Experiments show that TopoSegDiff produces more realistic and structurally faithful image-mask pairs, reduces topology inconsistency, and consistently improves downstream segmentation performance when used for synthetic augmentation, which support topology-preserving conditioning as an effective route toward more relia...
Qin Lei, Ce-Ran Chen, Jiang Zhong et al.· IEEE Transactions on Neural...· 0 citations
This paper re-examines frequency-domain modeling from the perspective of spectral non-identifiability and proposes a Spectral Memory Learner with Dual Retrieval (SMLDR) for time series forecasting, which represents periodic components as reusable spectral prototypes stored in learnable memory.
Zhenxin Li, Longquan Liao, Wen-Chang Zhang et al.· Proceedings of the Thirty-Fi...· 0 citations
Traditional search engines struggle to synthesize fragmented information for complex queries, while generative AI search engines face challenges in relevance, comprehensiveness, and presentation. To address these limitations, we introduce Xinyu AI Search, a novel system that incorporates a query-decomposition graph to...
Bo Tang, Junyi Zhu, Ang Li et al.· Proceedings of the 32nd ACM...· 0 citations
M$^3$R-Reasoner is proposed, which combines curriculum-based reasoning supervision with task-aware reinforcement learning to align model reasoning with metaphor interpretation and improves Visual Evidence and Sentiment Justification scores over GPT-5.
Hongye Jiang, Jun-Nan Zhu, Jing-Wang Huang et al.· 0 citations
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