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 002 (Neural Comput. Appl., 2018)

Improve-Center: A Deep Learning Face Representation Approach. - Feihu Huang 002; Menglong Yang; Xuebin Lyu; Fangrui Wu (FSDM, 2019)

A feature learning approach for face recognition with robustness to noisy label based on top-N prediction. - Menglong Yang; Feihu Huang 002; Xuebin Lv (Neurocomputing, 2019)

A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System. - Feihu Huang 002; Shaojie Qiao; Jian Peng 002; Bing Guo (IEEE Trans. Intell. Transp. Syst., 2019)

Social Relationship Mining Based on Student Data. - Xinzheng Wang; Bing Guo; Yan Shen 001; Feihu Huang 002 (EBIMCS, 2020)

A Fine-grained Graph-based Spatiotemporal Network for Bike Flow Prediction in Bike-sharing Systems. - Peiyu Yi; Feihu Huang 002; Jian Peng 002 (SDM, 2021)

Cosmos-Loss: A Face Representation Approach With Independent Supervision. - Feihu Huang 002; Menglong Yang; Xuebin Lv; Fangrui Wu (IEEE Access, 2021)

STPR: A Personalized Next Point-of-Interest Recommendation Model with Spatio-Temporal Effects Based on Purpose Ranking. - Feihu Huang 002; Shaojie Qiao; Jian Peng 002; Bing Guo; Nan Han (IEEE Trans. Emerg. Top. Comput., 2021)

Deep Learning Feature-Based Method for FY3 Image Inpainting. - Li Feng; Feihu Huang 002; Yan Zhang; Jinrong Hu (ICAIS (1), 2022)

Deep Spatio-Temporal Method for ADHD Classification Using Resting-State fMRI. - Yuan Niu; Feihu Huang 002; Hui Zhou; Jian Peng 002 (ICTAI, 2022)

Intent-Aware Graph Neural Networks for Session-based Recommendation. - Haoyu Xu; Feihu Huang 002; Jian Peng 002; Wenzheng Xu (IJCNN, 2022)

Node Information Awareness Pooling for Graph Representation Learning. - Chuan Sun; Feihu Huang 002; Jian Peng 002 (PAKDD (1), 2022)

Time-Series Forecasting With Shape Attention*. - Feihu Huang 002; Peiyu Yi; Jince Wang; Mengshi Li; Jian Peng 002 (SMC, 2022)

Split Time Series into Patches: Rethinking Long-term Series Forecasting with Dateformer. - Julong Young; Huiqiang Wang; Junhui Chen; Feihu Huang 002; Jian Peng 002 (CoRR, 2022)

A dynamical spatial-temporal graph neural network for traffic demand prediction. - Feihu Huang 002; Peiyu Yi; Jince Wang; Mengshi Li; Jian Peng 002; Xi Xiong (Inf. Sci., 2022)

A Node Role Embedding Method Based on Neighborhood Clustering Coefficient. - Shan Li; Feihu Huang 002 (DSDE, 2023)

MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting. - Huiqiang Wang; Jian Peng 002; Feihu Huang 002; Jince Wang; Junhui Chen; Yifei Xiao (ICLR, 2023)

Self-Supervised Learning Based on Similar Users for Sequential Recommendation. - Xiaomei Shu; Jun He; Feihu Huang 002; Jian Peng 002 (SMC, 2023)

Finding reinforced structural hole spanners in social networks via node embedding. - Mengshi Li; Feihu Huang 002; Jian Peng 002 (Intell. Data Anal., 2023)

State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting. - Jince Wang; Zibo He; Tianyu Geng; Feihu Huang 002; Pu Gong; Peiyu Yi; Jian Peng 002 (Sensors, 2023)

Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit. - Peiyu Yi; Feihu Huang 002; Jince Wang; Jian Peng 002 (Appl. Intell., 2023)

Feature reconstruction graph convolutional network for skeleton-based action recognition. - Junhao Huang; Ziming Wang; Jian Peng 002; Feihu Huang 002 (Eng. Appl. Artif. Intell., 2023)

A study of BERT-based methods for formal citation identification of scientific data. - Ning Yang; Zhiqiang Zhang; Feihu Huang 002 (Scientometrics, 2023)

Data Quality-based Gradient Optimization for Recurrent Neural Networks. - Feihu Huang 002; Peiyu Yi; Shan Li; Haiwen Xu (WWW (Companion Volume), 2024)

SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks. - Feihu Huang 002; Jince Wang; Peiyu Yi; Jian Peng 002; Xi Xiong; Yun Liu 002 (Inf. Sci., 2024)

Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting. - Peiyu Yi; Feihu Huang 002; Jian Peng 002; Zhifeng Bao (ACM Trans. Spatial Algorithms Syst., 2024)

Secure Neural Network Prediction in the Cloud-Based Open Neural Network Service. - Wen Huang 002; Ganglin Zhang; Yongjian Liao; Jian Peng 002; Feihu Huang 002; Julong Yang (IEEE Trans. Serv. Comput., 2024)

Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach. - Peiyu Yi; Zhifeng Bao; Feihu Huang 002; Jince Wang; Jian Peng 002; Linghao Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update. - Zikun Zhou; Wen Huang 002; Xingyi Wang; Zhishuo Zhang; Zhun Zhang; Jian Peng 002; Feihu Huang 002 (AAAI, 2025)

Information enhancement graph representation learning. - Jince Wang; Jian Peng 002; Feihu Huang 002; Sirui Liao; Pengxiang Zhan; Peiyu Yi (Pattern Recognit. Lett., 2025)

Intention-aware neural networks with session disentanglement for noise filtering in session-based recommendation. - Feihu Huang 002; Haoyu Xu; Ning Yang; Jince Wang; Peiyu Yi; Yuan Jiang (Appl. Intell., 2025)