Xuemin Lin
12 papers · 2015–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
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Keywords
multi-task learning
(3)
text classification
(2)
graph algorithm
(2)
graph neural network
(2)
network stability
(2)
transfer learning
(1)
data transformation
(1)
link prediction
(1)
data integration
(1)
randomized algorithm
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multimodal learning
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communication complexity
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distributed computing
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social network analysis
(1)
gradient-based optimization
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generalization bound
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generalization error bound
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matrix sketching
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canonical correlation analysis
(1)
principal component analysis
(1)
Papers
Empowering Tabular Data Preparation with Language Models: Why and How?
ACL 2026
Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
AAAI 2026
Hypergraph Self-supervised Learning with Sampling-efficient Signals
IJCAI 2024
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning
ACL 2022
BanditMTL: Bandit-based Multi-task Learning for Text Classification
ACL 2021
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA
JMLR 2021
Adaptive Adversarial Multi-task Representation Learning
ICML 2020
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
IJCAI 2020
K-Core Maximization: An Edge Addition Approach
IJCAI 2019
Pivotal Relationship Identification: The K-Truss Minimization Problem
IJCAI 2019
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering
IJCAI 2016
Learning Term Embeddings for Hypernymy Identification
IJCAI 2015