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cs.AI2026
Image Synthesis as an Intermediate for Controllable Time Series Generation
Haochen Yuan, Jing Xie, Yunbo Wang
Semantic-driven time-series generation offers a promising way to improve downstream learning in few-shot forecasting, but directly generating numerical sequences from language ofte…
cs.AI2026
Zero-Shot Time-Series Question Answering via Decoupled Perception and Reasoning
Jing Xie, Haochen Yuan, Yunbo Wang
Time-series question answering (TSQA) requires grounding linguistic queries and diverse answer formats in complex numerical observations. However, existing methods heavily overfit…
cs.LG2026
Unicorn: Scaling High-Dimensional Time Series Forecasting via Universal Correlation Modeling
Haochen Yuan, Yichen Song, Yunbo Wang +1
Modern time series architectures face a fundamental trade-off: channel-independent models scale well with increasing data volume but ignore critical inter-channel dependencies, whi…