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Ke Qin
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2020 – today
- 2024
- [j41]Hailin Wang, Dan Zhang, Guisong Liu, Li Huang, Ke Qin:
Enhancing relation extraction using multi-task learning with SDP evidence. Inf. Sci. 670: 120610 (2024) - [j40]Hao Sun, Yi Ding, Jianzhu Bao, Ke Qin, Chengxuan Tong, Jing Jin, Cuntai Guan:
Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention. Neural Networks 178: 106470 (2024) - [j39]Zhen Cui, Hanxiao Wang, Kunqi Yang, Yang Shen, Ke Qin, Pei Yuan, Enling Li:
Highly Sensitive and Selective Defect WS2 Chemical Sensor for Detecting HCHO Toxic Gases. Sensors 24(3): 762 (2024) - [j38]Lihua Fu, Ke Qin, Ruijie Li, Yaokuang Li:
Distributed leadership, open innovation, and organisational ambidexterity: the moderating roles of connectedness and environmental dynamism. Technol. Anal. Strateg. Manag. 36(10): 2352-2368 (2024) - [j37]Qiuyi Qi, Tuo Shi, Ke Qin, Guangchun Luo:
Completion Time Optimization in UAV-Relaying-Assisted MEC Networks With Moving Users. IEEE Trans. Consumer Electron. 70(1): 1246-1258 (2024) - [j36]Ke Qin, Ren Xu, Xinjie He, Yutao Zhang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
A Time-Local Transformation Steady-State Visual Evoked Potentials Recognition Framework Combined With Filter Banks. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c23]Li-Teng Miao, Yi-Zhuo Ma, Ke Qin, Ruiting Dai, Ahmad Raza:
ACT-R Theory Can Promote Personality Analysis of Social Network Subjects. ICIC (LNAI 3) 2024: 15-26 - [c22]Ling Dai, Ke Qin:
ToFC: Tree-of-Fact with Continued Best-First Search for Commonsense Reasoning. IJCNN 2024: 1-8 - [c21]Cencen Liu, Dongyang Zhang, Ke Qin:
Knowledge Distillation for Single Image Super-Resolution via Contrastive Learning. ICMR 2024: 1079-1083 - [c20]Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin:
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. ACM Multimedia 2024: 4416-4425 - [c19]Yizhuo Ma, Ke Qin, Shuang Liang:
Beta-LR: Interpretable Logical Reasoning based on Beta Distribution. NAACL-HLT (Findings) 2024: 1945-1955 - [i9]Tao He, Tongtong Wu, Dongyang Zhang, Guiduo Duan, Ke Qin, Yuan-Fang Li:
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning. CoRR abs/2401.14626 (2024) - [i8]Gang Hu, Ke Qin, Chenhan Yuan, Min Peng, Alejandro Lopez-Lira, Benyou Wang, Sophia Ananiadou, Wanlong Yu, Jimin Huang, Qianqian Xie:
No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks. CoRR abs/2403.06249 (2024) - [i7]Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang:
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality. CoRR abs/2409.04693 (2024) - 2023
- [j35]Hailin Wang, Ke Qin, Guiduo Duan, Guangchun Luo:
Denoising Graph Inference Network for Document-Level Relation Extraction. Big Data Min. Anal. 6(2): 248-262 (2023) - [j34]Guoming Lu, Hao Zhang, Ke Qin, Kai Du:
A causal-based symbolic reasoning framework for uncertain knowledge graphs. Comput. Electr. Eng. 105: 108541 (2023) - [j33]Xiurui Xie, Maojun Tian, Guangchun Luo, Guisong Liu, Yizhe Wu, Ke Qin:
Active learning in multi-label image classification with graph convolutional network embedding. Future Gener. Comput. Syst. 148: 56-65 (2023) - [j32]Yi Luo, Yan Huang, Guangchun Luo, Ke Qin, Aiguo Chen:
