A Novel Group Key Management Based on Jacobian Elliptic Chebyshev Rational Map. - Ke Qin; Mingtian Zhou; Naiqi Liu; Yujie Hao; Jiandong Guo (NPC, 2007)

Design the Nano manipulation system based on AFM: A system view with force feedback research. - Lei Miao 003; Lei Zhou; Liu Zhu; Ke Qin; Wenlin Zhang; Zaili Dong; Wen Jung Li (ROBIO, 2007)

Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network. - Ke Qin; B. John Oommen (SSPR/SPR, 2008)

Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology. - Ke Qin; B. John Oommen (IEEE Trans. Neural Networks, 2009)

Exploiting Redundancies to Enhance Schedulability in Fault-Tolerant and Real-Time Distributed Systems. - Wei Luo; Xiao Qin 001; Xian-Chun Tan; Ke Qin; Adam Manzanares (IEEE Trans. Syst. Man Cybern. Part A, 2009)

A Novel Multicast Key Exchange Algorithm Based on Extended Chebyshev Map. - Ke Qin; Mingtian Zhou; Yong Feng (CISIS, 2010)

A Cyclic-Translation-Based Grid-Quadtree Index for Continuous Range Queries over Moving Objects. - Hao Chen; Guangchun Luo; Aiguo Chen; Ke Qin; Caihui Qu (WiMo/CoNeCo, 2011)

An Algorithm for Partitioning a Tree Into Sibling Subtree Clusters Weighted in a Given Range. - Hao Chen; Guangchun Luo; Ke Qin; Ningduo Peng; Wen Hao (PDCAT, 2012)

The entire range of Chaotic pattern recognition properties possessed by the Adachi neural network. - Ke Qin; B. John Oommen (Intell. Decis. Technol., 2012)

Active Learning for Software Defect Prediction. - Guangchun Luo; Ying Ma; Ke Qin (IEICE Trans. Inf. Syst., 2012)

Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction. - Guangchun Luo; Ying Ma; Ke Qin (IEICE Trans. Inf. Syst., 2012)

Dynamical Associative Memory: The Properties of the New Weighted Chaotic Adachi Neural Network. - Guangchun Luo; Jinsheng Ren; Ke Qin (IEICE Trans. Inf. Syst., 2012)

Location-Aware Social Routing in Delay Tolerant Networks. - Guangchun Luo; Junbao Zhang; Ke Qin; Haifeng Sun 003 (IEICE Trans. Commun., 2012)

Exploiting intercontact time for routing in delay tolerant networks. - Guangchun Luo; Junbao Zhang; Haojun Huang; Ke Qin; Haifeng Sun 003 (Trans. Emerg. Telecommun. Technol., 2013)

An Efficient Algorithm for Node-Weighted Tree Partitioning with Subtrees' Weights in a Given Range. - Guangchun Luo; Hao Chen; Caihui Qu; Yuhai Liu; Ke Qin (IEICE Trans. Inf. Syst., 2013)

Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties. - Ke Qin; B. John Oommen (Trans. Comput. Collect. Intell., 2013)

Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks. - Ke Qin; B. John Oommen (ISCIS, 2014)

Projective synchronization of different chaotic neural networks with mixed time delays based on an integral sliding mode controller. - Yanchao Shi; Peiyong Zhu; Ke Qin (Neurocomputing, 2014)

Combining the requirement information for software defect estimation in design time. - Ying Ma; Shunzhi Zhu; Ke Qin; Guangchun Luo (Inf. Process. Lett., 2014)

Discrimination Analysis for Predicting Defect-Prone Software Modules. - Ying Ma; Ke Qin; Shunzhi Zhu (J. Appl. Math., 2014)

On Software Defect Prediction Using Machine Learning. - Jinsheng Ren; Ke Qin; Ying Ma; Guangchun Luo (J. Appl. Math., 2014)

Greedy Zone Epidemic Routing in Urban VANETs. - Guangchun Luo; Haifeng Sun 003; Ke Qin; Junbao Zhang (IEICE Trans. Commun., 2015)

