Research for Hopf bifurcation of an inertial two-neuron system with time delay. - Qun Liu 005; Xiaofeng Liao 001; Guoyin Wang 001; Yu Wu 001 (GrC, 2006)

The Research for Hopf Bifurcation in a Single Inertial Neuron Model with External Forcing. - Qun Liu 005; Xiaofeng Liao 001; Degang Yang; Songtao Guo (GrC, 2007)

Bifurcating Periodic Solutions for a Single Delayed Neuron Model under Periodic Excitation. - Qun Liu 005; Lanfen Wang; Yu Wu 001 (GrC, 2008)

Novel delay-range-dependent stability analysis of the second-order congestion control algorithm with heterogonous communication delays. - Songtao Guo; Gang Feng 001; Xiaofeng Liao 001; Qun Liu 005 (J. Netw. Comput. Appl., 2009)

Research on Cooperative Packet Forwarding and Punishment Mechanism in Wireless Sensor Networks. - Qun Liu 005; Xingping Xian; Songtao Guo; Tao Wu 003 (GrC, 2010)

A novel clustering algorithm using hypergraph-based granular computing. - Qun Liu 005; Xiaofeng Liao 001; Yu Wu 001 (Int. J. Intell. Syst., 2010)

Game Theoretic Approach in Routing Protocol for Cooperative Wireless Sensor Networks. - Qun Liu 005; Xingping Xian; Tao Wu 003 (ICSI (2), 2011)

Correlative Particle Swarm Optimization for Multi-objective Problems. - Yuanxia Shen; Guoyin Wang 001; Qun Liu 005 (ICSI (2), 2011)

A new K-means algorithm for community structures detection based on fuzzy clustering. - Qun Liu 005; Zhiming Peng; Yi Gao; Qian Liu (GrC, 2012)

Design and implementation of a street parking system using wireless sensor networks. - Jin Gu; Zusheng Zhang; Fengqi Yu; Qun Liu 005 (INDIN, 2012)

A Novel Collaborative Filtering Algorithm Based on Social Network. - Qun Liu 005; Yi Gao; Zhiming Peng (ICSI (2), 2012)

Stability analysis of swarms with interaction time delays. - Qun Liu 005; Lanfen Wang; Xiaofeng Liao 001 (Inf. Sci., 2012)

Evaluate dynamic network with evolutionary game method. - Qun Liu 005; Jia Yi (GrC, 2013)

A secure and efficient outsourceable group key transfer protocol in cloud computing. - Junchao Wu; Qun Liu 005; Xiaofeng Liao 001 (SCC@ASIACCS, 2014)

On reaching group consensus for linearly coupled multi-agent networks. - Lianghao Ji; Qun Liu 005; Xiaofeng Liao 001 (Inf. Sci., 2014)

Evacuation Planning with Flood Inundation as Inputs. - Lili Yang 001; Qun Liu 005; Shuang-Hua Yang; Dapeng Yu (ISCRAM, 2015)

Can your smartphone detect your emotion? - Daxiang Dai; Qun Liu 005; Hongying Meng (ICNC-FSKD, 2016)

On adaptive pinning consensus for dynamic multi-agent networks with general connected topology. - Lianghao Ji; Yi Tang; Qun Liu 005; Xiaofeng Liao 001 (IJCNN, 2016)

Game-theory-based coordination in wireless sensor and actor networks. - Qun Liu 005; Shuang-Hua Yang; Lijiao Zhang; Lianghao Ji (IET Wirel. Sens. Syst., 2016)

Vibration-Based Outlier Detection on High Dimensional Data. - Shuyin Xia; Guoyin Wang 001; Hong Yu 007; Qun Liu 005; Jin Wang 006 (Int. J. Artif. Intell. Tools, 2016)

Noise self-filtering K-nearest neighbors algorithms. - Shuyin Xia; Guoyin Wang 001; Yunsheng Liu; Qun Liu 005; Hong Yu 007 (IEEE BigData, 2017)

