Process capability sensitivity analysis for design evaluation of multi station assembly systems. - Wenzhen Huang; Zhenyu James Kong (CASE, 2008)

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)

Process Capability Sensitivity Analysis for Design Evaluation of Multistage Assembly Processes. - Wenzhen Huang; Zhenyu James Kong (IEEE Trans Autom. Sci. Eng., 2010)

Sample Size Determination in NT-Net Quasi-Monte Carlo Simulation. - Wenzhen Huang (J. Comput. Inf. Sci. Eng., 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)

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)

From Classification to Regression: Model Transfer for Visual Aesthetic Quality Assessment. - Wenzhen Huang; Peipei Yang; Kaiqi Huang (ACPR, 2017)

A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks. - Wenzhen Huang; Peipei Yang; Kaiqi Huang (ICDM, 2017)

Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction. - Min Jiang 005; Wenzhen Huang; Zhongqiang Huang; Gary G. Yen (IEEE Trans. Cybern., 2017)

Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms. - Min Jiang 005; Zhongqiang Huang; Liming Qiu; Wenzhen Huang; Gary G. Yen (IEEE Trans. Evol. Comput., 2018)

Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning. - Wenzhen Huang; Junge Zhang; Kaiqi Huang (AAAI, 2019)

Deducing complete selection rule set for driver nodes to guarantee network' structural controllability. - Xichen Wang; Yugeng Xi 001; Wenzhen Huang; Shuai Jia (IEEE CAA J. Autom. Sinica, 2019)

Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning. - Xiyao Wang; Junge Zhang; Wenzhen Huang; Qiyue Yin (CoRR, 2020)

Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. - Wenzhen Huang; Qiyue Yin; Junge Zhang; Kaiqi Huang (AAAI, 2021)

Consistency Regularization for Ensemble Model Based Reinforcement Learning. - Ruonan Jia; Qingming Li; Wenzhen Huang; Junge Zhang; Xiu Li 001 (PRICAI (3), 2021)

Learning Macromanagement in Starcraft by Deep Reinforcement Learning. - Wenzhen Huang; Qiyue Yin; Junge Zhang; Kaiqi Huang (Sensors, 2021)

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 008 (KDD, 2022)

Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. - Wenzhen Huang; Tong Li 013; Yuting Cao; Zhe Lyu; Yanping Liang; Li Yu; Depeng Jin; Junge Zhang; Yong Li 008 (CIKM, 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 008 (KDD, 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 008 (KDD, 2023)

Carbon emissions and sustainability of launching 5G mobile networks in China. - Tong Li 013; Li Yu; Yibo Ma; Tong Duan; Wenzhen Huang; Yan Zhou; Depeng Jin; Yong Li 008; Tao Jiang 002 (CoRR, 2023)

How AI-driven Digital Twins Can Empower Mobile Networks. - Tong Li 013; Fenyu Jiang; Qiaohong Yu; Wenzhen Huang; Tao Jiang 002; Depeng Jin (CoRR, 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)

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., 2023)

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD, 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 008 (ACM Trans. Knowl. Discov. Data, 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., 2024)

CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Qin Zhang 011; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD (1), 2025)

Digital Twin Enhanced Multi-Agent Reinforcement Learning for Large-Scale Mobile Network Coverage Optimization. - Haoqiang Liu; Weikang Su; Tong Li 013; Wenzhen Huang; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2025)

Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications. - Tong Li 013; Qingyue Long; Haoye Chai; Shiyuan Zhang; Fenyu Jiang; Haoqiang Liu; Wenzhen Huang; Depeng Jin; Yong Li 008 (ACM Comput. Surv., 2025)