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
1332018
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
652018
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
562018
Learning compositional koopman operators for model-based control
Y Li, H He, J Wu, D Katabi, A Torralba
arXiv preprint arXiv:1910.08264, 2019
342019
Circuit-GNN: Graph neural networks for distributed circuit design
G Zhang, H He, D Katabi
International Conference on Machine Learning, 7364-7373, 2019
342019
From Bayesian sparsity to gated recurrent nets
H He, B Xin, D Wipf
arXiv preprint arXiv:1706.02815, 2017
302017
Continuously indexed domain adaptation
H Wang, H He, D Katabi
arXiv preprint arXiv:2007.01807, 2020
192020
Probgan: Towards probabilistic gan with theoretical guarantees
H He, H Wang, GH Lee, Y Tian
International Conference on Learning Representations, 2018
152018
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
82019
Bayesian modelling and monte carlo inference for GAN
H He, H Wang, GH Lee, Y Tian
International Conference on Learning Representations, 2019
82019
Towards safe online reinforcement learning in computer systems
H Mao, M Schwarzkopf, H He, M Alizadeh
NeurIPS Machine Learning for Systems Workshop, 2019
62019
Information-Preserving Contrastive Learning for Self-Supervised Representations
T Li, L Fan, Y Yuan, H He, Y Tian, D Katabi
arXiv preprint arXiv:2012.09962, 2020
12020
Learning Caching Policies with Subsampling
H Wang, H He, M Alizadeh, H Mao
NeurIPS Machine Learning for Systems Workshop, 2019
12019
Learning Blood Oxygen from Respiration Signals
H He, YC Chen, Y Yuan, D Katabi
2020
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Articles 1–14