ParaPLL: Fast Parallel Shortest-path Distance Query on Large-scale Weighted Graphs. - Kun Qiu; Yuanyang Zhu; Jing Yuan; Jin Zhao 001; Xin Wang 002; Tilman Wolf (ICPP, 2018)

Randomized block Krylov space methods for trace and log-determinant estimators. - Hanyu Li; Yuanyang Zhu (CoRR, 2020)

Predicting the citation counts of individual papers via a BP neural network. - Xuanmin Ruan; Yuanyang Zhu; Jiang Li 002; Ying Cheng 002 (J. Informetrics, 2020)

Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction. - Yuanyang Zhu; Zhi Wang; Chunlin Chen; Daoyi Dong (CoRR, 2021)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. - Zichuan Liu; Yuanyang Zhu; Zhi Wang; Chunlin Chen (CoRR, 2022)

Analysis of Protein and Fat in Milk Using Multiwavelength Gradient-Boosted Regression Tree. - Tao Sheng; Shengzhe Shi; Yuanyang Zhu; Debao Chen; Sheng Liu 005 (IEEE Trans. Instrum. Meas., 2022)

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. - Junyi Wang; Yuanyang Zhu; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chunlin Chen (ECAI, 2023)

NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning. - Zichuan Liu; Yuanyang Zhu; Chunlin Chen (ICML, 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)

Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control. - Yuanyang Zhu; Xiao Yin; Chunlin Chen (IEEE Trans. Comput. Soc. Syst., 2023)

An Open-Set Classification Method With Small Samples for Rotating Machinery. - Guangjie Han; Yuhang Xie; Zhen Wang 059; Yuanyang Zhu (IEEE Trans. Instrum. Meas., 2024)

UMCTN: Real-World Underwater Image Enhancement Based on Transformer With Multikernel Convolution. - Guangjie Han; Shun Yu; Hongbo Zhu 002; Yuanyang Zhu (IEEE Trans. Geosci. Remote. Sens., 2025)

A Novel Dual-Domain Adversarial Method for Vibration Signal Denoising in Bearing Fault Diagnosis. - Guangjie Han; Junhao Shen; Zhen Wang 059; Yuanyang Zhu; Yuhang Xie (IEEE Trans. Instrum. Meas., 2025)

Multiteacher Multifeature Knowledge Distillation Based on Dynamic Mutual Selection. - Guangjie Han; Yumeng Zhang; Li Liu 022; Zhen Wang 059; Yuanyang Zhu; Dan Xia (IEEE Trans. Instrum. Meas., 2025)

A Globally Interpretable Convolutional Neural Network Combining Bearing Semantics for Bearing Fault Diagnosis. - Zhen Wang 059; Guangjie Han; Li Liu 022; Feng Wang; Yuanyang Zhu (IEEE Trans. Instrum. Meas., 2025)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees. - Zichuan Liu; Yuanyang Zhu; Zhi Wang; Yang Gao 001; Chunlin Chen (IEEE Trans. Pattern Anal. Mach. Intell., 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., 2025)

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise. - Xuefei Wu; Xiao Yin; Yuanyang Zhu; Chunlin Chen (CoRR, 2025)

Concept Learning for Cooperative Multi-Agent Reinforcement Learning. - Zhonghan Ge; Yuanyang Zhu; Chunlin Chen (CoRR, 2025)