activity
20222026
most citedUnraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Efficient Multimodal Generative Recommendation with Latent Narrative Reasoning

Chenxing Wang, Nantao Zheng, Hao Miao +5

Generative recommendation reformulates item prediction as semantic identifier generation, yet episodic content introduces a fundamentally different setting where the target is dete…

cs.IR2025

Task-Aware Retrieval Augmentation for Dynamic Recommendation

Zhen Tao, Xinke Jiang, Qingshuai Feng +6

Dynamic recommendation systems aim to provide personalized suggestions by modeling temporal user-item interactions across time-series behavioral data. Recent studies have leveraged…

cs.LG2025★ 1 cited

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review

Yuchen Fang, Hao Miao, Yuxuan Liang +9

Spatio-temporal deep learning models aims to utilize useful patterns in such data to support tasks like prediction. However, previous deep learning models designed for specific tas…

cs.LG2025

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization

Haoyu Zhang, Wentao Zhang, Hao Miao +3

Spatio-Temporal Graph Neural Networks (STGNNs) have emerged as a powerful tool for modeling dynamic graph-structured data across diverse domains. However, they often fail to genera…

quant-ph2022

Quantum Multiple-Valued Decision Diagrams with Linear Transformations

Yonghong Li, Hao Miao

Due to the rapid development of quantum computing, the compact representation of quantum operations based on decision diagrams has been received more and more attraction. Since var…