Lin Lin
8 papers · 2017–2026 · 6 venues · across top CS/AI venues
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird
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Machine Learning
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Deep Learning
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Artificial Intelligence
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Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
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Natural Language Processing
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Keywords
large language model
(3)
mixture model
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dimension reduction
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contrastive learning
(1)
self-supervised learning
(1)
question answering
(1)
prototype learning
(1)
information retrieval
(1)
time series generation
(1)
model interpretability
(1)
generative model
(1)
multi-view learning
(1)
semiparametric estimation
(1)
elastic net
(1)
monte carlo tree search
(1)
chain-of-thought reasoning
(1)
hidden markov model
(1)
diffusion model
(1)
embedding learning
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representation learning
(1)
Papers
K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation
AAAI 2026
Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration
CVPR 2025
MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs
AAAI 2025
A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables
JMLR 2024
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance
EMNLP 2024
Interpretable Representation Learning from Temporal
Multi-view Data
ACML 2022
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NeurIPS 2018
Clustering with Hidden Markov Model on Variable Blocks
JMLR 2017