Yujun Yan
12 papers · 2020–2026 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (28) π Academic Marathon (5) π Cross-Pollinator (14) π Renaissance Researcher (5) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(4)
β‘
Prolific Year
(5)
π
Century Club
(11)
β
The Questioner
Conferences
NIPS (5)
ICML (3)
ACL (2)
EMNLP (2)
Top co-authors
Keywords
graph neural network
(4)
representation learning
(3)
neural network
(2)
transfer learning
(1)
graph classification
(1)
embedding learning
(1)
eeg classification
(1)
attention mechanism
(1)
knowledge editing
(1)
dependency parsing
(1)
llm evaluation
(1)
out-of-distribution generalization
(1)
non-iid learning
(1)
time series classification
(1)
time-series classification
(1)
spectral analysis
(1)
lifelong learning
(1)
bias mitigation
(1)
algorithmic reasoning
(1)
backdoor defense
(1)
Papers
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge
EMNLP 2025
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models
ACL 2025
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
EMNLP 2025
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
ICML 2025
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
ICML 2024
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
NIPS 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
NIPS 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
ICML 2024
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
NIPS 2024
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
NIPS 2020
Neural Execution Engines: Learning to Execute Subroutines
NIPS 2020