Time series analysis is fundamental in domains such as finance, healthcare, and meteorology. Real-world time series often exhibit multiscale characteristics shaped by diverse latent factors, resulting in intricate temporal patterns and rich frequency structures. However, existing approaches typically focus on either fr...
Xiao-Han Jiang, Jing-Yuan Wang, Jia-Hao Ji et al.· IEEE Transactions on Knowled...· 0 citations
Parameter-efficient fine-tuning (PEFT) has become a standard approach for adapting large language models to downstream tasks. However, most existing PEFT methods rely on uniform and static adaptations, without accounting for the structured heterogeneity of attention across dimensions, heads, layers, and input tokens. I...
Dayan Pan, Jing-Yuan Wang, Xie Yu· Proceedings of the 32nd ACM...· 0 citations
This work presents AgentCity, an AI-maintained framework for the continuous construction and evaluation of traffic prediction benchmarks and validate the reliability of AgentCity through benchmark validation studies on reproduction fidelity and consistency across different code-oriented agents.
Dayan Pan, Hongkang Su, Jingyuan Wang et al.· Proceedings of the 32nd ACM...· 0 citations
Urban planning is a real-world spatial optimization problem that requires selecting feasible actions from large candidate spaces under practical objectives such as cost and service quality. Existing optimization and reinforcement learning methods are effective for fixed formulations, but often depend on task-specific r...
Wen-Tao Zhang, Jing-Yuan Wang, Ze-Tong Zhou et al.· 0 citations
MoE-Pointer is proposed, a unified reinforcement learning framework that reformulates DM-PDP into a sequence-to-sequence generation task and introduces a Prior-Guided Soft Mask to guide exploration within the exponentially large action space.
Rui Bai, Jingyuan Wang, Lu Zhen· Proceedings of the 32nd ACM...· 0 citations
Traffic prediction is a fundamental component of intelligent transportation systems, and recent research has explored a wide range of prediction tasks and modeling approaches. While several benchmarking frameworks have been proposed to support fair and reproducible evaluation, most existing benchmarks rely on manual ma...
Dayan Pan, Hongkang Su, Jingyuan Wang et al.· Proceedings of the 32nd ACM...· 0 citations
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