VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries.

FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images.

Hawkeye:Efficient Reasoning with Model Collaboration.

SPMFormer: Simplified Physical Model-based transformer with cross-space loss for underwater image enhancement.

Lazarus: Resilient and Elastic Training of Mixture-of-Experts Models with Adaptive Expert Placement.

ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal.

FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping.

RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoT.