Security and Performance in Network Component Architecture. - Dongjin Yu; Ying Li 001; Yi Zhou; Zhaohui Wu 001 (International Conference on Computational Science (1), 2006)

The Design and Implementation of the Integrated Decision Support System on Labor Market. - Dongjin Yu; Shixin Feng; Guangming Wang (ICEIS (2), 2008)

An object recognition system based on color co-occurrence histogram and geometric relations of pyramidal image patches. - Heebeom Bang; Dongjin Yu; Sanghoon Lee 002; Il Hong Suh (IROS, 2008)

Robust object recognition using a color co-occurrence histogram and the spatial relations of image patches. - Heebeom Bang; Sanghoon Lee 002; Dongjin Yu; Il Hong Suh (Artif. Life Robotics, 2009)

Message-Based Approach to Master Data Synchronization among Autonomous Information Systems. - Dongjin Yu (Int. J. Enterp. Inf. Syst., 2010)

Framework of Rich Internet Applications Based on SmartGWT. - Dongjin Yu; Pei Zhang; Jianwei Shao (ACIS-ICIS, 2011)

Towards the Rapid Application Development Based on Predefined Frameworks. - Dongjin Yu (J. Softw., 2011)

Constructing Traceability between Features and Requirements for Software Product Line Engineering. - Dongjin Yu; Peng Geng; Wei Wu (APSEC Workshops, 2012)

BIDE-Based Parallel Mining of Frequent Closed Sequences with MapReduce. - Dongjin Yu; Wei Wu; Suhang Zheng; Zhixiang Zhu (ICA3PP (2), 2012)

From Sub-patterns to Patterns: An Approach to the Detection of Structural Design Pattern Instances by Subgraph Mining and Merging. - Dongjin Yu; Yanyan Zhang; Jianlin Ge; Wei Wu (COMPSAC, 2013)

A Combination Approach to QoS Prediction of Web Services. - Dongjin Yu; Mengmeng Wu; Yuyu Yin (ICSOC Workshops, 2013)

Mining Instances of Structural Design Patterns from Class Diagrams Based on Sub-patterns. - Dongjin Yu; Zhiqing Liu; Jianlin Ge (ICSR, 2013)

Personalized QoS Prediction for Web Services Using Latent Factor Models. - Dongjin Yu; Yu Liu; Yueshen Xu; Yuyu Yin (IEEE SCC, 2014)

Towards the Identification of Cross-Cutting Concerns: A Comprehensive Dynamic Approach Based on Execution Relations. - Dongjin Yu; Xiang Su; Yunlei Mu (IEICE Trans. Inf. Syst., 2014)

jBPM4S: A Multi-tenant Extension of jBPM to Support BPaaS. - Dongjin Yu; Qi Zhu; Dalong Guo; Binbin Huang; Jianwen Su (AP-BPM, 2015)

From Goal Models to Feature Models: A Rule-Based Approach for Software Product Lines. - Dongjin Yu; Zhenli Chen; Yifei Zhang (APSEC, 2015)

Materialized View Selection Based on Adaptive Genetic Algorithm and Its Implementation with Apache Hive. - Dongjin Yu; Wensheng Dou; Zhixiang Zhu; Jiaojiao Wang (Int. J. Comput. Intell. Syst., 2015)

A comprehensive approach to the recovery of design pattern instances based on sub-patterns and method signatures. - Dongjin Yu; Yanyan Zhang; Zhenli Chen (J. Syst. Softw., 2015)

Discovering and Visualizing Underlying Traffic Regions from Vehicle Trajectories with Multi-Features. - Dongjin Yu; Ruiting Wang; Jiaojiao Wang; Wanqing Li 003 (Video Surveillance and Transportation Imaging Applications, 2016)

A Degree-Driven Approach to Design Pattern Mining Based on Graph Matching. - Ping Zhang; Dongjin Yu; Jiaojiao Wang (APSEC, 2017)

