Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading. - Kaiming Pan; Yifan Hu 006; Li Han 001; Haoyu Sun; Dawei Cheng; Yuqi Liang (CIKM, 2024)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. - Peng Zhu 002; Yuante Li; Yifan Hu 006; Qinyuan Liu; Dawei Cheng; Yuqi Liang (CIKM, 2024)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. - Yifan Hu 006; Peiyuan Liu; Peng Zhu 002; Dawei Cheng; Tao Dai 001 (AAAI, 2025)

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. - Yifan Hu 006; Guibin Zhang; Peiyuan Liu; Disen Lan; Naiqi Li; Dawei Cheng; Tao Dai 001; Shu-Tao Xia; Shirui Pan (ICML, 2025)

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Yifan Hu 006; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (ICML, 2025)

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU. - Peng Zhu 002; Yuante Li; Yifan Hu 006; Sheng Xiang 001; Qinyuan Liu; Dawei Cheng; Yuqi Liang (Neurocomputing, 2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction. - Yifan Hu 006; 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 006; Yuante Li; Peiyuan Liu; Yuxia Zhu; Naiqi Li; Tao Dai 001; Shutao Xia; Dawei Cheng; Changjun Jiang 002 (CoRR, 2025)

Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting. - Yixin Wang; Yifan Hu 006; Peiyuan Liu; Naiqi Li; Tao Dai 001; Shu-Tao Xia (CoRR, 2026)