Liang Lan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 18

Top Topics

Convolutional Neural Networks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yifeng Luo, Yupeng Li, Dacheng Wen, Liang Lan
Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model. WWW (2024)
Liang Lan, Tao Huang, Yupeng Li, Yunya Song
A Survey of Cross-Lingual Text Classification and Its Applications on Fake News Detection. World Sci. Annu. Rev. Artif. Intell. 1 (2023)
Yu Geng, Liang Lan, William K. Cheung
Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization. IEEE Access 11 (2023)
Zi Hen Lin, Ziwei Wang, Minzhu Zhao, Yunya Song, Liang Lan
An AI-based System to Assist Human Fact-Checkers for Labeling Cantonese Fake News on Social Media. Big Data (2022)
Guanrong Li, Ziwei Wang, Minzhu Zhao, Yunya Song, Liang Lan
Sentiment Analysis of Political Posts on Hong Kong Local Forums Using Fine-Tuned mBERT. Big Data (2022)
Yu Geng, Liang Lan
Memory-Efficient Factorization Machines via Binarizing both Data and Model Coefficients. CoRR (2021)
Zijian Lei, Liang Lan
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients. AAAI (2021)
Jiaxing Chen, Chinwang Cheong, Liang Lan, Xin Zhou, Jiming Liu, Aiping Lyu, William K. Cheung, Lu Zhang
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data. Briefings Bioinform. 22 (6) (2021)
Ziwei Wang, Minzhu Zhao, Yu Chen, Yunya Song, Liang Lan
A Study of Cantonese Covid-19 Fake News Detection on Social Media. IEEE BigData (2021)
Weichao Lan, Liang Lan
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters. AAAI (2021)
Yuhan Wang, Zijian Lei, Liang Lan
Effective and Sparse Count-Sketch via k-means clustering. CoRR (2020)
Zijian Lei, Liang Lan
Improved Subsampled Randomized Hadamard Transform for Linear SVM. CoRR (2020)
Zijian Lei, Liang Lan
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients. CoRR (2020)
Zijian Lei, Liang Lan
Improved Subsampled Randomized Hadamard Transform for Linear SVM. AAAI (2020)
Weichao Lan, Liang Lan
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters. CoRR (2020)
Liang Lan, Yu Geng
Accurate and Interpretable Factorization Machines. AAAI (2019)
Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250 (2017)
Tao Huang, Liang Lan, Xuexian Fang, Peng An, Junxia Min, FuDi Wang
Promises and Challenges of Big Data Computing in Health Sciences. Big Data Res. 2 (1) (2015)
Kai Zhang, Liang Lan, James T. Kwok, Slobodan Vucetic, Bahram Parvin
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Liang Lan, Vuk Malbasa, Slobodan Vucetic
Spatial Scan for Disease Mapping on a Mobile Population. AAAI (2014)
Shiming Zhang, Yin Yang, Wei Fan, Liang Lan, Mingxuan Yuan
OceanRT: real-time analytics over large temporal data. SIGMOD Conference (2014)
Kai Zhang, Qiaojun Wang, Liang Lan, Yu Sun, Ivan Marsic
Sparse semi-supervised learning on low-rank kernel. Neurocomputing 129 (2014)
Nemanja Djuric, Liang Lan, Slobodan Vucetic, Zhuang Wang
BudgetedSVM: a toolbox for scalable SVM approximations. J. Mach. Learn. Res. 14 (1) (2013)
Liang Lan, Nemanja Djuric, Yuhong Guo, Slobodan Vucetic
MS-kNN: protein function prediction by integrating multiple data sources. BMC Bioinform. 14 (S-3) (2013)
Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. AISTATS (2012)
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber
Improved Nystrom Low-rank Decomposition with Priors. ICML (2012)
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber, Fabian Moerchen
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method CoRR (2012)
Zhuang Wang, Liang Lan, Slobodan Vucetic
Mixture Model for Multiple Instance Regression and Applications in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 50 (6) (2012)
Liang Lan, Slobodan Vucetic
Improving accuracy of microarray classification by a simple multi-task feature selection filter. Int. J. Data Min. Bioinform. 5 (2) (2011)
Liang Lan, Haidong Shi, Zhuang Wang, Slobodan Vucetic
Active Learning Based on Parzen Window. Active Learning and Experimental Design @ AISTATS (2011)
Liang Lan, Slobodan Vucetic
A Multi-task Feature Selection Filter for Microarray Classification. BIBM (2009)