Yao Ma
21 papers · 2016–2026 · 8 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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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π€
Dynamic Duo
(13)
π¬
Deep Specialist
(11)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(88)
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(14)
Architectures
(12)
Core Methods
(12)
Artificial Intelligence
(6)
Application Areas
(6)
Core AI
(6)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(5)
Data Science & Analytics
(3)
Applications
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Knowledge & Reasoning
(1)
Keywords
graph neural network
(9)
link prediction
(3)
node classification
(3)
message passing
(2)
matrix completion
(2)
data valuation
(2)
in-context learning
(2)
knowledge graph completion
(2)
rank-one matrix
(2)
representation learning
(2)
gradient descent
(2)
skill estimation
(2)
graph data valuation
(1)
transductive learning
(1)
graph representation
(1)
sample complexity
(1)
adversarial robustness
(1)
supervised learning
(1)
reinforcement learning from human feedback
(1)
semi-supervised learning
(1)
Papers
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
ACL 2026
Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
ACL 2026
A Survey to Recent Progress Towards Understanding In-Context Learning
NAACL 2025
Precedence-Constrained Winter Value for Effective Graph Data Valuation
ICLR 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
ICLR 2025
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
EMNLP 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
ICML 2024
Position: Graph Foundation Models Are Already Here
ICML 2024
Revisiting Link Prediction: a data perspective
ICLR 2024
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
ACL 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NeurIPS 2023
Distance-Based Propagation for Efficient Knowledge Graph Reasoning
EMNLP 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NeurIPS 2023
Automated Self-Supervised Learning for Graphs
ICLR 2022
Is Homophily a Necessity for Graph Neural Networks?
ICLR 2022
Elastic Graph Neural Networks
ICML 2021
Graph Neural Networks with Adaptive Residual
NeurIPS 2021
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
JMLR 2020
Deep Adversarial Social Recommendation
IJCAI 2019
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
ICML 2018
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
NeurIPS 2016