Shengjun Huang

According to our database, Shengjun Huang authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

KD-Crowd: a knowledge distillation framework for learning from crowds.

Shaoyuan Li, Yuxiang Zheng, Ye Shi, Shengjun Huang, Songcan Chen

Frontiers Comput. Sci., January, 2025

2024

Robust AUC maximization for classification with pairwise confidence comparisons.

Haochen Shi, Ming-Kun Xie, Shengjun Huang

Frontiers Comput. Sci., August, 2024

Windshear Detection in Rain Using a 30 km Radius Coherent Doppler Wind Lidar at Mega Airport in Plateau.

Haiyun Xia, Yixiang Chen, Jinlong Yuan, Lian Su, Zhu Yuan, Shengjun Huang, Dexian Zhao

Remote. Sens., March, 2024

Large-Scale Binary Matrix Optimization for Multimicrogrids Network Structure Design.

Wenhua Li, Rui Wang, Shengjun Huang, Tao Zhang, Ling Wang

IEEE Trans. Syst. Man Cybern. Syst., 2024

Multifactorial evolutionary algorithm for optimal reconfiguration capability of distribution networks.

Qingxia Li, Shengjun Huang, Xueyang Zhang, Wenhua Li, Rui Wang, Tao Zhang

Swarm Evol. Comput., 2024

Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons.

Binbin Ding, Penghui Yang, Zeqing Ge, Shengjun Huang

CoRR, 2024

Inversion-DeepONet: A Novel DeepONet-Based Network with Encoder-Decoder for Full Waveform Inversion.

Zekai Guo, Lihui Chai, Shengjun Huang, Ye Li

CoRR, 2024

2023

Multimodal multi-objective optimization: Comparative study of the state-of-the-art.

Wenhua Li, Tao Zhang, Rui Wang, Shengjun Huang, Jing Liang

Swarm Evol. Comput., March, 2023

Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning.

Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li

CoRR, 2023

2022

Optimal Topology Design for Distributed Generation Networks Considering Different Nodal Invulnerability Requirements.

Peng Jiao, Shengjun Huang, Bo Jiang, Tao Zhang

Symmetry, 2022

Two-Stage Stochastic Optimization for the Pre-Position and Reconfiguration of Microgrid Defense Resources against Natural Disasters.

Bo Jiang, Hongtao Lei, Shengjun Huang, Wenhua Li, Peng Jiao

Sensors, 2022

Deep Generative Crowdsourcing Learning with Worker Correlation Utilization.

Shaoyuan Li, Menglong Wei, Shengjun Huang

Int. J. Softw. Informatics, 2022

VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations.

Bin Shan, Ye Li, Shengjun Huang

CoRR, 2022

A Survey of Learning on Small Data.

Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang

CoRR, 2022

Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm.

Wenhua Li, Shengjun Huang, Tao Zhang, Rui Wang, Ling Wang

CoRR, 2022

A hybrid optimization framework for UAV reconnaissance mission planning.

Wei Liu, Tao Zhang, Shengjun Huang, Kaiwen Li

Comput. Ind. Eng., 2022

2020

Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management.

Wenhua Li, Guo Zhang, Tao Zhang, Shengjun Huang

Complex., 2020

2019

Distributionally Robust Chance-Constrained Energy Management for Islanded Microgrids.

Zhichao Shi, Hao Liang, Shengjun Huang, Venkata Dinavahi

IEEE Trans. Smart Grid, 2019

Robust Optimization for Microgrid Defense Resource Planning and Allocation Against Multi-Period Attacks.

Hongtao Lei, Shengjun Huang, Yajie Liu, Tao Zhang

IEEE Trans. Smart Grid, 2019

A Branch-and-Cut Benders Decomposition Algorithm for Transmission Expansion Planning.

Shengjun Huang, Venkata Dinavahi

IEEE Syst. J., 2019

2018

Real-Time Contingency Analysis on Massively Parallel Architectures With Compensation Method.

Shengjun Huang, Venkata Dinavahi

IEEE Access, 2018

Fast Batched Solution for Real-Time Optimal Power Flow With Penetration of Renewable Energy.

Shengjun Huang, Venkata Dinavahi

IEEE Access, 2018