Efficient Nodes Representation Learning with Residual Feature Propagation. - Fan Wu; Duantengchuan Li; Ke Lin 001; Huawei Zhang (PAKDD (2), 2021)

CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms. - Duantengchuan Li; Hai Liu 004; Zhaoli Zhang; Ke Lin 001; Shuai Fang; Zhifei Li; Neal N. Xiong (Neurocomputing, 2021)

Multi-information fusion based few-shot Web service classification. - Yongqiang Liu; Bing Li 010; Jian Wang 018; Duantengchuan Li; Yutao Ma (Future Gener. Comput. Syst., 2022)

Multi-perspective social recommendation method with graph representation learning. - Hai Liu 004; Chao Zheng; Duantengchuan Li; Zhaoli Zhang; Ke Lin 001; Xiaoxuan Shen; Neal N. Xiong; Jiazhang Wang (Neurocomputing, 2022)

Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing. - Yuqi Zhao; Bing Li 010; Jian Wang 018; Delun Jiang; Duantengchuan Li (Knowl. Based Syst., 2022)

EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System. - Hai Liu 004; Chao Zheng; Duantengchuan Li; Xiaoxuan Shen; Ke Lin 001; Jiazhang Wang; Zhen Zhang; Zhaoli Zhang; Neal N. Xiong (IEEE Trans. Ind. Informatics, 2022)

MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation. - Hai Liu 004; Shuai Fang; Zhaoli Zhang; Duantengchuan Li; Ke Lin 001; Jiazhang Wang (IEEE Trans. Multim., 2022)

A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling. - Yuqi Zhao; Delun Jiang; Bing Li 010; Lei Fu; Jian Wang 018; Duantengchuan Li (ICWS, 2023)

Knowledge graph representation learning with simplifying hierarchical feature propagation. - Zhifei Li; Qi Zhang; Fangfang Zhu; Duantengchuan Li; Chao Zheng; Yan Zhang (Inf. Process. Manag., 2023)

Knowledge graph embedding model with attention-based high-low level features interaction convolutional network. - Jingxiong Wang; Qi Zhang; Fobo Shi; Duantengchuan Li; Yuefeng Cai; Jian Wang 018; Bing Li 010; Xiaoguang Wang; Zhen Zhang; Chao Zheng (Inf. Process. Manag., 2023)

BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction. - Jiangyuan Zhu; Bing Li 010; Jian Wang 018; Duantengchuan Li; Yongqiang Liu; Zhen Zhang (Knowl. Based Syst., 2023)

GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks. - Shutong Wang; Anran Zhao; Chenghang Lai; Qi Zhang; Duantengchuan Li; Yihua Gao; Liangshan Dong; Xiaoguang Wang (J. King Saud Univ. Comput. Inf. Sci., 2023)

Reinforcement Learning-Based Streaming Process Discovery Under Concept Drift. - Rujian Cai; Chao Zheng; Jian Wang 018; Duantengchuan Li; Chong Wang 004; Bing Li 010 (CAiSE, 2024)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models. - Fobo Shi; Peijun Qing; Dong Yang; Nan Wang; Youbo Lei; Haonan Lu; Xiaodong Lin 004; Duantengchuan Li (NAACL-HLT (Findings), 2024)

Homogeneous graph neural networks for third-party library recommendation. - Duantengchuan Li; Yuxuan Gao; Zhihao Wang 002; Hua Qiu; Pan Liu; Zhuoran Xiong; Zilong Zhang (Inf. Process. Manag., 2024)

Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs. - Yu Liu 038; Duantengchuan Li; Kaili Wang; Zhuoran Xiong; Fobo Shi; Jian Wang 018; Bing Li 010; Bo Hang (Inf. Process. Manag., 2024)

Multi-perspective knowledge graph completion with global and interaction features. - Duantengchuan Li; Fobo Shi; Xiaoguang Wang; Chao Zheng; Yuefeng Cai; Bing Li (Inf. Sci., 2024)

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation. - Ke Lin 001; Yanjie Li; Qi Liu 027; Duantengchuan Li; Xiongtao Shi; Shiyu Chen (Inf. Sci., 2024)

SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding. - Duantengchuan Li; Tao Xia; Jing Wang; Fobo Shi; Qi Zhang; Bing Li 010; Yu Xiong (Knowl. Based Syst., 2024)

