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Hao He
Hao He
MIT, CSAIL
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Exposure: A white-box photo post-processing framework
Y Hu, H He, C Xu, B Wang, S Lin
ACM Transactions on Graphics (TOG) 37 (2), 1-17, 2018
3112018
Extracting multi-person respiration from entangled RF signals
S Yue, H He, H Wang, H Rahul, D Katabi
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
1782018
RF-based fall monitoring using convolutional neural networks
Y Tian, GH Lee, H He, CY Hsu, D Katabi
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
1752018
Circuit-GNN: Graph neural networks for distributed circuit design
G Zhang, H He, D Katabi
International Conference on Machine Learning (ICML), 7364-7373, 2019
1292019
Learning compositional koopman operators for model-based control
Y Li, H He, J Wu, D Katabi, A Torralba
International Conference on Learning Representations (ICLR), 2020
1222020
Continuously indexed domain adaptation
H Wang, H He, D Katabi
International Conference on Machine Learning (ICML), 2020
1212020
Probgan: Towards probabilistic gan with theoretical guarantees
H He, H Wang, GH Lee, Y Tian
International Conference on Learning Representations (ICLR), 2018
51*2018
From Bayesian sparsity to gated recurrent nets
H He, B Xin, S Ikehata, D Wipf
Advances in Neural Information Processing Systems (NeurIPS) 30, 2017
372017
Graph-relational domain adaptation
Z Xu, H He, GH Lee, Y Wang, H Wang
International Conference on Learning Representations (ICLR), 2022
272022
Indiscriminate poisoning attacks on unsupervised contrastive learning
H He, K Zha, D Katabi
International Conference on Learning Representations (ICLR), 2023
232023
Training-free uncertainty estimation for dense regression: Sensitivity as a surrogate
L Mi, H Wang, Y Tian, H He, NN Shavit
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 36 (9 …, 2022
232022
Bidirectional inference networks: A class of deep bayesian networks for health profiling
H Wang, C Mao, H He, M Zhao, TS Jaakkola, D Katabi
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 33 (01 …, 2019
232019
Controlling directions orthogonal to a classifier
Y Xu, H He, T Shen, T Jaakkola
International Conference on Learning Representations (ICLR), 2022
222022
Addressing feature suppression in unsupervised visual representations
T Li, L Fan, Y Yuan, H He, Y Tian, R Feris, P Indyk, D Katabi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
21*2023
CornerRadar: RF-based indoor localization around corners
S Yue, H He, P Cao, K Zha, M Koizumi, D Katabi
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022
172022
Domain-indexing variational bayes: Interpretable domain index for domain adaptation
Z Xu, GY Hao, H He, H Wang
International Conference on Learning Representations (ICLR), 2023
132023
Feddar: Federated domain-aware representation learning
A Zhong, H He, Z Ren, N Li, Q Li
International Conference on Learning Representations (ICLR), 2023
92023
Taxonomy-structured domain adaptation
T Liu, Z Xu, H He, GY Hao, GH Lee, H Wang
International Conference on Machine Learning (ICML), 22215-22232, 2023
62023
Contactless oxygen monitoring with radio waves and gated transformer
H He, Y Yuan, YC Chen, P Cao, D Katabi
Machine Learning for Healthcare Conference (MLHC), 2023
3*2023
Learning inflammatory biomarkers from nocturnal breathing, BMI and demographics
H Hao, D Katabi
ICLR 2024 Workshop TS4H, 2024
2024
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