A Parallel DBSCAN Algorithm Based on Spark. - Guangchun Luo; Xiaoyu Luo; Thomas Fairley Gooch; Ling Tian; Ke Qin (BDCloud-SocialCom-SustainCom, 2016)

A Hybrid PSO and SVM Algorithm for Content Based Image Retrieval. - Xinjian Wang; Guangchun Luo; Ke Qin; Aiguo Chen (ICCSA (1), 2016)

An on-demand global time synchronization based on data analysis for wireless sensor networks. - Longgeng Liu; Guangchun Luo; Ke Qin; Xiping Zhang (IIKI, 2017)

An algorithm based on logistic regression with data fusion in wireless sensor networks. - Longgeng Liu; Guangchun Luo; Ke Qin; Xiping Zhang (EURASIP J. Wirel. Commun. Netw., 2017)

On Chaotic Neural Network Design: A New Framework. - Ke Qin (Neural Process. Lett., 2017)

Sparse Label Smoothing for Semi-supervised Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (CoRR, 2018)

Self Attention Grid for Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu (CoRR, 2018)

Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine. - Zhiyuan Ma 001; Guangchun Luo; Ke Qin; Nan Wang 003; Weina Niu (Sensors, 2018)

Weighted Domain Transfer Extreme Learning Machine and Its Online Version for Gas Sensor Drift Compensation in E-Nose Systems. - Zhiyuan Ma 001; Guangchun Luo; Ke Qin; Nan Wang 003; Weina Niu (Wirel. Commun. Mob. Comput., 2018)

Ship Adaptive Track Keeping Control Based on Iterative Sliding Mode. - Kaige Ding; Renxiang Bu; Ke Qin; Tieshan Li (ICITE, 2019)

Ship Course Prediction Based on Self-adapting PSO-BP Neural Network Model. - Xinyu Li; Renxiang Bu; Ke Qin; Yong Liu (ICITE, 2019)

Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (ICMLC, 2019)

Cascade Morphological n-Gram Can Improve Chinese Words Representation Learning. - Haobo Yang; Zongyang Xiong; Jiexin Zhang; Ke Qin; Guoming Lu (iThings/GreenCom/CPSCom/SmartData, 2019)

Structural Design and Simulation Analysis of 4-DOF Heavy-Duty Robot. - Haiyan Shao; Xinle Li; Ke Qin; Weiping Liu; Guoping Li; Tao Wu (RCAR, 2019)

Sparse Label Smoothing Regularization for Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (IEEE Access, 2019)

View-Invariant and Similarity Learning for Robust Person Re-Identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo (IEEE Access, 2019)

Resonance - An Intelligence Analysis Framework for Social Connection Inference via Mining Co-Occurrence Patterns Over Multiplex Trajectories. - Shengjie Min; Guangchun Luo; Zhan Gao; Jing Peng; Ke Qin (IEEE Access, 2020)

Direction-sensitive relation extraction using Bi-SDP attention model. - Hailin Wang 002; Ke Qin; Guoming Lu; Guangchun Luo; Guisong Liu (Knowl. Based Syst., 2020)

Enforcing Affinity Feature Learning through Self-attention for Person Re-identification. - Jean-Paul Ainam; Ke Qin; Guisong Liu; Guangchun Luo; Brighter Agyemang (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Relation Extraction: A Brief Survey on Deep Neural Network Based Methods. - Hailin Wang 002; Guoming Lu; Jin Yin; Ke Qin (ICSIM, 2021)

SSVEP signal classification and recognition based on individual signal mixing template multivariate synchronization index algorithm. - Ke Qin; Raofen Wang (Biomed. Signal Process. Control., 2021)

Improving Neural Machine Translation Model with Deep Encoding Information. - Guiduo Duan; Haobo Yang; Ke Qin; Tianxi Huang (Cogn. Comput., 2021)

