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2020 – today
- 2024
[c4]Tianqi Pang, Kehui Tan, Yujun Yao, Xiangyang Liu, Fanlong Meng, Chenyou Fan, Xiaofan Zhang:
REMED: Retrieval-Augmented Medical Document Query Responding with Embedding Fine-Tuning. IJCNN 2024: 1-8- [i4]Yizhou Chi, Yizhang Lin, Sirui Hong, Duyi Pan, Yaying Fei, Guanghao Mei, Bangbang Liu, Tianqi Pang, Jacky Kwok, Ceyao Zhang, Bang Liu, Chenglin Wu:
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning. CoRR abs/2410.17238 (2024) - 2023
- [c3]Chenyou Fan
, Tianqi Pang, Aimin Huang:
Pre-trained Financial Model for Price Movement Forecasting. ICONIP (15) 2023: 216-229 - [c2]Tianqi Pang, Kehui Tan, Chenyou Fan:
Carbon Price Forecasting with Quantile Regression and Feature Selection. ISCSIC 2023: 362-367 - [c1]Xiangyang Liu, Tianqi Pang, Chenyou Fan:
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering. KSEM (4) 2023: 3-11 - [i3]Xiangyang Liu, Tianqi Pang, Chenyou Fan:
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering. CoRR abs/2304.13911 (2023) - [i2]Tianqi Pang, Kehui Tan, Chenyou Fan:
Carbon Price Forecasting with Quantile Regression and Feature Selection. CoRR abs/2305.03224 (2023) - [i1]Kehui Tan, Tianqi Pang, Chenyou Fan:
Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects. CoRR abs/2305.03433 (2023)
Coauthor Index
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