Detecting Java Code Clones with Multi-granularities Based on Bytecode. - Dongjin Yu; Jie Wang 013; Qing Wu 008; Jiazha Yang; Jiaojiao Wang; Wei Yang; Wei Yan (COMPSAC (1), 2017)

Optimization of Cloud Workflow Scheduling Based on Balanced Clustering. - Lei Zhang; Dongjin Yu; Hongsheng Zheng (CSS, 2017)

Mining collaboration patterns of software development processes based on trace alignment. - Dongjin Yu; Jiaojiao Wang (ICSSP, 2017)

Discovering Hidden Interests from Twitter for Multidimensional Analysis. - Dongjin Yu; Jingchao Sun; Yiyu Wu; Zhiyong Ni; Youhuizi Li (SEKE, 2017)

PR-LRU: A Novel Buffer Replacement Algorithm Based on the Probability of Reference for Flash Memory. - Youwei Yuan; Yeting Shen; Wanqing Li 003; Dongjin Yu; La-mei Yan; Yifei Wang (IEEE Access, 2017)

Mining Hidden Interests from Twitter Based on Word Similarity and Social Relationship for OLAP. - Dongjin Yu; Yiyu Wu; Jingchao Sun; Zhiyong Ni; Youhuizi Li; Qing Wu; Xufeng Chen (Int. J. Softw. Eng. Knowl. Eng., 2017)

Rating prediction using review texts with underlying sentiments. - Dongjin Yu; Yunlei Mu; Yike Jin (Inf. Process. Lett., 2017)

Real-Time Estimation of Road Traffic Speeds from Cell-Based Vehicle Trajectories. - Xiaoxiao Sun 001; Dongjin Yu; Sai Liao; Wanqing Li 003; Chengbiao Zhou (ICSOC Workshops, 2018)

Efficiently detecting structural design pattern instances based on ordered sequences. - Dongjin Yu; Ping Zhang; Jiazha Yang; Zhenli Chen; Chengfei Liu; Jie Chen 060 (J. Syst. Softw., 2018)

Collective POI Querying Based on Multiple Keywords and User Preference. - Dongjin Yu; Yiyu Wu; Chengfei Liu; Xiaoxiao Sun 001 (DASFAA (2), 2019)

Filtering Out Noise Logs for Process Modelling Based on Event Dependency. - Xiaoxiao Sun 001; Wenjie Hou; Dongjin Yu; Jiaojiao Wang; Jianliang Pan (ICWS, 2019)

Outcome-Oriented Predictive Process Monitoring with Attention-Based Bidirectional LSTM Neural Networks. - Jiaojiao Wang; Dongjin Yu; Chengfei Liu; Xiaoxiao Sun 001 (ICWS, 2019)

Analyzing performance-aware code changes in software development process. - Jie Chen 060; Dongjin Yu; Haiyang Hu; Zhongjin Li; Hua Hu 001 (ICPC, 2019)

Modeling User Contextual Behavior Semantics with Geographical Influence for Point-Of-Interest Recommendation. - Dongjin Yu; Kaihui Xu; Dongjing Wang (SEKE, 2019)

Hierarchical Topic Modeling of Twitter Data for Online Analytical Processing. - Dongjin Yu; Dengwei Xu; Dongjing Wang; Zhiyong Ni (IEEE Access, 2019)

Detecting Java Code Clones Based on Bytecode Sequence Alignment. - Dongjin Yu; Jiazha Yang; Xin Chen 032; Jie Chen 060 (IEEE Access, 2019)

A survey on security issues in services communication of Microservices-enabled fog applications. - Dongjin Yu; Yike Jin; Yuqun Zhang; Xi Zheng 001 (Concurr. Comput. Pract. Exp., 2019)

Exploring traffic condition based on massive taxi trajectories. - Dongjin Yu; Jiaojiao Wang; Ruiting Wang (Int. J. High Perform. Comput. Netw., 2019)

