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20222026
most citedGenerative Pretrained Hierarchical Transformer for Time Series Forecasting

37 citations · 90 across the 18 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.AI2025

OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting

Tingyue Pan, Mingyue Cheng, Shilong Zhang +5

Cross-domain time series forecasting is a valuable task in various web applications. Despite its rapid advancement, achieving effective generalization across heterogeneous time ser…

cs.IR2025

Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce

Zhiding Liu, Ben Chen, Mingyue Cheng +6

Search-based recommendation is one of the most critical application scenarios in e-commerce platforms. Users' complex search contexts--such as spatiotemporal factors, historical in…

cs.IR2025

FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation

Li Li, Mingyue Cheng, Yuyang Ye +2

Sequential recommendation aims to predict each user's next preferred item based on their historical interactions. Recently, diffusion-based approaches have demonstrated strong gene…

cs.LG2025

Improving Time Series Forecasting via Instance-aware Post-hoc Revision

Zhiding Liu, Mingyue Cheng, Guanhao Zhao +3

Time series forecasting plays a vital role in various real-world applications and has attracted significant attention in recent decades. While recent methods have achieved remarkab…

cs.AI2025

Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment

Yuze Zhao, Tianyun Ji, Wenjun Feng +6

The reasoning abilities are one of the most enigmatic and captivating aspects of large language models (LLMs). Numerous studies are dedicated to exploring and expanding the boundar…