Haitao Mao
15 papers · 2022–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (27) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer
π€
Dynamic Duo
(12)
π
Triple Crown
π₯
Mega-Team
(20)
π
Century Club
(15)
β‘
Prolific Year
(6)
β
The Questioner
Conferences
NIPS (6)
ICML (3)
ICLR (2)
AACL (1)
EMNLP (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(5)
large language model
(4)
intrinsic self-correction
(2)
node classification
(2)
domain adaptation
(2)
graph representation
(2)
moral reasoning
(2)
ai safety
(2)
convergence analysis
(1)
learning to rank
(1)
text generation
(1)
multi-view learning
(1)
alternating optimization
(1)
distribution shift
(1)
model uncertainty
(1)
harmful content
(1)
in-context learning
(1)
inductive bia
(1)
foundation model
(1)
convolutional neural network
(1)
Papers
On the Convergence of Moral Self-Correction in Large Language Models
AACL 2025
A Survey to Recent Progress Towards Understanding In-Context Learning
NAACL 2025
On the Convergence of Moral Self-Correction in Large Language Models
IJCNLP 2025
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis
EMNLP 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
NIPS 2024
Label-free Node Classification on Graphs with Large Language Models (LLMs)
ICLR 2024
Revisiting Link Prediction: a data perspective
ICLR 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
ICML 2024
Position: Graph Foundation Models Are Already Here
ICML 2024
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NIPS 2023
Alternately Optimized Graph Neural Networks
ICML 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NIPS 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NIPS 2023
Neuron with Steady Response Leads to Better Generalization
NIPS 2022
A Large Scale Search Dataset for Unbiased Learning to Rank
NIPS 2022