Point-of-Interest Recommendation Based on User Contextual Behavior Semantics. - Dongjin Yu; Kaihui Xu; Dongjing Wang; Ting Yu 002; Wanqing Li 003 (Int. J. Softw. Eng. Knowl. Eng., 2019)

Forecasting short-term traffic speed based on multiple attributes of adjacent roads. - Dongjin Yu; Chengfei Liu; Yiyu Wu; Sai Liao; Tarique Anwar; Wanqing Li 003; Chengbiao Zhou (Knowl. Based Syst., 2019)

Deep learning based multiple energy harvesting users cooperative task execution. - Binbin Huang; Dongjin Yu; Linxuan Pan; Zhongjin Li; Haiyang Hu; Victor Chang 001 (HPCC/DSS/SmartCity, 2020)

Remaining Time Prediction of Business Processes based on Multilayer Machine Learning. - Xiaoxiao Sun 001; Wenjie Hou; Yuke Ying; Dongjin Yu (ICWS, 2020)

Restaurant Failure Prediction Based on Multi-View Online Data. - Ping Liang; Dongjin Yu; Xiaoxiao Sun 001 (SEKE, 2020)

A Deep Spatio-temporal Residual Network Model for Commercial Activeness Prediction. - Ping Liang; Dongjin Yu; Xiaoxiao Sun 001 (SEKE, 2020)

Conditional Normalizing Flow-based Generative Model for Zero-Shot Recognition. - Xinwei Zhu; Haiping Zhang 001; Liming Guan; Dongjin Yu; Zhongjin Li (SEKE, 2020)

Defect Report Severity Prediction Based on Genetic Algorithms and Convolutional Neural Network. - Shiming Guo; Xin Chen 032; Dongjin Yu (TASE, 2020)

Influence ranking of road segments in urban road traffic networks. - Tarique Anwar; Chengfei Liu; Hai Le Vu; Md. Saiful Islam 003; Dongjin Yu; Nam H. Hoang (Computing, 2020)

A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks. - Samundra Deep; Xi Zheng 001; Chandan K. Karmakar; Dongjin Yu; Leonard G. C. Hamey; Jiong Jin (IEEE Commun. Surv. Tutorials, 2020)

An ensemble learning approach for software semantic clone detection. - Min Fu 001; Gang Luo; James Xi Zheng; Tianyi Zhang 001; Dongjin Yu; Miryung Kim (CoRR, 2020)

A systemic framework for crowdsourced test report quality assessment. - Xin Chen 032; He Jiang 001; Xiaochen Li; Liming Nie; Dongjin Yu; Tieke He; Zhenyu Chen 001 (Empir. Softw. Eng., 2020)

Citation Count Prediction Based on Neural Hawkes Model. - Lisha Liu; Dongjin Yu; Dongjing Wang; Fumiyo Fukumoto (IEICE Trans. Inf. Syst., 2020)

Prediction of Regional Commercial Activeness and Entity Condition Based on Online Reviews. - Dongjin Yu; Xinfeng Wang; Xiaoxiao Sun 001 (Int. J. Softw. Eng. Knowl. Eng., 2020)

Balanced scheduling of distributed workflow tasks based on clustering. - Dongjin Yu; Yuke Ying; Lei Zhang; Chengfei Liu; Xiaoxiao Sun 001; Hongsheng Zheng (Knowl. Based Syst., 2020)

Automatic Web service composition driven by keyword query. - Dongjin Yu; Lei Zhang; Chengfei Liu; Rui Zhou 001; Dengwei Xu (World Wide Web, 2020)

Time-aware sequence model for next-item recommendation. - Dongjing Wang; Dengwei Xu; Dongjin Yu; Guandong Xu (Appl. Intell., 2021)

Using BiLSTM with attention mechanism to automatically detect self-admitted technical debt. - Dongjin Yu; Lin Wang; Xin Chen 032; Jie Chen 060 (Frontiers Comput. Sci., 2021)

Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization Machine. - Dongjin Yu; Yi Shen; Kaihui Xu; Yihang Xu (ISPRS Int. J. Geo Inf., 2021)

TLSAN: Time-aware long- and short-term attention network for next-item recommendation. - Jianqing Zhang; Dongjing Wang; Dongjin Yu (Neurocomputing, 2021)

Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing. - Yong Li; Yipeng Zhou; Alireza Jolfaei; Dongjin Yu; Gaochao Xu; Xi Zheng 001 (IEEE Internet Things J., 2021)

Profit maximization for security-aware task offloading in edge-cloud environment. - Zhongjin Li; Victor Chang 001; Haiyang Hu; Dongjin Yu; Jidong Ge; Binbin Huang (J. Parallel Distributed Comput., 2021)

Leveraging contextual influence and user preferences for point-of-interest recommendation. - Dongjin Yu; Wenbo Wanyan; Dongjing Wang (Multim. Tools Appl., 2021)

Reinforcement Learning for Security-Aware Workflow Application Scheduling in Mobile Edge Computing. - Binbin Huang; Yuanyuan Xiang; Dongjin Yu; Jiaojiao Wang; Zhongjin Li; Shangguang Wang (Secur. Commun. Networks, 2021)

Spatiotemporal Trident Networks: Detection and Localization of Object Removal Tampering in Video Passive Forensics. - Quanxin Yang; Dongjin Yu; Zhuxi Zhang; Ye Yao; Linqiang Chen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Leveraging Energy Function Virtualization With Game Theory for Fault-Tolerant Smart Grid. - Kuan Wang; Jun Wu 001; Xi Zheng 001; Alireza Jolfaei; Jianhua Li 001; Dongjin Yu (IEEE Trans. Ind. Informatics, 2021)

CAME: Content- and Context-Aware Music Embedding for Recommendation. - Dongjing Wang; Xin Zhang 079; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Neural Networks Learn. Syst., 2021)

RICA-MD: A Refined ICA Algorithm for Motion Detection. - Chao Zhang 047; Xiaopei Wu; Jianchao Lu; Xi Zheng 001; Alireza Jolfaei; Quan Z. Sheng; Dongjin Yu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Attentive sequential model based on graph neural network for next poi recommendation. - Dongjing Wang; Xingliang Wang; Zhengzhe Xiang; Dongjin Yu; Shuiguang Deng; Guandong Xu (World Wide Web, 2021)

Detecting and Refactoring Feature Envy Based on Graph Neural Network. - Dongjin Yu; Yihang Xu; Lehui Weng; Jie Chen 060; Xin Chen 032; Quanxin Yang (ISSRE, 2022)

Characterizing and Triaging Change Points. - Jie Chen 060; Haiyang Hu; Dongjin Yu (ICPE (Companion), 2022)

Graph-Based Attentive Sequential Model With Metadata for Music Recommendation. - He Weng; Jianjiang Chen; Dongjing Wang; Xin Zhang 079; Dongjin Yu (IEEE Access, 2022)

A decomposition-based many-objective evolutionary algorithm with adaptive weight vector strategy. - Xin Chen; Jiacheng Yin; Dongjin Yu; Xulin Fan (Appl. Soft Comput., 2022)

A survey of security and privacy issues in the Internet of Things from the layered context. - Samundra Deep; Xi Zheng 001; Alireza Jolfaei; Dongjin Yu; Pouya Ostovari; Ali Kashif Bashir (Trans. Emerg. Telecommun. Technol., 2022)

Conformance-oriented Predictive Process Monitoring in BPaaS Based on Combination of Neural Networks. - Jiaojiao Wang; Victor Chang 001; Dongjin Yu; Chang Liu; Xiaoyu Ma; Dingguo Yu (J. Grid Comput., 2022)

Characterizing and Detecting Methods to be Benchmarked under Performance Unit Test. - Jie Chen 060; Haiyang Hu; Dongjin Yu (Int. J. Softw. Eng. Knowl. Eng., 2022)

