Wenzhen Huang

According to our database, Wenzhen Huang authored at least 27 papers between 2008 and 2024.

Collaborative distances:

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

2024

Towards Efficient Task Offloading With Dependency Guarantees in Vehicular Edge Networks Through Distributed Deep Reinforcement Learning.

Haoqiang Liu, Wenzhen Huang, Dong In Kim, Sumei Sun, Yonghong Zeng, Shaohan Feng

IEEE Trans. Veh. Technol., September, 2024

Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search.

Hongjie Sui, Huan Yan, Tianyi Zheng, Wenzhen Huang, Yunlin Zhuang, Yong Li

ACM Trans. Knowl. Discov. Data, August, 2024

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation.

Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Predicting part distortion field in additive manufacturing: a data-driven framework.

Osama Aljarrah, Jun Li, Alfa R. H. Heryudono, Wenzhen Huang, Jing Bi

J. Intell. Manuf., April, 2023

Data-driven methods for stress field predictions in random heterogeneous materials.

Enjamamul Hoq, Osama Aljarrah, Jun Li, Jing Bi, Alfa R. H. Heryudono, Wenzhen Huang

Eng. Appl. Artif. Intell., 2023

How AI-driven Digital Twins Can Empower Mobile Networks.

Tong Li, Fenyu Jiang, Qiaohong Yu, Wenzhen Huang, Tao Jiang, Depeng Jin

CoRR, 2023

Carbon emissions and sustainability of launching 5G mobile networks in China.

Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang

CoRR, 2023

GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning.

Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service.

Tao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, Yong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands.

Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network.

Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Learning Macromanagement in Starcraft by Deep Reinforcement Learning.

Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang

Sensors, 2021

Consistency Regularization for Ensemble Model Based Reinforcement Learning.

Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning.

Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning.

Xiyao Wang, Junge Zhang, Wenzhen Huang, Qiyue Yin

CoRR, 2020

2019

Deducing complete selection rule set for driver nodes to guarantee network' structural controllability.

Xichen Wang, Yugeng Xi, Wenzhen Huang, Shuai Jia

IEEE CAA J. Autom. Sinica, 2019

Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning.

Wenzhen Huang, Junge Zhang, Kaiqi Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms.

Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen

IEEE Trans. Evol. Comput., 2018

2017

Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction.

Min Jiang, Wenzhen Huang, Zhongqiang Huang, Gary G. Yen

IEEE Trans. Cybern., 2017

A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks.

Wenzhen Huang, Peipei Yang, Kaiqi Huang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment.

Wenzhen Huang, Peipei Yang, Kaiqi Huang

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Online Classification and Sensor Selection Optimization With Applications to Human Material Handling Tasks Using Wearable Sensing Technologies.

Kaveh Bastani, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum, Wenzhen Huang

IEEE Trans. Hum. Mach. Syst., 2016

2013

Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes.

Kaveh Bastani, Zhenyu James Kong, Wenzhen Huang, Xiaoming Huo, Yingqing Zhou

IEEE Trans Autom. Sci. Eng., 2013

Sample Size Determination in NT-Net Quasi-Monte Carlo Simulation.

Wenzhen Huang

J. Comput. Inf. Sci. Eng., 2013

2010

Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes.

Wenzhen Huang, Zhenyu James Kong

IEEE Trans Autom. Sci. Eng., 2010

Robust Design for Fixture Layout in Multistation Assembly Systems Using Sequential Space Filling Methods.

Wenzhen Huang, Zhenyu James Kong, Abishek Chennamaraju

J. Comput. Inf. Sci. Eng., 2010

2008

Process capability sensitivity analysis for design evaluation of multi station assembly systems.

Wenzhen Huang, Zhenyu James Kong

Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008