Peng Zhu

22 papers A* 4A 3Misc 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Credit and Power Co-evolution Modeling with Dynamic Graph Learning.
WWW
Wenhao Ying, Peng Zhu, Mingzhe Li, Ziyan Wang, Dawei Cheng
2026 A* conf
Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting.
WWW
Mingjie You, Dawei Cheng, Meilin Zhang, Peng Zhu, Yuqi Liang
2026 A* conf
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection.
AAAI
Xin Liu, Yuanhang Yu, Peng Zhu, Dawei Cheng, Changjun Jiang
2026 A conf
SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory.
WSDM
Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Zhu, Dawei Cheng
2025 Misc conf
A Risk Prediction Model for Real Estate Corporations Using High-Target Semantic BERT and Improved GRU.
ICASSP
Xiaoyan Ma, Peng Zhu, Qinyuan Liu, Zidong Wang
2025 A* conf
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.
AAAI
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
2025 J jnl
Financial Time Series Prediction With Multi-Granularity Graph Augmented Learning.
IEEE Trans. Knowl. Data Eng.
Peng Zhu, Yuante Li, Qinyuan Liu, Dawei Cheng, Changjun Jiang
2025 J jnl
MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU.
Neurocomputing
Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.
CoRR
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
2024 — conf
Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization.
ECML/PKDD (9)
Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang
2024 A conf
Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization.
CIKM
Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang
2024 A conf
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
CIKM
Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
CoRR
Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU.
CoRR
Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 — conf
NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization.
DASFAA (6)
Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng
2024 J jnl
Predicting stock market trends with self-supervised learning.
Neurocomputing
Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang
2023 J jnl
Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Yibo Yan, Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo
2023 J jnl
MCA-NER: Multi-Contextualized Adversarial-Based Attentional Deep Neural Network for Named Entity Recognition.
Int. J. Pattern Recognit. Artif. Intell.
Shufeng He, Peng Zhu, Yanxia Zhao, Dianqi Sun
2022 J jnl
Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph.
IEEE ACM Trans. Audio Speech Lang. Process.
Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou
2022 J jnl
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.
J. Web Semant.
Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo
2022 J jnl
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.
Neurocomputing
Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
2021 — conf
ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions.
DASFAA (2)
Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou