Yuanyang Zhu

According to our database, Yuanyang Zhu authored at least 19 papers between 2018 and 2025.

Collaborative distances:

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

2025

Concept Learning for Cooperative Multi-Agent Reinforcement Learning.

Zhonghan Ge, Yuanyang Zhu, Chunlin Chen

CoRR, July, 2025

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise.

Xuefei Wu, Xiao Yin, Yuanyang Zhu, Chunlin Chen

CoRR, July, 2025

Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning.

Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, Chunlin Chen, Dongbin Zhao

IEEE Trans. Neural Networks Learn. Syst., June, 2025

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees.

Zichuan Liu, Yuanyang Zhu, Zhi Wang, Yang Gao, Chunlin Chen

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

A Globally Interpretable Convolutional Neural Network Combining Bearing Semantics for Bearing Fault Diagnosis.

Zhen Wang, Guangjie Han, Li Liu, Feng Wang, Yuanyang Zhu

IEEE Trans. Instrum. Meas., 2025

Multiteacher Multifeature Knowledge Distillation Based on Dynamic Mutual Selection.

Guangjie Han, Yumeng Zhang, Li Liu, Zhen Wang, Yuanyang Zhu, Dan Xia

IEEE Trans. Instrum. Meas., 2025

A Novel Dual-Domain Adversarial Method for Vibration Signal Denoising in Bearing Fault Diagnosis.

Guangjie Han, Junhao Shen, Zhen Wang, Yuanyang Zhu, Yuhang Xie

IEEE Trans. Instrum. Meas., 2025

UMCTN: Real-World Underwater Image Enhancement Based on Transformer With Multikernel Convolution.

Guangjie Han, Shun Yu, Hongbo Zhu, Yuanyang Zhu

IEEE Trans. Geosci. Remote. Sens., 2025

2024

An Open-Set Classification Method With Small Samples for Rotating Machinery.

Guangjie Han, Yuhang Xie, Zhen Wang, Yuanyang Zhu

IEEE Trans. Instrum. Meas., 2024

2023

Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control.

Yuanyang Zhu, Xiao Yin, Chunlin Chen

IEEE Trans. Comput. Soc. Syst., August, 2023

Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning.

Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu, Zhi Wang, Chunlin Chen

CoRR, 2023

NA²Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning.

Zichuan Liu, Yuanyang Zhu, Chunlin Chen

Proceedings of the International Conference on Machine Learning, 2023

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization.

Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Analysis of Protein and Fat in Milk Using Multiwavelength Gradient-Boosted Regression Tree.

Tao Sheng, Shengzhe Shi, Yuanyang Zhu, Debao Chen, Sheng Liu

IEEE Trans. Instrum. Meas., 2022

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees.

Zichuan Liu, Yuanyang Zhu, Zhi Wang, Chunlin Chen

CoRR, 2022

2021

Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction.

Yuanyang Zhu, Zhi Wang, Chunlin Chen, Daoyi Dong

CoRR, 2021

2020

Predicting the citation counts of individual papers via a BP neural network.

Xuanmin Ruan, Yuanyang Zhu, Jiang Li, Ying Cheng

J. Informetrics, 2020

Randomized block Krylov space methods for trace and log-determinant estimators.

Hanyu Li, Yuanyang Zhu

CoRR, 2020

2018

ParaPLL: Fast Parallel Shortest-path Distance Query on Large-scale Weighted Graphs.

Kun Qiu, Yuanyang Zhu, Jing Yuan, Jin Zhao, Xin Wang, Tilman Wolf

Proceedings of the 47th International Conference on Parallel Processing, 2018