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F. Salim

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Preprint Aug 2026

AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting

This work proposes AsyTO, an Asymmetric Temporal Operator, an Asymmetric Temporal Operator that factorizes the tensor of per-variable operators into shared but distinct history-reading and future-writing temporal modes with per-variable mode-wise gains, complemented by a low-rank periodic prototype and a cycle-separabl...

Xiachong Lin, Du Yin, Hao Xue et al. · 0 citations

Scope3Trace: Evidence-Based Identification and Extraction of Scope 3 GHG Emissions from Sustainability Reports

Scope3Trace is proposed, an evidence-grounded information extraction framework designed to extract interpretable and traceable Scope 3 emissions information from real-world ESG and sustainability reports and contributes a dual-level, evidence-grounded, multimodal dataset.

Si Zheng, Yi-Fan Duan, Chaoyuan Xue et al. · 1 citation
#artificial intelligence Preprint Aug 2026

GuardianAgent: Policy-Conditioned Risk-Adaptive Anonymization with Verified Adversarial Escalation

GuardianAgent, a policy-conditioned anonymization framework that couples structured risk assessment with verified adaptive rewriting, achieves the strongest privacy-utility trade-off among published baselines and is the only method to reach more than 0.90 privacy in all three domains, remaining robust under a backbone...

Rui-Yi Yang, Gayathri Lihinikaduarachchi, Rahat Masood et al. · 0 citations

A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks

A2TTA is proposed, an Anchored-and-Agile Test-Time Adaptation framework for evolving traffic sensor networks, which transforms topology-induced forecasting errors into an expandable output calibration problem and separates tem- poral adaptation into persistent global correction and agile context-specific specialization...

Du Yin, Xiachong Lin, Yuejie Tan et al. · 0 citations
#artificial intelligence Preprint Aug 2026

An Empirical Evaluation of Cross-City POI Recommendation on a Large-Scale Benchmark

The need for task-specific designs that support cross-city preference transfer, semantic grounding, and scalable reasoning over unseen destination inventories is highlighted, with results highlighting the need for task-specific designs that support cross-city preference transfer, semantic grounding, and scalable reason...

Pei-Bo Li, Yang Song, Hao Xue et al. · 0 citations

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