Deep Neural Network Based Relation Extraction: An Overview. - Hailin Wang 002; Ke Qin; Rufai Yusuf Zakari; Guisong Liu; Guoming Lu (CoRR, 2021)

QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion. - Haipeng Gao; Kun Yang; Yuxue Yang; Rufai Yusuf Zakari; Jim Wilson Owusu; Ke Qin (CoRR, 2021)

Unsupervised domain adaptation for person re-identification with iterative soft clustering. - Jean-Paul Ainam; Ke Qin; Jim Wilson Owusu; Guoming Lu (Knowl. Based Syst., 2021)

STGSN - A Spatial-Temporal Graph Neural Network framework for time-evolving social networks. - Shengjie Min; Zhan Gao; Jing Peng; Liang Wang; Ke Qin; Bo Fang (Knowl. Based Syst., 2021)

Document-level relation extraction using evidence reasoning on RST-GRAPH. - Hailin Wang 002; Ke Qin; Guoming Lu; Jin Yin; Rufai Yusuf Zakari; Jim Wilson Owusu (Knowl. Based Syst., 2021)

Learning Chinese word representation better by cascade morphological n-gram. - Zongyang Xiong; Ke Qin; Haobo Yang; Guangchun Luo (Neural Comput. Appl., 2021)

VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges. - Rufai Yusuf Zakari; Jim Wilson Owusu; Hailin Wang 002; Ke Qin; Zaharaddeen Karami Lawal; Yuezhou Dong (CoRR, 2022)

Deep neural network-based relation extraction: an overview. - Hailin Wang 002; Ke Qin; Rufai Yusuf Zakari; Guoming Lu; Jin Yin (Neural Comput. Appl., 2022)

An Extractive Text Summarization Based on Reinforcement Learning. - Kai Du; Guoming Lu; Ke Qin (ICSIM, 2023)

Interpretable Fake News Detection on Social Media. - Xiwei Xu; Ke Qin (ICSIM, 2023)

Graph Entropy Minimization for Semi-supervised Node Classification. - Yi Luo; Guangchun Luo; Ke Qin; Aiguo Chen (CoRR, 2023)

A causal-based symbolic reasoning framework for uncertain knowledge graphs. - Guoming Lu; Hao Zhang; Ke Qin; Kai Du (Comput. Electr. Eng., 2023)

Denoising Graph Inference Network for Document-Level Relation Extraction. - Hailin Wang 002; Ke Qin; Guiduo Duan; Guangchun Luo (Big Data Min. Anal., 2023)

Edge convolutional networks: Decomposing graph convolutional networks for stochastic training with independent edges. - Yi Luo; Yan Huang; Guangchun Luo; Ke Qin; Aiguo Chen (Neurocomputing, 2023)

Active learning in multi-label image classification with graph convolutional network embedding. - Xiurui Xie; Maojun Tian; Guangchun Luo; Guisong Liu; Yizhe Wu; Ke Qin (Future Gener. Comput. Syst., 2023)

ACT-R Theory Can Promote Personality Analysis of Social Network Subjects. - Li-Teng Miao; Yi-Zhuo Ma; Ke Qin; Ruiting Dai; Ahmad Raza (ICIC (LNAI 3), 2024)

A Motor Imagery Transfer Learning Approach Based on Riemannian Alignment and Distance Preservation to Local Mean. - Ke Qin; Tingnan Qu; Shurui Li 001; Jing Jin 001 (i-CREATe, 2024)

ToFC: Tree-of-Fact with Continued Best-First Search for Commonsense Reasoning. - Ling Dai; Ke Qin (IJCNN, 2024)

Knowledge Distillation for Single Image Super-Resolution via Contrastive Learning. - Cencen Liu; Dongyang Zhang 001; Ke Qin (ICMR, 2024)

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. - Muquan Li; Dongyang Zhang 001; Tao He 007; Xiurui Xie; Yuan-Fang Li; Ke Qin (ACM Multimedia, 2024)

