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

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

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

Controltraj: Controllable trajectory generation with topology-constrained diffusion model

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation

The 2nd Workshop on Recommendation with Generative Models

A comprehensive survey on automated machine learning for 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

Michigan State University

Google Scholar

View Google Scholar Profile

Xiangyu Zhao Skills & Research Interests

Data Mining

Machine Learning

Recommender System

Urban Computing

Top articles of Xiangyu Zhao

Title

Journal

Author(s)

Publication Date

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information

Advances in Neural Information Processing Systems

Zitao Liu

Qiongqiong Liu

Teng Guo

Jiahao Chen

Shuyan Huang

...

2024/2/13

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

Dugang Liu

Chaohua Yang

Xing Tang

Yejing Wang

Fuyuan Lyu

...

2024/3/4

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

Xiangjie Kong

Juntao Wang

Zehao Hu

Yuwei He

Xiangyu Zhao

...

2024/3/18

Controltraj: Controllable trajectory generation with topology-constrained diffusion model

arXiv preprint arXiv:2404.15380

Yuanshao Zhu

James Jianqiao Yu

Xiangyu Zhao

Qidong Liu

Yongchao Ye

...

2024/4/23

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation

Knowledge and Information Systems

Ziru Liu

Kecheng Chen

Fengyi Song

Bo Chen

Xiangyu Zhao

...

2024/1

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation

arXiv preprint arXiv:2402.10468

Xinjian Zhao

Liang Zhang

Yang Liu

Ruocheng Guo

Xiangyu Zhao

2024/2/16

The 2nd Workshop on Recommendation with Generative Models

arXiv preprint arXiv:2403.04399

Wenjie Wang

Yang Zhang

Xinyu Lin

Fuli Feng

Weiwen Liu

...

2024/3/7

A comprehensive survey on automated machine learning for recommendations

Bo Chen

Xiangyu Zhao

Yejing Wang

Wenqi Fan

Huifeng Guo

...

2022/4/4

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

Advances in Neural Information Processing Systems

Haoran Yang

Xiangyu Zhao

Yicong Li

Hongxu Chen

Guandong Xu

2024/2/13

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

Applied Energy

Yiren Liu

Xiangyu Zhao

S Joe Qin

2024/2/1

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation

arXiv preprint arXiv:2403.04278

Chi Zhang

Qilong Han

Rui Chen

Xiangyu Zhao

Peng Tang

...

2024/3/7

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models

arXiv preprint arXiv:2402.18099

Derong Xu

Ziheng Zhang

Zhihong Zhu

Zhenxi Lin

Qidong Liu

...

2024/2/28

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

arXiv preprint arXiv:2404.03637

Ziru Liu

Shuchang Liu

Zijian Zhang

Qingpeng Cai

Xiangyu Zhao

...

2024/4/4

Tensorized hypergraph neural networks

Maolin Wang

Yaoming Zhen

Yu Pan

Zenglin Xu

Ruocheng Guo

...

2024

Rethinking Large Language Model Architectures for Sequential Recommendations

arXiv preprint arXiv:2402.09543

Hanbing Wang

Xiaorui Liu

Wenqi Fan

Xiangyu Zhao

Venkataramana Kini

...

2024/2/14

Cumulative Distribution Function based General Temporal Point Processes

arXiv preprint arXiv:2402.00388

Maolin Wang

Yu Pan

Zenglin Xu

Ruocheng Guo

Xiangyu Zhao

...

2024/2/1

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

Yuhao Wang

Ziru Liu

Yichao Wang

Xiangyu Zhao

Bo Chen

...

2024/3/4

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

Proceedings of the AAAI Conference on Artificial Intelligence

Pengyue Jia

Yichao Wang

Shanru Lin

Xiaopeng Li

Xiangyu Zhao

...

2024/3/24

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

Advances in Neural Information Processing Systems

Yuanshao Zhu

Yongchao Ye

Ying Wu

Xiangyu Zhao

James Yu

2024/2/13

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation

arXiv preprint arXiv:2402.17334

Jiaxi Hu

Jingtong Gao

Xiangyu Zhao

Yuehong Hu

Yuxuan Liang

...

2024/2/27

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

Co-Authors

H-index: 89
Jiliang Tang

Jiliang Tang

Michigan State University

H-index: 88
Hui Xiong, Fellow of AAAS and IEEE

Hui Xiong, Fellow of AAAS and IEEE

Rutgers, The State University of New Jersey

H-index: 79
Enhong Chen

Enhong Chen

University of Science and Technology of China

H-index: 64
Weinan Zhang

Weinan Zhang

Shanghai Jiao Tong University

H-index: 53
Yongfeng Zhang

Yongfeng Zhang

Rutgers, The State University of New Jersey

H-index: 33
Tong Xu

Tong Xu

University of Science and Technology of China

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