Reinforcement learning for cost-effective IoT service caching at the edge. - Binbin Huang; Xiao Liu 004; Yuanyuan Xiang; Dongjin Yu; Shuiguang Deng; Shangguang Wang (J. Parallel Distributed Comput., 2022)

Special issue on Intelligent software services for IoT and edge computing. - Jian Yu 002; Sira Yongchareon; Seyed Ali Ghorashi; Dongjin Yu (J. Reliab. Intell. Environ., 2022)

DSIM: dynamic and static interest mining for sequential recommendation. - Dongjin Yu; Jianjiang Chen; Dongjing Wang; Yueshen Xu; Zhengzhe Xiang; Shuiguang Deng (Knowl. Inf. Syst., 2022)

Spatio-temporal convolutional residual network for regional commercial vitality prediction. - Dongjin Yu; Xinfeng Wang; Ping Liang; Xiaoxiao Sun 001 (Multim. Tools Appl., 2022)

Personalized recommendation of collective points-of-interest with preference and context awareness. - Dongjin Yu; Ting Yu 002; Yiyu Wu; Chengfei Liu (Pattern Recognit. Lett., 2022)

Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention. - Dongjing Wang; Xin Zhang 079; Zhengzhe Xiang; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Cybern., 2022)

Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey. - Mahdi Dibaei; Xi Zheng 001; Youhua Xia; Xiwei Xu 001; Alireza Jolfaei; Ali Kashif Bashir; Usman Tariq; Dongjin Yu; Athanasios V. Vasilakos (IEEE Trans. Intell. Transp. Syst., 2022)

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. - Dongjing Wang; Xin Zhang 079; Yao Wan 001; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Multim., 2022)

Multiclass Classification for Self-Admitted Technical Debt Based on XGBoost. - Xin Chen 032; Dongjin Yu; Xulin Fan; Lin Wang; Jie Chen 060 (IEEE Trans. Reliab., 2022)

NGPR: A comprehensive personalized point-of-interest recommendation method based on heterogeneous graphs. - Dongjin Yu; Ting Yu 002; Dongjing Wang; Yi Shen (Multim. Tools Appl., 2022)

Identifying Self-admitted Technical Debt with Context-Based Ladder Network. - Aiyue Gong; Fumiyo Fukumoto; Panitan Muangkammuen; Jiyi Li; Dongjin Yu (ICONIP (15), 2023)

EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation. - Xinfeng Wang; Fumiyo Fukumoto; Jin Cui; Yoshimi Suzuki; Jiyi Li; Dongjin Yu (SIGIR, 2023)

Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition. - Haiping Zhang 001; Xinhao Zhang; Dongjin Yu; Liming Guan; Dongjing Wang; Fuxing Zhou; Wanjun Zhang (Sensors, 2023)

Joint Content Caching and Recommendation in Opportunistic Mobile Networks Through Deep Reinforcement Learning and Broad Learning. - Dongjin Yu; Tong Wu 014; Chengfei Liu; Dongjing Wang (IEEE Trans. Serv. Comput., 2023)

STaTRL: Spatial-temporal and text representation learning for POI recommendation. - Xinfeng Wang; Fumiyo Fukumoto; Jiyi Li; Dongjin Yu; Xiaoxiao Sun 001 (Appl. Intell., 2023)

MTSCANet: Multi temporal resolution temporal semantic context aggregation network. - Haiping Zhang 001; Conghao Ma; Dongjin Yu; Liming Guan; Dongjing Wang; Zepeng Hu; Xu Liu (IET Comput. Vis., 2023)

Graph-based code semantics learning for efficient semantic code clone detection. - Dongjin Yu; Quanxin Yang; Xin Chen 032; Jie Chen 060; Yihang Xu (Inf. Softw. Technol., 2023)

Pattern-based circular reference detection in Python. - Jie Chen 060; Tao Jiang; Dongjin Yu; Haiyang Hu (Sci. Comput. Program., 2023)

