Yingjie Tian

Orcid: 0000-0002-4655-6990

Affiliations:
  • Shanghai Electric Power Research Institute, China


According to our database1, Yingjie Tian authored at least 11 papers between 2017 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Efficient Multi-Source Self-Attention Data Fusion for FDIA Detection in Smart Grid.
Symmetry, April, 2023

Multi-Prompt with Depth Partitioned Cross-Modal Learning.
CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Message-passing Selection: Towards Interpretable GNNs for Graph Classification.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Improving Anomaly Detection in Smart Grid Big Data with Knowledge Graphs.
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021
Predicting the Power Consumption and Operating Rate of Enterprises in Major Public Events.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

2020
Research on Edge Intelligence-based Security Analysis Method for Power Operation System.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

2019
Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Incremental Discovery of Order Dependencies on Tuple Insertions.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Spatio-Temporal Analysis and Forecasting of Distributed PV Systems Diffusion: A Case Study of Shanghai Using a Data-Driven Approach.
IEEE Access, 2017


  Loading...