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ORCIDFeihu Huang 0002
Person information
- affiliation: Civil Aviation Flight University of China, School of Science, Guanghan, China
- affiliation (PhD 2019): Sichuan University, National Key Laboratory of Fundamental Science on Synthetic Vision, Chengdu, China
Other persons with the same name
- Feihu Huang 0001
![[0000-0003-0806-6074]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0806-6074")
— Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China (and 2 more) - Feihu Huang 0003 — Wuhan University of Science and Technology, College of Computer Science, China
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2020 – today
- 2024
[j15]Feihu Huang, Jince Wang, Peiyu Yi, Jian Peng, Xi Xiong, Yun Liu:
SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks. Inf. Sci. 674: 120730 (2024)- [j14]Peiyu Yi, Zhifeng Bao, Feihu Huang, Jince Wang, Jian Peng, Linghao Zhang:
Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach. IEEE Trans. Knowl. Data Eng. 36(12): 9403-9417 (2024) - [j13]Peiyu Yi, Feihu Huang, Jian Peng, Zhifeng Bao:
Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting. ACM Trans. Spatial Algorithms Syst. 10(4): 1-23 (2024) - [j12]Wen Huang, Ganglin Zhang, Yongjian Liao, Jian Peng, Feihu Huang, Julong Yang:
Secure Neural Network Prediction in the Cloud-Based Open Neural Network Service. IEEE Trans. Serv. Comput. 17(2): 659-673 (2024) - [c12]Feihu Huang, Peiyu Yi, Shan Li, Haiwen Xu:
Data Quality-based Gradient Optimization for Recurrent Neural Networks. WWW (Companion Volume) 2024: 1496-1501 - 2023
- [j11]Peiyu Yi, Feihu Huang, Jince Wang, Jian Peng:
Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit. Appl. Intell. 53(21): 24655-24670 (2023) - [j10]Junhao Huang, Ziming Wang, Jian Peng, Feihu Huang:
Feature reconstruction graph convolutional network for skeleton-based action recognition. Eng. Appl. Artif. Intell. 126: 106855 (2023) - [j9]Mengshi Li, Feihu Huang, Jian Peng:
Finding reinforced structural hole spanners in social networks via node embedding. Intell. Data Anal. 27(1): 297-318 (2023) - [j8]Ning Yang, Zhiqiang Zhang, Feihu Huang:
A study of BERT-based methods for formal citation identification of scientific data. Scientometrics 128(11): 5865-5881 (2023) - [j7]Jince Wang, Zibo He, Tianyu Geng, Feihu Huang, Pu Gong, Peiyu Yi, Jian Peng:
State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting. Sensors 23(2): 809 (2023) - [c11]Shan Li, Feihu Huang:
A Node Role Embedding Method Based on Neighborhood Clustering Coefficient. DSDE 2023: 1-5 - [c10]Huiqiang Wang, Jian Peng, Feihu Huang, Jince Wang, Junhui Chen, Yifei Xiao:
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting. ICLR 2023 - [c9]Xiaomei Shu, Jun He, Feihu Huang, Jian Peng:
Self-Supervised Learning Based on Similar Users for Sequential Recommendation. SMC 2023: 1678-1683 - 2022
- [j6]Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng, Xi Xiong:
A dynamical spatial-temporal graph neural network for traffic demand prediction. Inf. Sci. 594: 286-304 (2022) - [c8]Li Feng, Feihu Huang, Yan Zhang, Jinrong Hu:
Deep Learning Feature-Based Method for FY3 Image Inpainting. ICAIS (1) 2022: 251-263 - [c7]Yuan Niu, Feihu Huang, Hui Zhou, Jian Peng:
Deep Spatio-Temporal Method for ADHD Classification Using Resting-State fMRI. ICTAI 2022: 1082-1087 - [c6]Haoyu Xu, Feihu Huang, Jian Peng, Wenzheng Xu:
Intent-Aware Graph Neural Networks for Session-based Recommendation. IJCNN 2022: 1-8 - [c5]Chuan Sun, Feihu Huang, Jian Peng:
Node Information Awareness Pooling for Graph Representation Learning. PAKDD (1) 2022: 182-193 - [c4]Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng:
Time-Series Forecasting With Shape Attention*. SMC 2022: 3299-3304 - [i1]Julong Young, Huiqiang Wang, Junhui Chen, Feihu Huang, Jian Peng:
Split Time Series into Patches: Rethinking Long-term Series Forecasting with Dateformer. CoRR abs/2207.05397 (2022) - 2021
- [j5]Feihu Huang, Menglong Yang, Xuebin Lv, Fangrui Wu:
Cosmos-Loss: A Face Representation Approach With Independent Supervision. IEEE Access 9: 36819-36826 (2021) - [j4]Feihu Huang, Shaojie Qiao, Jian Peng, Bing Guo, Nan Han:
STPR: A Personalized Next Point-of-Interest Recommendation Model with Spatio-Temporal Effects Based on Purpose Ranking. IEEE Trans. Emerg. Top. Comput. 9(2): 994-1005 (2021) - [c3]Peiyu Yi, Feihu Huang, Jian Peng:
A Fine-grained Graph-based Spatiotemporal Network for Bike Flow Prediction in Bike-sharing Systems. SDM 2021: 513-521 - 2020
- [c2]Xinzheng Wang, Bing Guo, Yan Shen, Feihu Huang:
Social Relationship Mining Based on Student Data. EBIMCS 2020: 573-581
2010 – 2019
- 2019
- [j3]Menglong Yang, Feihu Huang, Xuebin Lv:
A feature learning approach for face recognition with robustness to noisy label based on top-N prediction. Neurocomputing 330: 48-55 (2019) - [j2]Feihu Huang, Shaojie Qiao, Jian Peng, Bing Guo:
A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System. IEEE Trans. Intell. Transp. Syst. 20(8): 2848-2857 (2019) - [c1]Feihu Huang, Menglong Yang, Xuebin Lyu, Fangrui Wu:
Improve-Center: A Deep Learning Face Representation Approach. FSDM 2019: 99-105 - 2018
- [j1]Tianyu Geng, Menglong Yang, Zhisheng You, Ying Cai, Feihu Huang:
Multiscale overlapping blocks binarized statistical image features descriptor with flip-free distance for face verification in the wild. Neural Comput. Appl. 30(10): 3243-3252 (2018)
Coauthor Index
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