A Multi-Granular Relative Density Model for Class Noise Detection. - Xiao Liang; Shuyin Xia; Qun Liu 005; Yunsheng Liu; Baiyun Chen; Guoyin Wang 001 (IEEE BigData, 2018)

Multi-granularity Network Representation Learning Based on Game Theory. - Hang Shu; Qun Liu 005; Shuyin Xia (ICDM Workshops, 2018)

An Ensemble Classifier Based on Three-Way Decisions for Social Touch Gesture Recognition. - Gangqiang Zhang; Qun Liu 005; Yubin Shi; Hongying Meng (ICSI (2), 2018)

Group Consensus for Discrete-Time Heterogeneous Multiagent Systems with Input and Communication Delays. - Yiliu Jiang; Lianghao Ji; Xingcheng Pu; Qun Liu 005 (Complex., 2018)

Couple-group consensus for discrete-time heterogeneous multiagent systems with cooperative-competitive interactions and time delays. - Yiliu Jiang; Lianghao Ji; Qun Liu 005; Shasha Yang 002; Xiaofeng Liao 001 (Neurocomputing, 2018)

基于序贯三支决策的多粒度情感分类方法 (Multi-granularity Sentiment Classification Method Based on Sequential Three-way Decisions). - Gangqiang Zhang; Qun Liu 005; Lianghao Ji (计算机科学, 2018)

Transferring Ensemble Representations Using Deep Convolutional Neural Networks for Small-Scale Image Classification. - Shuyin Xia; Yulong Xia; Hong Yu 007; Qun Liu 005; Yueguo Luo; Guoyin Wang 001; Zizhong Chen (IEEE Access, 2019)

Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers. - Shuyin Xia; Guoyin Wang 001; Zizhong Chen; Yanlin Duan; Qun Liu 005 (IEEE Trans. Knowl. Data Eng., 2019)

An Abstractive Summarization Method Based on Global Gated Dual Encoder. - Lu Peng; Qun Liu 005; Lebin Lv; Weibin Deng; Chongyu Wang (NLPCC (2), 2020)

Social relationship prediction across networks using tri-training BP neural networks. - Qun Liu 005; Shuxin Liu; Guoyin Wang 001; Shuyin Xia (Neurocomputing, 2020)

HNECV: Heterogeneous Network Embedding via Cloud Model and Variational Inference. - Ming Yuan 001; Qun Liu 005; Guoyin Wang 001; Yike Guo (CICAI, 2021)

A Few Shot Image Ensemble Classification Algorithm Based on Meta-Learning. - He Peng; Qun Liu 005 (ICAIIS, 2021)

Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration. - Jiabao Zhong; Hezhe Qiao; Lin Chen 023; Mingsheng Shang 001; Qun Liu 005 (IJCNN, 2021)

Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models. - Qianmengke Zhao; Ye Wang 006; Qun Liu 005 (CoRR, 2021)

Neural ordinary differential grey model and its applications. - Dajiang Lei; Kaili Wu; Liping Zhang; Weisheng Li 001; Qun Liu 005 (Expert Syst. Appl., 2021)

HS-DTI: Drug-target Interaction Prediction Based on Hierarchical Networks and Multi-order Sequence Effect. - Xu Gong; Maotao Liu; Haichao Sun; Min Li; Qun Liu 005 (BIBM, 2022)

HierMRL: Hierarchical Structure-Aware Molecular Representation Learning for Property Prediction. - Maotao Liu; Yifan Yang 008; Xu Gong; Li Liu 030; Qun Liu 005 (BIBM, 2022)

Graph Neural Networks with Multi-granularity Pooling. - Haichao Sun; Guoyin Wang 001; Qun Liu 005 (CCIS, 2022)

