Pre-trained Financial Model for Price Movement Forecasting. - Chenyou Fan; Tianqi Pang; Aimin Huang (ICONIP (15), 2023)

Carbon Price Forecasting with Quantile Regression and Feature Selection. - Tianqi Pang; Kehui Tan; Chenyou Fan (ISCSIC, 2023)

Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering. - Xiangyang Liu; Tianqi Pang; Chenyou Fan (KSEM (4), 2023)

Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects. - Kehui Tan; Tianqi Pang; Chenyou Fan (CoRR, 2023)

Medical Document Embedding Enhancement with Heterogeneous Mixture-of-Experts. - Xiangyang Liu; Yi Zhu; Tianqi Pang; Kui Xue; Xiaofan Zhang 006; Chenyou Fan (BIBM, 2024)

REMED: Retrieval-Augmented Medical Document Query Responding with Embedding Fine-Tuning. - Tianqi Pang; Kehui Tan; Yujun Yao; Xiangyang Liu; Fanlong Meng; Chenyou Fan; Xiaofan Zhang 006 (IJCNN, 2024)

SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning. - Yizhou Chi; Yizhang Lin; Sirui Hong; Duyi Pan; Yaying Fei; Guanghao Mei; Bangbang Liu; Tianqi Pang; Jacky Kwok; Ceyao Zhang; Bang Liu; Chenglin Wu (CoRR, 2024)

Hybrid Feature Fusion for Enhancing Medical Document Embedding. - Yi Zhu; Xiangyang Liu; Tianqi Pang; Xuncan Xiao; Xiaofan Zhang 006; Chenyou Fan (ICASSP, 2025)