A structural knowledge-guided Complex-Noise Handling method for Open Intent Classification (CNOIC), which introduces structural knowledge representation to capture the structural characteristics of each class via granular-balls, and presents an open space-aware representation learning strategy that uses OOD noise proto...
Yan-Hua Li, Xiao-Cao Ouyang, Jie Zhang et al.· Neural Networks· 0 citations
This paper presents a systematic spectral analysis of graph prompting, revealing the inherent limitations of spatial-domain prompts in capturing attenuated high-frequency signals and proposes SCA-GPPT, a spectrum-aware framework that unifies Spectrum-based Graph Pre-training and Cluster-Augmented Prompt Tuning.
Ting-Ting Li, Yong-Hao Li, Xiang-Kun Wang et al.· IJCAI/ECAI· 0 citations
TS-MTM is proposed, a Temporal-Spectral Masked Time-series Modeling framework that formalizes pretraining within a joint representation space and introduces two synergistic mechanisms: Axial-Period Cross Masking to capture temporal dependencies across phases, and Structure-aware Spectral Magnitude Masking to reconstruc...
Pengcheng Zhang, Xiao-Cao Ouyang, Xin Li et al.· Proceedings of the 32nd ACM...· 0 citations
Time series forecasting is a cornerstone of numerous real-world applications, where prediction accuracy relies on capturing intricate periodic patterns and evolving spectral dynamics. While Masked Time-series Modeling (MTM) has emerged as a powerful self-supervised paradigm, its conventional one-dimensional (1D) formul...
Pengcheng Zhang, Xiaocao Ouyang, Xin Li et al.· Proceedings of the 32nd ACM...· 0 citations
The results show that structured agent memory need not generate an intermediate representation of the past, and Zero-Mem achieves competitive performance while eliminating LLM calls and LLM-token consumption from memory operations.
