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 | 289 | 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 | 166 | 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 | 164 | 2018 |
Circuit-GNN: Graph neural networks for distributed circuit design G Zhang, H He, D Katabi International conference on machine learning, 7364-7373, 2019 | 124 | 2019 |
Learning compositional koopman operators for model-based control Y Li, H He, J Wu, D Katabi, A Torralba arXiv preprint arXiv:1910.08264, 2019 | 112 | 2019 |
Continuously indexed domain adaptation H Wang, H He, D Katabi arXiv preprint arXiv:2007.01807, 2020 | 104 | 2020 |
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 | 37 | 2017 |
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 | 20 | 2022 |
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 | 20 | 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 36 (9), 10042 ¡¦, 2022 | 19 | 2022 |
Graph-Relational Domain Adaptation Z Xu, H He, GH Lee, Y Wang, H Wang International Conference on Learning Representations, 2022 | 18 | 2022 |
Indiscriminate poisoning attacks on unsupervised contrastive learning H He, K Zha, D Katabi arXiv preprint arXiv:2202.11202, 2022 | 17 | 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 | 14 | 2022 |
Feddar: Federated domain-aware representation learning A Zhong, H He, Z Ren, N Li, Q Li arXiv preprint arXiv:2209.04007, 2022 | 4 | 2022 |
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 | | |