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2020 – today
- 2024
[j76]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)- [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [c54]Lang Xue, Hanwen Liu, Jing Wang, Hong Qu:
Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks. ECAI 2024: 2709-2716 - [c53]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 - [c52]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 - [c51]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 - [c50]Kexin Shi, Hanwen Liu, Yi Chen, Hong Qu:
HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer. IJCNN 2024: 1-8 - [c49]Tianlei Wang, Keyu Chen, Ma Luo, Hong Qu:
Attention-Based Deep Neural Network for Point Cloud Learning. IJCNN 2024: 1-8 - [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]Xiaomin Zhang, Li Huang, Hong Qu:
AHNN: An Attention-Based Hybrid Neural Network for Sentence Modeling. NLPCC 2017: 731-740 - [c9]Yongqing Zhang, Yi Chen, Malu Zhang, Xi Wu, Jiliu Zhou, Hong Qu:
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks. SSCI 2017: 1-6 - 2016
- [j20]Liwei Huang, Hong Qu, Peng Ji, Xintong Liu, Zhen Fan:
A novel coordinated path planning method using k-degree smoothing for multi-UAVs. Appl. Soft Comput. 48: 182-192 (2016) - [j19]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) - [j18]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
- [j17]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) - [j16]Guisong Liu, Zhao Qiu, Hong Qu, Luping Ji:
Computing k shortest paths using modified pulse-coupled neural network. Neurocomputing 149: 1162-1176 (2015) - [j15]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) - [j14]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) - [c8]Jiuyuan Huo, Hong Qu, Ling Wu:
Design and Implementation of Private Cloud Storage Platform Based on OpenStack. SmartCity 2015: 1098-1101 - 2014
- [j13]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) - [c7]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
- [j12]Lei Kong, Lu Cheng, Liya Fan, Min Zhao, Hong Qu:
IQdb: an intelligence quotient score-associated gene resource for human intelligence. Database J. Biol. Databases Curation 2013 (2013) - [j11]Hong Qu, Ke Xing, Alexander Takacs:
An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots. Neurocomputing 120: 509-517 (2013) - [j10]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) - [c6]Ye Yuan, Wenyu Chen, Minyu Feng, Hong Qu:
An Improved Search Algorithm Based on Path Compression for Complex Network. DASC 2013: 308-313 - 2012
- [j9]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) - [j8]Jiuyuan Huo, Hong Qu, Liqun Liu:
Design and Implementation of Automatic Defensive Websites Tamper-Resistant System. J. Softw. 7(10): 2379-2386 (2012) - [c5]Minyu Feng, Hong Qu, Yi Xu, Xing Ke:
The High Degree Seeking Algorithms with k Steps for Complex Networks. ISNN (1) 2012: 615-623
2000 – 2009
- 2009
- [j7]XiaoBin Wang, Hong Qu, Zhang Yi:
A modified pulse coupled neural network for shortest-path problem. Neurocomputing 72(13-15): 3028-3033 (2009) - [j6]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) - [j5]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
- [j4]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) - 2007
- [j3]Bingjun Jiang, Hong Qu, Yuanlei Hu, Ting Ni, Zhongping Lin:
Computational analysis of the relationship between allergenicity and digestibility of allergenic proteins in simulated gastric fluid. BMC Bioinform. 8 (2007) - [j2]Silje Alvestad, Pål Erik Goa, Hong Qu, Øystein Risa, Christian Brekken, Ursula Sonnewald, Olav Haraldseth, Janniche Hammer, Ole Petter Ottersen, Asta K. Håberg:
In vivo mapping of temporospatial changes in manganese enhancement in rat brain during epileptogenesis. NeuroImage 38(1): 57-66 (2007) - 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) - [c4]Hong Qu, Andrea La Pietra, Sarah S. Poon:
Automated Blog Classification: Challenges and Pitfalls. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 184-186 - [c3]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
- [c2]Hong Qu, Zhang Yi, XiaoLin Xiang:
Theoretical Analysis and Parameter Setting of Hopfield Neural Networks. ISNN (1) 2005: 739-744 - [c1]Shane Ahern, Simon King, Hong Qu, Marc Davis:
PhotoRouter: destination-centric mobile media messaging. ACM Multimedia 2005: 209-210
Coauthor Index
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