Senzhang Wang(王森章)

Senzhang Wang(王森章)

Central South University

H-index: 41

Asia-China

About Senzhang Wang(王森章)

Senzhang Wang(王森章), With an exceptional h-index of 41 and a recent h-index of 38 (since 2020), a distinguished researcher at Central South University, specializes in the field of spatio-temporal data mining, graph data mining, urban computing.

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

Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges

Knowledge-based and data-driven underground pressure forecasting based on graph structure learning

XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting

Multispans: A multi-range spatial-temporal transformer network for traffic forecast via structural entropy optimization

SR-HetGNN: session-based recommendation with heterogeneous graph neural network

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs

Senzhang Wang(王森章) Information

University

Position

Professor

Citations(all)

5468

Citations(since 2020)

4780

Cited By

2013

hIndex(all)

41

hIndex(since 2020)

38

i10Index(all)

101

i10Index(since 2020)

90

Email

University Profile Page

Central South University

Google Scholar

View Google Scholar Profile

Senzhang Wang(王森章) Skills & Research Interests

spatio-temporal data mining

graph data mining

urban computing

Top articles of Senzhang Wang(王森章)

Title

Journal

Author(s)

Publication Date

Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction

International Journal of Machine Learning and Cybernetics

Jiangnan Xia

Senzhang Wang

Xiang Wang

Min Xia

Kun Xie

...

2024/1

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks

arXiv preprint arXiv:2402.07659

Yijie Zhang

Yuanchen Bei

Hao Chen

Qijie Shen

Zheng Yuan

...

2024/2/12

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges

arXiv preprint arXiv:2403.04468

Wei Ju

Siyu Yi

Yifan Wang

Zhiping Xiao

Zhengyang Mao

...

2024/3/7

Knowledge-based and data-driven underground pressure forecasting based on graph structure learning

International Journal of Machine Learning and Cybernetics

Yue Wang

Mingsheng Liu

Yongjian Huang

Haifeng Zhou

Xianhui Wang

...

2024/1

XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting

arXiv preprint arXiv:2402.02995

Xiang Wang

Renzhi Wang

Ningzi Hu

Pinqiang Wang

Peng Huo

...

2024/2/5

Multispans: A multi-range spatial-temporal transformer network for traffic forecast via structural entropy optimization

Dongcheng Zou

Senzhang Wang

Xuefeng Li

Hao Peng

Yuandong Wang

...

2024/3/4

SR-HetGNN: session-based recommendation with heterogeneous graph neural network

Knowledge and Information Systems

Jinpeng Chen

Haiyang Li

Xudong Zhang

Fan Zhang

Senzhang Wang

...

2024/2

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs

arXiv preprint arXiv:2402.16240

Peiyan Zhang

Chaozhuo Li

Liying Kang

Feiran Huang

Senzhang Wang

...

2024/2/26

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems

arXiv preprint arXiv:2401.14939

Hao Chen

Yuanchen Bei

Qijie Shen

Yue Xu

Sheng Zhou

...

2024/1/26

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks

Advances in Neural Information Processing Systems

Jun Yin

Chaozhuo Li

Hao Yan

Jianxun Lian

Senzhang Wang

2024/2/13

HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering

Knowledge-Based Systems

Kaiqi Gong

Xiao Song

Wenxin Li

Senzhang Wang

2024/1/11

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs

Advances in Neural Information Processing Systems

Senzhang Wang

Jun Yin

Chaozhuo Li

Xing Xie

Jianxin Wang

2024/2/13

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction

Traffic

Hao Miao

Senzhang Wang

Meiyue Zhang

Diansheng Guo

Funing Sun

...

2020

Beyond the overlapping users: cross-domain recommendation via adaptive anchor link learning

Yi Zhao

Chaozhuo Li

Jiquan Peng

Xiaohan Fang

Feiran Huang

...

2023/7/19

AdaMCT: adaptive mixture of CNN-transformer for sequential recommendation

Juyong Jiang

Peiyan Zhang

Yingtao Luo

Chaozhuo Li

Jae Boum Kim

...

2023/10/21

USFP: An unbalanced severe typhoon formation prediction framework based on transfer learning

Frontiers in Marine Science

Xiaotian Pan

Xiang Wang

Chengwu Zhao

Jianping Wu

Huizan Wang

...

2023/2/1

Multi-view Fused Spatial-temporal Dynamic Graph Convolutional Network for Urban Traffic Flow Prediction

Journal of Software

赵文竹, 袁冠, 张艳梅, 乔少杰, 王森章, 张雷

2023/9/11

Can Transformer and GNN Help Each Other?

arXiv preprint arXiv:2308.14355

Peiyan Zhang

Yuchen Yan

Chaozhuo Li

Senzhang Wang

Xing Xie

...

2023/8/28

WSiP: Wave superposition inspired pooling for dynamic interactions-aware trajectory prediction

Proceedings of the AAAI Conference on Artificial Intelligence

Renzhi Wang

Senzhang Wang

Hao Yan

Xiang Wang

2023/6/26

Diffuflow: Robust fine-grained urban flow inference with denoising diffusion model

Yuhao Zheng

Lian Zhong

Senzhang Wang

Yu Yang

Weixi Gu

...

2023/10/21

See List of Professors in Senzhang Wang(王森章) University(Central South University)

Co-Authors

H-index: 194
Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

H-index: 54
Chuan Shi

Chuan Shi

Beijing University of Posts and Telecommunications

H-index: 49
Zhoujun Li

Zhoujun Li

Beihang University

H-index: 42
Lifang He

Lifang He

Lehigh University

H-index: 41
Hao Peng

Hao Peng

Beihang University

H-index: 40
Jianxin Li

Jianxin Li

Beihang University

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