Yi Xu

Orcid: 0000-0001-5857-4179

Affiliations:
  • Northeastern University, Boston, MA, USA
  • Xi'an Jiaotong University, School of Automation Science and Engineering, China (former)


According to our database1, Yi Xu authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Deciphering Movement: Unified Trajectory Generation Model for Multi-Agent.
CoRR, 2024

Adapting to Length Shift: FlexiLength Network for Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Latent Graph Inference with Limited Supervision.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Momentum is All You Need for Data-Driven Adaptive Optimization.
Proceedings of the IEEE International Conference on Data Mining, 2023

Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdamsFormer for Spatial Action Localization in the Future.
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.
ACM Trans. Intell. Syst. Technol., 2022

Look More but Care Less in Video Recognition.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Making Reconstruction-based Method Great Again for Video Anomaly Detection.
Proceedings of the IEEE International Conference on Data Mining, 2022

Adaptive Trajectory Prediction via Transferable GNN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection.
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.
IEEE Robotics Autom. Lett., 2021

SLA<sup>2</sup>P: Self-supervised Anomaly Detection with Adversarial Perturbation.
CoRR, 2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization.
CoRR, 2021

A Feature-Cascaded Correntropy LSTM for Tourists Prediction.
IEEE Access, 2021

2020
A Method for Wafer Defect Detection Using Spatial Feature Points Guided Affine Iterative Closest Point Algorithm.
IEEE Access, 2020

CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression.
IEEE Access, 2018


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