LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. - Peng Zhu; Yuante Li; Yifan Hu; Qinyuan Liu; Dawei Cheng; Yuqi Liang (CIKM, 2024)

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU. - Peng Zhu; Yuante Li; Yifan Hu; Sheng Xiang; Qinyuan Liu; Dawei Cheng; Yuqi Liang (Neurocomputing, 2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction. - Yifan Hu; Peiyuan Liu; Yuante Li; Dawei Cheng; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2025)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting. - Yifan Hu; Yuante Li; Peiyuan Liu; Yuxia Zhu; Naiqi Li; Tao Dai 001; Shutao Xia; Dawei Cheng; Changjun Jiang (CoRR, 2025)

DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models. - Xiaoyang Chen; Xinan Dai; Yu Du; Qian Feng; Naixu Guo; Tingshuo Gu; Yuting Gao; Yingyi Gao; Xudong Han; Xiang Jiang 012; Yilin Jin; Hongyi Lin; et al. (CoRR, 2025)

R&D-Agent: Automating Data-Driven AI Solution Building Through LLM-Powered Automated Research, Development, and Evolution. - Xu Yang; Xiao Yang; Shikai Fang; Bowen Xian; Yuante Li; Jian Wang; Minrui Xu; Haoran Pan; Xinpeng Hong; Weiqing Liu; Yelong Shen; Weizhu Chen; et al. (CoRR, 2025)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization. - Yuante Li; Xu Yang; Xiao Yang; Minrui Xu; Xisen Wang; Weiqing Liu; Jiang Bian 002 (CoRR, 2025)