Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation. - Jingyu Zhao 001; Yanwen Fang; Guodong Li (NeurIPS, 2021)

CNN-based Realized Covariance Matrix Forecasting. - Yanwen Fang; Philip L. H. Yu; Yaohua Tang (CoRR, 2021)

Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation. - Wenming Cao 004; Philip L. H. Yu; Gilbert C. S. Lui; Wan Hang Keith Chiu; Ho-Ming Cheng; Yanwen Fang; Man-Fung Yuen; Wai-Kay Seto (CoRR, 2021)

TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing. - Jintai Chen; Kuanlun Liao; Yanwen Fang; Danny Z. Chen; Jian Wu 001 (ICLR, 2023)

Cross-Layer Retrospective Retrieving via Layer Attention. - Yanwen Fang; Yuxi Cai; Jintai Chen; Jingyu Zhao 001; Guangjian Tian; Guodong Li (ICLR, 2023)

Encoding Recurrence into Transformers. - Feiqing Huang; Kexin Lu; Yuxi Cai; Zhen Qin; Yanwen Fang; Guangjian Tian; Guodong Li (ICLR, 2023)

PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction. - Yanwen Fang; Chao Li; Jintai Chen; Peng-Tao Jiang; Yifeng Geng; Xuansong Xie; Eddy K. F. Lam; Guodong Li (CoRR, 2023)

Decoupling-Enhanced Vietnamese Speech Recognition Accent Adaptation Supervised by Prosodic Domain Information. - Yanwen Fang; Wenjun Wang; Ling Dong; Shengxiang Gao; Hua Lai; Zhengtao Yu 001 (IJCNN, 2024)

DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting. - Qinshuo Liu; Yanwen Fang; Pengtao Jiang; Guodong Li (CoRR, 2024)

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics. - Qinshuo Liu; Weiqin Zhao; Wei Huang; Yanwen Fang; Lequan Yu; Guodong Li (ICLR, 2025)

A Heart Rate Measurement Model Based on Koopman Predictors With FMCW Radar. - Congsheng Li; Di Wang; Lei Yang; Min Wei; Yanwen Fang; Zhongcai Liao (IEEE Trans. Instrum. Meas., 2025)