Hao He

Hao He

Massachusetts Institute of Technology

H-index: 14

North America-United States

About Hao He

Hao He, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Deep Learning, Machine Learning, Bayesian.

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

Addressing feature suppression in unsupervised visual representations

Contactless oxygen monitoring with radio waves and gated transformer

Indiscriminate poisoning attacks on unsupervised contrastive learning

Feddar: Federated domain-aware representation learning

Taxonomy-structured domain adaptation

Controlling directions orthogonal to a classifier

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^ 2Struct)

Training-free uncertainty estimation for dense regression: Sensitivity as a surrogate

Hao He Information

University

Position

MIT, CSAIL

Citations(all)

1132

Citations(since 2020)

1114

Cited By

296

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Hao He Skills & Research Interests

Deep Learning

Machine Learning

Bayesian

Top articles of Hao He

Title

Journal

Author(s)

Publication Date

Addressing feature suppression in unsupervised visual representations

Tianhong Li

Lijie Fan

Yuan Yuan

Hao He

Yonglong Tian

...

2023

Contactless oxygen monitoring with radio waves and gated transformer

Hao He

Yuan Yuan

Ying-Cong Chen

Peng Cao

Dina Katabi

2023/12/22

Indiscriminate poisoning attacks on unsupervised contrastive learning

Hao He

Kaiwen Zha

Dina Katabi

2023/12

Feddar: Federated domain-aware representation learning

The International Conference on Learning Representations (ICLR)

Aoxiao Zhong

Hao He

Zhaolin Ren

Na Li

Quanzheng Li

2023

Taxonomy-structured domain adaptation

Tianyi Liu

Zihao Xu

Hao He

Guang-Yuan Hao

Guang-He Lee

...

2023/6/13

Controlling directions orthogonal to a classifier

Yilun Xu

Hao He

Tianxiao Shen

Tommi Jaakkola

2022

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^ 2Struct)

Hao Wang

Wanyu Lin

Hao He

Di Wang

Chengzhi Mao

...

2022/10/7

Training-free uncertainty estimation for dense regression: Sensitivity as a surrogate

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)

Lu Mi

Hao Wang

Yonglong Tian

Hao He

Nir N Shavit

2022/6/28

Cornerradar: Rf-based indoor localization around corners

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Shichao Yue

Hao He

Peng Cao

Kaiwen Zha

Masayuki Koizumi

...

2022/3/29

Graph-relational domain adaptation

Zihao Xu

Hao He

Guang-He Lee

Yuyang Wang

Hao Wang

2022/2/8

Continuously indexed domain adaptation

Hao Wang

Hao He

Dina Katabi

2020/7/3

Learning compositional koopman operators for model-based control

Yunzhu Li

Hao He

Jiajun Wu

Dina Katabi

Antonio Torralba

2020

See List of Professors in Hao He University(Massachusetts Institute of Technology)

Co-Authors

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