3 papers
cs.CV2026
Semantically Compatible Knowledge Distillation for Cross-Domain Object Detection with Vision Foundation Models
Qifeng Zhang, Ting Xiang, Zeyuan Bai +1
Vision foundation models (VFMs) offer strong generalization capabilities for domain-adaptive object detection (DAOD). However, existing VFM-based methods overlook the spatial-scale…
cs.CR2026
Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks
Bin Duan, Zeyu Bai, Guowei Yang
Deep neural networks are increasingly deployed across heterogeneous and partially untrusted environments, where models are distributed through cloud storage, CI/CD pipelines, conta…
cs.DC2026
Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
Zeyu Bai
Custom policy-learning pipelines in Spark fail for two coupled systems reasons: rowwise Python execution makes inference impractical, and driver-side candidate materialization make…