Applying Association Analysis to Dynamic Slicing Based Fault Localization. - Heling Cao; Shujuan Jiang; Xiaolin Ju; Yanmei Zhang; Guan Yuan (IEICE Trans. Inf. Syst., 2014)

An approach of class integration test order determination based on test levels. - Yanmei Zhang; Shujuan Jiang; Guan Yuan; Xiaolin Ju; Hongchang Zhang (Softw. Pract. Exp., 2015)

Hidden Naive Bayes Indoor Fingerprinting Localization Based on Best-Discriminating AP Selection. - Chunjing Song; Jian Wang; Guan Yuan (ISPRS Int. J. Geo Inf., 2016)

A review of moving object trajectory clustering algorithms. - Guan Yuan; Penghui Sun; Jie Zhao; Daxing Li; Canwei Wang (Artif. Intell. Rev., 2017)

Multi-granularity periodic activity discovery for moving objects. - Guan Yuan; Jie Zhao; Shixiong Xia; Yanmei Zhang; Wen Li (Int. J. Geogr. Inf. Sci., 2017)

Indoor Fingerprint Positioning Based on Wi-Fi: An Overview. - Shixiong Xia; Yi Liu; Guan Yuan; Mingjun Zhu; Zhaohui Wang (ISPRS Int. J. Geo Inf., 2017)

Sparse High-Noise GPS Trajectory Data Compression and Recovery Based on Compressed Sensing. - Guan Yuan; Mingjun Zhu; Shaojie Qiao; Zhixiao Wang; Lei Zhang 110 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Tracking the evolution of overlapping communities in dynamic social networks. - Zhixiao Wang; Zechao Li; Guan Yuan; Yunlian Sun; Xiaobin Rui; Xinguang Xiang (Knowl. Based Syst., 2018)

CMNet: A Connect-and-Merge Convolutional Neural Network for Fast Vehicle Detection in Urban Traffic Surveillance. - Fukai Zhang; Feng Yang 007; Ce Li 002; Guan Yuan (IEEE Access, 2019)

An overview on trajectory outlier detection. - Fanrong Meng; Guan Yuan; Shaoqian Lv; Zhixiao Wang; Shixiong Xia (Artif. Intell. Rev., 2019)

A reversed node ranking approach for influence maximization in social networks. - Xiaobin Rui; Fanrong Meng; Zhixiao Wang; Guan Yuan (Appl. Intell., 2019)

A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization. - Nan Han; Shaojie Qiao; Guan Yuan; Ping Huang; Dingxiang Liu; Kun Yue (Artif. Intell. Medicine, 2019)

Hierarchical Community Detection in Social Networks Based on Micro-Community and Minimum Spanning Tree. - Zhixiao Wang; Mengnan Hou; Guan Yuan; Jing He 008; Jingjing Cui; Mingjun Zhu (IEICE Trans. Inf. Syst., 2019)

APDS: A framework for discovering movement pattern from trajectory database. - Guan Yuan; Zhongqiu Wang; Zhixiao Wang; Fukai Zhang; Li Yuan; Jian Zhang (Int. J. Distributed Sens. Networks, 2019)

Sliding Covariance Matrix: Co-learning Spatiotemporal Geometry Feature for Skeleton Based Action Recognition. - Guan Huang; Qiuyan Yan; Guan Yuan (WISA, 2020)

A point-of-interest suggestion algorithm in Multi-source geo-social networks. - Xi Xiong; Shaojie Qiao; Yuanyuan Li; Nan Han; Guan Yuan; Yongqing Zhang (Eng. Appl. Artif. Intell., 2020)

Unsupervised learning trajectory anomaly detection algorithm based on deep representation. - Zhongqiu Wang; Guan Yuan; Haoran Pei; Yanmei Zhang; Xiao Liu (Int. J. Distributed Sens. Networks, 2020)

Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks. - Xi Xiong; Shaojie Qiao; Nan Han; Fei Xiong; Zhan Bu; Rong-Hua Li; Kun Yue; Guan Yuan (Neurocomputing, 2020)

A neighborhood link sensitive dismantling method for social networks. - Zhixiao Wang; Chengcheng Sun; Guan Yuan; Xiaobin Rui; Xiaodong Yang (J. Comput. Sci., 2020)

A novel handover detection model via frequent trajectory patterns mining. - Nan Han; Shaojie Qiao; Guan Yuan; Rui Mao 001; Kun Yue; Changan Yuan 001 (Int. J. Mach. Learn. Cybern., 2020)

Multiview image generation for vehicle reidentification. - Fukai Zhang; Yongqiang Ma; Guan Yuan; Haiyan Zhang; Jianji Ren (Appl. Intell., 2021)

FG-CF: Friends-aware graph collaborative filtering for POI recommendation. - Zhuo Cai 002; Guan Yuan; Shaojie Qiao; Song Qu; Yanmei Zhang; Rui Bing (Neurocomputing, 2022)

Generating Optimal Class Integration Test Orders Using Genetic Algorithms. - Yanmei Zhang; Shujuan Jiang; Yanru Ding; Guan Yuan; Junjie Liu; Dongyu Lu; Junyan Qian (Int. J. Softw. Eng. Knowl. Eng., 2022)

All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures. - Zhuo Cai 002; Guan Yuan; Xiaobao Zhuang; Xiao Liu; Rui Bing; Shoujin Wang (ICONIP (14), 2023)

A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings. - Yanru Ding; Yanmei Zhang; Guan Yuan; Yingjie Li; Shujuan Jiang; Wei Dai 004 (ICONIP (2), 2023)

Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications. - Rui Bing; Guan Yuan; Mu Zhu; Fanrong Meng; Huifang Ma; Shaojie Qiao (Artif. Intell. Rev., 2023)

Imbalanced data classification: Using transfer learning and active sampling. - Yang Liu; Guoping Yang; Shaojie Qiao; Meiqi Liu; Lulu Qu; Nan Han; Tao Wu 003; Guan Yuan; Tao Wu 003; Yuzhong Peng (Eng. Appl. Artif. Intell., 2023)

Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning. - Rui Bing; Guan Yuan; Fanrong Meng; Senzhang Wang; Shaojie Qiao; Zhixiao Wang (Int. J. Softw. Informatics, 2023)

MIAKF: Motion Inertia Estimated Adaptive Kalman Filtering for Underground Mine Tunnel Positioning. - Guan Yuan; Suyang Shi; Gang Shen; Qiang Niu; Zhencai Zhu; Qing-Guo Wang (IEEE Trans. Instrum. Meas., 2023)

Progress on class integration test order generation approaches: A systematic literature review. - Yanru Ding; Yanmei Zhang; Guan Yuan; Shujuan Jiang; Wei Dai 004 (Inf. Softw. Technol., 2023)

Adaptive self-propagation graph convolutional network for recommendation. - Zhuo Cai 002; Guan Yuan; Xiaobao Zhuang; Senzhang Wang; Shaojie Qiao; Mu Zhu (World Wide Web (WWW), 2023)

Integration test order generation based on reinforcement learning considering class importance. - Yanru Ding; Yanmei Zhang; Guan Yuan; Shujuan Jiang; Wei Dai 004; Yinghui Zhang (J. Syst. Softw., 2023)

Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation. - Rui Bing; Guan Yuan; Zhuo Cai 002; Bohan Li 001; Yong Zhou 003 (APWeb/WAIM (2), 2024)

Multi-view Graph Neural Network for Fair Representation Learning. - Guixian Zhang; Guan Yuan; Debo Cheng; Ludan He; Rui Bing; Jiuyong Li; Shichao Zhang 001 (APWeb/WAIM (3), 2024)

When Skeleton Meets Motion: Adaptive Multimodal Graph Representation Fusion for Action Recognition. - Xiao Liu; Guan Yuan; Rui Bing; Zhuo Cai 002; Shengshen Fu; Yonghao Yu (ICME, 2024)

GraphKAN: An Efficient Graph Kolmogorov Arnold Networks for Traffic Forecasting. - Wenzhu Zhao; Guan Yuan; Rui Bing; Xiao Liu; Guixian Zhang (SmartCity, 2024)

Mitigating Propensity Bias of Large Language Models for Recommender Systems. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (CoRR, 2024)

Towards Fair Graph Representation Learning in Social Networks. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (CoRR, 2024)

Learning fair representations via rebalancing graph structure. - Guixian Zhang; Debo Cheng; Guan Yuan; Shichao Zhang 001 (Inf. Process. Manag., 2024)

A lightweight attention-based network for micro-expression recognition. - Dashuai Hao; Mu Zhu; Chen Zhang; Guan Yuan; Qiuyan Yan; Xiaobao Zhuang (Multim. Tools Appl., 2024)

Community detection: Concepts, algorithms, evaluation and challenges. - Song Qu; Guan Yuan; Hui Xu; Yanmei Zhang; Mingqing Tang; Mu Zhu (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection. - Guixian Zhang; Shichao Zhang 001; Guan Yuan (ACM Trans. Knowl. Discov. Data, 2024)

A class integration test order generation approach based on Sarsa algorithm. - Yun Li; Yanmei Zhang; Yanru Ding; Shujuan Jiang; Guan Yuan (Autom. Softw. Eng., 2024)

Correction to: A class integration test order generation approach based on Sarsa algorithm. - Yun Li; Yanmei Zhang; Yanru Ding; Shujuan Jiang; Guan Yuan (Autom. Softw. Eng., 2024)

A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions. - Shaojie Qiao; Nan Han; He Li 006; Guan Yuan; Tao Wu 003; Yuzhong Peng; Hongguo Cai; Jiangtao Huang (Appl. Intell., 2024)

Community Detection for Heterogeneous Multiple Social Networks. - Ziqing Zhu; Guan Yuan; Tao Zhou; Jiuxin Cao (IEEE Trans. Comput. Soc. Syst., 2024)

An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. - Jing Nan; Wei Dai 004; Guan Yuan; Ping Zhou 003 (IEEE Trans. Ind. Informatics, 2024)

GTR: An SQL Generator With Transition Representation in Cross-Domain Database Systems. - Shaojie Qiao; Chenxu Liu; Guoping Yang; Nan Han; Yuhan Peng; Lingchun Wu; He Li 006; Guan Yuan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Optimizing Class Integration Testing with Criticality-Driven Test Order Generation. - Yanru Ding; Yanmei Zhang; Guan Yuan; Shujuan Jiang; Wei Dai 004; Luciano Baresi (SANER, 2025)

BTAL: An imbalance software bug report triage approach based on BERT-TextCNN. - Yanmei Zhang; Yuhang Sun; Yi Shi; Shujuan Jiang; Guan Yuan (Inf. Softw. Technol., 2025)

Automated message selection for robust Heterogeneous Graph Contrastive Learning. - Rui Bing; Guan Yuan; Yanmei Zhang; Yong Zhou 003; Qiuyan Yan (Knowl. Based Syst., 2025)

Disentangled contrastive learning for fair graph representations. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (Neural Networks, 2025)

Enhancing Multimodal Action Recognition With Semantic-Guided Feature Disentangled and Multichannel Adaptive Feature Fusion. - Xiao Liu; Guan Yuan; Yanmei Zhang; Yong Zhou 003; Sen Qiu; Wei Dai 004 (IEEE Trans. Instrum. Meas., 2025)

Patch-Based Fourier Attention-Enhanced Contrastive Learning Networks for Robust Drift Diagnosis in Long-Sequence Bearing Data. - Guan Yuan; Ziqing Zhu; Qiang Niu; Gang Shen; Zhencai Zhu; Yan Zhou; Qing-Guo Wang (IEEE Trans. Instrum. Meas., 2025)

An effective two-stage training scheme for boundary decision of imbalanced samples. - Qi Xue; Shaojie Qiao; Guoping Yang; Hai Liao; Nan Han; Yuhan Peng; Tao Wu 003; Guan Yuan; He Li 006 (Int. J. Mach. Learn. Cybern., 2025)

Periodicity aware spatial-temporal adaptive hypergraph neural network for traffic forecasting. - Wenzhu Zhao; Guan Yuan; Rui Bing; Ruidong Lu; Yudong Shen (GeoInformatica, 2025)

An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning. - Rui Bing; Guan Yuan; Yanmei Zhang; Senzhang Wang; Bohan Li 001; Yong Zhou 003 (IEEE Trans. Big Data, 2025)

Deconfounding representation learning for mitigating latent confounding effects in recommendation. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Ziqi Xu 001; Shichao Zhang 001 (Knowl. Inf. Syst., 2025)

An interpretable and efficient multi-scale spatio-temporal neural network for traffic flow forecasting. - Wenzhu Zhao; Guan Yuan; Yanmei Zhang; Xiao Liu; Shang Liu 001; Lei Zhang 110 (Expert Syst. Appl., 2026)