Denoise Network Structure for User Alignment Across Networks via Graph Structure Learning. - Li Liu 030; Chongyang Wang; Youmin Zhang 006; Ye Wang 006; Qun Liu 005; Guoyin Wang 001 (DMBD (1), 2022)

USV Path Planning Based on Adaptive Fuzzy Reward. - Zhenhua Duan; Guoyin Wang 001; Qun Liu 005; Yan Shi (IJCRS, 2022)

Simple Flow-Based Contrastive Learning for BERT Sentence Representations. - Ziyi Tian; Qun Liu 005; Maotao Liu; Wei Deng 003 (ICSI (2), 2022)

A Novel Functional Network Based on Three-way Decision for Link Prediction in Signed Social Networks. - Qun Liu 005; Ying Chen; Gangqiang Zhang; Guoyin Wang 001 (Cogn. Comput., 2022)

Fuzzy hierarchical network embedding fusing structural and neighbor information. - Qun Liu 005; Hang Shu; Ming Yuan 001; Guoyin Wang 001 (Inf. Sci., 2022)

Multi-granularity visual explanations for CNN. - Huanan Bao; Guoyin Wang 001; Shuai Li 019; Qun Liu 005 (Knowl. Based Syst., 2022)

SW: A weighted space division framework for imbalanced problems with label noise. - Min Li; Hao Zhou 017; Qun Liu 005; Guoyin Wang 001 (Knowl. Based Syst., 2022)

LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks. - Li Liu 030; Yong Du; Ye Wang 006; William K. Cheung 001; Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001 (Knowl. Based Syst., 2022)

Adaptive Multi-granularity Aggregation Transformer for Image Captioning. - Daitianxia Li; Ye Wang 006; Qun Liu 005 (IJCRS, 2023)

An explainable molecular property prediction via multi-granularity. - Haichao Sun; Guoyin Wang 001; Qun Liu 005; Jie Yang 052; Mingyue Zheng (Inf. Sci., 2023)

Cloud-Cluster: An uncertainty clustering algorithm based on cloud model. - Yue Liu; Zitu Liu; Shuang Li; Yike Guo; Qun Liu 005; Guoyin Wang 001 (Knowl. Based Syst., 2023)

Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. - Zihan Yan; Li Liu 030; Xin Li 033; William K. Cheung 001; Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Hierarchical multi-UAVs task assignment based on dominance rough sets. - Haihuan Jiang; Guoyin Wang 001; Qun Liu 005; Peng Gao; Xin Huang (Appl. Soft Comput., 2023)

Cloud-VAE: Variational autoencoder with concepts embedded. - Yue Liu; Zitu Liu; Shuang Li; Zhenyao Yu; Yike Guo; Qun Liu 005; Guoyin Wang 001 (Pattern Recognit., 2023)

A spatiotemporal fusion method based on interpretable deep networks. - Dajiang Lei; Jiayang Tan; Yue Wu; Qun Liu 005; Weisheng Li 001 (Appl. Intell., 2023)

High-practicability image completion using attention mechanism and joint enhancive discriminator. - Ruqi Wang; Guoyin Wang 001; Guiyin Zou; Qun Liu 005 (Appl. Intell., 2023)

APK-MRL: An Adaptive Pre-training Framework with Knowledge-enhanced for Molecular Representation Learning. - Xu Gong; Qun Liu 005; Rui Han 001; Li Liu 030; Yike Guo; Guoyin Wang 001 (BIBM, 2024)

An Interpretable Framework for Pulmonary Nodule Malignancy Prediction. - Ruqi Wang; Guoyin Wang 001; Yunfei Zhou; Qun Liu 005 (IJCRS (3), 2024)

A Method of Multi-USV Reward Design Using Fuzzy Control. - Jianfeng Xiao; Qun Liu 005; Xin Huang (IJCRS (1), 2024)

CMIF: A Cross-Modal Information Fusion Approach for Molecular Property Prediction. - Maoyuan Zang; Xu Gong; Rui Han 001; Qun Liu 005 (IJCRS (3), 2024)

