Hui Wang

According to our database, Hui Wang authored at least 21 papers between 2017 and 2026.

Collaborative distances:

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

2026

A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks.

Hui Wang, Fafa Zhang, Xiaoyu Zhang, Chaoxu Mu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CogMCTS: A Novel Cognitive-Guided Monte Carlo Tree Search Framework for Iterative Heuristic Evolution with Large Language Models.

Hui Wang, Yang Liu, Xiaoyu Zhang, Chaoxu Mu

CoRR, December, 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

A Lightweight Facial Expression Detection Model for Elderly Depression Monitoring on Consumer Edge Devices.

Chengda Wang, Xiao-Yu Zhang, Peiqian Guo, Hui Wang, Chaoxu Mu, Changyin Sun

IEEE Trans. Consumer Electron., 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