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Hao He
Hao He
MIT, CSAIL
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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
2892018
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
1662018
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
1642018
Circuit-GNN: Graph neural networks for distributed circuit design
G Zhang, H He, D Katabi
International conference on machine learning, 7364-7373, 2019
1242019
Learning compositional koopman operators for model-based control
Y Li, H He, J Wu, D Katabi, A Torralba
arXiv preprint arXiv:1910.08264, 2019
1122019
Continuously indexed domain adaptation
H Wang, H He, D Katabi
arXiv preprint arXiv:2007.01807, 2020
1042020
Probgan: Towards probabilistic gan with theoretical guarantees
H He, H Wang, GH Lee, Y Tian
International conference on learning representations, 2018
50*2018
From Bayesian sparsity to gated recurrent nets
H He, B Xin, S Ikehata, D Wipf
Advances in Neural Information Processing Systems 30, 2017
372017
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
20*2023
Controlling directions orthogonal to a classifier
Y Xu, H He, T Shen, T Jaakkola
arXiv preprint arXiv:2201.11259, 2022
202022
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 33 (01), 766-773, 2019
202019
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 36 (9), 10042 ¡¦, 2022
192022
Graph-Relational Domain Adaptation
Z Xu, H He, GH Lee, Y Wang, H Wang
International Conference on Learning Representations, 2022
182022
Indiscriminate poisoning attacks on unsupervised contrastive learning
H He, K Zha, D Katabi
arXiv preprint arXiv:2202.11202, 2022
172022
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
142022
Feddar: Federated domain-aware representation learning
A Zhong, H He, Z Ren, N Li, Q Li
arXiv preprint arXiv:2209.04007, 2022
42022
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer
H He, Y Yuan, YC Chen, P Cao, D Katabi
Machine Learning for Healthcare Conference, 248-265, 2023
3*2023
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^ 2Struct)
H Wang, W Lin, H He, D Wang, C Mao, M Zhang
arXiv preprint arXiv:2210.03612, 2022
2022
From Bayesian Sparsity to Gated Recurrent Nets− Supplementary File−
H He, B Xin, S Ikehata, D Wipf
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