Collaborative Optimization of Truck-Drone Based on Multi-agent Reinforcement Learning. - Wenhao Zhang; Guoyin Wang 001; Qun Liu 005 (IJCRS (3), 2024)

Brain-Inspired Diagnostic Model for Lung Nodules. - Huanan Bao; Guoyin Wang 001; Qun Liu 005; Pengcheng Xu (WI/IAT, 2024)

A Multi-Population Surrogate-Assisted Algorithm Based on Granular-Ball K-Nearest Neighbors Classification for Expensive Optimization. - Haihuan Jiang; Guoyin Wang 001; Qun Liu 005; Jiajia Cao (WI/IAT, 2024)

Interpretable rough neural network for lung nodule diagnosis. - Huanan Bao; Guoyin Wang 001; Chen Liu 026; Qun Liu 005; Qiuyu Mei; Changhua Xu; Xin Wang (Appl. Soft Comput., 2024)

Concept cognition for knowledge graphs: Mining multi-granularity decision rule. - Jiangli Duan; Guoyin Wang 001; Xin Hu 008; Qun Liu 005; Qin Jiang; Huamin Zhu (Cogn. Syst. Res., 2024)

WRND: A weighted oversampling framework with relative neighborhood density for imbalanced noisy classification. - Min Li; Hao Zhou 017; Qun Liu 005; Xu Gong; Guoyin Wang 001 (Expert Syst. Appl., 2024)

GNN-MgrPool: Enhanced graph neural networks with multi-granularity pooling for graph classification. - Haichao Sun; Guoyin Wang 001; Qun Liu 005; Yike Guo (Inf. Sci., 2024)

Adaptive three-way KNN classifier using density-based granular balls. - Jie Yang 052; Juncheng Kuang; Guoyin Wang 001; Qinghua Zhang 001; Yanmin Liu; Qun Liu 005; Deyou Xia; Shuai Li 019; Xiaoqi Wang; Di Wu 056 (Inf. Sci., 2024)

Mg-SubAgg: Multi-granularity Subgraph Aggregation with topology for GNN. - Xiaoxia Zhang; Mengsheng Ye; Yun Zhang; Qun Liu 005; Guoyin Wang 001; Kesheng Wu (Inf. Sci., 2024)

Improving disentanglement in variational auto-encoders via feature imbalance-informed dimension weighting. - Yue Liu; Zhenyao Yu; Zitu Liu; Ziyi Yu; Xinyan Yang; Xingyue Li; Yike Guo; Qun Liu 005; Guoyin Wang 001 (Knowl. Based Syst., 2024)

GEAR: Learning graph neural network explainer via adjusting gradients. - Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001; William K. Cheung 001; Li Liu 030 (Knowl. Based Syst., 2024)

A Knowledge-Driven Self-Supervised Approach for Molecular Generation. - Maotao Liu; Yifan Yang 008; Qun Liu 005; Li Liu 030; Guoyin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Nonlocal Deep Unfolding Pansharpening Method Based on Degradation Kernel Estimation. - Dajiang Lei; Genyuan Zhang; Junming Wang; Qun Liu 005; Weisheng Li 001; Liping Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

FDSR: An Interpretable Frequency Division Stepwise Process Based Single-Image Super-Resolution Network. - Pengcheng Xu; Qun Liu 005; Huanan Bao; Ruhui Zhang; Lihua Gu; Guoyin Wang 001 (IEEE Trans. Image Process., 2024)

WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning. - Li Liu 030; Penggang Chen; Xin Li 033; William Kwok-Wai Cheung; Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

KDDGAN: Knowledge-Guided Explicit Feature Disentanglement for Facial Attribute Editing. - Ye Wang 006; Qianmengke Zhao; Qun Liu 005; Guoyin Wang 001; Hong Yu 007; Li Liu 030; Jiaxu Leng (IEEE Trans. Consumer Electron., 2024)

