Tianqi Pang

13 papers B 2Misc 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
ELF: Educational LLM Framework of Improving and Evaluating AI-generated Content for Classroom Teaching.
ACM J. Data Inf. Qual.
Kehui Tan, Jiayang Yao, Tianqi Pang, Chenyou Fan, Yu Song
2025 — conf
Enhancing Human Trajectory Prediction with Reinforcement Learning from Quantified Human Preferences.
PRCV (7)
Chenyou Fan, Kehui Tan, Yanzhao Chen, Tianqi Pang, Haiqi Jiang, Junjie Hu
2025 Misc conf
Hybrid Feature Fusion for Enhancing Medical Document Embedding.
ICASSP
Yi Zhu, Xiangyang Liu, Tianqi Pang, Xuncan Xiao, Xiaofan Zhang, Chenyou Fan
2025 B conf
MiDream: Multi-Domain Retrieval Enhancement with Mixture-of-Experts.
IJCNN
Kehui Tan, Wenjing Pang, Jiayang Yao, Tianqi Pang, Xiangyang Liu, Chenyou Fan
2024 — conf
Medical Document Embedding Enhancement with Heterogeneous Mixture-of-Experts.
BIBM
Xiangyang Liu, Yi Zhu, Tianqi Pang, Kui Xue, Xiaofan Zhang, Chenyou Fan
2024 B conf
REMED: Retrieval-Augmented Medical Document Query Responding with Embedding Fine-Tuning.
IJCNN
Tianqi Pang, Kehui Tan, Yujun Yao, Xiangyang Liu, Fanlong Meng, Chenyou Fan, Xiaofan Zhang
2024 J jnl
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning.
CoRR
Yizhou Chi, Yizhang Lin, Sirui Hong, Duyi Pan, Yaying Fei, Guanghao Mei, Bangbang Liu, Tianqi Pang, Jacky Kwok, Ceyao Zhang, Bang Liu, Chenglin Wu
2023 — conf
Carbon Price Forecasting with Quantile Regression and Feature Selection.
ISCSIC
Tianqi Pang, Kehui Tan, Chenyou Fan
2023 J jnl
Carbon Price Forecasting with Quantile Regression and Feature Selection.
CoRR
Tianqi Pang, Kehui Tan, Chenyou Fan
2023 — conf
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.
KSEM (4)
Xiangyang Liu, Tianqi Pang, Chenyou Fan
2023 J jnl
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.
CoRR
Xiangyang Liu, Tianqi Pang, Chenyou Fan
2023 — conf
Pre-trained Financial Model for Price Movement Forecasting.
ICONIP (15)
Chenyou Fan, Tianqi Pang, Aimin Huang
2023 J jnl
Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects.
CoRR
Kehui Tan, Tianqi Pang, Chenyou Fan