Wenquan Zhang

14 papers B 1Misc 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel deep reinforcement learning framework based on digital twins for dynamic job shop scheduling problems.
Expert Syst. Appl.
Wenquan Zhang, Zhaoxian Peng, Fei Zhao, Bo Feng, Xuesong Mei
2026 J jnl
AdaClearGrasp: Learning Adaptive Clearing for Zero-Shot Robust Dexterous Grasping in Densely Cluttered Environments.
CoRR
Zixuan Chen, Wenquan Zhang, Jing Fang, Ruiming Zeng, Zhixuan Xu, Yiwen Hou, Xinke Wang, Jieqi Shi, Jing Huo, Yang Gao
2026 J jnl
Solving Dynamic Job Shop Scheduling Problems via an enhanced Proximal Policy Optimization algorithm with Double Prioritized Experience Replay.
Swarm Evol. Comput.
Wenquan Zhang, Fei Zhao, Cameron G. Walker, Thomas Adams, Xuesong Mei
2025 J jnl
A Reinforcement Learning Control Framework Based on Scalable Graph Transformer for Large-Scale Fuzzy Job Shop Scheduling Problems.
IEEE Trans. Neural Networks Learn. Syst.
Wenquan Zhang, Fei Zhao, Bo Feng, Xuesong Mei
2025 Misc conf
TheSHY-3D: Texture and Structure HarmonY for Multi-View 3D Object Detection.
ICASSP
Wenquan Zhang
2024 — conf
Gender Differences in Hierarchical Cognitive Control of Emotion: An EEG Study.
EMBC
Wenquan Zhang, Xinyao Li, Pinrong Chen, Bo Zhang, Shuang Liu
2022 — conf
Altered Lateralization of Gamma Oscillations and Theta-gamma Coupling in Major Depression: An EEG Study.
ICBBE
Wenquan Zhang, Wei Liu, Xiaoya Liu, Shuang Liu, Dong Ming
2022 — conf
An Automatic Depression Recognition Method from Spontaneous Pronunciation Using Machine Learning.
ICBBE
Minghao Du, Wenquan Zhang, Tao Wang, Shuang Liu, Dong Ming
2019 J jnl
Lidar Mapping Optimization Based on Lightweight Semantic Segmentation.
IEEE Trans. Intell. Veh.
Zhihao Zhao, Wenquan Zhang, Jianfeng Gu, Junjie Yang, Kai Huang
2018 B conf
LiSeg: Lightweight Road-object Semantic Segmentation In 3D LiDAR Scans For Autonomous Driving.
Intelligent Vehicles Symposium
Wenquan Zhang, Chancheng Zhou, Junjie Yang, Kai Huang
2016 J jnl
The correlation analysis of mine roof water inrush grade and influence factors based on Fuzzy Matter-Element.
J. Intell. Fuzzy Syst.
Wenquan Zhang, Bo Li, Hailing Yu
2009 — conf
Blind Separation of Convolutive Mixed Source Signals by Using Robust Nonnegative Matrix Factorization.
ICNC (6)
Ye Zhang, Wenquan Zhang, Guojin Wan, Yong Fang
2008 — conf
Research on the Integrated Neural Network Water Inrush Prediction System Based on Takagi-Sugeno Fuzzy Criteria.
ICNC (4)
Wenquan Zhang, Yanghui Ren, Hongri Zhang, Yanhui Hu, Ming Sun
2005 — conf
Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network.
ICNC (1)
Ye Zhang, Yiqiang Wu, Wenquan Zhang, Yi Zheng