Ke Qin

123 papers A* 5B 4C 2Misc 4Journal 83Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Transfer Learning SSVEP Decoding Algorithm Calibrated With Single-Trial Data.
IEEE Trans. Neural Networks Learn. Syst.
Jing Jin, Ke Qin, Brendan Z. Allison, Shurui Li, Yutao Zhang, Xingyu Wang, Andrzej Cichocki
2026 J jnl
A cognitive-affective chain-driven framework for emotion understanding.
Inf. Process. Manag.
Shuaipu Chen, Zhenghao Liu, Zhijian Zhang, Ke Qin, Yuxing Qian, Feicheng Ma
2026 J jnl
A deep learning-based early warning model for food safety risks: evidence from the aquatic products sector in China.
Evol. Syst.
Ke Qin, Wenjie Zhang, Xiaoting Dai, Wei Hong, Linhai Wu
2026 A* conf
Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents.
AAAI
Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang
2026 J jnl
Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation.
CoRR
Muquan Li, Hang Gou, Yingyi Ma, Rongzheng Wang, Ke Qin, Tao He
2026 J jnl
Graph entropy minimization for semi-supervised node classification.
Neurocomputing
Yi Luo, Xu Sun, Guangchun Luo, Ke Qin, Aiguo Chen
2026 A* conf
GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding.
WWW
Rongzheng Wang, Shuang Liang, Qizhi Chen, Yihong Huang, Muquan Li, Yizhuo Ma, Dongyang Zhang, Ke Qin, Man-Fai Leung
2026 A* conf
KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation.
WWW
Qizhi Chen, Chao Qi, Yihong Huang, Muquan Li, Rongzheng Wang, Dongyang Zhang, Ke Qin, Shuang Liang
2026 J jnl
KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation.
CoRR
Qizhi Chen, Chao Qi, Yihong Huang, Muquan Li, Rongzheng Wang, Dongyang Zhang, Ke Qin, Shuang Liang
2026 J jnl
LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States.
CoRR
Yeqin Zhang, Yunfei Wang, Jiaxuan Chen, Ke Qin, Yizheng Zhao, Cam-Tu Nguyen
2026 J jnl
Mitigating KG Quality Issues: A Robust Multi-Hop GraphRAG Retrieval Framework.
CoRR
Yizhuo Ma, Shuang Liang, Rongzheng Wang, Jiakai Li, Qizhi Chen, Muquan Li, Ke Qin
2026 J jnl
Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization.
CoRR
Rongzheng Wang, Yihong Huang, Muquan Li, Jiakai Li, Di Liang, Bob Simons, Pei Ke, Shuang Liang, Ke Qin
2026 J jnl
STPE-map: Multimodal alignment and spatio-temporal priors for online HD map construction.
Knowl. Based Syst.
Keke Tian, Muquan Li, Jing Zhang, Ke Qin
2026 J jnl
TopoLLM: LLM-driven adaptive tool learning for real-time emergency network topology planning.
Digit. Commun. Networks
Yizhuo Ma, Rongzheng Wang, Shuang Liang, Guangchun Luo, Ke Qin
2025 J jnl
A Graph Representation Learning-Based Method for Event Prediction.
IET Inf. Secur.
Xi Zeng, Guangchun Luo, Ke Qin, Pengyi Zheng
2025 A* conf
Adaptive Dataset Quantization.
AAAI
Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin
2025 — conf
An Attention-Based Heterogeneous Graph Convolutional Network for Social Account Classification.
ICSIM
Ruiting Dai, Guohao Huo, Lisi Mo, Ke Qin
2025 J jnl
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation.
CoRR
Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin
2025 J jnl
Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents.
CoRR
Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang
2025 J jnl
CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution.
IEEE Trans. Emerg. Top. Comput. Intell.
Dongyang Zhang, Shuang Liang, Tao He, Jie Shao, Ke Qin
2025 J jnl
Cross-Graph Knowledge Exchange for Personalized Response Generation in Dialogue Systems.
IEEE Internet Things J.
