Implementing Inductive bias for different navigation tasks through diverse RNN attrractors. - Tie Xu; Omri Barak (ICLR, 2020)

Fast and Low-Drift Visual Odometry With Improved RANSAC-Based Outlier Removal Scheme for Intelligent Vehicles. - Wenyan Ci; Tianxiang Xu; Tie Xu; Xialai Wu; Shan Lu 009 (IEEE Access, 2022)

The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition. - Zihao Zhao; Yanhong Wang; Qiaosha Zou; Tie Xu; Fangbo Tao; Jiansong Zhang 001; Xiaoan Wang; Chuanjin Richard Shi; Junwen Luo; Yuan Xie 001 (CoRR, 2022)

Incorporating Task-Specific Concept Knowledge into Script Learning. - Chenkai Sun; Tie Xu; Chengxiang Zhai; Heng Ji 001 (EACL, 2023)

Reservoir Computing in Rehabilitation Video Analyses. - Dongping Yang; Tie Xu; Feng Lin (CIS-RAM, 2023)

A Novel Method for Obstacle Detection in Front of Vehicles Based on the Local Spatial Features of Point Cloud. - Wenyan Ci; Tie Xu; Runze Lin; Shan Lu 009; Xialai Wu; Jiayin Xuan (Remote. Sens., 2023)

Dual-Domain Attention Based Adaptive Graph Convolutional Network for EEG Emotion Recognition. - Tie Xu; Tong Zhang 015; Bianna Chen; C. L. Philip Chen (SMC, 2024)

GraphBrep: Learning B-Rep in Graph Structure for Efficient CAD Generation. - Weilin Lai; Tie Xu; Hu Wang (CoRR, 2025)