activity
20232026
most citedClawMobile: Rethinking Smartphone-Native Agentic Systems

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.PF2026

Characterize LSM-tree Compaction Performance via On-Device LLM Inference

Jiabiao Ding, Yina Lv, Qiao Li +2

Modern key-value storage engines built on Log-Structured Merge-trees (LSM-trees), such as RocksDB and LevelDB, rely heavily on the performance of their compaction operations, which…

cs.MA2026★ 1 cited

ClawMobile: Rethinking Smartphone-Native Agentic Systems

Hongchao Du, Shangyu Wu, Qiao Li +4

Smartphones represent a uniquely challenging environment for agentic systems. Unlike cloud or desktop settings, mobile devices combine constrained execution contexts, fragmented co…

cs.OS2026

ContiguousKV: Accelerating LLM Prefill with Granularity-Aligned KV Cache Management

Jing Zou, Shangyu Wu, Hancong Duan +2

Efficiently serving Large Language Models (LLMs) with persistent Prefix Key-Value (KV) Cache is critical for applications like conversational search and multi-turn dialogue. Servin…

cs.DB2025

Rethinking LSM-tree based Key-Value Stores: A Survey

Yina Lv, Qiao Li, Quanqing Xu +4

LSM-tree is a widely adopted data structure in modern key-value store systems that optimizes write performance in write-heavy applications by using append writes to achieve sequent…

cs.AR2025

Device-Level Optimization Techniques for Solid-State Drives: A Survey

Tianyu Ren, Yajuan Du, Jinhua Cui +3

Solid-state drives (SSDs) have revolutionized data storage with their high performance, energy efficiency, and reliability. However, as storage demands grow, SSDs face critical cha…

cs.CV2023

Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems

Wenjing Xie, Tao Hu, Neiwen Ling +3

Fusing Radar and Lidar sensor data can fully utilize their complementary advantages and provide more accurate reconstruction of the surrounding for autonomous driving systems. Surr…