林科｜中国地质大学(武汉)｜学者主页

2026

Flexible Trajectory Planning for Autonomous Vehicles via Environmental Assessment in Extreme Scenarios

Xiang Li, Ke Lin, Xiao-Qing Yang, Ke-Jian Yan, Yan-Jie Li, Yunjiang Lou

IEEE International Conference on Robotics and Automation

DOI

2025

DAPlanner: Dual-agent framework with multi-modal large language model for autonomous driving motion planning

Pin Zhang, Ke Lin, Duantengchuan Li, Zi-Xun Fu, Yuefeng Cai, Bing Li, Huan Yu, Ming Li

Applied Soft Computing

DOI

2025

Two-Stage AL-iLQR-Based Trajectory Planning for Special-Shaped Curb Cleaning of Sweeper

Ke Lin, Yan-Jie Li

2025 IEEE 19th International Conference on Control & Automation (ICCA)

DOI

2025

An Improved Stable Fine-Tuning framework for offline-to-online reinforcement learning

Kaidong Zhao, Yanjie Li, Ke Lin

Computers & electrical engineering

DOI

2025

Sample-efficient backtrack temporal difference deep reinforcement learning

Qi Liu, Pengbin Chen, Ke Lin, Kaidong Zhao, Jinliang Ding, Yanjie Li

Knowledge-Based Systems

DOI

2024

Distribution and migration of rare earth elements in sediment profile near a decommissioned uranium hydrometallurgical site in South China: Environmental implications

Mengqing Sun, Juan Liu, Ke Lin, Wenhuan Yuan, Xiaoliang Liang, Hanyu Wu, Ying Zhang, Qunwei Dai, Xiao Yang, Gang Song, Jin Wang

Journal Of Environmental Management，Vol. 366

DOI

2024

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation

Ke Lin, Yan-Jie Li, Qi Liu, Duantengchuan Li, Xiongtao Shi, Shiyu Chen

Information Sciences

DOI

2024

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning

Qi Liu, Yan-Jie Li, Yuecheng Liu, Ke Lin, Jianqi Gao, Yunjiang Lou

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Aggressive and robust low-level control and trajectory tracking for quadrotors with deep reinforcement learning

Shiyu Chen, Yan-Jie Li, Yunjiang Lou, Ke Lin

Neural computing & applications (Print)

DOI

2024

FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario

Ke Lin, Duantengchuan Li, Yan-Jie Li, Shiyu Chen, Xindong Wu

IEEE Transactions on Industrial Informatics

DOI

2024

A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning

Bei Liu, Yuefeng Cai, Duantengchuan Li, Ke Lin, Guanghui Xu

Drones

DOI

2024

Motion Planner With Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios

Ke Lin, Yanjie Li, Shiyu Chen, Duantengchuan Li, Xin Wu

IEEE Transactions on Intelligent Vehicles

DOI

2024

Learning Agile Quadrotor Flight in Restricted Environments With Safety Guarantees

Shiyu Chen, Yan-Jie Li, Yunjiang Lou, Ke Lin, Xinyu Wu

IEEE Transactions on Intelligent Vehicles

DOI

2024

Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation

Zheng Zhang, Qi Liu, Yan-Jie Li, Ke Lin, Linyu Li

IEEE transactions on intelligent transportation systems (Print)

DOI

2024

Distributional Policy Gradient With Distributional Value Function

Qi Liu, Yan-Jie Li, Xiongtao Shi, Ke Lin, Yuecheng Liu, Yunjiang Lou

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning

Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Qi Liu, Jianqi Gao, Yanrui Jin, Liangde Gong

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical

Jianqi Gao, Yanjie Li, Xinyi Li, Ke-Jian Yan, Ke Lin, Xinyu Wu

Knowledge-Based Systems

DOI

2023

Learning Real-Time Dynamic Responsive Gap-Traversing Policy for Quadrotors With Safety-Aware Exploration

Shiyu Chen, Yanjie Li, Y. Lou, Ke Lin, Xin Wu

IEEE Transactions on Intelligent Vehicles

DOI

2022

一种水环境重金属在线监测系统设计

任思贤，吴鸿姿，李丽珠，宋雪霏，李宇航，覃志松，林科

《中国科技信息》

2022

Battery Management for Warehouse Robots via Average-Reward Reinforcement Learning

Yong-Jin Mu, Yanjie Li, Ke Lin, Ki Deng, Qi Liu

IEEE International Conference on Robotics and Biomimetics

DOI

2021

[Review] Occurrence Regularity of Silt-Clay Minerals in Wind Eroded Deserts of Northwest China

Zhen Liu, Hao Sun, Ke Lin, Cuiying Zhou, Wei Huang

Sustainability，Vol. 13, No. 5

DOI

2019

DCDG-EA: Dynamic convergence-diversity guided evolutionary algorithm for many-objective optimization

Zhiyong Li, Ke Lin, Mourad Nouioua, Shilong Jiang, Yu Gu

Expert Systems With Applications，Vol. 118

DOI

2015

基于RBF神经网络算法在重金属浓度测量中的应用

李德霞，黄廷磊，林科，翟文军

《仪表技术与传感器》

2015

基于温度补偿的水环境重金属检测系统

翟文军，黄廷磊，林科，李德霞

《仪表技术与传感器》

2006

PCS颗粒测量技术中数字相关器的研究

雷堂彩，林科，黄廷磊

《仪表技术》

2006

PCS颗粒测量技术中数字相关器的研究

林科，黄廷磊

《仪器仪表学报》

DOI

2004

X射线线扫描安全检查设备实时数字信号处理的实现

林科

《南京理工大学》

2003

VHDL在数字系统设计中的运用

林科，黄廷磊，李敏

《仪表技术》

林科

精选作品

期刊论文

Flexible Trajectory Planning for Autonomous Vehicles via Environmental Assessment in Extreme Scenarios

DAPlanner: Dual-agent framework with multi-modal large language model for autonomous driving motion planning

Two-Stage AL-iLQR-Based Trajectory Planning for Special-Shaped Curb Cleaning of Sweeper

An Improved Stable Fine-Tuning framework for offline-to-online reinforcement learning

Sample-efficient backtrack temporal difference deep reinforcement learning

Distribution and migration of rare earth elements in sediment profile near a decommissioned uranium hydrometallurgical site in South China: Environmental implications

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning

Aggressive and robust low-level control and trajectory tracking for quadrotors with deep reinforcement learning

FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario

A Hybrid ARO Algorithm and Key Point Retention Strategy Trajectory Optimization for UAV Path Planning

Motion Planner With Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios

Learning Agile Quadrotor Flight in Restricted Environments With Safety Guarantees

Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation

Distributional Policy Gradient With Distributional Value Function

TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning

A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical

Learning Real-Time Dynamic Responsive Gap-Traversing Policy for Quadrotors With Safety-Aware Exploration

一种水环境重金属在线监测系统设计

Battery Management for Warehouse Robots via Average-Reward Reinforcement Learning

[Review] Occurrence Regularity of Silt-Clay Minerals in Wind Eroded Deserts of Northwest China

DCDG-EA: Dynamic convergence-diversity guided evolutionary algorithm for many-objective optimization

基于RBF神经网络算法在重金属浓度测量中的应用

基于温度补偿的水环境重金属检测系统

PCS颗粒测量技术中数字相关器的研究

PCS颗粒测量技术中数字相关器的研究

X射线线扫描安全检查设备实时数字信号处理的实现

VHDL在数字系统设计中的运用

会议论文

A Fast Planning Algorithm for Humanoids with Supervised Learning and Subproblem Decomposition