Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression. - Jing Yang 014; Yi Xu 005; Hai-Jun Rong; Shaoyi Du; Badong Chen (IEEE Access, 2018)

CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory. - Yi Xu 005; Jing Yang 014; Shaoyi Du (AAAI, 2020)

A Method for Wafer Defect Detection Using Spatial Feature Points Guided Affine Iterative Closest Point Algorithm. - Jing Yang 014; Yi Xu 005; Hai-Jun Rong; Shaoyi Du; Hongmei Zhang (IEEE Access, 2020)

A Feature-Cascaded Correntropy LSTM for Tourists Prediction. - Yuehai Chen; Jing Yang 014; Kun Zhang; Yi Xu 005; Yuewen Liu (IEEE Access, 2021)

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Yi Xu 005; Huan Wang 014; Yulun Zhang 001; Yun Fu 001 (CoRR, 2021)

SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation. - Yizhou Wang 006; Can Qin; Rongzhe Wei; Yi Xu 005; Yue Bai; Yun Fu 001 (CoRR, 2021)

Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network. - Yi Xu 005; Dongchun Ren; Mingxia Li; Yuehai Chen; Mingyu Fan; Huaxia Xia (IEEE Robotics Autom. Lett., 2021)

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. - Yizhou Wang 006; Can Qin; Rongzhe Wei; Yi Xu 005; Yue Bai; Yun Fu 001 (CIKM, 2022)

Adaptive Trajectory Prediction via Transferable GNN. - Yi Xu 005; Lichen Wang; Yizhou Wang 006; Yun Fu 001 (CVPR, 2022)

Making Reconstruction-based Method Great Again for Video Anomaly Detection. - Yizhou Wang 006; Can Qin; Yue Bai; Yi Xu 005; Xu Ma 005; Yun Fu 001 (ICDM, 2022)

MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. - Yi Xu 005; Lichen Wang; Yizhou Wang 006; Can Qin; Yulun Zhang 001; Yun Fu 001 (IJCAI, 2022)

Look More but Care Less in Video Recognition. - Yitian Zhang; Yue Bai; Huan Wang 014; Yi Xu 005; Yun Fu 001 (NeurIPS, 2022)

Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes. - Yanliang Zhu; Dongchun Ren; Yi Xu 005; Deheng Qian; Mingyu Fan; Xin Li; Huaxia Xia (ACM Trans. Intell. Syst. Technol., 2022)

AdamsFormer for Spatial Action Localization in the Future. - Hyung-Gun Chi; Kwonjoon Lee; Nakul Agarwal; Yi Xu 005; Karthik Ramani; Chiho Choi (CVPR, 2023)

Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction. - Yi Xu 005; Armin Bazarjani; Hyung-Gun Chi; Chiho Choi; Yun Fu 001 (CVPR, 2023)

Momentum is All You Need for Data-Driven Adaptive Optimization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Huan Wang 014; Yi Xu 005; Yulun Zhang 001; Yun Fu 001 (ICDM, 2023)

Layout Sequence Prediction From Noisy Mobile Modality. - Haichao Zhang 002; Yi Xu 005; Hongsheng Lu; Takayuki Shimizu; Yun Fu 001 (ACM Multimedia, 2023)

Latent Graph Inference with Limited Supervision. - Jianglin Lu; Yi Xu 005; Huan Wang 014; Yue Bai; Yun Fu 001 (NeurIPS, 2023)

OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising. - Haichao Zhang 002; Yi Xu 005; Hongsheng Lu; Takayuki Shimizu; Yun Fu 001 (CVPR, 2024)

Adapting to Length Shift: FlexiLength Network for Trajectory Prediction. - Yi Xu 005; Yun Fu 001 (CVPR, 2024)

Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent. - Yi Xu 005; Yun Fu 001 (CoRR, 2024)

SLA$^{{ text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation. - Yizhou Wang 006; Can Qin; Rongzhe Wei; Yi Xu 005; Yue Bai; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2024)