Fast Batched Solution for Real-Time Optimal Power Flow With Penetration of Renewable Energy. - Shengjun Huang; Venkata Dinavahi (IEEE Access, 2018)

Real-Time Contingency Analysis on Massively Parallel Architectures With Compensation Method. - Shengjun Huang; Venkata Dinavahi (IEEE Access, 2018)

A Branch-and-Cut Benders Decomposition Algorithm for Transmission Expansion Planning. - Shengjun Huang; Venkata Dinavahi (IEEE Syst. J., 2019)

Robust Optimization for Microgrid Defense Resource Planning and Allocation Against Multi-Period Attacks. - Hongtao Lei; Shengjun Huang; Yajie Liu; Tao Zhang 033 (IEEE Trans. Smart Grid, 2019)

Distributionally Robust Chance-Constrained Energy Management for Islanded Microgrids. - Zhichao Shi; Hao Liang 002; Shengjun Huang; Venkata Dinavahi (IEEE Trans. Smart Grid, 2019)

Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management. - Wenhua Li; Guo Zhang; Tao Zhang 033; Shengjun Huang (Complex., 2020)

A hybrid optimization framework for UAV reconnaissance mission planning. - Wei Liu 151; Tao Zhang 033; Shengjun Huang; Kaiwen Li (Comput. Ind. Eng., 2022)

Large-scale matrix optimization based multi microgrid topology design with a constrained differential evolution algorithm. - Wenhua Li; Shengjun Huang; Tao Zhang 033; Rui Wang 017; Ling Wang 001 (CoRR, 2022)

A Survey of Learning on Small Data. - Xiaofeng Cao 002; Weixin Bu; Shengjun Huang; Ying-Peng Tang; Yaming Guo; Yi Chang 001; Ivor W. Tsang (CoRR, 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)

Deep Generative Crowdsourcing Learning with Worker Correlation Utilization. - Shaoyuan Li; Menglong Wei; Shengjun Huang (Int. J. Softw. Informatics, 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)

Optimal Topology Design for Distributed Generation Networks Considering Different Nodal Invulnerability Requirements. - Peng Jiao; Shengjun Huang; Bo Jiang; Tao Zhang 033 (Symmetry, 2022)

Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. - Wenhai Wan; Xinrui Wang 003; Ming-Kun Xie; Shengjun Huang; Songcan Chen; Shaoyuan Li (CoRR, 2023)

Multimodal multi-objective optimization: Comparative study of the state-of-the-art. - Wenhua Li; Tao Zhang 033; Rui Wang 017; Shengjun Huang; Jing Liang (Swarm Evol. Comput., 2023)

Inversion-DeepONet: A Novel DeepONet-Based Network with Encoder-Decoder for Full Waveform Inversion. - Zekai Guo; Lihui Chai; Shengjun Huang; Ye Li (CoRR, 2024)

Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons. - Binbin Ding; Penghui Yang 001; Zeqing Ge; Shengjun Huang (CoRR, 2024)

Advance in Significant Wave Height Prediction: A Comprehensive Survey. - Jinyuan Mo; Xianghan Wang; Shengjun Huang; Rui Wang 017 (Complex Syst. Model. Simul., 2024)

Multifactorial evolutionary algorithm for optimal reconfiguration capability of distribution networks. - Qingxia Li; Shengjun Huang; Xueyang Zhang; Wenhua Li; Rui Wang 017; Tao Zhang 033 (Swarm Evol. Comput., 2024)

Large-Scale Binary Matrix Optimization for Multimicrogrids Network Structure Design. - Wenhua Li; Rui Wang 017; Shengjun Huang; Tao Zhang 033; Ling Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Windshear Detection in Rain Using a 30 km Radius Coherent Doppler Wind Lidar at Mega Airport in Plateau. - Haiyun Xia; Yixiang Chen 002; Jinlong Yuan; Lian Su; Zhu Yuan; Shengjun Huang; Dexian Zhao (Remote. Sens., 2024)

Robust AUC maximization for classification with pairwise confidence comparisons. - Haochen Shi; Ming-Kun Xie; Shengjun Huang (Frontiers Comput. Sci., 2024)

KD-Crowd: a knowledge distillation framework for learning from crowds. - Shaoyuan Li; Yuxiang Zheng; Ye Shi 004; Shengjun Huang; Songcan Chen (Frontiers Comput. Sci., 2025)