activity
20242026
most citedDeep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls

1 citations · 1 across the 11 of their papers we have counts for

collaborators

15 papers

cs.HC2026

Act2Intention: A Benchmark For Developing Active Mobile Agents Through Inferring User Intention from GUI Actions

Xiaokai Yan, Jingtao Ding, Yong Li +1

Mobile GUI Agents powered by multimodal large language models (MLLMs) show promise in human-computer intelligence. However, current research primarily focuses on reactive task exec…

cs.LG2026

Progressive: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression

Tiancong Cheng, Ying Zhang, Zhiwen Yu +2

Knowledge distillation (KD) is a widely utilized technique for transferring knowledge from a large model (the teacher) to a smaller model (the student). Owing to its flexibility an…

cs.AI2026

Truth or Tribe: How In-group Favoritism Prioritize Facts in Persona Agents

Shijun Lei, Hongyu Wang, Yunji Liang +3

In-group favoritism refers to the phenomena of favoring members of one's in-group over out-group members and is widely observed in numerous social cooperative behaviors. Recently,…

eess.SP2026

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook

Sizhen Bian, Mengxi Liu, Lala Shakti Swarup Ray +7

Sensor-based Human Activity Recognition (HAR) underpins many ubiquitous and wearable computing applications, yet current models remain limited by scarce labels, sensor heterogeneit…

cs.OS2026

AppFlow: Memory Scheduling for Cold Launch of Large Apps on Mobile and Vehicle Systems

Xiaochen Li, Sicong Liu, Bin Guo +4

GB-scale large apps like on-device LLMs and rich media editors are becoming the next-generation trend, but their heavy memory and I/O demands, especially during multitasking, cause…

cs.SI2026

Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method

Jing Zhang, Ke Huang, Yao Zhang +2

The proliferation of fake reviews, often produced by organized groups, undermines consumer trust and fair competition on online platforms. These groups employ sophisticated strateg…