Yanyan Shen

Yanyan Shen

Shanghai Jiao Tong University

H-index: 24

Asia-China

About Yanyan Shen

Yanyan Shen, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Big data analytics, spatio-temporal data mining, data-driven machine learning.

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

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators

STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically

Master: Market-guided stock transformer for stock price forecasting

StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting

Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees

RESUS: Warm-up cold users via meta-learning residual user preferences in CTR prediction

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting

Feature staleness aware incremental learning for CTR prediction

Yanyan Shen Information

University

Position

___

Citations(all)

2655

Citations(since 2020)

1965

Cited By

1391

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

40

i10Index(since 2020)

40

Email

University Profile Page

Shanghai Jiao Tong University

Google Scholar

View Google Scholar Profile

Yanyan Shen Skills & Research Interests

Big data analytics

spatio-temporal data mining

data-driven machine learning

Top articles of Yanyan Shen

Title

Journal

Author(s)

Publication Date

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators

arXiv preprint arXiv:2401.17548

Lifan Zhao

Yanyan Shen

2024/1/31

STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically

Proceedings of the ACM on Management of Data

Jingzhi Fang

Yanyan Shen

Yue Wang

Lei Chen

2024/3/26

Master: Market-guided stock transformer for stock price forecasting

Proceedings of the AAAI Conference on Artificial Intelligence

Tong Li

Zhaoyang Liu

Yanyan Shen

Xue Wang

Haokun Chen

...

2024/3/25

StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting

Proceedings of the AAAI Conference on Artificial Intelligence

Jinyong Fan

Yanyan Shen

2024/3/24

Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees

Proceedings of the ACM on Management of Data

Yiming Li

Yanyan Shen

Lei Chen

Mingxuan Yuan

2023/5/30

RESUS: Warm-up cold users via meta-learning residual user preferences in CTR prediction

ACM Transactions on Information Systems

Yanyan Shen

Lifan Zhao

Weiyu Cheng

Zibin Zhang

Wenwen Zhou

...

2023/2/7

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting

Lifan Zhao

Shuming Kong

Yanyan Shen

2023/8/6

Feature staleness aware incremental learning for CTR prediction

Zhikai Wang

Yanyan Shen

Zibin Zhang

Kangyi Lin

2023/8/19

TE-DyGE: Temporal Evolution-Enhanced Dynamic Graph Embedding Network

Liping Wang

Yanyan Shen

Lei Chen

2023/4/15

Towards fine-grained explainability for heterogeneous graph neural network

Proceedings of the AAAI Conference on Artificial Intelligence

Tong Li

Jiale Deng

Yanyan Shen

Luyu Qiu

Huang Yongxiang

...

2023/6/26

Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank

Proceedings of the VLDB Endowment

Yiming Li

Yanyan Shen

Lei Chen

Mingxuan Yuan

2023/2/1

Human-in-the-loop vehicle ReID

Proceedings of the AAAI Conference on Artificial Intelligence

Zepeng Li

Dongxiang Zhang

Yanyan Shen

Gang Chen

2023/6/26

Rainfall Spatial Interpolation with Graph Neural Networks

Jia Li

Yanyan Shen

Lei Chen

Charles Wang Wai Ng

2023/4/14

Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey

Liping Wang

Jiawei Li

Lifan Zhao

Zhizhuo Kou

Xiaohan Wang

...

2023/8/9

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU

Proceedings of the ACM on Management of Data

Xin Zhang

Yanyan Shen

Yingxia Shao

Lei Chen

2023/6/20

HIT-An Effective Approach to Build a Dynamic Financial Knowledge Base

Xinyi Zhu

Hao Xin

Yanyan Shen

Lei Chen

2023/4/14

Narrow the Input Mismatch in Deep Graph Neural Network Distillation

Qiqi Zhou

Yanyan Shen

Lei Chen

2023/8/6

SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation

Proceedings of the ACM on Management of Data

Jia Li

Yanyan Shen

Lei Chen

Charles Wang Wai Ng

2023/6/20

Diga: Guided diffusion model for graph recovery in anti-money laundering

Xujia Li

Yuan Li

Xueying Mo

Hebing Xiao

Yanyan Shen

...

2023/8/6

Incremental learning for multi-interest sequential recommendation

Zhikai Wang

Yanyan Shen

2023/4/3

See List of Professors in Yanyan Shen University(Shanghai Jiao Tong University)