Yuezhou Dong, Ke Qin, Pei Ke, Shuang Liang, Guangchun Luo
2025 J jnl
DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering.
CoRR
Jiakai Li, Rongzheng Wang, Yizhuo Ma, Shuang Liang, Guangchun Luo, Ke Qin
2025 — conf
Denoised Edge-Aware Network for Session-based Recommendation.
ICSIM
Xiao Wang, Han Li, Ke Qin, Zherui Fan, Shuang Liang
2025 — conf
Efficient Wavelet Attention with Trainable Frequency Filter for Multi-modal Sequential Recommendation.
ICSIM
Yuang Jia, Ruiting Dai, Lisi Mo, Ke Qin
2025 — conf
Energy Propagation-based Rumor Suppression on Complex Social Networks.
ICSIM
Yujiang Ma, Ruiting Dai, Ke Qin
2025 J jnl
Enhancing sparse triplet overlapping relation extraction using triaxial syntactic fusion approach.
Knowl. Based Syst.
Hailin Wang, Ran Tao, Xiufen Fang, Guisong Liu, Ke Qin
2025 J jnl
Event-Driven Attention Network: A Cross-Modal Framework for Efficient Image-Text Retrieval in Mass Gathering Events.
Comput. Mater. Continua
Kamil Yasen, Heyan Jin, Sijie Yang, Li Zhan, Xuyang Zhang, Ke Qin, Ye Li
2025 J jnl
GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation.
Knowl. Based Syst.
Yuezhou Dong, Ke Qin, Shuang Liang, Ahmad Raza, Guangchun Luo
2025 J jnl
GraphCogent: Overcoming LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding.
CoRR
Rongzheng Wang, Qizhi Chen, Yihong Huang, Yizhuo Ma, Muquan Li, Jiakai Li, Ke Qin, Guangchun Luo, Shuang Liang
2025 — conf
GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction.
KDD (1)
Rongzheng Wang, Shuang Liang, Qizhi Chen, Jiasheng Zhang, Ke Qin
2025 Misc conf
KMG-LL: Knowledge-enhanced Multimodal Graph for Dialogue Generation.
ICASSP
Yuezhou Dong, Tao He, Qian Dong, Ke Qin
2025 — conf
MBCQ: Mixed-bias compensation quantization for extremely low-bit post-training quantization.
ICSIM
Zherui Fan, Ke Qin, Xiao Wang, Dongyang Zhang, Tao He
2025 J jnl
MLFormer: Unleashing Efficiency Without Attention for Multimodal Knowledge Graph Embedding.
IEEE Trans. Comput. Soc. Syst.
Meng Wang, Changyu Li, Feiyu Chen, Jie Shao, Ke Qin, Shuang Liang
2025 B conf
Rethinking Graph Reasoning: Equip Large Language Models with Topology-Enhanced Prompt.
IEEE Big Data
Yizhuo Ma, Rongzheng Wang, Qizhi Chen, Jiakai Li, Shuang Liang, Ke Qin
2025 J jnl
Rethinking the Denoising Strategy in Session-Based Recommendation via Bidirectional Information Flow.
Data Sci. Eng.
Xiao Wang, Tingting Dai, Wudong Cai, Ke Qin, Jie Shao, Shuang Liang
2025 B conf
RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities.
ICMR
Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang
2025 J jnl
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning.
CoRR
Xin Hu, Ke Qin, Guiduo Duan, Ming Li, Yuan-Fang Li, Tao He
2025 J jnl
Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering.
Big Data Min. Anal.
Rufai Yusuf Zakari, Jim Wilson Owusu, Ke Qin, Tao He, Guangchun Luo
2025 J jnl
Toward lightweight image super-resolution via re-parameterized kernel recalibration.
Knowl. Based Syst.
Dongyang Zhang, Jiachi Liu, Shuang Liang, Xiurui Xie, Qiang Dong, Ke Qin
2025 Misc conf
Unbiased Multimodal Audio-to-Intent Recognition.
