Jiaheng Wei

Jiaheng Wei

University of California, Santa Cruz

H-index: 6

North America-United States

About Jiaheng Wei

Jiaheng Wei, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of California, Santa Cruz, specializes in the field of Machine Learning, Label Noise, Weakly Supervised Learning.

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

Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting

Human-instruction-free llm self-alignment with limited samples

Auditing for federated learning: A model elicitation approach

Do humans and machines have the same eyes? human-machine perceptual differences on image classification

Fairness improves learning from noisily labeled long-tailed data

Distributionally Robust Post-hoc Classifiers under Prior Shifts

To aggregate or not? learning with separate noisy labels

To smooth or not? when label smoothing meets noisy labels

Jiaheng Wei Information

University

Position

___

Citations(all)

281

Citations(since 2020)

281

Cited By

4

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Jiaheng Wei Skills & Research Interests

Machine Learning

Label Noise

Weakly Supervised Learning

Top articles of Jiaheng Wei

Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting

arXiv preprint arXiv:2402.10412

2024/2/16

Human-instruction-free llm self-alignment with limited samples

arXiv preprint arXiv:2401.06785

2024/1/6

Auditing for federated learning: A model elicitation approach

2023/11/30

Yang Liu
Yang Liu

H-Index: 18

Jiaheng Wei
Jiaheng Wei

H-Index: 2

Do humans and machines have the same eyes? human-machine perceptual differences on image classification

arXiv preprint arXiv:2304.08733

2023/4/18

Fairness improves learning from noisily labeled long-tailed data

arXiv preprint arXiv:2303.12291

2023/3/22

Distributionally Robust Post-hoc Classifiers under Prior Shifts

arXiv preprint arXiv:2309.08825

2023/9/16

To aggregate or not? learning with separate noisy labels

2023/8/6

To smooth or not? when label smoothing meets noisy labels

International Conference on Machine Learning

2022

DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training

2022/10/23

Learning with noisy labels revisited: A study using real-world human annotations

2022/1/28

Consensus on Dynamic Stochastic Block Models: Fast Convergence and Phase Transitions

arXiv preprint arXiv:2209.03999

2022/9/8

When optimizing -divergence is robust with label noise

International Conference on Learning Representations

2021

Jiaheng Wei
Jiaheng Wei

H-Index: 2

Yang Liu
Yang Liu

H-Index: 18

Incentives for federated learning: a hypothesis elicitation approach

ICML 2020 (workshop)

2020/7/21

Yang Liu
Yang Liu

H-Index: 18

Jiaheng Wei
Jiaheng Wei

H-Index: 2

See List of Professors in Jiaheng Wei University(University of California, Santa Cruz)

Co-Authors

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