A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction. - Jieyun Huang; Yunjia Zhang; Jialai Zhang; Xi Zhang 008 (DSC, 2018)

Stock Market Prediction via Multi-Source Multiple Instance Learning. - Xi Zhang 008; Siyu Qu; Jieyun Huang; Binxing Fang; Philip S. Yu (IEEE Access, 2018)

CoStock: A DeepFM Model for Stock Market Prediction with Attentional Embeddings. - Jieyun Huang; Xi Zhang 008; Binxing Fang (IEEE BigData, 2019)

Visualization Analysis of Hot Event Propagation Topic Map. - Weidong Huang 003; Yuan Wang; Jieyun Huang; Xiaoxiang Cheng (HCC, 2021)

Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation. - Nengjun Zhu; Jieyun Huang; Jian Cao 001; Shanshan Feng (ChineseCSCW (2), 2022)

MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs. - Nengjun Zhu; Jieyun Huang; Jian Cao 001; Xinjiang Lu; Hao Liu 026; Hui Xiong 001 (ICDM, 2023)

R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. - Nengjun Zhu; Jieyun Huang; Jian Cao 001; Liang Hu 004; Zixuan Yuan; Huanjing Gao (IJCAI, 2024)

DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models. - Yi Shen; Jian Zhang; Jieyun Huang; Shuming Shi; Wenjing Zhang 006; Jiangze Yan; Ning Wang; Kai Wang 012; Shiguo Lian (CoRR, 2025)

Quantitative Analysis of Performance Drop in DeepSeek Model Quantization. - Enbo Zhao; Yi Shen; Shuming Shi; Jieyun Huang; Zhihao Chen; Ning Wang; Siqi Xiao; Jian Zhang; Kai Wang 012; Shiguo Lian (CoRR, 2025)