Peng Zhu

According to our database, Peng Zhu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU.

Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang

Neurocomputing, 2025

A Risk Prediction Model for Real Estate Corporations Using High-Target Semantic BERT and Improved GRU.

Xiaoyan Ma, Peng Zhu, Qinyuan Liu, Zidong Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.

Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Predicting stock market trends with self-supervised learning.

Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang

Neurocomputing, February, 2024

Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization.

Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization.

Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng

Proceedings of the Database Systems for Advanced Applications, 2024

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.

Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization.

Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

MCA-NER: Multi-Contextualized Adversarial-Based Attentional Deep Neural Network for Named Entity Recognition.

Shufeng He, Peng Zhu, Yanxia Zhao, Dianqi Sun

Int. J. Pattern Recognit. Artif. Intell., September, 2023

Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition.

Yibo Yan, Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

2022

Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.

Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo

J. Web Semant., 2022

Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph.

Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou

IEEE ACM Trans. Audio Speech Lang. Process., 2022

SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.

Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Neurocomputing, 2022

2021

ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions.

Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Proceedings of the Database Systems for Advanced Applications, 2021