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Wenzhen Huang
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2020 – today
- 2024
- [j13]Hongjie Sui
, Huan Yan
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
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
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD 2024: 3128-3139 - 2023
- [j11]Enjamamul Hoq
Data-driven methods for stress field predictions in random heterogeneous materials. Eng. Appl. Artif. Intell. 123(Part A): 106267 (2023) - [j10]Osama Aljarrah
Predicting part distortion field in additive manufacturing: a data-driven framework. J. Intell. Manuf. 34(4): 1975-1993 (2023) - [c10]Wenzhen Huang
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. CIKM 2023: 885-894 - [c9]Qianyue Hao
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
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
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
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
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
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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