Transaction Cost Analysis via Label-Spreading Learning. - Pangjing Wu; Xiaodong Li 007 (MLICOM, 2019)

Improving Order Execution Cost Estimation by Semisupervised Learning. - Xiaodong Li 007; Pangjing Wu; Rongrong Bo (IEEE Access, 2019)

Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong. - Xiaodong Li 007; Pangjing Wu; Wenpeng Wang (Inf. Process. Manag., 2020)

Sentiment Lossless Summarization. - Xiaodong Li 007; Pangjing Wu; Chenxin Zou; Haoran Xie 001; Fu Lee Wang (Knowl. Based Syst., 2021)

Many-to-Many Pair Trading. - Yingying Wang; Xiaodong Li 007; Pangjing Wu; Haoran Xie 001 (APWeb/WAIM (1), 2022)

M2R: From Mathematical Models to Resource Description Framework. - Chenxin Zou; Xiaodong Li 007; Pangjing Wu; Haoran Xie 001 (APWeb/WAIM (2), 2022)

Stock Price Prediction Incorporating Market Style Clustering. - Xiaodong Li 007; Pangjing Wu (Cogn. Comput., 2022)

Action Pick-up in Dynamic Action Space Reinforcement Learning. - Jiaqi Ye; Xiaodong Li 007; Pangjing Wu; Feng Wang 048 (CoRR, 2023)

TSSRD: A Topic Sentiment Summarization Framework Based on Reaching Definition. - Xiaodong Li 007; Chenxin Zou; Pangjing Wu; Qing Li 001 (IEEE Trans. Affect. Comput., 2023)

Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization. - Xiaodong Li 007; Pangjing Wu; Chenxin Zou; Qing Li 001 (IEEE Trans. Big Data, 2024)

HiBench: Benchmarking LLMs Capability on Hierarchical Structure Reasoning. - Zhuohang Jiang; Pangjing Wu; Ziran Liang; Peter Q. Chen; Xu Yuan; Ye Jia; Jiancheng Tu; Chen Li 023; Peter H. F. Ng; Qing Li 001 (CoRR, 2025)