Beta-LR: Interpretable Logical Reasoning based on Beta Distribution. - Yizhuo Ma; Ke Qin; Shuang Liang 002 (NAACL-HLT (Findings), 2024)

Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systems. - Yuezhou Dong; Ke Qin; Shuang Liang 002 (NLPCC (1), 2024)

Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning. - Tao He 007; Tongtong Wu; Dongyang Zhang 001; Guiduo Duan; Ke Qin; Yuan-Fang Li (CoRR, 2024)

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks. - Gang Hu 003; Ke Qin; Chenhan Yuan; Min Peng 002; Alejandro Lopez-Lira; Benyou Wang; Sophia Ananiadou; Wanlong Yu; Jimin Huang; Qianqian Xie (CoRR, 2024)

MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality. - Ruiting Dai; Yuqiao Tan; Lisi Mo; Tao He 007; Ke Qin; Shuang Liang 002 (CoRR, 2024)

Enhancing relation extraction using multi-task learning with SDP evidence. - Hailin Wang 002; Dan Zhang; Guisong Liu; Li Huang 002; Ke Qin (Inf. Sci., 2024)

Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention. - Hao Sun; Yi Ding 012; Jianzhu Bao; Ke Qin; Chengxuan Tong; Jing Jin 001; Cuntai Guan (Neural Networks, 2024)

A Time-Local Transformation Steady-State Visual Evoked Potentials Recognition Framework Combined With Filter Banks. - Ke Qin; Ren Xu; Xinjie He; Yutao Zhang; Xingyu Wang 004; Andrzej Cichocki; Jing Jin 001 (IEEE Trans. Instrum. Meas., 2024)

Highly Sensitive and Selective Defect WS2 Chemical Sensor for Detecting HCHO Toxic Gases. - Zhen Cui; Hanxiao Wang; Kunqi Yang; Yang Shen; Ke Qin; Pei Yuan; Enling Li (Sensors, 2024)

Completion Time Optimization in UAV-Relaying-Assisted MEC Networks With Moving Users. - Qiuyi Qi; Tuo Shi; Ke Qin; Guangchun Luo (IEEE Trans. Consumer Electron., 2024)

Distributed leadership, open innovation, and organisational ambidexterity: the moderating roles of connectedness and environmental dynamism. - Lihua Fu; Ke Qin; Ruijie Li; Yaokuang Li (Technol. Anal. Strateg. Manag., 2024)

Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition. - Xinjie He; Brendan Z. Allison; Ke Qin; Wei Liang; Xingyu Wang 004; Andrzej Cichocki; Jing Jin 001 (IEEE Trans. Biomed. Eng., 2024)

Leveraging Spatiotemporal Estimation for Online Adaptive Steady-State Visual Evoked Potential Recognition. - Jing Jin 001; Xinjie He; Brendan Z. Allison; Ke Qin; Xingyu Wang 004; Andrzej Cichocki (IEEE Trans. Cogn. Dev. Syst., 2024)

Adaptive Dataset Quantization. - Muquan Li; Dongyang Zhang 001; Qiang Dong; Xiurui Xie; Ke Qin (AAAI, 2025)

Virtual Reality-Based Exposure Therapy System for Cognitive Rehabilitation in Alzheimer's Disease. - Jing Chen; Ke Qin; Lizun Yang; Shengkang Zhang; Xuanchen Lu; Lin Shu (HCI (45), 2025)

KMG-LL: Knowledge-enhanced Multimodal Graph for Dialogue Generation. - Yuezhou Dong; Tao He 007; Qian Dong; Ke Qin (ICASSP, 2025)

Unbiased Multimodal Audio-to-Intent Recognition. - Qian Dong; Yuezhou Dong; Ke Qin; Guiduo Duan; Tao He 007 (ICASSP, 2025)

An Attention-Based Heterogeneous Graph Convolutional Network for Social Account Classification. - Ruiting Dai; Guohao Huo; Lisi Mo; Ke Qin (ICSIM, 2025)

