📝 Publications

Joint first authors are indicated using #, and corresponding authors using *.

📚 Large Language Model

• Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs. Y. Liu, D. Li*, et al. Information Processing & Management, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models. F. Shi, P. Qing, D. Yang, N. Wang, Y. Lei, H. Lu, X. Lin, D. Li. NAACL Findings 2024. (CCF B) [Bib], [PDF]

🤖 Recommender System

• Recommender system based on noise enhancement and multi-view graph contrastive learning. D Li, J. Lu, et al. Applied Soft Computing, 2025. [Bib], [PDF]

• MSCA: a multi-scale context-aware recommender system leveraging reviews and user interactions. Z. Jin, J. Wang, D Li, M. Li, B. Li. International Journal of Web Information Systems, 2025. [Bib], [PDF]

• Federated Recommendation with Explicitly Encoding Item Bias. Z. Wang, H. Bai, W. Huang, D Li, J. Wang, B. Li. Proceedings of the AAAI Conference on Artificial Intelligence, 2025. (CCF A) [Bib], [PDF]

• DDASR: Deep Diverse API Sequence Recommendation. S. Nan, J. Wang, N. Zhang, D Li, et al. ACM Transactions on Software Engineering and Methodology, 2025. (CCF A) [Bib], [PDF]

• MDGRec: 基于多元关系融合的移动应用第三方库推荐方法. Y. Chen, J. Wang, D. Li, et al. 计算机科学, 2025. (CCF推荐中文科技期刊，北大中文核心) [Bib], [PDF]

• 融合词间句间多关系建模的评论推荐算法. C. Deng, D. Li*, et al. 计算机科学, 2025. (CCF推荐中文科技期刊，北大中文核心) [Bib], [PDF]

• Homogeneous graph neural networks for third-party library recommendation. D. Li, et al. Information Processing & Management, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system. D. Li, et al. Information Processing & Management, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• Integrating user short-term intentions and long-term preferences in heterogeneous hypergraph networks for sequential recommendation. B. Liu^#, D. Li^#, et al. Information Processing & Management, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction. J. Zhu, B. Li, J. Wang, D. Li, et al. Knowledge-Based Systems, 2023. (SCI 1区Top, CCF C) [Bib] , [PDF]

• EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System. H. Liu, C. Zheng, D. Li*, et al. IEEE Transactions on Industrial Informatics, 2022. (SCI 1区Top, CCF C) [Bib], [PDF]

• Multi-perspective social recommendation method with graph representation learning. H. Liu, C. Zheng, D. Li, et al. Neurocomputing, 2022. (SCI 2区Top, CCF C) [Bib], [PDF]

• EAMR: An Emotion-aware Music Recommender Method via Mel Spectrogram and Arousal-Valence Model. Z. Fu, Z. Zhang, J. Zheng, K. Lin and D. Li. 2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2022. [Bib], [PDF]

• CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms. D. Li, et al. Neurocomputing, 2021. (SCI 2区Top) [Bib], [PDF]

🌐 Knowledge Graph

• TGformer: A Graph Transformer Framework for Knowledge Graph Embedding. F. Shi, D Li*, et al. IEEE Transactions on Knowledge and Data Engineering, 2025. (SCI 2区, CCF A) [Bib], [PDF]

• Multi-perspective knowledge graph completion with global and interaction features. D. Li, et al. Information Sciences, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding. D. Li, et al. Knowledge-Based Systems, 2024. (SCI 1区Top, CCF C) [Bib], [PDF]

• Knowledge graph representation learning with simplifying hierarchical feature propagation. Z. Li, Q. Zhang, F. Zhu, D. Li*, et al. Information Processing & Management, 2023. (SCI 1区Top, CCF B) [Bib], [PDF]

• Knowledge graph embedding model with attention-based high-low level features interaction convolutional network. J. Wang, Q. Zhang, F. Shi, D. Li*, et al. Information Processing & Management, 2023. (SCI 1区Top, CCF B) [Bib], [PDF]