PBScaler: A Bottleneck-Aware Autoscaling Framework for Microservice-Based Applications. - Shuaiyu Xie; Jian Wang 018; Bing Li 010; Zekun Zhang; Duantengchuan Li; Patrick C. K. Hung (IEEE Trans. Serv. Comput., 2024)

DADL: Double Asymmetric Distribution Learning for head pose estimation in wisdom museum. - Wanli Zhao 003; Shutong Wang; Xiaoguang Wang; Duantengchuan Li; Jing Wang; Chenghang Lai; Xiaoxue Li (J. King Saud Univ. Comput. Inf. Sci., 2024)

Motion Planner With Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios. - Ke Lin 001; Yanjie Li; Shiyu Chen; Duantengchuan Li; Xinyu Wu 001 (IEEE Trans. Intell. Veh., 2024)

Attention-Based Deep Reinforcement Learning for Edge User Allocation. - Jiaxin Chang; Jian Wang 018; Bing Li 010; Yuqi Zhao; Duantengchuan Li (IEEE Trans. Netw. Serv. Manag., 2024)

Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system. - Duantengchuan Li; Ceyu Deng; Xiaoguang Wang; Zhifei Li; Chao Zheng; Jing Wang; Bing Li (Inf. Process. Manag., 2024)

MDLR: A Multi-Task Disentangled Learning Representations for unsupervised time series domain adaptation. - Yu Liu 038; Duantengchuan Li; Jian Wang 018; Bing Li 010; Bo Hang (Inf. Process. Manag., 2024)

Integrating user short-term intentions and long-term preferences in heterogeneous hypergraph networks for sequential recommendation. - Bingqian Liu; Duantengchuan Li; Jian Wang; Zhihao Wang 002; Bing Li; Cheng Zeng (Inf. Process. Manag., 2024)

FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario. - Ke Lin 001; Duantengchuan Li; Yanjie Li; Shiyu Chen; Xindong Wu 001 (IEEE Trans. Ind. Informatics, 2024)

TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning. - Ke Lin 001; Duantengchuan Li; Yanjie Li; Shiyu Chen; Qi Liu 027; Jianqi Gao; Yanrui Jin; Liang Gong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Federated Recommendation with Explicitly Encoding Item Bias. - Zhihao Wang 002; He Bai 014; Wenke Huang; Duantengchuan Li; Jian Wang; Bing Li (AAAI, 2025)

Recommender system based on noise enhancement and multi-view graph contrastive learning. - Duantengchuan Li; Jiayao Lu; Zhihao Wang 002; Jingxiong Wang; Xiaoguang Wang; Fobo Shi; Yu Liu (Appl. Soft Comput., 2025)

DAPlanner: Dual-agent framework with multi-modal large language model for autonomous driving motion planning. - Pin Zhang; Ke Lin 001; Duantengchuan Li; Zixun Fu; Yuefeng Cai; Bing Li; Huan Yu; Ming Li (Appl. Soft Comput., 2025)

EANet: Integrate Edge Features and Attention Mechanisms Multi-Scale Networks for Vessel Segmentation in Retinal Images. - Jiangyi Zhang; Yuxin Tan; Duantengchuan Li; Guanghui Xu; Fuling Zhou (IET Image Process., 2025)

MSCA: a multi-scale context-aware recommender system leveraging reviews and user interactions. - Zhangyu Jin; Jian Wang; Duantengchuan Li; Maodong Li (Int. J. Web Inf. Syst., 2025)

ADGaze: Anisotropic Gaussian Label Distribution Learning for fine-grained gaze estimation. - Duantengchuan Li; Shutong Wang; Wanli Zhao 003; Lingyun Kang; Liangshan Dong; Jiazhang Wang; Xiaoguang Wang (Pattern Recognit., 2025)

TGformer: A Graph Transformer Framework for Knowledge Graph Embedding. - Fobo Shi; Duantengchuan Li; Xiaoguang Wang; Bing Li; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

DDASR: Deep Diverse API Sequence Recommendation. - Siyu Nan; Jian Wang 018; Neng Zhang 001; Duantengchuan Li; Bing Li 010 (ACM Trans. Softw. Eng. Methodol., 2025)