Edge convolutional networks: Decomposing graph convolutional networks for stochastic training with independent edges. Neurocomputing 549: 126430 (2023) - [c18]Kai Du, Guoming Lu, Ke Qin:
An Extractive Text Summarization Based on Reinforcement Learning. ICSIM 2023: 19-25 - [c17]Xiwei Xu, Ke Qin:
Interpretable Fake News Detection on Social Media. ICSIM 2023: 286-291 - [i6]Yi Luo, Guangchun Luo, Ke Qin, Aiguo Chen:
Graph Entropy Minimization for Semi-supervised Node Classification. CoRR abs/2305.19502 (2023) - 2022
- [j31]Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guoming Lu, Jin Yin:
Deep neural network-based relation extraction: an overview. Neural Comput. Appl. 34(6): 4781-4801 (2022) - [i5]Rufai Yusuf Zakari, Jim Wilson Owusu, Hailin Wang, Ke Qin, Zaharaddeen Karami Lawal, Yuezhou Dong:
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges. CoRR abs/2212.13296 (2022) - 2021
- [j30]Ke Qin, Raofen Wang:
SSVEP signal classification and recognition based on individual signal mixing template multivariate synchronization index algorithm. Biomed. Signal Process. Control. 64: 102304 (2021) - [j29]Guiduo Duan, Haobo Yang, Ke Qin, Tianxi Huang:
Improving Neural Machine Translation Model with Deep Encoding Information. Cogn. Comput. 13(4): 972-980 (2021) - [j28]Jean-Paul Ainam, Ke Qin, Jim Wilson Owusu, Guoming Lu:
Unsupervised domain adaptation for person re-identification with iterative soft clustering. Knowl. Based Syst. 212: 106644 (2021) - [j27]Shengjie Min, Zhan Gao, Jing Peng, Liang Wang, Ke Qin, Bo Fang:
STGSN - A Spatial-Temporal Graph Neural Network framework for time-evolving social networks. Knowl. Based Syst. 214: 106746 (2021) - [j26]Hailin Wang, Ke Qin, Guoming Lu, Jin Yin, Rufai Yusuf Zakari, Jim Wilson Owusu:
Document-level relation extraction using evidence reasoning on RST-GRAPH. Knowl. Based Syst. 228: 107274 (2021) - [j25]Zongyang Xiong, Ke Qin, Haobo Yang, Guangchun Luo:
Learning Chinese word representation better by cascade morphological n-gram. Neural Comput. Appl. 33(8): 3757-3768 (2021) - [c16]Hailin Wang, Guoming Lu, Jin Yin, Ke Qin:
Relation Extraction: A Brief Survey on Deep Neural Network Based Methods. ICSIM 2021: 220-228 - [i4]Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu:
Deep Neural Network Based Relation Extraction: An Overview. CoRR abs/2101.01907 (2021) - [i3]Haipeng Gao, Kun Yang, Yuxue Yang, Rufai Yusuf Zakari, Jim Wilson Owusu, Ke Qin:
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion. CoRR abs/2105.09002 (2021) - 2020
- [j24]Shengjie Min, Guangchun Luo, Zhan Gao, Jing Peng, Ke Qin:
Resonance - An Intelligence Analysis Framework for Social Connection Inference via Mining Co-Occurrence Patterns Over Multiplex Trajectories. IEEE Access 8: 24535-24548 (2020) - [j23]Hailin Wang, Ke Qin, Guoming Lu, Guangchun Luo, Guisong Liu:
Direction-sensitive relation extraction using Bi-SDP attention model. Knowl. Based Syst. 198: 105928 (2020) - [j22]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo, Brighter Agyemang:
Enforcing Affinity Feature Learning through Self-attention for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 16(1): 16:1-16:22 (2020)
