Yao Ma
21 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (9)
🌈
Renaissance Researcher
(7)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(9)
🤝
Dynamic Duo
(13)
🏆
Keyword Champion
(2)
💎
Century Club
(19)
❓
The Questioner
(3)
🗃️
Keyword Collector
(54)
🔥
Unstoppable
(8)
Conferences
ICLR (5)
ICML (4)
NIPS (4)
ACL (3)
EMNLP (2)
IJCAI (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(5)
in-context learning
(2)
gradient descent
(2)
knowledge graph completion
(2)
matrix completion
(2)
link prediction
(2)
skill estimation
(2)
message passing
(2)
rank-one matrix
(2)
knowledge graph reasoning
(1)
graph structure
(1)
data valuation
(1)
adversarial robustness
(1)
class imbalance
(1)
graph data valuation
(1)
graph representation
(1)
semi-supervised learning
(1)
l1 regularization
(1)
sample complexity
(1)
reinforcement learning from human feedback
(1)
Papers
Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
ACL 2026
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
ACL 2026
Precedence-Constrained Winter Value for Effective Graph Data Valuation
ICLR 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
ICLR 2025
A Survey to Recent Progress Towards Understanding In-Context Learning
NAACL 2025
Revisiting Link Prediction: a data perspective
ICLR 2024
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
EMNLP 2024
Position: Graph Foundation Models Are Already Here
ICML 2024
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
ICML 2024
Distance-Based Propagation for Efficient Knowledge Graph Reasoning
EMNLP 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NIPS 2023
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
ACL 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
NIPS 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
NIPS 2016