ICASSP
Qian Dong, Yuezhou Dong, Ke Qin, Guiduo Duan, Tao He
2025 J jnl
Unbiased multimodal intent recognition with auxiliary rationale generation.
Neurocomputing
Qian Dong, Ruiting Dai, Guiduo Duan, Ke Qin, Yuyang Zhang, Tao He
2025 J jnl
VQA and Visual Reasoning: An overview of approaches, datasets, and future direction.
Neurocomputing
Rufai Yusuf Zakari, Jim Wilson Owusu, Ke Qin, Hailin Wang, Zaharaddeen Karami Lawal, Tao He
2025 — conf
Virtual Reality-Based Exposure Therapy System for Cognitive Rehabilitation in Alzheimer's Disease.
HCI (45)
Jing Chen, Ke Qin, Lizun Yang, Shengkang Zhang, Xuanchen Lu, Lin Shu
2024 — conf
A Motor Imagery Transfer Learning Approach Based on Riemannian Alignment and Distance Preservation to Local Mean.
i-CREATe
Ke Qin, Tingnan Qu, Shurui Li, Jing Jin
2024 J jnl
A Time-Local Transformation Steady-State Visual Evoked Potentials Recognition Framework Combined With Filter Banks.
IEEE Trans. Instrum. Meas.
Ke Qin, Ren Xu, Xinjie He, Yutao Zhang, Xingyu Wang, Andrzej Cichocki, Jing Jin
2024 — conf
ACT-R Theory Can Promote Personality Analysis of Social Network Subjects.
ICIC (LNAI 3)
Li-Teng Miao, Yi-Zhuo Ma, Ke Qin, Ruiting Dai, Ahmad Raza
2024 J jnl
Adaptive Dataset Quantization.
CoRR
Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin
2024 — conf
Beta-LR: Interpretable Logical Reasoning based on Beta Distribution.
NAACL-HLT (Findings)
Yizhuo Ma, Ke Qin, Shuang Liang
2024 J jnl
Completion Time Optimization in UAV-Relaying-Assisted MEC Networks With Moving Users.
IEEE Trans. Consumer Electron.
Qiuyi Qi, Tuo Shi, Ke Qin, Guangchun Luo
2024 J jnl
Distributed leadership, open innovation, and organisational ambidexterity: the moderating roles of connectedness and environmental dynamism.
Technol. Anal. Strateg. Manag.
Lihua Fu, Ke Qin, Ruijie Li, Yaokuang Li
2024 J jnl
Enhancing relation extraction using multi-task learning with SDP evidence.
Inf. Sci.
Hailin Wang, Dan Zhang, Guisong Liu, Li Huang, Ke Qin
2024 J jnl
GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction.
CoRR
Rongzheng Wang, Shuang Liang, Qizhi Chen, Jiasheng Zhang, Ke Qin
2024 — conf
Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems.
NLPCC (1)
Yuezhou Dong, Ke Qin, Shuang Liang
2024 J jnl
Highly Sensitive and Selective Defect WS2 Chemical Sensor for Detecting HCHO Toxic Gases.
Sensors
Zhen Cui, Hanxiao Wang, Kunqi Yang, Yang Shen, Ke Qin, Pei Yuan, Enling Li
2024 B conf
Knowledge Distillation for Single Image Super-Resolution via Contrastive Learning.
ICMR
Cencen Liu, Dongyang Zhang, Ke Qin
2024 J jnl
Leveraging Spatiotemporal Estimation for Online Adaptive Steady-State Visual Evoked Potential Recognition.
IEEE Trans. Cogn. Dev. Syst.
Jing Jin, Xinjie He, Brendan Z. Allison, Ke Qin, Xingyu Wang, Andrzej Cichocki
2024 J jnl
Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition.
IEEE Trans. Biomed. Eng.
Xinjie He, Brendan Z. Allison, Ke Qin, Wei Liang, Xingyu Wang, Andrzej Cichocki, Jing Jin
2024 J jnl
Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention.
Neural Networks
Hao Sun, Yi Ding, Jianzhu Bao, Ke Qin, Chengxuan Tong, Jing Jin, Cuntai Guan
2024 J jnl
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality.