2010 – 2019
- 2019
- [j21]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
Sparse Label Smoothing Regularization for Person Re-Identification. IEEE Access 7: 27899-27910 (2019) - [j20]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
View-Invariant and Similarity Learning for Robust Person Re-Identification. IEEE Access 7: 185486-185495 (2019) - [c15]Kaige Ding, Renxiang Bu, Ke Qin, Tieshan Li:
Ship Adaptive Track Keeping Control Based on Iterative Sliding Mode. ICITE 2019: 11-15 - [c14]Xinyu Li, Renxiang Bu, Ke Qin, Yong Liu:
Ship Course Prediction Based on Self-adapting PSO-BP Neural Network Model. ICITE 2019: 21-24 - [c13]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy. ICMLC 2019: 380-385 - [c12]Haobo Yang, Zongyang Xiong, Jiexin Zhang, Ke Qin, Guoming Lu:
Cascade Morphological n-Gram Can Improve Chinese Words Representation Learning. iThings/GreenCom/CPSCom/SmartData 2019: 842-847 - [c11]Haiyan Shao, Xinle Li, Ke Qin, Weiping Liu, Guoping Li, Tao Wu:
Structural Design and Simulation Analysis of 4-DOF Heavy-Duty Robot. RCAR 2019: 673-678 - 2018
- [j19]Zhiyuan Ma, Guangchun Luo, Ke Qin, Nan Wang, Weina Niu:
Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine. Sensors 18(3): 742 (2018) - [j18]Zhiyuan Ma, Guangchun Luo, Ke Qin, Nan Wang, Weina Niu:
Weighted Domain Transfer Extreme Learning Machine and Its Online Version for Gas Sensor Drift Compensation in E-Nose Systems. Wirel. Commun. Mob. Comput. 2018 (2018) - [i2]Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo:
Sparse Label Smoothing for Semi-supervised Person Re-Identification. CoRR abs/1809.04976 (2018) - [i1]Jean-Paul Ainam, Ke Qin, Guisong Liu:
Self Attention Grid for Person Re-Identification. CoRR abs/1809.08556 (2018) - 2017
- [j17]Longgeng Liu, Guangchun Luo, Ke Qin, Xiping Zhang:
An algorithm based on logistic regression with data fusion in wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2017: 10 (2017) - [j16]Ke Qin:
On Chaotic Neural Network Design: A New Framework. Neural Process. Lett. 45(1): 243-261 (2017) - [c10]Longgeng Liu, Guangchun Luo, Ke Qin, Xiping Zhang:
An on-demand global time synchronization based on data analysis for wireless sensor networks. IIKI 2017: 503-510 - 2016
- [c9]Guangchun Luo, Xiaoyu Luo, Thomas Fairley Gooch, Ling Tian, Ke Qin:
A Parallel DBSCAN Algorithm Based on Spark. BDCloud-SocialCom-SustainCom 2016: 548-553 - [c8]Xinjian Wang, Guangchun Luo, Ke Qin, Aiguo Chen:
A Hybrid PSO and SVM Algorithm for Content Based Image Retrieval. ICCSA (1) 2016: 583-591 - 2015
- [j15]Guangchun Luo, Haifeng Sun, Ke Qin, Junbao Zhang:
Greedy Zone Epidemic Routing in Urban VANETs. IEICE Trans. Commun. 98-B(1): 219-230 (2015) - 2014
- [j14]Yanchao Shi, Peiyong Zhu, Ke Qin:
Projective synchronization of different chaotic neural networks with mixed time delays based on an integral sliding mode controller. Neurocomputing 123: 443-449 (2014) - [j13]Ying Ma, Shunzhi Zhu, Ke Qin, Guangchun Luo:
Combining the requirement information for software defect estimation in design time. Inf. Process. Lett. 114(9): 469-474 (2014) - [j12]Ying Ma, Ke Qin, Shunzhi Zhu:
