Hao He

Joined

November 2016

Names

Hao He (Preferred)

Emails

****@pku.edu.cn (Confirmed)

****@mit.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

EECS, Massachusetts Institute of Technology (mit.edu)

2017 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Dina Katabi

2017 – 2025

Expertise

machine learning for healthcare

2020 – 2025

domain adaptation

2018 – 2023

probabilistic modelling

2017 – 2023

Publications

Toward Reliable Domain Adaptation under Continuous Spurious Shift
Yi Wang, Zihao Xu, Hao He, Chengzhi Mao, Qi Xu, Zhigang Hua, Hao Wang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Learning Under Multi-dimensional Domain Shifts: A Ensemble of Mixtures of Experts Approach
Aoxiao Zhong, Hao He, Cheng Chen, Dufan Wu, Quanzheng Li
- Submitted to ICLR 2025
- Readers: Everyone
Taming Continuous Spurious Shift in Domain Adaptation
Yi Wang, Zihao Xu, Hao He, Guang-He Lee, Chengzhi Mao, Hao Wang
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Graph-Relational Federated Learning: Enhanced Personalization and Robustness
Wanyu Lin, Hao Lan, Hao He, Baochun Li
- Submitted to ICLR 2024
- Readers: Everyone
Towards Effective Data Poisoning for Imbalanced Classification
Snigdha Sushil Mishra, Hao He, Hao Wang
- AdvML-Frontiers 2023
- Readers: Everyone
Taxonomy-Structured Domain Adaptation
Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
- ICML 2023 Poster
- Readers: Everyone
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit
- 18 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Contactless Oxygen Monitoring with Gated Transformer
Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi
- Published: 02 Dec 2022, Last Modified: 05 May 2023
- TS4H Poster
- Readers: Everyone
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He, Kaiwen Zha, Dina Katabi
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 notable top 25%
- Readers: Everyone
FedDAR: Federated Domain-Aware Representation Learning
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone

View all 15 publications

Co-Authors

View all 31 co-authors