Hui Wang

According to our database, Hui Wang authored at least 18 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Hybrid Deep Reinforcement Learning for UAV Inspection in Large-Scale Wind Farms: Deployment and Routing Optimization.

Xiao-Yu Zhang, Huiming Yu, Xingnan Zheng, Hui Wang, Chaoxu Mu, Peiqian Guo

IEEE Trans. Ind. Informatics, November, 2025

Robust Lightweight UAV Inspection System for Consumer Electronics Applications in Smart Grids.

Xiao-Yu Zhang, Yang Xuan, Chaoxu Mu, Zhenhuan Ding, Hui Wang, Peiqian Guo

IEEE Trans. Consumer Electron., May, 2025

LAM-YOLOv11 for UAV transmission line inspection: overcoming environmental challenges with enhanced detection efficiency.

Yang Xuan, Xiao-Yu Zhang, Chen Li, Hui Wang, Chaoxu Mu

Multim. Syst., April, 2025

One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level.

Hui Wang, Fafa Zhang, Chaoxu Mu

CoRR, February, 2025

TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems.

Hui Wang, Xufeng Zhang, Xiaoyu Zhang, Zhenhuan Ding, Chaoxu Mu

CoRR, February, 2025

Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization.

Chaoxu Mu, Xufeng Zhang, Hui Wang

CoRR, February, 2025

2023

Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning.

Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

Int. J. Inf. Technol. Decis. Mak., March, 2023

2021

Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning.

Hui Wang, Mike Preuss, Aske Plaat

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning.

Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat

CoRR, 2020

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

CoRR, 2020

Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning.

Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat

Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

Warm-Start AlphaZero Self-play Search Enhancements.

Hui Wang, Mike Preuss, Aske Plaat

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

Hyper-Parameter Sweep on AlphaZero General.

Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

CoRR, 2019

Alternative Loss Functions in AlphaZero-like Self-play.

Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Monte Carlo Q-learning for General Game Playing.

Hui Wang, Michael Emmerich, Aske Plaat

CoRR, 2018

A Search Optimization Method for Rule Learning in Board Games.

Hui Wang, Yanni Tang, Jiamou Liu, Wu Chen

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Assessing the Potential of Classical Q-learning in General Game Playing.

Hui Wang, Michael Emmerich, Aske Plaat

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017

A consensus value approach for influence maximization in social networks.

Fang Yang, Hui Wang, Yanni Tang, Jiamou Liu, Wu Chen

Proceedings of the IEEE International Conference on Agents, 2017