Yongming He

According to our database, Yongming He authored at least 18 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Dynamic collaborative learning with heterogeneous knowledge transfer for long-tailed visual recognition.

Hao Zhou, Tingjin Luo, Yongming He

Inf. Fusion, 2025

2024

Ensemble reinforcement learning: A survey.

Yanjie Song, Ponnuthurai Nagaratnam Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Ying-Wu Chen, Yutong Wu

Appl. Soft Comput., December, 2024

A deep learning algorithm to identify carotid plaques and assess their stability.

Lan He, Zekun Yang, Yudong Wang, Weidao Chen, Le Diao, Yitong Wang, Wei Yuan, Xu Li, Ying Zhang, Yongming He, E. Shen

Frontiers Artif. Intell., 2024

2023

Deep reinforcement learning method for satellite range scheduling problem.

Junwei Ou, Lining Xing, Feng Yao, Mengjun Li, Jimin Lv, Yongming He, Yanjie Song, Jian Wu, Guoting Zhang

Swarm Evol. Comput., March, 2023

Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System.

Qihang Zhao, Rui-Jie Zhu, Liu Yang, Yongming He, Bo Zhou, Luo Cheng

CoRR, 2023

Ensemble Reinforcement Learning: A Survey.

Yanjie Song, Ponnuthurai N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen

CoRR, 2023

2022

Solving the Agile Earth Observation Satellite Scheduling Problem With Time-Dependent Transition Times.

Guansheng Peng, Guopeng Song, Yongming He, Jing Yu, Shang Xiang, Lining Xing, Pieter Vansteenwegen

IEEE Trans. Syst. Man Cybern. Syst., 2022

A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites.

Yongming He, Lining Xing, Yingwu Chen, Witold Pedrycz, Ling Wang, Guohua Wu

IEEE Trans. Syst. Man Cybern. Syst., 2022

An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem.

Bingjie Li, Guohua Wu, Yongming He, Mingfeng Fan, Witold Pedrycz

IEEE CAA J. Autom. Sinica, 2022

2021

Disassembling object representations without labels.

Zunlei Feng, Yongming He, Yike Yuan, Li Sun, Huiqiong Wang, Mingli Song

Neurocomputing, 2021

Recharge strategies for the electric vehicle routing problem with soft time windows and fast chargers.

Teng Ren, Shuxuan Li, Yongming He, Chenglin Xiao, Ke Zhang, Guohua Wu, Zhenping Li

Int. J. Autom. Control., 2021

A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems.

Yongming He, Guohua Wu, Yingwu Chen, Witold Pedrycz

CoRR, 2021

2020

Disassembling Object Representations without Labels.

Zunlei Feng, Xinchao Wang, Yongming He, Yike Yuan, Xin Gao, Mingli Song

CoRR, 2020

One-sample Guided Object Representation Disassembling.

Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

MOEA based memetic algorithms for multi-objective satellite range scheduling problem.

Yonghao Du, Lining Xing, Jiawei Zhang, Yingguo Chen, Yongming He

Swarm Evol. Comput., 2019

Scheduling multiple agile earth observation satellites with an edge computing framework and a constructive heuristic algorithm.

Yongming He, Yingwu Chen, Jimin Lu, Cheng Chen, Guohua Wu

J. Syst. Archit., 2019

2015

Bio-inspired Algorithms Applied in Multi-objective Vehicle Routing Problem: Frameworks and Applications.

Yuan Wang, Yongming He, Lei He, Lining Xing

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2002

Multicasting along energy-efficient meshes in mobile ad hoc networks.

Hai Jiang, Shixin Cheng, Yongming He, Bo Sun

Proceedings of the 2002 IEEE Wireless Communications and Networking Conference Record, 2002