Estimation of functional-coefficient autoregressive models with measurement error. - Pei Geng (J. Multivar. Anal., 2022)

Adaptive multi-level graph convolution with contrastive learning for skeleton-based action recognition. - Pei Geng; Haowei Li; Fuyun Wang; Lei Lyu 001 (Signal Process., 2022)

Focusing Fine-Grained Action by Self-Attention-Enhanced Graph Neural Networks With Contrastive Learning. - Pei Geng; Xuequan Lu; Chunyu Hu 001; Hong Liu 013; Lei Lyu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multimodal functional deep learning for multiomics data. - Yuan Zhou; Pei Geng; Shan Zhang; Feifei Xiao; Guoshuai Cai; Li Chen; Qing Lu 004 (Briefings Bioinform., 2024)

SoccerNet 2024 Challenges Results. - Anthony Cioppa; Silvio Giancola; Vladimir Somers; Victor Joos; Floriane Magera; Jan Held; Seyed Abolfazl Ghasemzadeh; Xin Zhou 024; Karolina Seweryn; Mateusz Kowalczyk; Zuzanna Mróz; Szymon Lukasik; et al. (CoRR, 2024)

Variation-aware directed graph convolutional networks for skeleton-based action recognition. - Tianchen Li; Pei Geng; Guohui Cai; Xinran Hou; Xuequan Lu; Lei Lyu 001 (Knowl. Based Syst., 2024)

Functional Neural Networks for High-Dimensional Genetic Data Analysis. - Shan Zhang; Yuan Zhou; Pei Geng; Qing Lu 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Hierarchical Aggregated Graph Neural Network for Skeleton-Based Action Recognition. - Pei Geng; Xuequan Lu; Wanqing Li 001; Lei Lyu 001 (IEEE Trans. Multim., 2024)

HORP: Human-Object Relation Priors Guided HOI Detection. - Pei Geng; Jian Yang 003; Shanshan Zhang 001 (CVPR, 2025)

Skeleton-based action recognition through attention guided heterogeneous graph neural network. - Tianchen Li; Pei Geng; Xuequan Lu; Wanqing Li 001; Lei Lyu 001 (Knowl. Based Syst., 2025)

Sparse and Dense: Learning Confusion Representation Network for 3-D Action Recognition. - Xinran Hou; Pei Geng; Tianchen Li; Yalin Li; Yan Li 046; Lei Lyu 001 (IEEE Internet Things J., 2025)