Ling Huang
16 papers · 2006–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (6)
πΊοΈ
Taxonomy Completionist
(13)
π
Conference Polyglot
(6)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
π±
Topic Pioneer
π
Keyword Champion
π
Trend Setter
π
Century Club
(16)
π
Conference Pioneer
ποΈ
Keyword Collector
(99)
β‘
Prolific Year
(5)
Conferences
AAAI (4)
NIPS (4)
IJCAI (3)
ACL (2)
AISTATS (2)
JMLR (1)
Top co-authors
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
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
ACL 2025
DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities
IJCAI 2025
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection
AAAI 2020
Multi-View Clustering in Latent Embedding Space
AAAI 2020
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
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
AAAI 2019
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism
IJCAI 2019
Large-Margin Convex Polytope Machine
NIPS 2014
Query Strategies for Evading Convex-Inducing Classifiers
JMLR 2012
Near-Optimal Evasion of Convex-Inducing Classifiers
AISTATS 2010
Semi-Supervised Learning with Max-Margin Graph Cuts
AISTATS 2010
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
NIPS 2010
Spectral Clustering with Perturbed Data
NIPS 2008
In-Network PCA and Anomaly Detection
NIPS 2006