Lihua Guo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 24

Top Topics

Image Retargeting

Extreme Learning Machine

Top Venues

IEICE Trans. Inf. Syst.

Sci. China Inf. Sci.

Publications

Liancheng Xu, Lihua Guo, Xiaoqi Wu, Xinhua Wang, Lei Guo
Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network. ICIC (4) (2024)
Yiwei Hou, Lihua Guo, Chijin Zhou, Yiwen Xu, Zijing Yin, Shanshan Li, Chengnian Sun, Yu Jiang
An Empirical Study of Data Disruption by Ransomware Attacks. ICSE (2024)
Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR (2024)
Kangjun Liu, Ke Chen, Lihua Guo, Yaowei Wang, Kui Jia
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States. CoRR (2023)
Chijin Zhou, Lihua Guo, Yiwei Hou, Zhenya Ma, Quan Zhang, Mingzhe Wang, Zhe Liu, Yu Jiang
Limits of I/O Based Ransomware Detection: An Imitation Based Attack. SP (2023)
Yu Xiao, Xin Yang, Sijuan Huang, Yongkai Liu, Shuqin Chen, Lihua Guo
A Subabdominal MRI Image Segmentation Algorithm Based on Multi-Scale Feature Pyramid Network and Dual Attention Mechanism. CoRR (2023)
Qi Ye, Lihua Guo
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models. CoRR (2023)
Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu
Towards Better Semantics Exploration for Browser Fuzzing. Proc. ACM Program. Lang. 7 (OOPSLA2) (2023)
Chijin Zhou, Quan Zhang, Mingzhe Wang, Lihua Guo, Jie Liang, Zhe Liu, Mathias Payer, Yu Jiang
Minerva: browser API fuzzing with dynamic mod-ref analysis. ESEC/SIGSOFT FSE (2022)
Lihua Guo, Dawu Chen, Kui Jia
Knowledge transferred adaptive filter pruning for CNN compression and acceleration. Sci. China Inf. Sci. 65 (12) (2022)
Ruixiang Qian, Quanjun Zhang, Chunrong Fang, Lihua Guo
Investigating Coverage Guided Fuzzing with Mutation Testing. CoRR (2022)
Ruixiang Qian, Quanjun Zhang, Chunrong Fang, Lihua Guo
Investigating Coverage Guided Fuzzing with Mutation Testing. Internetware (2022)
Zexi Huang, Lihua Guo, Xin Yang, Sijuan Huang
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma. CoRR (2021)
Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia
PARN: Position-Aware Relation Networks for Few-Shot Learning. ICCV (2019)
Yuwei Li, Lihua Guo, Lianwen Jin
A Content-Aware Image Retargeting Quality Assessment Method Using Foreground and Global Measurement. IEEE Access 7 (2019)
Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia
PARN: Position-Aware Relation Networks for Few-Shot Learning. CoRR (2019)
Lihua Guo
Self-Paced Learning with Statistics Uncertainty Prior. IEICE Trans. Inf. Syst. (3) (2018)
Lihua Guo, Chenggang Guo, Lei Li, Qinghua Huang, Yanshan Li, Xuelong Li
Two-stage local constrained sparse coding for fine-grained visual categorization. Sci. China Inf. Sci. 61 (1) (2018)
Lihua Guo
From Easy to Difficult: A Self-Paced Multi-Task Joint Sparse Representation Method. IEICE Trans. Inf. Syst. (8) (2018)
Yuling Zhang, Lihua Guo
Study on coordinated relationship between urban rail transit and land-use. LISS (2016)
Lihua Guo, Fudi Li, Alan Wee-Chung Liew
Image Aesthetic Evaluation Using Parallel Deep Convolution Neural Network. DICTA (2016)
Lihua Guo, Chenggan Guo
A deep sparse coding method for fine-grained visual categorization. IJCNN (2016)
Lihua Guo, Alan Wee-Chung Liew
Online-Offline Extreme Learning Machine with Concept Drift Tracking for Time Series Data. DICTA (2016)
Lihua Guo, Alan Wee-Chung Liew
An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures. DICTA (2016)
Boying Wu, Lihua Guo, Dazhi Zhang
A novel method for solving a class of second order nonlinear differential equations with finitely many singularities. Appl. Math. Lett. 41 (2015)
Lihua Guo, Chenggan Guo
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization. CoRR (2015)
Lihua Guo, Fudi Li
Image aesthetic evaluation using paralleled deep convolution neural network. CoRR (2015)
Lihua Guo
Manifold Kernel Metric Learning for Larger-Scale Image Annotation. IEICE Trans. Inf. Syst. (7) (2015)
Lihua Guo, Yangchao Xiong, Qinghua Huang, Xuelong Li
Image esthetic assessment using both hand-crafting and semantic features. Neurocomputing 143 (2014)
Lihua Guo
Locality-Constrained Multi-Task Joint Sparse Representation for Image Classification. IEICE Trans. Inf. Syst. (9) (2013)
Lihua Guo
Smile Expression Classification Using the Improved BIF Feature. ICIG (2011)
Lihua Guo, Lianwen Jin
Laplacian Support Vector Machines with Multi-Kernel Learning. IEICE Trans. Inf. Syst. (2) (2011)
Yang Bai, Lihua Guo, Lianwen Jin, Qinghua Huang
A novel feature extraction method using Pyramid Histogram of Orientation Gradients for smile recognition. ICIP (2009)