ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions. - Peng Zhu 002; Dawei Cheng; Fangzhou Yang; Yifeng Luo; Weining Qian; Aoying Zhou (DASFAA (2), 2021)

SI-News: Integrating social information for news recommendation with attention-based graph convolutional network. - Peng Zhu 002; Dawei Cheng; Siqiang Luo; Fangzhou Yang; Yifeng Luo; Weining Qian; Aoying Zhou (Neurocomputing, 2022)

Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph. - Peng Zhu 002; Dawei Cheng; Fangzhou Yang; Yifeng Luo; Dingjiang Huang; Weining Qian; Aoying Zhou (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. - Peng Zhu 002; Dawei Cheng; Siqiang Luo; Ruyao Xu; Yuqi Liang; Yifeng Luo (J. Web Semant., 2022)

Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition. - Yibo Yan; Peng Zhu 002; Dawei Cheng; Fangzhou Yang; Yifeng Luo (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

MCA-NER: Multi-Contextualized Adversarial-Based Attentional Deep Neural Network for Named Entity Recognition. - Shufeng He; Peng Zhu 002; Yanxia Zhao; Dianqi Sun (Int. J. Pattern Recognit. Artif. Intell., 2023)

Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization. - Haoyu Sun; Yuxuan Bian; Li Han 001; Peng Zhu 002; Dawei Cheng; Yuqi Liang (CIKM, 2024)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. - Peng Zhu 002; Yuante Li; Yifan Hu; Qinyuan Liu; Dawei Cheng; Yuqi Liang (CIKM, 2024)

NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization. - Yuxuan Bian; Haoyu Sun; Yang Lei; Peng Zhu 002; Dawei Cheng (DASFAA (6), 2024)

Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization. - Haoyu Sun; Xin Liu; Yuxuan Bian; Peng Zhu 002; Dawei Cheng; Yuqi Liang (ECML/PKDD (9), 2024)

Predicting stock market trends with self-supervised learning. - Zelin Ying; Dawei Cheng; Cen Chen 001; Xiang Li 067; Peng Zhu 002; Yifeng Luo; Yuqi Liang (Neurocomputing, 2024)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. - Yifan Hu; Peiyuan Liu; Peng Zhu 002; Dawei Cheng; Tao Dai 001 (AAAI, 2025)

A Risk Prediction Model for Real Estate Corporations Using High-Target Semantic BERT and Improved GRU. - Xiaoyan Ma; Peng Zhu 002; Qinyuan Liu; Zidong Wang 001 (ICASSP, 2025)

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU. - Peng Zhu 002; Yuante Li; Yifan Hu; Sheng Xiang; Qinyuan Liu; Dawei Cheng; Yuqi Liang (Neurocomputing, 2025)