Web service recommendation for mashup creation based on graph network. - Ting Yu 002; Dongjin Yu; Dongjing Wang; Xueyou Hu (J. Supercomput., 2023)

Skeleton-based action recognition with multi-stream, multi-scale dilated spatial-temporal graph convolution network. - Haiping Zhang 001; Xu Liu; Dongjin Yu; Liming Guan; Dongjing Wang; Conghao Ma; Zepeng Hu (Appl. Intell., 2023)

Context-and category-aware double self-attention model for next POI recommendation. - Dongjing Wang; Feng Wan; Dongjin Yu; Yi Shen; Zhengzhe Xiang; Yueshen Xu (Appl. Intell., 2023)

VulGraB: Graph-embedding-based code vulnerability detection with bi-directional gated graph neural network. - Sixuan Wang; Chen Huang; Dongjin Yu; Xin Chen (Softw. Pract. Exp., 2023)

Predicting Android malware combining permissions and API call sequences. - Xin Chen; Haihua Yu; Dongjin Yu; Jie Chen; Xiaoxiao Sun 001 (Softw. Qual. J., 2023)

Multidirectional short-term traffic volume prediction based on spatiotemporal networks. - Xiaoxiao Sun 001; Xinfeng Wang; Boyi Huang; Dongjin Yu (Appl. Intell., 2023)

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation. - Xingliang Wang; Dongjing Wang; Dongjin Yu; Runze Wu 001; Qimeng Yang; Shuiguang Deng; Guandong Xu (Neurocomputing, 2023)

Stateless Q-learning algorithm for service caching in resource constrained edge environment. - Binbin Huang; Ziqi Ran; Dongjin Yu; Yuanyuan Xiang; Xiaoying Shi; Zhongjin Li; Zhengqian Xu (J. Cloud Comput., 2023)

Towards an understanding of memory leak patterns: an empirical study in Python. - Jie Chen 060; Dongjin Yu; Haiyang Hu (Softw. Qual. J., 2023)

Identifying the severity of technical debt issues based on semantic and structural information. - Dongjin Yu; Sicheng Li 010; Xin Chen 032; Tian Sun (Softw. Qual. J., 2023)

Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation. - Qimeng Yang; Shijia Wang; Da Guo; Dongjin Yu; Qiang Xiao; Dongjing Wang; Chuanjiang Luo (ICDM, 2024)

Tag-Aware Recommendation Based on Attention Mechanism and Disentangled Graph Neural Network. - Haojiang Yao; Dongjin Yu; Dongjing Wang; Haiping Zhang 001; Shiyu Song; Jiaming Li (ICWE, 2024)

App Recommendation Model Based on Heterogeneous Graph Collaborative Filtering. - Qiuhan Zheng; Dongjin Yu; Dongjing Wang; Wangliang Yan; Yaolin Fu (IJCNN, 2024)

CaDRec: Contextualized and Debiased Recommender Model. - Xinfeng Wang; Fumiyo Fukumoto; Jin Cui; Yoshimi Suzuki; Jiyi Li; Dongjin Yu (SIGIR, 2024)

NFARec: A Negative Feedback-Aware Recommender Model. - Xinfeng Wang; Fumiyo Fukumoto; Jin Cui; Yoshimi Suzuki; Dongjin Yu (SIGIR, 2024)

Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction. - Dongjin Yu; Gangming Guo; Dongjing Wang; Haiping Zhang 001; Bao Li; Guandong Xu; Shuiguang Deng (Expert Syst. Appl., 2024)

Improving process discovery by filtering noises based on event dependency. - Dongjin Yu; Ke Ni; Zhongyang Li; Shengyi Zhang; Xiaoxiao Sun 001; Wenjie Hou; Yuke Ying (Intell. Data Anal., 2024)

