A High-Precise Arrhythmia Detection Method Based on Biorthogonal Wavelet and Fully Connected Neural Network. - Haoren Wang; Haotian Shi; Ke Lin 001; Liqun Zhao; Chengliang Liu 001 (BigDataService, 2019)

A high-precision arrhythmia classification method based on dual fully connected neural network. - Haoren Wang; Haotian Shi; Ke Lin 001; Chengjin Qin; Liqun Zhao; Yixiang Huang; Chengliang Liu 001 (Biomed. Signal Process. Control., 2020)

Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control. - Ke Lin 001; Liang Gong; Xudong Li 002; Te Sun; Binhao Chen; Chengliang Liu 001; Zhengfeng Zhang; Jian Pu; Junping Zhang (CoRR, 2020)

A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection. - Yanrui Jin; Chengjin Qin; Jinlei Liu 001; Ke Lin 001; Haotian Shi; Yixiang Huang; Chengliang Liu 001 (Knowl. Based Syst., 2020)

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

Precise and efficient heartbeat classification using a novel lightweight-modified method. - Yunqing Liu; Yanrui Jin; Jinlei Liu 001; Chengjin Qin; Ke Lin 001; Haotian Shi; Jianfeng Tao; Liqun Zhao; Chengliang Liu 001 (Biomed. Signal Process. Control., 2021)

Pixel level segmentation of early-stage in-bag rice root for its architecture analysis. - Liang Gong; Xiaofeng Du; Kai Zhu; Chenghui Lin; Ke Lin 001; Tao Wang; Qiaojun Lou; Zheng Yuan; Guoqiang Huang; Chengliang Liu 001 (Comput. Electron. Agric., 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)

A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples. - Yanrui Jin; Chengjin Qin; Jinlei Liu 001; Zhiyuan Li 013; Haotian Shi; Ke Lin 001; Yunqing Liu; Chengliang Liu 001 (IEEE Trans. Instrum. Meas., 2021)

Battery Management for Warehouse Robots via Average-Reward Reinforcement Learning. - Yongjin Mu; Yanjie Li; Ke Lin 001; Ki Deng; Qi Liu 027 (ROBIO, 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)

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)

Learning Real-Time Dynamic Responsive Gap-Traversing Policy for Quadrotors With Safety-Aware Exploration. - Shiyu Chen; Yanjie Li; Yunjiang Lou; Ke Lin 001; Xinyu Wu 001 (IEEE Trans. Intell. Veh., 2023)

A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network. - Xiongtao Shi; Yanjie Li; Qi Liu 027; Ke Lin 001; Shiyu Chen (Inf. Sci., 2023)

Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation. - Qi Liu 027; Yanjie Li; Shiyu Chen; Ke Lin 001; Xiongtao Shi; Yunjiang Lou (Inf. Sci., 2023)

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)

A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical. - Jianqi Gao; Yanjie Li; Xinyi Li; Kejian Yan; Ke Lin 001; Xinyu Wu 001 (Knowl. Based Syst., 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)

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)

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning. - Qi Liu 027; Yanjie Li; Yuecheng Liu; Ke Lin 001; Jianqi Gao; Yunjiang Lou (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Learning Agile Quadrotor Flight in Restricted Environments With Safety Guarantees. - Shiyu Chen; Yanjie Li; Yunjiang Lou; Ke Lin 001; Xinyu Wu 001 (IEEE Trans. Intell. Veh., 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)

Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation. - Zheng Zhang; Qi Liu 027; Yanjie Li; Ke Lin 001; Linyu Li 013 (IEEE Trans. Intell. Transp. Syst., 2024)

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)

Aggressive and robust low-level control and trajectory tracking for quadrotors with deep reinforcement learning. - Shiyu Chen; Yanjie Li; Yunjiang Lou; Ke Lin 001 (Neural Comput. Appl., 2025)

Distributional Policy Gradient With Distributional Value Function. - Qi Liu 027; Yanjie Li; Xiongtao Shi; Ke Lin 001; Yuecheng Liu; Yunjiang Lou (IEEE Trans. Neural Networks Learn. Syst., 2025)