📷 Computer Vision

• EANet: Integrate Edge Features and Attention Mechanisms Multi-Scale Networks for Vessel Segmentation in Retinal Images. J. Zhang, Y. Tan, D. Li*, et al. IET Image Processing, 2025. (SCI, CCF C) [Bib], [PDF]

• ADGaze: Anisotropic Gaussian Label Distribution Learning for fine-grained gaze estimation. D. Li, S. Wang, W. Zhao* et al. Pattern Recognition, 2025. (SCI 1区Top, CCF B) [Bib], [PDF]

• DADL: Double Asymmetric Distribution Learning for head pose estimation in wisdom museum. W. Zhao, S. Wang, X. Wang, D. Li*, et al. Journal of King Saud University-Computer and Information Sciences, 2024. (SCI 2区) [Bib], [PDF]

• GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks. S. Wang, A. Zhao, C. Lai, Q. Zhang, D. Li, et al. Journal of King Saud University-Computer and Information Sciences, 2023. (SCI 2区) [Bib], [PDF]

• MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation. H. Liu, S. Fang, Z. Zhang, D. Li*, et al. IEEE Transactions Multimedia, 2022. (SCI 1区Top, CCF B) [Bib], [PDF]

• Precise head pose estimation on HPD5A database for attention recognition based on convolutional neural network in human-computer interaction. H. Liu, D. Li*, et al. Infrared Physics & Technology, 2021. (SCI 2区) [Bib], [PDF]

🔍 Reinforcement Learning

• FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario. K. Lin, D Li, et al. IEEE Transactions on Industrial Informatics, 2024. (SCI 1区Top, CCF C) [Bib], [PDF]

• Motion Planner with Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios. K. Lin, Y. Li, S. Chen, D. Li and X. Wu. IEEE Transactions on Intelligent Vehicles, 2024. (SCI 1区) [Bib], [PDF]

• TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning. K. Lin, D. Li, et al. IEEE Transactions on Neural Networks and Learning Systems, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• Reinforcement Learning-based Streaming Process Discovery under Concept Drift. Cai, C. Zheng, J. Wang, D. Li, et al. 36th International Conference on Advanced Information Systems Engineering (CAiSE 2024) (CCF B) [Bib], [PDF]

• Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation K. Lin, Y. Li, Q. Liu, D. Li, et al. Information Sciences, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• Attention-Based Deep Reinforcement Learning for Edge User Allocation. J. Chang, J. Wang, B. Li, Y. Zhao and D. Li. IEEE Transactions on Network and Service Management, 2024. (SCI 2区) [Bib], [PDF]

• A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling. Y. Zhao, D. Jiang, B. Li, L. Fu, J. Wang and D. Li. ICWS, 2023. (CCF B) [Bib], [PDF]

• Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing. Y. Zhao, B. Li, J. Wang, D. Jiang, D. Li. Knowledge-Based Systems, 2022. (SCI 1区Top, CCF C) [Bib], [PDF]

📠 Others

• A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning. B. Liu, Y. Cai*, D. Li*, et al. Drones, 2024. (SCI 2区) [Bib], [PDF]

• PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications. S. Xie, J. Wang, B. Li, Z. Zhang, D. Li, et al. IEEE Transactions on Services Computing, 2024. (SCI 2区, CCF A) [Bib], [PDF]

• MDLR: A Multi-Task Disentangled Learning Representations for unsupervised time series domain adaptation. Y. Liu, D. Li*, et al. Information Processing & Management, 2024. (SCI 1区Top, CCF B) [Bib], [PDF]

• Multi-information fusion based few-shot Web service classification. Y. Liu, B. Li, J. Wang , D. Li , et al. Future Generation Computer Systems, 2022. (SCI 2区Top, CCF C) [Bib], [PDF]

• Efficient Nodes Representation Learning with Residual Feature Propagation. F. Wu, D. Li*, et al. PAKDD, 2021. (CCF C) [Bib], [PDF]