MBCQ: Mixed-bias compensation quantization for extremely low-bit post-training quantization. - Zherui Fan; Ke Qin; Xiao Wang 055; Dongyang Zhang 001; Tao He 007 (ICSIM, 2025)

Efficient Wavelet Attention with Trainable Frequency Filter for Multi-modal Sequential Recommendation. - Yuang Jia; Ruiting Dai; Lisi Mo; Ke Qin (ICSIM, 2025)

Energy Propagation-based Rumor Suppression on Complex Social Networks. - Yujiang Ma; Ruiting Dai; Ke Qin (ICSIM, 2025)

Denoised Edge-Aware Network for Session-based Recommendation. - Xiao Wang 055; Han Li; Ke Qin; Zherui Fan; Shuang Liang 002 (ICSIM, 2025)

GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction. - Rongzheng Wang; Shuang Liang 002; Qizhi Chen; Jiasheng Zhang; Ke Qin (KDD (1), 2025)

RobustPT: Dynamic Disentanglement Prompt Tuning in Vision-Language Models with Missing Modalities. - Ruiting Dai; Yuqiao Tan; Lisi Mo; Tao He 007; Ke Qin; Shuang Liang 002 (ICMR, 2025)

Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering. - Rufai Yusuf Zakari; Jim Wilson Owusu; Ke Qin; Tao He 007; Guangchun Luo (Big Data Min. Anal., 2025)

Unbiased multimodal intent recognition with auxiliary rationale generation. - Qian Dong; Ruiting Dai; Guiduo Duan; Ke Qin; Yuyang Zhang; Tao He 007 (Neurocomputing, 2025)

VQA and Visual Reasoning: An overview of approaches, datasets, and future direction. - Rufai Yusuf Zakari; Jim Wilson Owusu; Ke Qin; Hailin Wang; Zaharaddeen Karami Lawal; Tao He 007 (Neurocomputing, 2025)

Cross-Graph Knowledge Exchange for Personalized Response Generation in Dialogue Systems. - Yuezhou Dong; Ke Qin; Pei Ke; Shuang Liang 002; Guangchun Luo (IEEE Internet Things J., 2025)

GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation. - Yuezhou Dong; Ke Qin; Shuang Liang 002; Ahmad Raza; Guangchun Luo (Knowl. Based Syst., 2025)

Enhancing sparse triplet overlapping relation extraction using triaxial syntactic fusion approach. - Hailin Wang 002; Ran Tao; Xiufen Fang; Guisong Liu; Ke Qin (Knowl. Based Syst., 2025)

Toward lightweight image super-resolution via re-parameterized kernel recalibration. - Dongyang Zhang 001; Jiachi Liu; Shuang Liang 002; Xiurui Xie; Qiang Dong; Ke Qin (Knowl. Based Syst., 2025)

CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution. - Dongyang Zhang 001; Shuang Liang 002; Tao He 007; Jie Shao 001; Ke Qin (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning. - Xin Hu; Ke Qin; Guiduo Duan; Ming Li 065; Yuan-Fang Li; Tao He 007 (CoRR, 2025)

GraphCogent: Overcoming LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding. - Rongzheng Wang; Qizhi Chen; Yihong Huang; Yizhuo Ma; Muquan Li; Jiakai Li; Ke Qin; Guangchun Luo; Shuang Liang 002 (CoRR, 2025)

Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation. - Muquan Li; Hang Gou; Dongyang Zhang 001; Shuang Liang 002; Xiurui Xie; Deqiang Ouyang; Ke Qin (CoRR, 2025)

DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering. - Jiakai Li; Rongzheng Wang; Yizhuo Ma; Shuang Liang 002; Guangchun Luo; Ke Qin (CoRR, 2025)

A cognitive-affective chain-driven framework for emotion understanding. - Shuaipu Chen; Zhenghao Liu; Zhijian Zhang; Ke Qin; Yuxing Qian; Feicheng Ma 001 (Inf. Process. Manag., 2026)