Liang Lan

34 papers A* 7A 1B 2Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis.
IEEE Trans. Neural Networks Learn. Syst.
Weichao Lan, Yiu-ming Cheung, Liang Lan, Juyong Jiang, Zhikai Hu
2024 — conf
Analyze Trolling Behavior Trends in Chinese Mobile Game Forums Using Sentiment Analysis.
WI/IAT
Yiming Ni, Paolo Mengoni, Liang Lan
2024 A* conf
Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model.
WWW
Yifeng Luo, Yupeng Li, Dacheng Wen, Liang Lan
2023 J jnl
A Survey of Cross-Lingual Text Classification and Its Applications on Fake News Detection.
World Sci. Annu. Rev. Artif. Intell.
Liang Lan, Tao Huang, Yupeng Li, Yunya Song
2023 J jnl
Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization.
IEEE Access
Yu Geng, Liang Lan, William K. Cheung
2022 B conf
An AI-based System to Assist Human Fact-Checkers for Labeling Cantonese Fake News on Social Media.
IEEE Big Data
Zi Hen Lin, Ziwei Wang, Minzhu Zhao, Yunya Song, Liang Lan
2022 B conf
Sentiment Analysis of Political Posts on Hong Kong Local Forums Using Fine-Tuned mBERT.
IEEE Big Data
Guanrong Li, Ziwei Wang, Minzhu Zhao, Yunya Song, Liang Lan
2021 — conf
A Study of Cantonese Covid-19 Fake News Detection on Social Media.
IEEE BigData
Ziwei Wang, Minzhu Zhao, Yu Chen, Yunya Song, Liang Lan
2021 A* conf
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters.
AAAI
Weichao Lan, Liang Lan
2021 J jnl
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data.
Briefings Bioinform.
Jiaxing Chen, Chinwang Cheong, Liang Lan, Xin Zhou, Jiming Liu, Aiping Lyu, William K. Cheung, Lu Zhang
2021 A* conf
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients.
AAAI
Zijian Lei, Liang Lan
2021 J jnl
Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients.
CoRR
Yu Geng, Liang Lan
2020 J jnl
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters.
CoRR
Weichao Lan, Liang Lan
2020 J jnl
Effective and Sparse Count-Sketch via k-means clustering.
CoRR
Yuhan Wang, Zijian Lei, Liang Lan
2020 A* conf
Improved Subsampled Randomized Hadamard Transform for Linear SVM.
AAAI
Zijian Lei, Liang Lan
2020 J jnl
Improved Subsampled Randomized Hadamard Transform for Linear SVM.
CoRR
Zijian Lei, Liang Lan
2020 J jnl
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients.
CoRR
Zijian Lei, Liang Lan
2019 A* conf
Accurate and Interpretable Factorization Machines.
AAAI
Liang Lan, Yu Geng
2019 J jnl
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.
IEEE Trans. Neural Networks Learn. Syst.
Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
2017 J jnl
Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell.
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
2015 J jnl
Promises and Challenges of Big Data Computing in Health Sciences.
Big Data Res.
Tao Huang, Liang Lan, Xuexian Fang, Peng An, Junxia Min, Fudi Wang
2015 J jnl
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines.
IEEE Trans. Neural Networks Learn. Syst.
Kai Zhang, Liang Lan, James T. Kwok, Slobodan Vucetic, Bahram Parvin
2014 — conf
OceanRT: real-time analytics over large temporal data.
SIGMOD Conference
Shiming Zhang, Yin Yang, Wei Fan, Liang Lan, Mingxuan Yuan
2014 J jnl
Sparse semi-supervised learning on low-rank kernel.
Neurocomputing
Kai Zhang, Qiaojun Wang, Liang Lan, Yu Sun, Ivan Marsic
2014 A* conf
Spatial Scan for Disease Mapping on a Mobile Population.
AAAI
Liang Lan, Vuk Malbasa, Slobodan Vucetic
2013 J jnl
BudgetedSVM: a toolbox for scalable SVM approximations.
J. Mach. Learn. Res.
Nemanja Djuric, Liang Lan, Slobodan Vucetic, Zhuang Wang
2013 J jnl
MS-kNN: protein function prediction by integrating multiple data sources.
BMC Bioinform.
Liang Lan, Nemanja Djuric, Yuhong Guo, Slobodan Vucetic
2012 A* conf
Improved Nystrom Low-rank Decomposition with Priors.
ICML
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber
2012 J jnl
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
CoRR
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber, Fabian Moerchen
2012 J jnl
Mixture Model for Multiple Instance Regression and Applications in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens.
Zhuang Wang, Liang Lan, Slobodan Vucetic
2012 A conf
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach.
AISTATS
Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen
2011 — conf
Active Learning Based on Parzen Window.
Active Learning and Experimental Design @ AISTATS
Liang Lan, Haidong Shi, Zhuang Wang, Slobodan Vucetic
2011 J jnl
Improving accuracy of microarray classification by a simple multi-task feature selection filter.
Int. J. Data Min. Bioinform.
Liang Lan, Slobodan Vucetic
2009 — conf
A Multi-task Feature Selection Filter for Microarray Classification.
BIBM
Liang Lan, Slobodan Vucetic