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 | 340 | 2018 |
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 | 201 | 2018 |
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 | 197 | 2018 |
Circuit-GNN: Graph neural networks for distributed circuit design G Zhang, H He, D Katabi International Conference on Machine Learning (ICML), 7364-7373, 2019 | 149 | 2019 |
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 | 140 | 2020 |
Continuously indexed domain adaptation H Wang, H He, D Katabi International Conference on Machine Learning (ICML), 2020 | 132 | 2020 |
Probgan: Towards probabilistic gan with theoretical guarantees H He, H Wang, GH Lee, Y Tian International Conference on Learning Representations (ICLR), 2018 | 58* | 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 | 39 | 2017 |
Indiscriminate poisoning attacks on unsupervised contrastive learning H He, K Zha, D Katabi International Conference on Learning Representations (ICLR), 2023 | 34 | 2023 |
Graph-relational domain adaptation Z Xu, H He, GH Lee, Y Wang, H Wang International Conference on Learning Representations (ICLR), 2022 | 31 | 2022 |
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 | 26* | 2023 |
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 | 26 | 2019 |
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 | 24 | 2022 |
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 | 23 | 2022 |
Controlling directions orthogonal to a classifier Y Xu, H He, T Shen, T Jaakkola International Conference on Learning Representations (ICLR), 2022 | 23 | 2022 |
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 | 16 | 2023 |
Feddar: Federated domain-aware representation learning A Zhong, H He, Z Ren, N Li, Q Li International Conference on Learning Representations (ICLR), 2023 | 12 | 2023 |
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 | 8 | 2023 |
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 |
What radio waves tell us about sleep! H He, C Li, W Ganglberger, K Gallagher, R Hristov, M Ouroutzoglou, ... Sleep, zsae187, 2024 | 1 | 2024 |