Han Zhao

About Han Zhao

Han Zhao, With an exceptional h-index of 29 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Machine Learning, Algorithmic Fairness, Representation Learning, Probabilistic Circuits.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Practical Non-Adversarial Distribution Matching

Fair and Optimal Prediction via Post-Processing

Accelerating Neural Differential Equations for Irregularly-Sampled Dynamical Systems Using Variational Formulation

Efficient Learning of Linear Graph Neural Networks via Node Subsampling

Revisiting scalarization in multi-task learning: A theoretical perspective

Enhancing Compositional Generalization via Compositional Feature Alignment

Robust Multi-Task Learning with Excess Risks

Efficient Modality Selection in Multimodal Learning

Han Zhao Information

University

Position

D.E.Shaw & Co

Citations(all)

3903

Citations(since 2020)

3570

Cited By

1166

hIndex(all)

29

hIndex(since 2020)

27

i10Index(all)

46

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Han Zhao Skills & Research Interests

Machine Learning

Algorithmic Fairness

Representation Learning

Probabilistic Circuits

Top articles of Han Zhao

Towards Practical Non-Adversarial Distribution Matching

2024/4/18

Ben Usman
Ben Usman

H-Index: 5

Han Zhao
Han Zhao

H-Index: 15

Fair and Optimal Prediction via Post-Processing

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Han Zhao
Han Zhao

H-Index: 15

Accelerating Neural Differential Equations for Irregularly-Sampled Dynamical Systems Using Variational Formulation

2024/3/3

Efficient Learning of Linear Graph Neural Networks via Node Subsampling

Advances in Neural Information Processing Systems

2024/2/13

Ilan Shomorony
Ilan Shomorony

H-Index: 11

Han Zhao
Han Zhao

H-Index: 15

Revisiting scalarization in multi-task learning: A theoretical perspective

2023/12/10

Enhancing Compositional Generalization via Compositional Feature Alignment

arXiv preprint arXiv:2402.02851

2024/2/5

Robust Multi-Task Learning with Excess Risks

arXiv preprint arXiv:2402.02009

2024/2/3

Efficient Modality Selection in Multimodal Learning

Journal of Machine Learning Research

2024

Learning List-Level Domain-Invariant Representations for Ranking

2023/12/10

Efficient Post-Processing for Equal Opportunity in Fair Multi-Class Classification

2023/12/12

Ruicheng Xian
Ruicheng Xian

H-Index: 1

Han Zhao
Han Zhao

H-Index: 15

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms

arXiv preprint arXiv:2311.00966

2023/11/2

Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds

arXiv preprint arXiv:2310.19690

2023/10/30

Ben Usman
Ben Usman

H-Index: 5

Han Zhao
Han Zhao

H-Index: 15

Gradual Domain Adaptation: Theory and Algorithms

arXiv preprint arXiv:2310.13852

2023/10/20

An empirical study of simplicial representation learning with wasserstein distance

arXiv preprint arXiv:2310.10143

2023/10/16

Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder

arXiv preprint arXiv:2310.06684

2023/10/10

Train your own gnn teacher: Graph-aware distillation on textual graphs

2023/9/17

Speciality vs generality: An empirical study on catastrophic forgetting in fine-tuning foundation models

arXiv preprint arXiv:2309.06256

2023/9/12

Structural re-weighting improves graph domain adaptation

2023/7/3

Fair and optimal classification via post-processing

2023/7/3

Understanding the impact of adversarial robustness on accuracy disparity

2023/7/3

See List of Professors in Han Zhao University(University of Illinois at Urbana-Champaign)

Co-Authors

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