Chenxin Xu

Orcid: 0009-0008-2799-8508

According to our database1, Chenxin Xu authored at least 16 papers between 2021 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

On csauthors.net:

Bibliography

2024
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.
CoRR, 2024

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents.
CoRR, 2024

Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning.
IEEE Trans. Signal Process., 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration.
Proceedings of the International Conference on Machine Learning, 2023

Compatible Transformer for Irregularly Sampled Multivariate Time Series.
Proceedings of the IEEE International Conference on Data Mining, 2023

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Joint-Relation Transformer for Multi-Person Motion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Leapfrog Diffusion Model for Stochastic Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning.
CoRR, 2022

Remember Intentions: Retrospective-Memory-based Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks.
Proceedings of the ICC 2021, 2021

Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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