Discrimination Analysis for Predicting Defect-Prone Software Modules. J. Appl. Math. 2014: 675368:1-675368:14 (2014) - [j11]Jinsheng Ren, Ke Qin, Ying Ma, Guangchun Luo:
On Software Defect Prediction Using Machine Learning. J. Appl. Math. 2014: 785435:1-785435:8 (2014) - [c7]Ke Qin, B. John Oommen:
Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks. ISCIS 2014: 167-174 - 2013
- [j10]Guangchun Luo, Junbao Zhang, Haojun Huang, Ke Qin, Haifeng Sun:
Exploiting intercontact time for routing in delay tolerant networks. Trans. Emerg. Telecommun. Technol. 24(6): 589-599 (2013) - [j9]Guangchun Luo, Hao Chen, Caihui Qu, Yuhai Liu, Ke Qin:
An Efficient Algorithm for Node-Weighted Tree Partitioning with Subtrees' Weights in a Given Range. IEICE Trans. Inf. Syst. 96-D(2): 270-277 (2013) - [j8]Ke Qin, B. John Oommen:
Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties. Trans. Comput. Collect. Intell. 11: 22-51 (2013) - 2012
- [j7]Ke Qin, B. John Oommen:
The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network. Intell. Decis. Technol. 6(1): 27-41 (2012) - [j6]Guangchun Luo, Junbao Zhang, Ke Qin, Haifeng Sun:
Location-Aware Social Routing in Delay Tolerant Networks. IEICE Trans. Commun. 95-B(5): 1826-1829 (2012) - [j5]Guangchun Luo, Ying Ma, Ke Qin:
Active Learning for Software Defect Prediction. IEICE Trans. Inf. Syst. 95-D(6): 1680-1683 (2012) - [j4]Guangchun Luo, Ying Ma, Ke Qin:
Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction. IEICE Trans. Inf. Syst. 95-D(7): 2006-2008 (2012) - [j3]Guangchun Luo, Jinsheng Ren, Ke Qin:
Dynamical Associative Memory: The Properties of the New Weighted Chaotic Adachi Neural Network. IEICE Trans. Inf. Syst. 95-D(8): 2158-2162 (2012) - [c6]Hao Chen, Guangchun Luo, Ke Qin, Ningduo Peng, Wen Hao:
An Algorithm for Partitioning a Tree Into Sibling Subtree Clusters Weighted in a Given Range. PDCAT 2012: 499-502 - 2011
- [c5]Hao Chen, Guangchun Luo, Aiguo Chen, Ke Qin, Caihui Qu:
A Cyclic-Translation-Based Grid-Quadtree Index for Continuous Range Queries over Moving Objects. WiMo/CoNeCo 2011: 95-109 - 2010
- [c4]Ke Qin, Mingtian Zhou, Yong Feng:
A Novel Multicast Key Exchange Algorithm Based on Extended Chebyshev Map. CISIS 2010: 643-648
2000 – 2009
- 2009
- [j2]Ke Qin, B. John Oommen:
Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology. IEEE Trans. Neural Networks 20(11): 1797-1809 (2009) - [j1]Wei Luo, Xiao Qin, Xian-Chun Tan, Ke Qin, Adam Manzanares:
Exploiting Redundancies to Enhance Schedulability in Fault-Tolerant and Real-Time Distributed Systems. IEEE Trans. Syst. Man Cybern. Part A 39(3): 626-639 (2009) - 2008
- [c3]Ke Qin, B. John Oommen:
Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network. SSPR/SPR 2008: 540-550 - 2007
- [c2]Ke Qin, Mingtian Zhou, Naiqi Liu, Yujie Hao, Jiandong Guo:
A Novel Group Key Management Based on Jacobian Elliptic Chebyshev Rational Map. NPC 2007: 287-295 - [c1]Lei Miao, Lei Zhou, Liu Zhu, Ke Qin, Wenlin Zhang, Zaili Dong, Wen Jung Li:
Design the Nano manipulation system based on AFM: A system view with force feedback research. ROBIO 2007: 82-86
Coauthor Index
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last updated on 2024-11-07 20:30 CET by the dblp team
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