CoRR
Ruiting Dai, Yuqiao Tan, Lisi Mo, Tao He, Ke Qin, Shuang Liang
2024 J jnl
No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks.
CoRR
Gang Hu, Ke Qin, Chenhan Yuan, Min Peng, Alejandro Lopez-Lira, Benyou Wang, Sophia Ananiadou, Wanlong Yu, Jimin Huang, Qianqian Xie
2024 B conf
ToFC: Tree-of-Fact with Continued Best-First Search for Commonsense Reasoning.
IJCNN
Ling Dai, Ke Qin
2024 A* conf
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation.
ACM Multimedia
Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin
2024 J jnl
Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation.
CoRR
Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin
2024 J jnl
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning.
CoRR
Tao He, Tongtong Wu, Dongyang Zhang, Guiduo Duan, Ke Qin, Yuan-Fang Li
2023 J jnl
A causal-based symbolic reasoning framework for uncertain knowledge graphs.
Comput. Electr. Eng.
Guoming Lu, Hao Zhang, Ke Qin, Kai Du
2023 J jnl
Active learning in multi-label image classification with graph convolutional network embedding.
Future Gener. Comput. Syst.
Xiurui Xie, Maojun Tian, Guangchun Luo, Guisong Liu, Yizhe Wu, Ke Qin
2023 — conf
An Extractive Text Summarization Based on Reinforcement Learning.
ICSIM
Kai Du, Guoming Lu, Ke Qin
2023 J jnl
Denoising Graph Inference Network for Document-Level Relation Extraction.
Big Data Min. Anal.
Hailin Wang, Ke Qin, Guiduo Duan, Guangchun Luo
2023 J jnl
Edge convolutional networks: Decomposing graph convolutional networks for stochastic training with independent edges.
Neurocomputing
Yi Luo, Yan Huang, Guangchun Luo, Ke Qin, Aiguo Chen
2023 J jnl
Graph Entropy Minimization for Semi-supervised Node Classification.
CoRR
Yi Luo, Guangchun Luo, Ke Qin, Aiguo Chen
2023 — conf
Interpretable Fake News Detection on Social Media.
ICSIM
Xiwei Xu, Ke Qin
2022 J jnl
Deep neural network-based relation extraction: an overview.
Neural Comput. Appl.
Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guoming Lu, Jin Yin
2022 J jnl
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges.
CoRR
Rufai Yusuf Zakari, Jim Wilson Owusu, Hailin Wang, Ke Qin, Zaharaddeen Karami Lawal, Yuezhou Dong
2021 J jnl
Deep Neural Network Based Relation Extraction: An Overview.
CoRR
Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu
2021 J jnl
Document-level relation extraction using evidence reasoning on RST-GRAPH.
Knowl. Based Syst.
Hailin Wang, Ke Qin, Guoming Lu, Jin Yin, Rufai Yusuf Zakari, Jim Wilson Owusu
2021 J jnl
Improving Neural Machine Translation Model with Deep Encoding Information.
Cogn. Comput.
Guiduo Duan, Haobo Yang, Ke Qin, Tianxi Huang
2021 J jnl
Learning Chinese word representation better by cascade morphological n-gram.
Neural Comput. Appl.
Zongyang Xiong, Ke Qin, Haobo Yang, Guangchun Luo
2021 J jnl
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion.
CoRR
Haipeng Gao, Kun Yang, Yuxue Yang, Rufai Yusuf Zakari, Jim Wilson Owusu, Ke Qin
2021 — conf
Relation Extraction: A Brief Survey on Deep Neural Network Based Methods.
ICSIM
Hailin Wang, Guoming Lu, Jin Yin, Ke Qin
2021 J jnl
SSVEP signal classification and recognition based on individual signal mixing template multivariate synchronization index algorithm.
Biomed. Signal Process. Control.
Ke Qin, Raofen Wang
2021 J jnl
STGSN - A Spatial-Temporal Graph Neural Network framework for time-evolving social networks.
