene and literature database for the retrospective comparison of adult and childhood leukemia genetics with literature evidence. Database J. Biol. Databases Curation 2018: bay062 (2018) - [j28]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) - [j27]Mingsheng Fu, Hong Qu, Dagmawi Moges, Li Lu:
Attention based collaborative filtering. Neurocomputing 311: 88-98 (2018) - [j26]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) - [j25]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) - [j24]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) - [c15]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 - [c14]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 - [c13]Liwei Huang, Hong Qu, Mingsheng Fu, Wu Deng:
Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments. PRICAI (1) 2018: 441-453 - 2017
- [j23]Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths:
Supervised learning in spiking neural networks with noise-threshold. Neurocomputing 219: 333-349 (2017) - [j22]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) - [j21]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) - [c12]Lin Zuo, Shan Chen, Hong Qu, Malu Zhang:
A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks. ICONIP (3) 2017: 797-804 - [c11]Lin Zuo, Linyao Ma, Yanqing Xiao, Malu Zhang, Hong Qu:
A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network. ICONIP (3) 2017: 816-824 - [c10]