Yujun Yan
12 papers · 2020–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (53)
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The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Deep Learning
(7)
Core Methods
(7)
Architectures
(6)
Core AI
(6)
Application Areas
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Learning Types · Deep Learning
(2)
Natural Language Processing
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
graph neural network
(5)
representation learning
(3)
neural network
(2)
transfer learning
(1)
graph classification
(1)
embedding learning
(1)
eeg classification
(1)
backdoor defense
(1)
attention mechanism
(1)
knowledge editing
(1)
dependency parsing
(1)
llm evaluation
(1)
out-of-distribution generalization
(1)
non-iid learning
(1)
spectral analysis
(1)
time series classification
(1)
lifelong learning
(1)
generative model
(1)
bias mitigation
(1)
interpretability
(1)
Papers
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
EMNLP 2025
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge
EMNLP 2025
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
ICML 2025
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models
ACL 2025
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
ICML 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
ICML 2024
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
NeurIPS 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
NeurIPS 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
NeurIPS 2024
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
NeurIPS 2020
Neural Execution Engines: Learning to Execute Subroutines
NeurIPS 2020