3 papers
cs.LG2026
DSFNet: Learning Dual-Domain Spectral Operators for Multi-Modality Spatio-Temporal Forecasting in Urban Transportation Systems
Yongchao Li, Yang Li, Zhuoxuan Li +4
Multi-Modality Spatio-Temporal Forecasting (MoSTF) extends traditional spatio-temporal forecasting by incorporating diverse traffic modalities. Despite significant recent strides i…
cs.AI2026
Resource-constrained Amazons chess decision framework integrating large language models and graph attention
Tianhao Qian, Zhuoxuan Li, Jinde Cao +2
Artificial intelligence has advanced significantly through the development of intelligent game-playing systems, providing rigorous testbeds for decision-making, strategic planning,…
cs.CV2026
Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks
Tianhao Qian, Zhuoxuan Li, Jinde Cao +2
Efficient deep learning traditionally relies on static heuristics like weight magnitude or activation awareness (e.g., Wanda, RIA). While successful in unstructured settings, we ob…