Lin Lin
8 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (6) π Academic Marathon (8) π Cross-Pollinator (12) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(22)
π§¬
Topic Evolution
Conferences
AAAI (2)
JMLR (2)
ACML (1)
CVPR (1)
EMNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(3)
mixture model
(2)
dimension reduction
(2)
contrastive learning
(1)
self-supervised learning
(1)
question answering
(1)
prototype learning
(1)
information retrieval
(1)
time series generation
(1)
model interpretability
(1)
diffusion model
(1)
elastic net
(1)
monte carlo tree search
(1)
hidden markov model
(1)
chain-of-thought reasoning
(1)
embedding learning
(1)
disentangled representation
(1)
recurrent neural network
(1)
variational autoencoder
(1)
causal inference
(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
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance
EMNLP 2024
A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables
JMLR 2024
Interpretable Representation Learning from Temporal
Multi-view Data
ACML 2022
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NIPS 2018
Clustering with Hidden Markov Model on Variable Blocks
JMLR 2017