25 citations · 147 across the 70 of their papers we have counts for
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cs.AI2025★ 1 cited
Fewer yet critical: Reducing Redundant Token Dependencies for Transformer-based Time Series Forecasting
Jianqi Zhang, Yuchan Liu, Zeen Song +2
Time series forecasting (TSF) is important in real-world applications. Recently, Transformer-based methods have achieved strong performance by modeling token dependencies through a…
cs.AI2024★ 2 cited
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective
Jiangmeng Li, Zehua Zang, Qirui Ji +6
Representations learned by self-supervised approaches are generally considered to possess sufficient generalizability and discriminability. However, we disclose a nontrivial mutual…
cs.AI2024★ 1 cited
Understanding Token-level Topological Structures in Transformer-based Time Series Forecasting
Jianqi Zhang, Wenwen Qiang, Jingyao Wang +3
Transformer-based methods have achieved state-of-the-art performance in time series forecasting (TSF) by capturing positional and semantic topological relationships among input tok…