Lihua Guo

According to our database, Lihua Guo authored at least 31 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers.

Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang

CoRR, 2024

An Empirical Study of Data Disruption by Ransomware Attacks.

Yiwei Hou, Lihua Guo, Chijin Zhou, Yiwen Xu, Zijing Yin, Shanshan Li, Chengnian Sun, Yu Jiang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network.

Liancheng Xu, Lihua Guo, Xiaoqi Wu, Xinhua Wang, Lei Guo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Towards Better Semantics Exploration for Browser Fuzzing.

Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu

Proc. ACM Program. Lang., October, 2023

Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models.

Qi Ye, Lihua Guo

CoRR, 2023

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States.

Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia

CoRR, 2023

A Subabdominal MRI Image Segmentation Algorithm Based on Multi-Scale Feature Pyramid Network and Dual Attention Mechanism.

Yu Xiao, Xin Yang, Sijuan Huang, Lihua Guo

CoRR, 2023

Limits of I/O Based Ransomware Detection: An Imitation Based Attack.

Chijin Zhou, Lihua Guo, Yiwei Hou, Zhenya Ma, Quan Zhang, Mingzhe Wang, Zhe Liu, Yu Jiang

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

Knowledge transferred adaptive filter pruning for CNN compression and acceleration.

Lihua Guo, Dawu Chen, Kui Jia

Sci. China Inf. Sci., 2022

Minerva: browser API fuzzing with dynamic mod-ref analysis.

Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, Yu Jiang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Investigating Coverage Guided Fuzzing with Mutation Testing.

Ruixiang Qian, Quanjun Zhang, Chunrong Fang, Lihua Guo

Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

2021

SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma.

Zexi Huang, Lihua Guo, Xin Yang, Sijuan Huang

CoRR, 2021

2019

A Content-Aware Image Retargeting Quality Assessment Method Using Foreground and Global Measurement.

Yuwei Li, Lihua Guo, Lianwen Jin

IEEE Access, 2019

PARN: Position-Aware Relation Networks for Few-Shot Learning.

Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

From Easy to Difficult: A Self-Paced Multi-Task Joint Sparse Representation Method.

Lihua Guo

IEICE Trans. Inf. Syst., 2018

Self-Paced Learning with Statistics Uncertainty Prior.

Lihua Guo

IEICE Trans. Inf. Syst., 2018

Two-stage local constrained sparse coding for fine-grained visual categorization.

Lihua Guo, Chenggang Guo, Lei Li, Qinghua Huang, Yanshan Li, Xuelong Li

Sci. China Inf. Sci., 2018

2016

Study on coordinated relationship between urban rail transit and land-use.

Yuling Zhang, Lihua Guo

Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016

A deep sparse coding method for fine-grained visual categorization.

Lihua Guo, Chenggan Guo

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Image Aesthetic Evaluation Using Parallel Deep Convolution Neural Network.

Lihua Guo, Fudi Li, Alan Wee-Chung Liew

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Online-Offline Extreme Learning Machine with Concept Drift Tracking for Time Series Data.

Lihua Guo, Alan Wee-Chung Liew

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures.

Lihua Guo, Alan Wee-Chung Liew

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015

Manifold Kernel Metric Learning for Larger-Scale Image Annotation.

Lihua Guo

IEICE Trans. Inf. Syst., 2015

Image aesthetic evaluation using paralleled deep convolution neural network.

Lihua Guo, Fudi Li

CoRR, 2015

A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization.

Lihua Guo, Chenggan Guo

CoRR, 2015

A novel method for solving a class of second order nonlinear differential equations with finitely many singularities.

Boying Wu, Lihua Guo, Dazhi Zhang

Appl. Math. Lett., 2015

2014

Image esthetic assessment using both hand-crafting and semantic features.

Lihua Guo, Yangchao Xiong, Qinghua Huang, Xuelong Li

Neurocomputing, 2014

2013

Locality-Constrained Multi-Task Joint Sparse Representation for Image Classification.

Lihua Guo

IEICE Trans. Inf. Syst., 2013

2011

Laplacian Support Vector Machines with Multi-Kernel Learning.

Lihua Guo, Lianwen Jin

IEICE Trans. Inf. Syst., 2011

Smile Expression Classification Using the Improved BIF Feature.

Lihua Guo

Proceedings of the Sixth International Conference on Image and Graphics, 2011

2009

A novel feature extraction method using Pyramid Histogram of Orientation Gradients for smile recognition.

Yang Bai, Lihua Guo, Lianwen Jin, Qinghua Huang

Proceedings of the International Conference on Image Processing, 2009