Wei Wang

According to our database, Wei Wang authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Self-distillation enhanced adaptive pruning of convolutional neural networks.

Huabin Diao, Gongyan Li, Shaoyun Xu, Chao Kong, Wei Wang, Shuai Liu, Yuefeng He

Pattern Recognit., 2025

2024

Attention Round for post-training quantization.

Huabin Diao, Gongyan Li, Shaoyun Xu, Chao Kong, Wei Wang

Neurocomputing, January, 2024

STRec: Social-Augmented Time-Aware Cross-Domain Sequential Recommendation.

Xiangyun Gao, Dan Meng, Xianlan Sun, Wei Wang, Haibei Zhu, Chao Kong

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

2023

Water Leakage Detection System for Public Toilets Based on Deep leaning.

Yu Xiu, Wei Wang, Xing-Jing Liu, Jun-Jie Cheng

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

2022

USVs-Sim: A general simulation platform for unmanned surface vessels autonomous learning.

Wei Wang, Han Zhang, Yang Li, Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie

Concurr. Comput. Pract. Exp., 2022

2021

Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning.

Yang Li, Xinzhi Wang, Wei Wang, Zhenyu Zhang, Jianshu Wang, Xiangfeng Luo, Shaorong Xie

Connect. Sci., 2021

Unmanned surface vessel obstacle avoidance with prior knowledge-based reward shaping.

Wei Wang, Xiangfeng Luo, Yang Li, Shaorong Xie

Concurr. Comput. Pract. Exp., 2021

2020

SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning.

Jianshu Wang, Xinzhi Wang, Xiangfeng Luo, Zhenyu Zhang, Wei Wang, Yang Li

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability.

Yang Li, Xinzhi Wang, Jianshu Wang, Wei Wang, Xiangfeng Luo, Shaorong Xie

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

Proximal Policy Optimization with Mixed Distributed Training.

Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li

CoRR, 2019

Proximal Policy Optimization with Mixed Distributed Training.

Zhenyu Zhang, Xiangfeng Luo, Tong Liu, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li, Yan Peng

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019