most citedSRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation

3 citations · 4 across the 13 of their papers we have counts for

collaborators

18 papers

physics.soc-ph2026

Service Ecosystem Evolution: A Comprehensive Survey from Complex Network Perspectives

Shuiguang Deng, Xingliang Wang, Guochang Li +5

Digital society increasingly relies on complex service ecosystems, formed by interconnected services from technology giants. However, the growing scale and intricate dependencies o…

cs.DB2026

GRAB-ANNS: High-Throughput Indexing and Hybrid Search via GPU-Native Bucketing

Xinkui Zhao, Hengxuan Lou, Yifan Zhang +3

Hybrid search, which jointly optimizes vector similarity and structured predicate filtering, has become a fundamental building block for modern AI-driven systems. While recent pred…

cs.SE2026

Can Vision-Language Models Handle Long-Context Code? An Empirical Study on Visual Compression

Jianping Zhong, Guochang Li, Chen Zhi +6

Large Language Models (LLMs) struggle with long-context code due to window limitations. Existing textual code compression methods mitigate this via selective filtering but often di…

cs.CV2025

Video-QTR: Query-Driven Temporal Reasoning Framework for Lightweight Video Understanding

Xinkui Zhao, Zuxin Wang, Yifan Zhang +6

The rapid development of multimodal large-language models (MLLMs) has significantly expanded the scope of visual language reasoning, enabling unified systems to interpret and descr…

cs.OS2025

TenonOS: A Self-Generating LibOS-on-LibOS Framework for Time-Critical Embedded Operating Systems

Xinkui Zhao, Yifan Zhang, Haidan Zhao +7

The growing complexity of embedded systems creates tension between rich functionality and strict resource and real-time constraints. Traditional monolithic operating system and hyp…

cs.SE2025

Completion by Comprehension: Guiding Code Generation with Multi-Granularity Understanding

Xinkui Zhao, Rongkai Liu, Yifan Zhang +6

As code completion task from function-level to repository-level, leveraging contextual information from large-scale codebases becomes a core challenge. However, existing retrieval-…