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Liang LAN, Dr
Senior Lecturer
,
Department of Interactive Media
https://orcid.org/0000-0002-0427-977X
Email
lanliang
hkbu.edu
hk
2017
2026
Research activity per year
Overview
Fingerprint
Network
Projects / Grants
(3)
Research Output
(30)
Similar Scholars
(6)
Fingerprint
Dive into the research topics where Liang LAN is active. Topic labels come from the works of this scholar. Together they form a unique fingerprint.
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Keyphrases
Genomic Signature
66%
Single-cell RNA-seq Data
66%
Convolution Filters
66%
Factorization Machines
66%
Memory Efficiency
66%
Deep Neural Network
66%
Artificial Intelligence
66%
Fake News Detection
66%
Gene Regulatory Network
66%
Cell-type-specific Gene Expression
66%
Sentiment Analysis
66%
Social Media
56%
Drug Repurposing
55%
Molecular Genetics
55%
Granzyme B
55%
Disease Diagnosis
50%
Single-cell RNA Sequencing (scRNA-seq)
50%
COVID-19
50%
Memory Cost
48%
Traditional Machine Learning
46%
Differentiation Markers
44%
Rheumatoid Arthritis
44%
Subpopulation Differentiation
44%
Fake News on Social Media
41%
Low-rank Decomposition
41%
Hong Kong
41%
Gene Expression
41%
Machine Learning Techniques
38%
Gene Pairs
36%
Machine Learning Algorithms
36%
Coronary Patients
33%
Continuous Max-flow
33%
Drug Combination Prediction
33%
Registration Data
33%
Set-valued Extension
33%
Cross-lingual Text Classification
33%
Nystrm Method
33%
Binary Convolution
33%
Machine Learning Approach
33%
Subsampled Randomized Hadamard Transform
33%
Genomic Data
33%
Kernel Support Vector Machine
33%
Linearization Techniques
33%
Multilingual BERT
33%
Political Posts
33%
Message Injection
33%
Ternary Model
33%
Linear SVM
33%
Drug Combination
33%
Fact-checkers
33%
Computer Science
Support Vector Machine
100%
Artificial Intelligence
100%
Experimental Result
71%
Convolution Filter
66%
Feature Interaction
66%
Sentiment Analysis
66%
Fake News Detection
66%
Learning System
54%
Annotation
50%
Convolutional Neural Network
38%
Machine Learning
37%
Bidirectional Encoder Representations From Transformers
33%
Sparse Linear Combination
33%
Large Language Model
33%
Hadamard Transform
33%
Feature Mapping
33%
Efficient Computation
33%
Time Complexity
33%
Text Classification
33%
binarization
33%
Deep Convolutional Neural Networks
33%
Decomposition Matrix
33%
COVID-19
33%
Transformer Model
33%
Compression Ratio
27%
Sparsity
27%
Neural Network Model
27%
Deep Learning Method
22%
Linear Combination
22%
Online Community
22%
Online Discourse
22%
Computational Cost
20%
Approximation (Algorithm)
20%
Binary Constraint
16%
Multiple Kernel Learning
16%
Binary Coefficient
16%
Scoring System
16%
Detection Function
16%
Interpretability
16%
Automatic Detection
16%
Learning Approach
16%
Kernel Method
16%
Supervised Classification
16%
Gradient Descent
16%
Dimensional Subspace
16%
Generalization Performance
16%
Performance Evaluation
16%
Classification Rule
16%
Learning Target
16%
Side Information
16%
