Hongyang R. Zhang
9 papers · 2020–2026 · 7 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 · Silver
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Academic Marathon · Sprint
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Taxonomy Completionist
(23)
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Keyword Collector
(53)
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Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(7)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Paradigms
(4)
Core Methods
(3)
Application Areas
(2)
Architectures
(2)
Optimization & Theory · Deep Learning
(2)
Core AI
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
transfer learning
(4)
multi-task learning
(4)
negative transfer
(2)
reinforcement learning
(1)
domain generalization
(1)
gradient descent
(1)
policy optimization
(1)
policy gradient
(1)
data augmentation
(1)
in-context learning
(1)
gradient estimation
(1)
covariance matrix
(1)
high-dimensional regression
(1)
parameter sharing
(1)
pac-bayesian analysis
(1)
text classification
(1)
distribution shift
(1)
linear regression
(1)
subset selection
(1)
neural tangent kernel
(1)
Papers
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
AAAI 2026
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
ACL 2025
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
EMNLP 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
JMLR 2025
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
EMNLP 2024
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
AISTATS 2023
Information Transfer in Multitask Learning, Data Augmentation, and Beyond
AAAI 2023
Learning Over-Parametrized Two-Layer Neural Networks beyond NTK
COLT 2020
Understanding and Improving Information Transfer in Multi-Task Learning
ICLR 2020