| 2026 | KSEM | Text-Attributed Graph Augmented Large Language Models for Question Answering. | Zhongkun Zhu, Junwei Zhang, Dongjin Yu, Xiaolin Li |
| 2025 | CIKM | TCFMamba: Trajectory Collaborative Filtering Mamba for Debiased Point-of-Interest Recommendation. | Jin Qian, Shiyu Song, Xin Zhang, Dongjing Wang, He Weng, Haiping Zhang, Dongjin Yu |
| 2025 | IJCNN | Convolutional Self-Attention Network with Disentangled Intents for Course Sequence Recommendation. | Kai Yu, Dongjin Yu, Dongjing Wang |
| 2025 | IJCNN | From Code Changes to Performance Variations: A Predictive Approach for Microbenchmark Prioritization. | Long Zhang, Jie Chen, Dongjin Yu, Yingling Li, Hengyu Chen |
| 2025 | IJCNN | A Multi-Task Learning Framework for Multi-View Predictive Business Process Monitoring. | Chenying Zhao, Xiaoxiao Sun, Dongjin Yu, Shicong Han, Yi Xu |
| 2025 | KDD | Multi-scale Physics-informed Transformer With Spatio-temporal Feature Adapter For Extreme Precipitation Nowcasting. | Jingyuan Zheng, Xin Zhang, Zhilin Qi, Ruiang Qiu, Dongjing Wang, Haiping Zhang, Dongjin Yu |
| 2025 | QRS | Hybrid Deep Learning Models for Dynamic Warm-Up Iteration Optimization in Performance Testing. | Long Zhang, Jie Chen, Shijie Li, Jun Hu, Dongjin Yu |
| 2024 | ICDM | Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation. | Qimeng Yang, Shijia Wang, Da Guo, Dongjin Yu, Qiang Xiao, Dongjing Wang, Chuanjiang Luo |
| 2024 | IJCNN | App Recommendation Model Based on Heterogeneous Graph Collaborative Filtering. | Qiuhan Zheng, Dongjin Yu, Dongjing Wang, Wangliang Yan, Yaolin Fu |
| 2024 | ICWE | Tag-Aware Recommendation Based on Attention Mechanism and Disentangled Graph Neural Network. | Haojiang Yao, Dongjin Yu, Dongjing Wang, Haiping Zhang, Shiyu Song, Jiaming Li |
| 2024 | SIGIR | CaDRec: Contextualized and Debiased Recommender Model. | Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu |
| 2024 | SIGIR | NFARec: A Negative Feedback-Aware Recommender Model. | Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu |
| 2023 | ICONIP | Identifying Self-admitted Technical Debt with Context-Based Ladder Network. | Aiyue Gong, Fumiyo Fukumoto, Panitan Muangkammuen, Jiyi Li, Dongjin Yu |
| 2023 | SIGIR | 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 |
| 2022 | ISSRE | Detecting and Refactoring Feature Envy Based on Graph Neural Network. | Dongjin Yu, Yihang Xu, Lehui Weng, Jie Chen, Xin Chen, Quanxin Yang |
| 2020 | HPCC | Deep learning based multiple energy harvesting users cooperative task execution. | Binbin Huang, Dongjin Yu, Linxuan Pan, Zhongjin Li, Haiyang Hu, Victor Chang |
| 2020 | ICWS | Remaining Time Prediction of Business Processes based on Multilayer Machine Learning. | Xiaoxiao Sun, Wenjie Hou, Yuke Ying, Dongjin Yu |
| 2020 | SEKE | Restaurant Failure Prediction Based on Multi-View Online Data. | Ping Liang, Dongjin Yu, Xiaoxiao Sun |
| 2020 | SEKE | A Deep Spatio-temporal Residual Network Model for Commercial Activeness Prediction. | Ping Liang, Dongjin Yu, Xiaoxiao Sun |
| 2020 | SEKE | Conditional Normalizing Flow-based Generative Model for Zero-Shot Recognition. | Xinwei Zhu, Haiping Zhang, Liming Guan, Dongjin Yu, Zhongjin Li |
| 2020 | TASE | Defect Report Severity Prediction Based on Genetic Algorithms and Convolutional Neural Network. | Shiming Guo, Xin Chen, Dongjin Yu |
| 2019 | DASFAA | Collective POI Querying Based on Multiple Keywords and User Preference. | Dongjin Yu, Yiyu Wu, Chengfei Liu, Xiaoxiao Sun |
| 2019 | ICWS | Filtering Out Noise Logs for Process Modelling Based on Event Dependency. | Xiaoxiao Sun, Wenjie Hou, Dongjin Yu, Jiaojiao Wang, Jianliang Pan |
| 2019 | ICWS | Outcome-Oriented Predictive Process Monitoring with Attention-Based Bidirectional LSTM Neural Networks. | Jiaojiao Wang, Dongjin Yu, Chengfei Liu, Xiaoxiao Sun |
| 2019 | SEKE | Modeling User Contextual Behavior Semantics with Geographical Influence for Point-Of-Interest Recommendation. | Dongjin Yu, Kaihui Xu, Dongjing Wang |
| 2018 | ICSOC | Real-Time Estimation of Road Traffic Speeds from Cell-Based Vehicle Trajectories. | Xiaoxiao Sun, Dongjin Yu, Sai Liao, Wanqing Li, Chengbiao Zhou |
| 2017 | APSEC | A Degree-Driven Approach to Design Pattern Mining Based on Graph Matching. | Ping Zhang, Dongjin Yu, Jiaojiao Wang |
| 2017 | COMPSAC | Detecting Java Code Clones with Multi-granularities Based on Bytecode. | Dongjin Yu, Jie Wang, Qing Wu, Jiazha Yang, Jiaojiao Wang, Wei Yang, Wei Yan |
| 2017 | SEKE | Discovering Hidden Interests from Twitter for Multidimensional Analysis. | Dongjin Yu, Jingchao Sun, Yiyu Wu, Zhiyong Ni, Youhuizi Li |
| 2015 | APSEC | From Goal Models to Feature Models: A Rule-Based Approach for Software Product Lines. | Dongjin Yu, Zhenli Chen, Yifei Zhang |
| 2013 | COMPSAC | 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 |
| 2013 | ICSOC | A Combination Approach to QoS Prediction of Web Services. | Dongjin Yu, Mengmeng Wu, Yuyu Yin |
| 2013 | ICSR | Mining Instances of Structural Design Patterns from Class Diagrams Based on Sub-patterns. | Dongjin Yu, Zhiqing Liu, Jianlin Ge |
| 2012 | APSEC | Constructing Traceability between Features and Requirements for Software Product Line Engineering. | Dongjin Yu, Peng Geng, Wei Wu |
| 2012 | ICA3PP | BIDE-Based Parallel Mining of Frequent Closed Sequences with MapReduce. | Dongjin Yu, Wei Wu, Suhang Zheng, Zhixiang Zhu |
| 2008 | IROS | An object recognition system based on color co-occurrence histogram and geometric relations of pyramidal image patches. | Heebeom Bang, Dongjin Yu, Sanghoon Lee, Il Hong Suh |
| 2006 | ICCS | Security and Performance in Network Component Architecture. | Dongjin Yu, Ying Li, Yi Zhou, Zhaohui Wu |