Dongsheng Luo
17 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(23)
π
Interdisciplinary Bridge
π§¬
Topic Evolution
π
Triple Crown
π
Grand Slam
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Century Club
(16)
Conferences
ICLR (4)
AAAI (3)
ICML (3)
NIPS (3)
ACL (2)
IJCAI (2)
Top co-authors
Keywords
graph neural network
(5)
model interpretability
(3)
large language model
(3)
time series
(2)
data augmentation
(2)
representation learning
(2)
self-supervised learning
(2)
node classification
(2)
graph information bottleneck
(2)
graph representation learning
(2)
contrastive learning
(2)
information bottleneck
(2)
multi-modal learning
(1)
causal discovery
(1)
attention mechanism
(1)
semi-supervised learning
(1)
decision boundary
(1)
recurrent neural network
(1)
image encoding
(1)
mutual information
(1)
Papers
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
AAAI 2026
Harnessing Vision Models for Time Series Analysis: A Survey
IJCAI 2025
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
ICML 2025
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
ICLR 2025
MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
ACL 2025
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
ACL 2025
TimeX++: Learning Time-Series Explanations with Information Bottleneck
ICML 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
ICLR 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NIPS 2024
Factorized Explainer for Graph Neural Networks
AAAI 2024
Explaining Time Series via Contrastive and Locally Sparse Perturbations
ICLR 2024
Parametric Augmentation for Time Series Contrastive Learning
ICLR 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
ICML 2024
Time Series Contrastive Learning with Information-Aware Augmentations
AAAI 2023
InfoGCL: Information-Aware Graph Contrastive Learning
NIPS 2021
Parameterized Explainer for Graph Neural Network
NIPS 2020
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
IJCAI 2019