Ling Huang
16 papers · 2006–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (49) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(5)
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(104)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(16)
Core Methods
(13)
Learning Types
(9)
Data Science & Analytics
(6)
Deep Learning
(5)
Applications Β· Data Science & Analytics
(5)
Computer Science
(3)
Mathematics & Optimization
(3)
Methods
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications Β· Computer Science
(2)
Keywords
convex optimization
(3)
community detection
(3)
adversarial learning
(2)
support vector machine
(2)
network analysis
(2)
classifier evasion
(2)
multi-view clustering
(2)
recommendation system
(2)
collaborative filtering
(2)
semi-supervised learning
(1)
network anomaly detection
(1)
principal component analysis
(1)
statistical analysis
(1)
manifold regularization
(1)
dimensionality reduction
(1)
anomaly detection
(1)
stochastic gradient descent
(1)
large margin
(1)
self-supervised learning
(1)
spectral clustering
(1)
Papers
DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities
IJCAI 2025
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
ACL 2025
Multi-View Clustering in Latent Embedding Space
AAAI 2020
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection
AAAI 2020
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism
IJCAI 2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
AAAI 2019
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
ACL 2019
Higher-Order Multi-Layer Community Detection
AAAI 2019
Unsupervised Multi-view Learning
IJCAI 2019
Large-Margin Convex Polytope Machine
NeurIPS 2014
Query Strategies for Evading Convex-Inducing Classifiers
JMLR 2012
Near-Optimal Evasion of Convex-Inducing Classifiers
AISTATS 2010
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
NeurIPS 2010
Semi-Supervised Learning with Max-Margin Graph Cuts
AISTATS 2010
Spectral Clustering with Perturbed Data
NeurIPS 2008
In-Network PCA and Anomaly Detection
NeurIPS 2006