Yuanshao Zhu

Orcid: 0000-0002-5657-181X

According to our database¹, Yuanshao Zhu authored at least 22 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2024

Large Language Model Empowered Embedding Generator for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Distilling Medication Recommendation Model.

[BibT_eX]

[DOI]

CoRR, 2024

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., August, 2023

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Traffic Prediction with Learnable Filter Module.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Model for GPS Trajectory Generation.

[BibT_eX]

[DOI]

CoRR, 2023

AutoDenoise: Automatic Data Instance Denoising for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model.

[BibT_eX]

[DOI]

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

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis.

[BibT_eX]

[DOI]

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

Data-Driven Methods for Travel Time Estimation: A Survey.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis.

[BibT_eX]

[DOI]

Yi Liu

Yuanshao Zhu

James J. Q. Yu

IEEE Trans. Netw. Sci. Eng., 2022

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

CatETA: A Categorical Approximate Approach for Estimating Time of Arrival.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

2021

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Transportation Mode Identification with Limited GPS Trajectories.

[BibT_eX]

[DOI]

Yuanshao Zhu

Christos Markos

James J. Q. Yu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Yuanshao Zhu

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