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Yingjie Tian 0002
Person information
- affiliation: Shanghai Electric Power Research Institute, China
Other persons with the same name
- Yingjie Tian
- Yingjie Tian 0001 (aka: Ying-jie Tian 0001, Ying-Jie Tian 0001, Ying Jie Tian 0001) — University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China (and 1 more)
- Yingjie Tian 0003 — Wuhan University, LIEMARS, China
- Yingjie Tian 0004 — University of South China, School of Computer Sciences, Hengyang, China
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2020 – today
- 2024
- [c11]Mengyuan Zhang, Yingying Zhao, Yingjie Tian:
Research on Production Capacity Utilization Index Based on Electricity Big Data. BigDataSecurity 2024: 135-138 - [c10]Yingying Zhao, Naiwang Guo, Yi Wu, Yingjie Tian, Yun Su:
Leveraging Electric Power Data for Enhanced Credit Assessment and Risk Control: A Framework for Data Monetization and Innovation. CSCloud 2024: 153-158 - [c9]Yanjun Xu, Chenlan Ji, Xiaocun Wang, Yingjie Tian:
Evaluation of Distribution Network Asset Effectiveness and Investment Decision-Making: A Study Based on the Multidimensional Lean Management System. HPSC 2024: 54-59 - 2023
- [j2]Yi Wu, Qiankuan Wang, Naiwang Guo, Yingjie Tian, Fengyong Li, Xiangjing Su:
Efficient Multi-Source Self-Attention Data Fusion for FDIA Detection in Smart Grid. Symmetry 15(5): 1019 (2023) - [c8]Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su:
Message-passing Selection: Towards Interpretable GNNs for Graph Classification. Tiny Papers @ ICLR 2023 - [c7]Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. KDD 2023: 237-249 - [i2]Yiqi Wang, Xianda Guo, Zheng Zhu, Yingjie Tian:
Multi-Prompt with Depth Partitioned Cross-Modal Learning. CoRR abs/2305.06221 (2023) - [i1]Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Yingjie Tian, Yun Su, Mingli Song:
Message-passing selection: Towards interpretable GNNs for graph classification. CoRR abs/2306.02081 (2023) - 2022
- [c6]Yingying Zhao, Haoyu Sun, Naiwang Guo, Yi Wu, Yingjie Tian, Dawei Cheng:
Improving Anomaly Detection in Smart Grid Big Data with Knowledge Graphs. EITCE 2022: 707-711 - 2021
- [c5]Zheng Zhu, Yingjie Tian, Hongshan Yang:
Predicting the Power Consumption and Operating Rate of Enterprises in Major Public Events. EITCE 2021: 921-925 - 2020
- [c4]Zheng Zhu, Yingjie Tian, Fan Li, Hongshan Yang, Zheng Ma, Guoping Rong:
Research on Edge Intelligence-based Security Analysis Method for Power Operation System. CSCloud/EdgeCom 2020: 258-263
2010 – 2019
- 2019
- [c3]Lin Zhu, Xu Sun, Zijing Tan, Kejia Yang, Weidong Yang, Xiangdong Zhou, Yingjie Tian:
Incremental Discovery of Order Dependencies on Tuple Insertions. DASFAA (1) 2019: 157-174 - [c2]Yue Pang, Xiangdong Zhou, Donghui Xu, Zijing Tan, Mingxi Zhang, Naiwang Guo, Yingjie Tian:
Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction. ICTAI 2019: 1800-1804 - 2018
- [c1]Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian:
Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification. DASFAA (2) 2018: 622-637 - 2017
- [j1]Teng Zhao, Ziqiang Zhou, Yan Zhang, Ping Ling, Yingjie Tian:
Spatio-Temporal Analysis and Forecasting of Distributed PV Systems Diffusion: A Case Study of Shanghai Using a Data-Driven Approach. IEEE Access 5: 5135-5148 (2017)
Coauthor Index
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