Knowl. Based Syst.
Shengjie Min, Zhan Gao, Jing Peng, Liang Wang, Ke Qin, Bo Fang
2021 J jnl
Unsupervised domain adaptation for person re-identification with iterative soft clustering.
Knowl. Based Syst.
Jean-Paul Ainam, Ke Qin, Jim Wilson Owusu, Guoming Lu
2020 J jnl
Direction-sensitive relation extraction using Bi-SDP attention model.
Knowl. Based Syst.
Hailin Wang, Ke Qin, Guoming Lu, Guangchun Luo, Guisong Liu
2020 J jnl
Enforcing Affinity Feature Learning through Self-attention for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl.
Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo, Brighter Agyemang
2020 J jnl
Resonance - An Intelligence Analysis Framework for Social Connection Inference via Mining Co-Occurrence Patterns Over Multiplex Trajectories.
IEEE Access
Shengjie Min, Guangchun Luo, Zhan Gao, Jing Peng, Ke Qin
2019 — conf
Cascade Morphological n-Gram Can Improve Chinese Words Representation Learning.
iThings/GreenCom/CPSCom/SmartData
Haobo Yang, Zongyang Xiong, Jiexin Zhang, Ke Qin, Guoming Lu
2019 Misc conf
Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy.
ICMLC
Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo
2019 — conf
Ship Adaptive Track Keeping Control Based on Iterative Sliding Mode.
ICITE
Kaige Ding, Renxiang Bu, Ke Qin, Tieshan Li
2019 — conf
Ship Course Prediction Based on Self-adapting PSO-BP Neural Network Model.
ICITE
Xinyu Li, Renxiang Bu, Ke Qin, Yong Liu
2019 J jnl
Sparse Label Smoothing Regularization for Person Re-Identification.
IEEE Access
Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo
2019 — conf
Structural Design and Simulation Analysis of 4-DOF Heavy-Duty Robot.
RCAR
Haiyan Shao, Xinle Li, Ke Qin, Weiping Liu, Guoping Li, Tao Wu
2019 J jnl
View-Invariant and Similarity Learning for Robust Person Re-Identification.
IEEE Access
Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo
2018 J jnl
Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine.
Sensors
Zhiyuan Ma, Guangchun Luo, Ke Qin, Nan Wang, Weina Niu
2018 J jnl
Self Attention Grid for Person Re-Identification.
CoRR
Jean-Paul Ainam, Ke Qin, Guisong Liu
2018 J jnl
Sparse Label Smoothing for Semi-supervised Person Re-Identification.
CoRR
Jean-Paul Ainam, Ke Qin, Guisong Liu, Guangchun Luo
2018 J jnl
Weighted Domain Transfer Extreme Learning Machine and Its Online Version for Gas Sensor Drift Compensation in E-Nose Systems.
Wirel. Commun. Mob. Comput.
Zhiyuan Ma, Guangchun Luo, Ke Qin, Nan Wang, Weina Niu
2017 J jnl
An algorithm based on logistic regression with data fusion in wireless sensor networks.
EURASIP J. Wirel. Commun. Netw.
Longgeng Liu, Guangchun Luo, Ke Qin, Xiping Zhang
2017 — conf
An on-demand global time synchronization based on data analysis for wireless sensor networks.
IIKI
Longgeng Liu, Guangchun Luo, Ke Qin, Xiping Zhang
2017 J jnl
On Chaotic Neural Network Design: A New Framework.
Neural Process. Lett.
Ke Qin
2016 — conf
A Hybrid PSO and SVM Algorithm for Content Based Image Retrieval.
ICCSA (1)
Xinjian Wang, Guangchun Luo, Ke Qin, Aiguo Chen
2016 — conf
A Parallel DBSCAN Algorithm Based on Spark.
BDCloud-SocialCom-SustainCom
Guangchun Luo, Xiaoyu Luo, Thomas Fairley Gooch, Ling Tian, Ke Qin
2015 J jnl
Greedy Zone Epidemic Routing in Urban VANETs.