Feature envy detection based on cross-graph local semantics matching. - Quanxin Yang; Dongjin Yu; Xin Chen; Yihang Xu; Wangliang Yan; Bin Hu (Inf. Softw. Technol., 2024)

Task allocation for maximum cooperation in complex structured business processes. - Jiaojiao Wang; Dongjin Yu; Chengfei Liu (Knowl. Based Syst., 2024)

What makes a real change in software performance? An empirical study on analyzing the factors that affect the triagement of performance change points. - Jie Chen 060; Ziyuan Zhang; Dongjin Yu; Haiyang Hu (Sci. Comput. Program., 2024)

Actionable code smell identification with fusion learning of metrics and semantics. - Dongjin Yu; Quanxin Yang; Xin Chen 032; Jie Chen 060; Sixuan Wang; Yihang Xu (Sci. Comput. Program., 2024)

Recommendation-Enabled Edge Caching and D2D Offloading via Incentive-Driven Deep Reinforcement Learning. - Tong Wu 014; Dongjin Yu; Chengfei Liu; Dongjing Wang; Binbin Huang (IEEE Trans. Serv. Comput., 2024)

Siamese learning based on graph differential equation for Next-POI recommendation. - Yuxuan Yang 005; Siyuan Zhou; He Weng; Dongjing Wang; Xin Zhang 079; Dongjin Yu; Shuiguang Deng (Appl. Soft Comput., 2024)

Iterative framework based on multi-task learning for service recommendation. - Ting Yu 002; Dongjin Yu; Dongjing Wang; Quanxin Yang; Xueyou Hu (J. Syst. Softw., 2024)

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation. - Dongjing Wang; Xin Zhang 079; Yuyu Yin; Dongjin Yu; Guandong Xu; Shuiguang Deng (ACM Trans. Inf. Syst., 2024)

MARAN: Supporting awareness of users' routines and preferences for next POI recommendation based on spatial aggregation. - Xiaoxiao Sun 001; Boyi Huang; Xinfeng Wang; Dongjin Yu (Expert Syst. Appl., 2024)

Long tail service recommendation based on cross-view and contrastive learning. - Dongjin Yu; Ting Yu 002; Dongjing Wang; Sixuan Wang (Expert Syst. Appl., 2024)

Design-time business process compliance assessment based on multi-granularity semantic information. - Xiaoxiao Sun 001; Siqing Yang; Chenying Zhao; Dongjin Yu (J. Supercomput., 2024)

Multipath Attention and Adaptive Gating Network for Video Action Recognition. - Haiping Zhang 001; Zepeng Hu; Dongjin Yu; Liming Guan; Xu Liu; Conghao Ma (Neural Process. Lett., 2024)

Expert system for automatic microservices identification using API similarity graph. - Xiaoxiao Sun 001; Salamat Boranbaev; Shicong Han; Huanqiang Wang; Dongjin Yu (Expert Syst. J. Knowl. Eng., 2024)

Next activity prediction of ongoing business processes based on deep learning. - Xiaoxiao Sun 001; Siqing Yang; Yuke Ying; Dongjin Yu (Expert Syst. J. Knowl. Eng., 2024)

Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling. - Pan Gu; Haiyang Hu; Dongjing Wang; Dongjin Yu; Guandong Xu (Neural Process. Lett., 2024)

Android Malware Family Clustering Based on Multiple Features. - Xin Chen 032; Dongjin Yu; Xinxin Cai; He Jiang 001; Haihua Yu (IEEE Trans. Reliab., 2024)

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games. - Dongjin Yu; Xingliang Wang; Yu Xiong; Xudong Shen; Runze Wu 001; Dongjing Wang; Zhene Zou; Guandong Xu (ACM Trans. Intell. Syst. Technol., 2024)

LGAFormer: transformer with local and global attention for action detection. - Haiping Zhang 001; Fuxing Zhou; Dongjing Wang; Xinhao Zhang; Dongjin Yu; Liming Guan (J. Supercomput., 2024)

