most citedA Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices

3 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2025

ThinkTrap: Denial-of-Service Attacks against Black-box LLM Services via Infinite Thinking

Yunzhe Li, Jianan Wang, Hongzi Zhu +3

Large Language Models (LLMs) have become foundational components in a wide range of applications, including natural language understanding and generation, embodied intelligence, an…

cs.CV2025

BlinkBud: Detecting Hazards from Behind via Sampled Monocular 3D Detection on a Single Earbud

Yunzhe Li, Jiajun Yan, Yuzhou Wei +7

Failing to be aware of speeding vehicles approaching from behind poses a huge threat to the road safety of pedestrians and cyclists. In this paper, we propose BlinkBud, which utili…

cs.LG2025★ 1 cited

Saga: Capturing Multi-granularity Semantics from Massive Unlabelled IMU Data for User Perception

Yunzhe Li, Facheng Hu, Hongzi Zhu +4

Inertial measurement units (IMUs), have been prevalently used in a wide range of mobile perception applications such as activity recognition and user authentication, where a large…

cs.AI2025

Prism: Mining Task-aware Domains in Non-i.i.d. IMU Data for Flexible User Perception

Yunzhe Li, Facheng Hu, Hongzi Zhu +5

A wide range of user perception applications leverage inertial measurement unit (IMU) data for online prediction. However, restricted by the non-i.i.d. nature of IMU data collected…

cs.CV2024★ 3 cited

A Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices

Yunzhe Li, Hongzi Zhu, Zhuohong Deng +5

Emerging Artificial Intelligence of Things (AIoT) applications desire online prediction using deep neural network (DNN) models on mobile devices. However, due to the movement of de…

cs.CV2024

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension

Quan Liu, Hongzi Zhu, Zhenxi Wang +3

Registration of point clouds collected from a pair of distant vehicles provides a comprehensive and accurate 3D view of the driving scenario, which is vital for driving safety rela…