Feihu Huang

According to our database, Feihu Huang authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

Secure Neural Network Prediction in the Cloud-Based Open Neural Network Service.

Wen Huang, Ganglin Zhang, Yongjian Liao, Jian Peng, Feihu Huang, Julong Yang

IEEE Trans. Serv. Comput., 2024

SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks.

Feihu Huang, Jince Wang, Peiyu Yi, Jian Peng, Xi Xiong, Yun Liu

Inf. Sci., 2024

Data Quality-based Gradient Optimization for Recurrent Neural Networks.

Feihu Huang, Peiyu Yi, Shan Li, Haiwen Xu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

A study of BERT-based methods for formal citation identification of scientific data.

Ning Yang, Zhiqiang Zhang, Feihu Huang

Scientometrics, November, 2023

Feature reconstruction graph convolutional network for skeleton-based action recognition.

Junhao Huang, Ziming Wang, Jian Peng, Feihu Huang

Eng. Appl. Artif. Intell., November, 2023

Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit.

Peiyu Yi, Feihu Huang, Jince Wang, Jian Peng

Appl. Intell., November, 2023

State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting.

Jince Wang, Zibo He, Tianyu Geng, Feihu Huang, Pu Gong, Peiyu Yi, Jian Peng

Sensors, January, 2023

Finding reinforced structural hole spanners in social networks via node embedding.

Mengshi Li, Feihu Huang, Jian Peng

Intell. Data Anal., 2023

Self-Supervised Learning Based on Similar Users for Sequential Recommendation.

Xiaomei Shu, Jun He, Feihu Huang, Jian Peng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting.

Huiqiang Wang, Jian Peng, Feihu Huang, Jince Wang, Junhui Chen, Yifei Xiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Node Role Embedding Method Based on Neighborhood Clustering Coefficient.

Shan Li, Feihu Huang

Proceedings of the 6th International Conference on Data Storage and Data Engineering, 2023

2022

A dynamical spatial-temporal graph neural network for traffic demand prediction.

Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng, Xi Xiong

Inf. Sci., 2022

Split Time Series into Patches: Rethinking Long-term Series Forecasting with Dateformer.

Julong Young, Huiqiang Wang, Junhui Chen, Feihu Huang, Jian Peng

CoRR, 2022

Time-Series Forecasting With Shape Attention^*.

Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Node Information Awareness Pooling for Graph Representation Learning.

Chuan Sun, Feihu Huang, Jian Peng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Intent-Aware Graph Neural Networks for Session-based Recommendation.

Haoyu Xu, Feihu Huang, Jian Peng, Wenzheng Xu

Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Spatio-Temporal Method for ADHD Classification Using Resting-State fMRI.

Yuan Niu, Feihu Huang, Hui Zhou, Jian Peng

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Deep Learning Feature-Based Method for FY3 Image Inpainting.

Li Feng, Feihu Huang, Yan Zhang, Jinrong Hu

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021

STPR: A Personalized Next Point-of-Interest Recommendation Model with Spatio-Temporal Effects Based on Purpose Ranking.

Feihu Huang, Shaojie Qiao, Jian Peng, Bing Guo, Nan Han

IEEE Trans. Emerg. Top. Comput., 2021

Cosmos-Loss: A Face Representation Approach With Independent Supervision.

Feihu Huang, Menglong Yang, Xuebin Lv, Fangrui Wu

IEEE Access, 2021

A Fine-grained Graph-based Spatiotemporal Network for Bike Flow Prediction in Bike-sharing Systems.

Peiyu Yi, Feihu Huang, Jian Peng

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Social Relationship Mining Based on Student Data.

Xinzheng Wang, Bing Guo, Yan Shen, Feihu Huang

Proceedings of the EBIMCS 2020: 3rd International Conference on E-Business, 2020

2019

A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System.

Feihu Huang, Shaojie Qiao, Jian Peng, Bing Guo

IEEE Trans. Intell. Transp. Syst., 2019

A feature learning approach for face recognition with robustness to noisy label based on top-<i>N</i> prediction.

Menglong Yang, Feihu Huang, Xuebin Lv

Neurocomputing, 2019

Improve-Center: A Deep Learning Face Representation Approach.

Feihu Huang, Menglong Yang, Xuebin Lyu, Fangrui Wu

Proceedings of the Fuzzy Systems and Data Mining V, 2019

2018

Multiscale overlapping blocks binarized statistical image features descriptor with flip-free distance for face verification in the wild.

Tianyu Geng, Menglong Yang, Zhisheng You, Ying Cai, Feihu Huang

Neural Comput. Appl., 2018