Xiangyu Zhao

Xiangyu Zhao

Michigan State University

H-index: 26

North America-United States

About Xiangyu Zhao

Xiangyu Zhao, With an exceptional h-index of 26 and a recent h-index of 26 (since 2020), a distinguished researcher at Michigan State University, specializes in the field of Data Mining, Machine Learning, Recommender System, Urban Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

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

Controltraj: Controllable trajectory generation with topology-constrained diffusion model

A comprehensive survey on automated machine learning for recommendations

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations

Xiangyu Zhao Information

University

Position

___

Citations(all)

2889

Citations(since 2020)

2765

Cited By

647

hIndex(all)

26

hIndex(since 2020)

26

i10Index(all)

43

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Xiangyu Zhao Skills & Research Interests

Data Mining

Machine Learning

Recommender System

Urban Computing

Top articles of Xiangyu Zhao

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information

Advances in Neural Information Processing Systems

2024/2/13

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations

Advances in Neural Information Processing Systems

2024/2/13

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

arXiv preprint arXiv:2404.18465

2024/4/29

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

Advances in Neural Information Processing Systems

2024/2/13

Controltraj: Controllable trajectory generation with topology-constrained diffusion model

arXiv preprint arXiv:2404.15380

2024/4/23

A comprehensive survey on automated machine learning for recommendations

2022/4/4

Bo Chen
Bo Chen

H-Index: 1

Xiangyu Zhao
Xiangyu Zhao

H-Index: 11

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention

arXiv preprint arXiv:2404.03637

2024/4/4

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

arXiv preprint arXiv:2403.12660

2024/3/19

Dynamically engineered multi-modal feature learning for predictions of office building cooling loads

Applied Energy

2024/2/1

Xiangyu Zhao
Xiangyu Zhao

H-Index: 11

Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions

2024/3/18

Cumulative Distribution Function based General Temporal Point Processes

arXiv preprint arXiv:2402.00388

2024/2/1

The 2nd Workshop on Recommendation with Generative Models

arXiv preprint arXiv:2403.04399

2024/3/7

SMLP4Rec: An Efficient all-MLP Architecture for Sequential Recommendations

ACM Transactions on Information Systems

2024/1/22

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation

arXiv preprint arXiv:2403.04278

2024/3/7

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation

2024/3/4

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

arXiv preprint arXiv:2403.01972

2024/3/4

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation

Knowledge and Information Systems

2024/1

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems

2024/3/4

Tensorized hypergraph neural networks

2024

See List of Professors in Xiangyu Zhao University(Michigan State University)

Co-Authors

academic-engine