Research & Innovation

Global: Structural Compositional Function Networks Boost Tabular Data PerformanceResearchers have introduced a novel neural architecture called Structural Compositional Function Networks (StructuralCFN) that seeks to narrow the performance gap between deep…

Global: FusionLog Enables Zero-Label Cross-System Log Anomaly DetectionResearchers have introduced FusionLog, a method that detects anomalies in web system logs without any labeled data from the target environment. The approach…

Global: New SAE Method Improves Multimodal Alignment in CLIP and CLAP Embeddings A team of researchers has introduced a novel sparse autoencoder (SAE) technique designed to better align multimodal embedding…

Global: Generalizable Reinforcement Learning Framework Enhances 5G RAN PerformanceA team of researchers has introduced a reinforcement learning (RL) framework designed to improve radio access network (RAN) control across diverse 5G…

Global: BayPrAnoMeta Enhances Few-Shot Anomaly DetectionResearchers have introduced BayPrAnoMeta, a Bayesian generalization of the Proto-MAML framework, to address the difficulty of detecting anomalies in industrial images when only a handful…

Global: New Projection-Free Algorithm BAGEL Achieves Optimal Regret in Online Convex OptimizationResearchers Yiyang Lu, Mohammad Pedramfar, and Vaneet Aggarwal announced on arXiv that their algorithm named BAGEL offers a projection‑free…

Global: New Linear Surrogate Method Cuts Compute for Generating Unlearnable Data PerturbationsEfficient Generation of Unlearnable ExamplesResearchers have introduced Perturbation‑Induced Linearization (PIL), a technique that creates unlearnable data examples using only…

Global: VSCOUT Introduces Distribution-Free Phase I SPC for High-Dimensional, Non‑Gaussian DataResearchers have unveiled VSCOUT, a distribution‑free framework designed for retrospective (Phase I) statistical process control (SPC) in environments characterized by…

Global: New Open Dataset and Modeling Framework for Net Conversion Rate in E‑CommerceResearchers at Alibaba’s e‑commerce technology team have unveiled a new open dataset and a modeling framework aimed at…

Global: New Study Analyzes Randomized Subspace Normalized SGD Under Heavy‑Tailed Noise Researchers Gaku Omiya, Pierre‑Louis Poirion, and Akiko Takeda submitted a preprint to arXiv on January 28, 2026, presenting a…