Hongkang Li
9 papers · 2022–2025 · 3 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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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
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The Questioner
(3)
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Renaissance Researcher
(5)
Venues
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Research topics
Machine Learning
(8)
Deep Learning
(6)
Architectures
(6)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(3)
Core AI
(2)
Core Methods
(2)
Learning Paradigms
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Keywords
sample complexity
(4)
positional encoding
(2)
stochastic gradient descent
(2)
in-context learning
(2)
generalization error
(2)
generalization guarantee
(2)
node classification
(2)
graph classification
(1)
binary classification
(1)
link prediction
(1)
graph representation
(1)
model editing
(1)
vector quantization
(1)
convergence analysis
(1)
non-convex optimization
(1)
inductive bia
(1)
generalization
(1)
generalization analysis
(1)
node embedding
(1)
distribution shift
(1)
Papers
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
ICLR 2025
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
ICLR 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
ICLR 2025
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
NeurIPS 2024
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
ICML 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
ICML 2024
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
ICLR 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration
NeurIPS 2023
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
ICML 2022