Search Results for author: Guoqiang Li

Found 11 papers, 4 papers with code

Can Language Models Pretend Solvers? Logic Code Simulation with LLMs

no code implementations24 Mar 2024 Minyu Chen, Guoqiang Li, Ling-I Wu, Ruibang Liu, Yuxin Su, Xi Chang, Jianxin Xue

This study delves into a novel aspect, namely logic code simulation, which forces LLMs to emulate logical solvers in predicting the results of logical programs.

AC4: Algebraic Computation Checker for Circuit Constraints in ZKPs

no code implementations23 Mar 2024 Hao Chen, Minyu Chen, Ruibang Liu, Guoqiang Li, Sinka Gao

ZKP systems have surged attention and held a fundamental role in contemporary cryptography.

Vulnerability of Face Morphing Attacks: A Case Study on Lookalike and Identical Twins

no code implementations24 Mar 2023 Raghavendra Ramachandra, Sushma Venkatesh, Gaurav Jaswal, Guoqiang Li

We present a systematic study on benchmarking the vulnerability of Face Recognition Systems (FRS) to lookalike and identical twin morphing images.

Benchmarking Face Recognition

Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?

2 code implementations12 Aug 2020 Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, Guoqiang Li

We conduct the first large-scale empirical study of seven representative GUI element detection methods on over 50k GUI images to understand the capabilities, limitations and effective designs of these methods.

Code Generation object-detection +1

A Survey on Unknown Presentation Attack Detection for Fingerprint

no code implementations17 May 2020 Jag Mohan Singh, Ahmed Madhun, Guoqiang Li, Raghavendra Ramachandra

Fingerprint recognition systems are widely deployed in various real-life applications as they have achieved high accuracy.

Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning

1 code implementation1 Mar 2020 Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang

However, the prerequisite of using screen readers is that developers have to add natural-language labels to the image-based components when they are developing the app.

Missing Labels

Multi-View Factorization Machines

1 code implementation3 Jun 2015 Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu

In this paper, we propose a general predictor, named multi-view machines (MVMs), that can effectively include all the possible interactions between features from multiple views.

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