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2020 – today
- 2024
[j13]Hongjie Sui
, Huan Yan, Tianyi Zheng, Wenzhen Huang, Yunlin Zhuang, Yong Li:
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search. ACM Trans. Knowl. Discov. Data 18(7): 179 (2024)- [j12]Haoqiang Liu, Wenzhen Huang, Dong In Kim, Sumei Sun, Yonghong Zeng, Shaohan Feng:
Towards Efficient Task Offloading With Dependency Guarantees in Vehicular Edge Networks Through Distributed Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 73(9): 13665-13681 (2024) - [c11]Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li:
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD 2024: 3128-3139 - 2023
- [j11]Enjamamul Hoq, Osama Aljarrah, Jun Li, Jing Bi, Alfa R. H. Heryudono, Wenzhen Huang:
Data-driven methods for stress field predictions in random heterogeneous materials. Eng. Appl. Artif. Intell. 123(Part A): 106267 (2023) - [j10]Osama Aljarrah, Jun Li, Alfa R. H. Heryudono, Wenzhen Huang, Jing Bi:
Predicting part distortion field in additive manufacturing: a data-driven framework. J. Intell. Manuf. 34(4): 1975-1993 (2023) - [c10]Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li:
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. CIKM 2023: 885-894 - [c9]Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li:
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning. KDD 2023: 685-697 - [c8]Tao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, Yong Li:
ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery Service. KDD 2023: 4024-4034 - [i5]Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang:
Carbon emissions and sustainability of launching 5G mobile networks in China. CoRR abs/2306.08337 (2023) - [i4]Tong Li, Fenyu Jiang, Qiaohong Yu, Wenzhen Huang, Tao Jiang, Depeng Jin:
How AI-driven Digital Twins Can Empower Mobile Networks. CoRR abs/2311.12273 (2023) - 2022
- [c7]Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li:
Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network. KDD 2022: 4684-4694 - 2021
- [j9]Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning Macromanagement in Starcraft by Deep Reinforcement Learning. Sensors 21(10): 3332 (2021) - [c6]Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. AAAI 2021: 7848-7856 - [c5]Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li:
Consistency Regularization for Ensemble Model Based Reinforcement Learning. PRICAI (3) 2021: 3-16 - [i3]Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. CoRR abs/2104.04174 (2021) - 2020
- [i2]Xiyao Wang, Junge Zhang, Wenzhen Huang, Qiyue Yin:
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning. CoRR abs/2010.12914 (2020)
2010 – 2019
- 2019
- [j8]Xichen Wang, Yugeng Xi, Wenzhen Huang, Shuai Jia:
Deducing complete selection rule set for driver nodes to guarantee network' structural controllability. IEEE CAA J. Autom. Sinica 6(5): 1152-1165 (2019) - [c4]Wenzhen Huang, Junge Zhang, Kaiqi Huang:
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. AAAI 2019: 3870-3877 - 2018
- [j7]Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen:
Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms. IEEE Trans. Evol. Comput. 22(4): 501-514 (2018) - 2017
- [j6]Min Jiang, Wenzhen Huang, Zhongqiang Huang, Gary G. Yen:
Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction. IEEE Trans. Cybern. 47(1): 38-51 (2017) - [c3]Wenzhen Huang, Peipei Yang, Kaiqi Huang:
From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment. ACPR 2017: 304-309 - [c2]Wenzhen Huang, Peipei Yang, Kaiqi Huang:
A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks. ICDM 2017: 919-924 - 2016
- [j5]Kaveh Bastani, Sunwook Kim, Zhenyu James Kong, Maury A. Nussbaum, Wenzhen Huang:
Online Classification and Sensor Selection Optimization With Applications to Human Material Handling Tasks Using Wearable Sensing Technologies. IEEE Trans. Hum. Mach. Syst. 46(4): 485-497 (2016) - [i1]Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen:
Transfer Learning based Dynamic Multiobjective Optimization Algorithms. CoRR abs/1612.06093 (2016) - 2013
- [j4]Wenzhen Huang:
Sample Size Determination in NT-Net Quasi-Monte Carlo Simulation. J. Comput. Inf. Sci. Eng. 13(3) (2013) - [j3]Kaveh Bastani, Zhenyu James Kong, Wenzhen Huang, Xiaoming Huo, Yingqing Zhou:
Fault Diagnosis Using an Enhanced Relevance Vector Machine (RVM) for Partially Diagnosable Multistation Assembly Processes. IEEE Trans Autom. Sci. Eng. 10(1): 124-136 (2013) - 2010
- [j2]Wenzhen Huang, Zhenyu James Kong, Abishek Chennamaraju:
Robust Design for Fixture Layout in Multistation Assembly Systems Using Sequential Space Filling Methods. J. Comput. Inf. Sci. Eng. 10(4) (2010) - [j1]Wenzhen Huang, Zhenyu James Kong:
Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes. IEEE Trans Autom. Sci. Eng. 7(4): 736-745 (2010)
2000 – 2009
- 2008
- [c1]Wenzhen Huang, Zhenyu James Kong:
Process capability sensitivity analysis for design evaluation of multi station assembly systems. CASE 2008: 400-405
Coauthor Index
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