IEICE Trans. Commun.
Guangchun Luo, Haifeng Sun, Ke Qin, Junbao Zhang
2014 J jnl
Combining the requirement information for software defect estimation in design time.
Inf. Process. Lett.
Ying Ma, Shunzhi Zhu, Ke Qin, Guangchun Luo
2014 — conf
Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks.
ISCIS
Ke Qin, B. John Oommen
2014 J jnl
Discrimination Analysis for Predicting Defect-Prone Software Modules.
J. Appl. Math.
Ying Ma, Ke Qin, Shunzhi Zhu
2014 J jnl
On Software Defect Prediction Using Machine Learning.
J. Appl. Math.
Jinsheng Ren, Ke Qin, Ying Ma, Guangchun Luo
2014 J jnl
Projective synchronization of different chaotic neural networks with mixed time delays based on an integral sliding mode controller.
Neurocomputing
Yanchao Shi, Peiyong Zhu, Ke Qin
2013 J jnl
An Efficient Algorithm for Node-Weighted Tree Partitioning with Subtrees' Weights in a Given Range.
IEICE Trans. Inf. Syst.
Guangchun Luo, Hao Chen, Caihui Qu, Yuhai Liu, Ke Qin
2013 J jnl
Exploiting intercontact time for routing in delay tolerant networks.
Trans. Emerg. Telecommun. Technol.
Guangchun Luo, Junbao Zhang, Haojun Huang, Ke Qin, Haifeng Sun
2013 J jnl
Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties.
Trans. Comput. Collect. Intell.
Ke Qin, B. John Oommen
2012 J jnl
Active Learning for Software Defect Prediction.
IEICE Trans. Inf. Syst.
Guangchun Luo, Ying Ma, Ke Qin
2012 C conf
An Algorithm for Partitioning a Tree Into Sibling Subtree Clusters Weighted in a Given Range.
PDCAT
Hao Chen, Guangchun Luo, Ke Qin, Ningduo Peng, Wen Hao
2012 J jnl
Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction.
IEICE Trans. Inf. Syst.
Guangchun Luo, Ying Ma, Ke Qin
2012 J jnl
Dynamical Associative Memory: The Properties of the New Weighted Chaotic Adachi Neural Network.
IEICE Trans. Inf. Syst.
Guangchun Luo, Jinsheng Ren, Ke Qin
2012 J jnl
Location-Aware Social Routing in Delay Tolerant Networks.
IEICE Trans. Commun.
Guangchun Luo, Junbao Zhang, Ke Qin, Haifeng Sun
2012 J jnl
The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network.
Intell. Decis. Technol.
Ke Qin, B. John Oommen
2011 — conf
A Cyclic-Translation-Based Grid-Quadtree Index for Continuous Range Queries over Moving Objects.
WiMo/CoNeCo
Hao Chen, Guangchun Luo, Aiguo Chen, Ke Qin, Caihui Qu
2010 Misc conf
A Novel Multicast Key Exchange Algorithm Based on Extended Chebyshev Map.
CISIS
Ke Qin, Mingtian Zhou, Yong Feng
2009 J jnl
Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology.
IEEE Trans. Neural Networks
Ke Qin, B. John Oommen
2009 J jnl
Exploiting Redundancies to Enhance Schedulability in Fault-Tolerant and Real-Time Distributed Systems.
IEEE Trans. Syst. Man Cybern. Part A
Wei Luo, Xiao Qin, Xian-Chun Tan, Ke Qin, Adam Manzanares
2008 — conf
Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network.
SSPR/SPR
Ke Qin, B. John Oommen
2007 C conf
A Novel Group Key Management Based on Jacobian Elliptic Chebyshev Rational Map.
NPC
Ke Qin, Mingtian Zhou, Naiqi Liu, Yujie Hao, Jiandong Guo
2007 — conf
Design the Nano manipulation system based on AFM: A system view with force feedback research.
ROBIO
Lei Miao, Lei Zhou, Liu Zhu, Ke Qin, Wenlin Zhang, Zaili Dong, Wen Jung Li