ASDMG: business topic clustering-based architecture smell detection for microservice granularity. - Sixuan Wang; Baoqing Jin; Dongjin Yu; Shuhan Cheng (Softw. Qual. J., 2024)

Category-aware self-supervised graph neural network for session-based recommendation. - Dongjing Wang; Ruijie Du; Qimeng Yang; Dongjin Yu; Feng Wan; Xiaojun Gong; Guandong Xu; Shuiguang Deng (World Wide Web (WWW), 2024)

HetFL: Heterogeneous Graph-Based Software Fault Localization. - Xin Chen 032; Tian Sun; Dongling Zhuang; Dongjin Yu; He Jiang 001; Zhide Zhou; Sicheng Li 010 (IEEE Trans. Software Eng., 2024)

Multi-objective test case prioritization based on an improved MOEA/D algorithm. - Xin Chen; Dengfa Luo; Dongjin Yu; Zhaohao Fang (Expert Syst. Appl., 2025)

Enhancing structural knowledge in code smell identification: A fusion learning framework combining AST-based metrics with semantic embeddings. - Quanxin Yang; Dongjin Yu; Sixuan Wang; Yihang Xu; Xin Chen 032; Jie Chen 060; Bin Hu 034 (Expert Syst. Appl., 2025)

Generative API Recommendation Based on Global Semantics and Local Context. - Shuoming Li; Dongjin Yu; Xin Chen 032; Xulin Fan; Dengfa Luo; Tong Wu 014; Wangliang Yan (Int. J. Softw. Eng. Knowl. Eng., 2025)

FVulPri: Fine-grained vulnerability prioritization based on BERT-BGRU and multiple indicators. - Sixuan Wang; Dongjin Yu; Xiongjie Liang; Chen Huang (Inf. Softw. Technol., 2025)

TeProM: A rule-free method for extracting process from complex text with enhanced coreference handling. - Xiaoxiao Sun; Chenying Zhao; Dongjin Yu; Yi Xu; Nana Xiao (Inf. Sci., 2025)

Graph Intention Embedding Neural Network for tag-aware recommendation. - Dongjing Wang; Haojiang Yao; Dongjin Yu; Shiyu Song; He Weng; Guandong Xu; Shuiguang Deng (Neural Networks, 2025)

An empirical study of code clones: Density, entropy, and patterns. - Bin Hu 034; Dongjin Yu; Yijian Wu; Tianyi Hu; Yuanfang Cai (Sci. Comput. Program., 2025)

ASRMG: Business Topic Clustering-Based Architecture Smell Refactoring for Microservices Granularity. - Sixuan Wang; Dongjin Yu; Baoqing Jin; Wangliang Yan; Qi Han (Softw. Pract. Exp., 2025)

Dynamic Spatial-Temporal Graph Convolution Network for E-Bike Traffic Flow Forecasting. - Dongjin Yu; Gangming Guo; Dongjing Wang; Tianpei OuYang; Feng Wan; Jitao Liu; Guandong Xu; Shuiguang Deng (IEEE Trans. Veh. Technol., 2025)

Efficient feature envy detection and refactoring based on graph neural network. - Dongjin Yu; Yihang Xu; Lehui Weng; Jie Chen 060; Xin Chen 032; Quanxin Yang (Autom. Softw. Eng., 2025)

A Lightweight Spatio-Temporal Neural Network With Sampling-Based Time Series Decomposition for Traffic Forecasting. - Dongjing Wang; Gangming Guo; Tianpei OuYang; Dongjin Yu; Haiping Zhang 001; Bao Li; Rong Jiang; Guandong Xu; Shuiguang Deng (IEEE Trans. Intell. Transp. Syst., 2025)

IACFormer: a transformer framework with instantaneous average convolution for temporal action detection. - Haiping Zhang 001; Dongyang Xu; Haixiang Lin; Dongjing Wang; Dongjin Yu; Liming Guan; Wanjun Zhang (Appl. Intell., 2025)