Liang Lan

Orcid: 0000-0002-0427-977X

According to our database¹, Liang Lan authored at least 29 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

2023

A Survey of Cross-Lingual Text Classification and Its Applications on Fake News Detection.

[BibT_eX]

[DOI]

World Sci. Annu. Rev. Artif. Intell., 2023

Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization.

[BibT_eX]

[DOI]

Yu Geng

Liang Lan

William K. Cheung

IEEE Access, 2023

2022

An AI-based System to Assist Human Fact-Checkers for Labeling Cantonese Fake News on Social Media.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Sentiment Analysis of Political Posts on Hong Kong Local Forums Using Fine-Tuned mBERT.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients.

[BibT_eX]

[DOI]

Yu Geng

Liang Lan

CoRR, 2021

DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

A Study of Cantonese Covid-19 Fake News Detection on Social Media.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients.

[BibT_eX]

[DOI]

Zijian Lei

Liang Lan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters.

[BibT_eX]

[DOI]

Weichao Lan

Liang Lan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Effective and Sparse Count-Sketch via k-means clustering.

[BibT_eX]

[DOI]

Yuhan Wang

Zijian Lei

Liang Lan

CoRR, 2020

Improved Subsampled Randomized Hadamard Transform for Linear SVM.

[BibT_eX]

[DOI]

Zijian Lei

Liang Lan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Accurate and Interpretable Factorization Machines.

[BibT_eX]

[DOI]

Liang Lan

Yu Geng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.

[BibT_eX]

[DOI]

Artif. Intell., 2017

2015

Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Promises and Challenges of Big Data Computing in Health Sciences.

[BibT_eX]

[DOI]

Big Data Res., 2015

2014

Sparse semi-supervised learning on low-rank kernel.

[BibT_eX]

[DOI]

Neurocomputing, 2014

OceanRT: real-time analytics over large temporal data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Management of Data, 2014

Spatial Scan for Disease Mapping on a Mobile Population.

[BibT_eX]

[DOI]

Liang Lan

Vuk Malbasa

Slobodan Vucetic

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

BudgetedSVM: a toolbox for scalable SVM approximations.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

MS-kNN: protein function prediction by integrating multiple data sources.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

2012

Mixture Model for Multiple Instance Regression and Applications in Remote Sensing.

[BibT_eX]

[DOI]

Zhuang Wang

Liang Lan

Slobodan Vucetic

IEEE Trans. Geosci. Remote. Sens., 2012

Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method

[BibT_eX]

[DOI]

CoRR, 2012

Improved Nystrom Low-rank Decomposition with Priors.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Active Learning Based on Parzen Window.

[BibT_eX]

[DOI]

Proceedings of the Active Learning and Experimental Design workshop, 2011

Improving accuracy of microarray classification by a simple multi-task feature selection filter.

[BibT_eX]

[DOI]

Liang Lan

Slobodan Vucetic

Int. J. Data Min. Bioinform., 2011

2009

A Multi-task Feature Selection Filter for Microarray Classification.

[BibT_eX]

[DOI]

Liang Lan

Slobodan Vucetic

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

Liang Lan

Timeline

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