A Multi-task Feature Selection Filter for Microarray Classification. - Liang Lan; Slobodan Vucetic (BIBM, 2009)

Improving accuracy of microarray classification by a simple multi-task feature selection filter. - Liang Lan; Slobodan Vucetic (Int. J. Data Min. Bioinform., 2011)

Active Learning Based on Parzen Window. - Liang Lan; Haidong Shi; Zhuang Wang; Slobodan Vucetic (Active Learning and Experimental Design @ AISTATS, 2011)

Improved Nystrom Low-rank Decomposition with Priors. - Kai Zhang 001; Liang Lan; Jun Liu 003; Andreas Rauber (ICML, 2012)

Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method - Kai Zhang 001; Liang Lan; Jun Liu 003; Andreas Rauber; Fabian Moerchen (CoRR, 2012)

Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. - Kai Zhang 001; Liang Lan; Zhuang Wang; Fabian Moerchen (AISTATS, 2012)

Mixture Model for Multiple Instance Regression and Applications in Remote Sensing. - Zhuang Wang; Liang Lan; Slobodan Vucetic (IEEE Trans. Geosci. Remote. Sens., 2012)

MS-kNN: protein function prediction by integrating multiple data sources. - Liang Lan; Nemanja Djuric; Yuhong Guo; Slobodan Vucetic (BMC Bioinform., 2013)

BudgetedSVM: a toolbox for scalable SVM approximations. - Nemanja Djuric; Liang Lan; Slobodan Vucetic; Zhuang Wang (J. Mach. Learn. Res., 2013)

Spatial Scan for Disease Mapping on a Mobile Population. - Liang Lan; Vuk Malbasa; Slobodan Vucetic (AAAI, 2014)

OceanRT: real-time analytics over large temporal data. - Shiming Zhang; Yin Yang 001; Wei Fan 001; Liang Lan; Mingxuan Yuan (SIGMOD Conference, 2014)

Sparse semi-supervised learning on low-rank kernel. - Kai Zhang 001; Qiaojun Wang; Liang Lan; Yu Sun; Ivan Marsic (Neurocomputing, 2014)

Promises and Challenges of Big Data Computing in Health Sciences. - Tao Huang 004; Liang Lan; Xuexian Fang; Peng An; Junxia Min; FuDi Wang (Big Data Res., 2015)

Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines. - Kai Zhang 001; Liang Lan; James T. Kwok; Slobodan Vucetic; Bahram Parvin (IEEE Trans. Neural Networks Learn. Syst., 2015)

Low-rank decomposition meets kernel learning: A generalized Nyström method. - Liang Lan; Kai Zhang 001; Hancheng Ge; Wei Cheng 002; Jun Liu 003; Andreas Rauber; Xiaoli Li 001; Jun Wang 006; Hongyuan Zha (Artif. Intell., 2017)

Accurate and Interpretable Factorization Machines. - Liang Lan; Yu Geng 002 (AAAI, 2019)

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. - Liang Lan; Zhuang Wang; Shandian Zhe; Wei Cheng 002; Jun Wang 006; Kai Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Improved Subsampled Randomized Hadamard Transform for Linear SVM. - Zijian Lei; Liang Lan (AAAI, 2020)

Effective and Sparse Count-Sketch via k-means clustering. - Yuhan Wang; Zijian Lei; Liang Lan (CoRR, 2020)

Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters. - Weichao Lan; Liang Lan (AAAI, 2021)

Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients. - Zijian Lei; Liang Lan (AAAI, 2021)

A Study of Cantonese Covid-19 Fake News Detection on Social Media. - Ziwei Wang; Minzhu Zhao; Yu Chen; Yunya Song; Liang Lan (IEEE BigData, 2021)

DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data. - Jiaxing Chen; Chinwang Cheong; Liang Lan; Xin Zhou; Jiming Liu 001; Aiping Lyu; William K. Cheung 001; Lu Zhang 061 (Briefings Bioinform., 2021)

Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients. - Yu Geng 002; Liang Lan (CoRR, 2021)

Sentiment Analysis of Political Posts on Hong Kong Local Forums Using Fine-Tuned mBERT. - Guanrong Li; Ziwei Wang; Minzhu Zhao; Yunya Song; Liang Lan (IEEE Big Data, 2022)

An AI-based System to Assist Human Fact-Checkers for Labeling Cantonese Fake News on Social Media. - Zi Hen Lin; Ziwei Wang; Minzhu Zhao; Yunya Song; Liang Lan (IEEE Big Data, 2022)

Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization. - Yu Geng 002; Liang Lan; William K. Cheung 001 (IEEE Access, 2023)

A Survey of Cross-Lingual Text Classification and Its Applications on Fake News Detection. - Liang Lan; Tao Huang 004; Yupeng Li 001; Yunya Song (World Sci. Annu. Rev. Artif. Intell., 2023)

Analyze Trolling Behavior Trends in Chinese Mobile Game Forums Using Sentiment Analysis. - Yiming Ni; Paolo Mengoni; Liang Lan (WI/IAT, 2024)

Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model. - Yifeng Luo; Yupeng Li 001; Dacheng Wen; Liang Lan (WWW, 2024)

Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis. - Weichao Lan; Yiu-Ming Cheung; Liang Lan; Juyong Jiang; Zhikai Hu (IEEE Trans. Neural Networks Learn. Syst., 2025)