Yi Xu

According to our database, Yi Xu authored at least 31 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Gaussian Mixture Conditional Variational Recurrent Neural Network for Unified Trajectory Imputation and Prediction.

Yi Xu, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

2025

SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense.

Yiyang Huang, Liang Shi, Yitian Zhang, Yi Xu, Yun Fu

CoRR, October, 2025

A Trajectory Generator for High-Density Traffic and Diverse Agent-Interaction Scenarios.

Ruining Yang, Yi Xu, Yixiao Chen, Yun Fu, Lili Su

CoRR, October, 2025

Out-of-Sight Trajectories: Tracking, Fusion, and Prediction.

Haichao Zhang, Yi Xu, Yun Fu

CoRR, September, 2025

Trajectory Prediction Meets Large Language Models: A Survey.

Yi Xu, Ruining Yang, Yitian Zhang, Yizhou Wang, Jianglin Lu, Mingyuan Zhang, Lili Su, Yun Fu

CoRR, June, 2025

Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports.

Yi Xu, Yun Fu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning.

Yi Xu, Yitian Zhang, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2025

AdaSports-Traj: Role- and Domain-Aware Adaptation for Multi-Agent Trajectory Modeling in Sports.

Yi Xu, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2025

Representation Potentials of Foundation Models for Multimodal Alignment: A Survey.

Jianglin Lu, Hailing Wang, Yi Xu, Yizhou Wang, Kuo Yang, Yun Fu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

SLA$^{{\text{2}}}$2P: Self-Supervised Anomaly Detection With Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

IEEE Trans. Knowl. Data Eng., December, 2024

Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent.

Yi Xu, Yun Fu

CoRR, 2024

Adapting to Length Shift: FlexiLength Network for Trajectory Prediction.

Yi Xu, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising.

Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Latent Graph Inference with Limited Supervision.

Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Layout Sequence Prediction From Noisy Mobile Modality.

Haichao Zhang, Yi Xu, Hongsheng Lu, Takayuki Shimizu, Yun Fu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Momentum is All You Need for Data-Driven Adaptive Optimization.

Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction.

Yi Xu, Armin Bazarjani, Hyung-Gun Chi, Chiho Choi, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdamsFormer for Spatial Action Localization in the Future.

Hyung-Gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes.

Yanliang Zhu, Dongchun Ren, Yi Xu, Deheng Qian, Mingyu Fan, Xin Li, Huaxia Xia

ACM Trans. Intell. Syst. Technol., 2022

Look More but Care Less in Video Recognition.

Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning.

Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Making Reconstruction-based Method Great Again for Video Anomaly Detection.

Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2022

Adaptive Trajectory Prediction via Transferable GNN.

Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network.

Yi Xu, Dongchun Ren, Mingxia Li, Yuehai Chen, Mingyu Fan, Huaxia Xia

IEEE Robotics Autom. Lett., 2021

SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.

Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu

CoRR, 2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization.

Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu

CoRR, 2021

A Feature-Cascaded Correntropy LSTM for Tourists Prediction.

Yuehai Chen, Jing Yang, Kun Zhang, Yi Xu, Yuewen Liu

IEEE Access, 2021

2020

A Method for Wafer Defect Detection Using Spatial Feature Points Guided Affine Iterative Closest Point Algorithm.

Jing Yang, Yi Xu, Hai-Jun Rong, Shaoyi Du, Hongmei Zhang

IEEE Access, 2020

CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory.

Yi Xu, Jing Yang, Shaoyi Du

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression.

Jing Yang, Yi Xu, Hai-Jun Rong, Shaoyi Du, Badong Chen

IEEE Access, 2018