A novel time-delay neural grey model and its applications. - Dajiang Lei; Tong Li; Liping Zhang; Qun Liu 005; Weisheng Li 001 (Expert Syst. Appl., 2024)

A multi-level semantic-assisted unsupervised heterogeneous network representation learning model. - Qun Liu 005; Chengxin Peng; Shuyin Xia; Guoyin Wang 001 (Neurocomputing, 2024)

Towards explaining graph neural networks via preserving prediction ranking and structural dependency. - Youmin Zhang 006; William K. Cheung 001; Qun Liu 005; Guoyin Wang 001; Lili Yang 001; Li Liu 030 (Inf. Process. Manag., 2024)

Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network. - Kangjia He; Li Liu 030; Youmin Zhang 006; Ye Wang 006; Qun Liu 005; Guoyin Wang 001 (IEEE Trans. Artif. Intell., 2024)

Self-supervised modal optimization transformer for image captioning. - Ye Wang 006; Daitianxia Li; Qun Liu 005; Li Liu 030; Guoyin Wang 001 (Neural Comput. Appl., 2024)

One-shot knowledge graph completion based on disentangled representation learning. - Youmin Zhang 006; Lei Sun; Ye Wang 006; Qun Liu 005; Li Liu 030 (Neural Comput. Appl., 2024)

MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction. - Rui Han 001; Qun Liu 005; Xu Gong; Guoyin Wang 001; Li Liu 030; Xingping Xian (Appl. Soft Comput., 2025)

Link prediction for attribute and structure learning based on attention mechanism. - Renjuan Nie; Guoyin Wang 001; Qun Liu 005; Chengxin Peng (Appl. Soft Comput., 2025)

Mol-L2: Transferring text knowledge with frozen language models for molecular representation learning. - Maotao Liu; Qun Liu 005; Xu Gong; Yunsong Luo; Guoyin Wang 001 (Neurocomputing, 2025)

PT-VAE: Variational autoencoder with prior concept transformation. - Zitu Liu; Yue Liu; Zhenyao Yu; Zhengwei Yang; Qingshan Fu; Yike Guo; Qun Liu 005; Guoyin Wang 001 (Neurocomputing, 2025)

Hierarchical chat-based strategies with MLLMs for Spatio-temporal action detection. - Xuyang Zhou; Ye Wang 006; Fei Tao 003; Hong Yu 007; Qun Liu 005 (Inf. Process. Manag., 2025)

ICAM: An interpretable auxiliary model for the pathological diagnosis of breast cancer based on knowledge embedding. - Lihua Gu; Xiaomin Xiong; Qun Liu 005; Dajiang Lei; Ruqi Wang; Bo Lin; Guoyin Wang 001; Bo Xu (Inf. Sci., 2025)

Intuitively interpreting GANs latent space using semantic distribution. - Ruqi Wang; Guoyin Wang 001; Lihua Gu; Qun Liu 005; Yue Liu; Yike Guo (Knowl. Based Syst., 2025)

MIFS: An adaptive multipath information fused self-supervised framework for drug discovery. - Xu Gong; Qun Liu 005; Rui Han 001; Yike Guo; Guoyin Wang 001 (Neural Networks, 2025)

Learning model-level explanations of graph neural networks via subgraph order embedding space. - Li Liu 030; Pengyu Wan; Feiyan Zhang; Youmin Zhang 006; Qun Liu 005; Guoyin Wang 001 (Neural Networks, 2025)

MDFCL: Multimodal data fusion-based graph contrastive learning framework for molecular property prediction. - Xu Gong; Maotao Liu; Qun Liu 005; Yike Guo; Guoyin Wang 001 (Pattern Recognit., 2025)

MultiGranDTI: an explainable multi-granularity representation framework for drug-target interaction prediction. - Xu Gong; Qun Liu 005; Jing He; Yike Guo; Guoyin Wang 001 (Appl. Intell., 2025)