Wenjie Zhang

According to our database, Wenjie Zhang authored at least 15 papers between 2016 and 2026.

Collaborative distances:

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

2026

Autonomous Multiobjective Optimization Using Large Language Model.

Yuxiao Huang, Shenghao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan

IEEE Trans. Evol. Comput., April, 2026

A Heterogeneous Multiple-Experts Approach to Low-Frequency Nonintrusive Load Monitoring.

Zipeng Liang, Chi Yung Chung, Haosen Yang, Jian Liang, Wenjie Zhang, Hanjiang Dong, Jizhong Zhu

IEEE Trans. Smart Grid, January, 2026

2025

A Class Alignment Multisource Domain Adaptation for Partial Discharge Condition Assessment With Unknown Faults in GIS.

Yanxin Wang, Jing Yan, Zhou Yang, Wenjie Zhang, Jianhua Wang, Yingsan Geng, Dipti Srinivasan

IEEE Internet Things J., June, 2025

Enabling High-Efficiency Economic Dispatch of Hybrid AC/DC Networked Microgrids: Steady-State Convex Bi-Directional Converter Models.

Zipeng Liang, Chi Yung Chung, Wenjie Zhang, Qin Wang, Wei Lin, Chongyu Wang

IEEE Trans. Smart Grid, January, 2025

2024

Mutitask Learning Network for Partial Discharge Condition Assessment in Gas-Insulated Switchgear.

Yanxin Wang, Jing Yan, Wenjie Zhang, Zhou Yang, Jianhua Wang, Yingsan Geng, Dipti Srinivasan

IEEE Trans. Ind. Informatics, October, 2024

AC False Data Injection Attack Based on Robust Tensor Principle Component Analysis.

Haosen Yang, Wenjie Zhang, C. Y. Chung, Ziqiang Wang, Wei Qiu, Zipeng Liang

IEEE Trans. Ind. Informatics, August, 2024

Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks.

Xiaofeng Zou, Cen Chen, Peiying Lin, Luochuan Zhang, Yanwu Xu, Wenjie Zhang

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators.

Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.

Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan

CoRR, 2024

2023

Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds.

Yangfan Li, Cen Chen, Weiquan Yan, Zhongyao Cheng, Hui Li Tan, Wenjie Zhang

IEEE Trans. Intell. Transp. Syst., August, 2023

2020

Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections.

Wenjie Zhang, Hao Quan, Oktoviano Gandhi, Ram Rajagopal, Chin-Woo Tan, Dipti Srinivasan

IEEE Trans. Smart Grid, 2020

2019

An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting.

Wenjie Zhang, Hao Quan, Dipti Srinivasan

IEEE Trans. Smart Grid, 2019

Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids.

Utkarsh Kumar, Dipti Srinivasan, Anupam Trivedi, Wenjie Zhang, Thomas Reindl

IEEE Trans. Smart Grid, 2019

Reliable Photovoltaic Generation Forecasting via Quantile Determination.

Wenjie Zhang, Hao Quan, Oktoviano Gandhi, Dipti Srinivasan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

2016

A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization.

Wenjie Zhang, Pritam Das, Dipti Srinivasan

Proceedings of the IEEE Congress on Evolutionary Computation, 2016