Qi Wang

25 papers Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Two-Stage Framework Based on RL for Truck-Drone Collaborative Delivery Problem.
IEEE Internet Things J.
Yuanbo Li, Chengwei Zhang, Wanting Liu, Chao Li, Dou An, Qi Wang
2025 J jnl
Empowering branch-and-bound algorithms via reinforcement and imitation learning for enhanced search.
Appl. Soft Comput.
Qi Wang
2025 J jnl
Quantization-based deep diversified ensemble for medical image segmentation.
Eng. Appl. Artif. Intell.
Jiawei Zhang, Jialin Wang, Qi Wang, Yanchun Zhang, Weihong Han, Yangyang Mei, Yiyu Shi, Jian Zhuang, Meiping Huang, Xiaowei Xu
2025 J jnl
Safe Refined Oil Dispatching via Constrained Multiagent Reinforcement Learning With Hierarchical Action Spaces.
IEEE Trans Autom. Sci. Eng.
Kun Tang, Chengwei Zhang, Wanting Liu, Xue Li, Qi Wang, Dou An, Furui Zhan
2025 J jnl
Vehicle-Level Fairness-Oriented Constrained Multi-Agent Reinforcement Learning for Adaptive Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst.
Wanting Liu, Chengwei Zhang, Wanqing Fang, Kailing Zhou, Yihong Li, Furui Zhan, Qi Wang, Wanli Xue, Rong Chen
2024 J jnl
Dynamic programming with meta-reinforcement learning: a novel approach for multi-objective optimization.
Complex Intell. Syst.
Qi Wang, Chengwei Zhang, Bin Hu
2024 J jnl
Exploring Advanced Methodologies in Security Evaluation for LLMs.
CoRR
Jun Huang, Jiawei Zhang, Qi Wang, Weihong Han, Yanchun Zhang
2023 J jnl
Discovering Lin-Kernighan-Helsgaun heuristic for routing optimization using self-supervised reinforcement learning.
J. King Saud Univ. Comput. Inf. Sci.
Qi Wang, Chengwei Zhang, Chunlei Tang
2023 J jnl
Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information.
J. Parallel Distributed Comput.
Yongsheng Hao, Qi Wang, Tinghuai Ma, Jinglin Du, Jie Cao
2023 J jnl
Generative inverse reinforcement learning for learning 2-opt heuristics without extrinsic rewards in routing problems.
J. King Saud Univ. Comput. Inf. Sci.
Qi Wang, Yongsheng Hao, Jiawei Zhang
2023 J jnl
Interval grey number of energy consumption helps task offloading in the mobile environment.
ICT Express
Yongsheng Hao, Qi Wang, Jie Cao, Tinghuai Ma, Jinglin Du, Xin Zhang
2023 J jnl
Mastering construction heuristics with self-play deep reinforcement learning.
Neural Comput. Appl.
Qi Wang, Yuqing He, Chunlei Tang
2023 J jnl
Meteorological data layout and task scheduling in a multi-cloud environment.
Eng. Appl. Artif. Intell.
Yongsheng Hao, Jie Cao, Qi Wang, Tinghuai Ma, Qin Wang, Xin Zhang
2023 J jnl
Routing optimization with Monte Carlo Tree Search-based multi-agent reinforcement learning.
Appl. Intell.
Qi Wang, Yongsheng Hao
2023 J jnl
Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning.
Inf. Sci.
Qi Wang, Kenneth H. Lai, Chunlei Tang
2022 — conf
Generative Adversarial Imitation Learning to Search in Branch-and-Bound Algorithms.
DASFAA (2)
Qi Wang, Suzanne V. Blackley, Chunlei Tang
2022 J jnl
VARL: a variational autoencoder-based reinforcement learning Framework for vehicle routing problems.
Appl. Intell.
Qi Wang
2021 J jnl
Deep reinforcement learning for transportation network combinatorial optimization: A survey.
Knowl. Based Syst.
Qi Wang, Chunlei Tang
2021 J jnl
Deepening the IDA* algorithm for knowledge graph reasoning through neural network architecture.
Neurocomputing
Qi Wang, Yongsheng Hao, Feng Chen
2021 J jnl
Energy-aware offloading based on priority in mobile cloud computing.
Sustain. Comput. Informatics Syst.
Yongsheng Hao, Jie Cao, Qi Wang, Tinghuai Ma
2021 J jnl
Energy-aware scheduling in edge computing with a clustering method.
Future Gener. Comput. Syst.
Yongsheng Hao, Jie Cao, Qi Wang, Jinglin Du
2021 J jnl
Learning to traverse over graphs with a Monte Carlo tree search-based self-play framework.
Eng. Appl. Artif. Intell.
Qi Wang, Yongsheng Hao, Jie Cao
2020 J jnl
ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning.
Knowl. Based Syst.
Qi Wang, Yongsheng Hao, Jie Cao
2020 J jnl
ALSTM: An attention-based long short-term memory framework for knowledge base reasoning.
Neurocomputing
Qi Wang, Yongsheng Hao
2020 J jnl
GRL: Knowledge graph completion with GAN-based reinforcement learning.
Knowl. Based Syst.
Qi Wang, Yuede Ji, Yongsheng Hao, Jie Cao