· ai
[Paper] Why Smooth Stability Assumptions Fail for ReLU Learning
Stability analyses of modern learning systems are frequently derived under smoothness assumptions that are violated by ReLU-type nonlinearities. In this note, w...
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- · devops
[Paper] Proceedings First Workshop on Adaptable Cloud Architectures
This volume contains the post-proceedings of the Workshop on Adaptable Cloud Architectures (WACA 2025), held on June 20, 2025, in Lille, France, co-located with...
- · ai
[Paper] MAI-UI Technical Report: Real-World Centric Foundation GUI Agents
The development of GUI agents could revolutionize the next generation of human-computer interaction. Motivated by this vision, we present MAI-UI, a family of fo...
- · ai
[Paper] Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models
Prompt-driven Video Segmentation Foundation Models (VSFMs) such as SAM2 are increasingly deployed in applications like autonomous driving and digital pathology,...
- · software
[Paper] HALF: Process Hollowing Analysis Framework for Binary Programs with the Assistance of Kernel Modules
Binary program analysis is still very important in system security. There are many practical achievements in binary code analysis, but fine-grained analysis suc...
- · devops
[Paper] FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion
Large-scale Mixture-of-Experts (MoE) models rely on expert parallelism for efficient training and inference, which splits experts across devices and necessitate...
- · devops
[Paper] Robust Federated Fine-Tuning in Heterogeneous Networks with Unreliable Connections: An Aggregation View
Federated Fine-Tuning (FFT) has attracted growing interest as it leverages both server- and client-side data to enhance global model generalization while preser...
- · ai
[Paper] From In Silico to In Vitro: Evaluating Molecule Generative Models for Hit Generation
Hit identification is a critical yet resource-intensive step in the drug discovery pipeline, traditionally relying on high-throughput screening of large compoun...
- · ai
[Paper] LibContinual: A Comprehensive Library towards Realistic Continual Learning
A fundamental challenge in Continual Learning (CL) is catastrophic forgetting, where adapting to new tasks degrades the performance on previous ones. While the ...
- · ai
[Paper] Patch-Discontinuity Mining for Generalized Deepfake Detection
The rapid advancement of generative artificial intelligence has enabled the creation of highly realistic fake facial images, posing serious threats to personal ...
- · ai
[Paper] Direction Finding with Sparse Arrays Based on Variable Window Size Spatial Smoothing
In this work, we introduce a variable window size (VWS) spatial smoothing framework that enhances coarray-based direction of arrival (DOA) estimation for sparse...
- · ai
[Paper] Meta-Learning-Based Handover Management in NextG O-RAN
While traditional handovers (THOs) have served as a backbone for mobile connectivity, they increasingly suffer from failures and delays, especially in dense dep...