From the 2 of 12 linked papers with an AI index.
12 papers
An Empirical Study for Android-to-OpenHarmony GUI Test Migration
Yakun Zhang, Xinjia Chen, Yiyun Chen +6
The paper empirically evaluates how existing Android GUI test migration tools perform on OpenHarmony, builds a benchmark of real apps, and proposes an improved method (ITeM‑HM) tha…
LogiDroid: Individual Functional Test Generation via Business Logic Extraction and Adaptation
Yakun Zhang, Zihan Wang, Xinzhi Peng +6
LogiDroid is a two‑stage system that uses large language model agents to extract structured business logic from requirements and adapt it to a mobile app's GUI, automatically gener…
Head-Aware Key-Value Compression for Efficient Autoregressive Image Generation
Guotao Liang, Baoquan Zhang, Zhiyuan Wen +1
Autoregressive (AR) visual generation has achieved remarkable performance but suffers from high memory usage and low throughput, as it requires caching previously generated visual…
S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain
Baoquan Zhang, Zhehao Yu, Lisai Zhang +5
Parameter Efficient Fine-Tuning (PEFT) is a key technique for adapting a large pretrained model to downstream tasks by fine-tuning only a small number of parameters. Recent methods…
Influence Strength Estimation in Hyperbolic Space for Social Influence Maximization
Hongliang Qiao, Shanshan Feng, Min Zhou +5
The Influence Maximization (IM) problem aims to find a small set of influential users to maximize their influence spread in a social network. Traditional methods rely on fixed diff…
SJD-VP: Speculative Jacobi Decoding with Verification Prediction for Autoregressive Image Generation
Bingqi Shan, Baoquan Zhang, Xiaochen Qi +3
Speculative Jacobi Decoding (SJD) has emerged as a promising method for accelerating autoregressive image generation. Despite its potential, existing SJD approaches often suffer fr…