Hao He

Affiliations:

Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA

According to our database¹, Hao He authored at least 22 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Article

PhD thesis

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Bibliography

2023

Addressing Feature Suppression in Unsupervised Visual Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Taxonomy-Structured Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning.

[BibT_eX]

[DOI]

Hao He

Kaiwen Zha

Dina Katabi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

CornerRadar: RF-Based Indoor Localization Around Corners.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Contactless Oxygen Monitoring with Gated Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Domain Adaptation with Factorizable Joint Shift.

[BibT_eX]

[DOI]

Hao He

Yuzhe Yang

Hao Wang

CoRR, 2022

Graph-Relational Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Information-Preserving Contrastive Learning for Self-Supervised Representations.

[BibT_eX]

[DOI]

CoRR, 2020

UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving.

[BibT_eX]

[DOI]

Hao He

Hengchen Dai

Naiyan Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Continuously Indexed Domain Adaptation.

[BibT_eX]

[DOI]

Hao Wang

Hao He

Dina Katabi

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Compositional Koopman Operators for Model-Based Control.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Circuit-GNN: Graph Neural Networks for Distributed Circuit Design.

[BibT_eX]

[DOI]

Guo Zhang

Hao He

Dina Katabi

Proceedings of the 36th International Conference on Machine Learning, 2019

ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Exposure: A White-Box Photo Post-Processing Framework.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Extracting Multi-Person Respiration from Entangled RF Signals.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

RF-Based Fall Monitoring Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

2017

From Bayesian Sparsity to Gated Recurrent Nets.

[BibT_eX]

[DOI]

Hao He

Bo Xin

David P. Wipf

CoRR, 2017

From Bayesian Sparsity to Gated Recurrent Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hao He

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