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ORCIDHao He 0011
Person information
- affiliation: Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
Other persons with the same name
- Hao He — disambiguation page
- Hao He 0001 — Amazon.com, Seattle, WA, USA (and 1 more)
- Hao He 0002
![[0000-0002-9382-998X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9382-998X")
— University of New Mexico, Department of Electrical and Computer Engineering, Albuquerque, NM, USA (and 1 more) - Hao He 0003 — University of Chinese Academy of Sciences, Department of Electronic, Electrical and Communication Engineering, Beijing, China
- Hao He 0004 — Xiangtan University, College of Information Engineering, China (and 1 more)
- Hao He 0005 — Rocket Force University of Engineering, Department of Control Engineering, Xian, China
- Hao He 0006 — Google Inc., Mountain View, CA, USA (and 1 more)
- Hao He 0007 — Shanghai Jiao Tong University, Department of Electronic Engineering, State Key Laboratory of Advanced Optical Communication Systems and Networks, China
- Hao He 0008 — Syracuse University, Department of Electrical Engineering and Computer Science, NY, USA
- Hao He 0009 — University of Missouri Columbia, School of Information Science and Learning Technologies, MO, USA
- Hao He 0010 — University of Maryland, Department of Atmospheric and Oceanic Science, College Park, MD, USA
- Hao He 0012 — Peking University, School of Computer Science, Beijing China (and 1 more)
- Hao He 0013 — Harbin University of Commerce, School of Management, China
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Journal Articles
- 2023
[j5]Hao He, Yixun Liang, Shishi Xiao, Jierun Chen, Yingcong Chen:
CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis. Comput. Graph. Forum 42(7) (2023)- 2022
- [j4]Shichao Yue, Hao He, Peng Cao, Kaiwen Zha, Masayuki Koizumi, Dina Katabi:
CornerRadar: RF-Based Indoor Localization Around Corners. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 34:1-34:24 (2022) - 2018
- [j3]Shichao Yue, Hao He, Hao Wang, Hariharan Rahul, Dina Katabi:
Extracting Multi-Person Respiration from Entangled RF Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 86:1-86:22 (2018) - [j2]Yonglong Tian, Guang-He Lee, Hao He, Chen-Yu Hsu, Dina Katabi:
RF-Based Fall Monitoring Using Convolutional Neural Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 137:1-137:24 (2018) - [j1]Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin:
Exposure: A White-Box Photo Post-Processing Framework. ACM Trans. Graph. 37(2): 26 (2018)
Conference and Workshop Papers
- 2023
- [c16]Hao He, Kaiwen Zha, Dina Katabi:
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. ICLR 2023 - [c15]Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang:
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation. ICLR 2023 - [c14]Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang:
Taxonomy-Structured Domain Adaptation. ICML 2023: 22215-22232 - [c13]Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi:
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer. MLHC 2023: 248-265 - [c12]Yixun Liang, Hao He, Yingcong Chen:
ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction. NeurIPS 2023 - [c11]Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi:
Addressing Feature Suppression in Unsupervised Visual Representations. WACV 2023: 1411-1420 - 2022
- [c10]Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit:
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate. AAAI 2022: 10042-10050 - [c9]Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang:
Graph-Relational Domain Adaptation. ICLR 2022 - [c8]Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola:
Controlling Directions Orthogonal to a Classifier. ICLR 2022 - 2020
- [c7]Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. ICLR 2020 - [c6]Hao Wang, Hao He, Dina Katabi:
Continuously Indexed Domain Adaptation. ICML 2020: 9898-9907 - [c5]Hao He, Hengchen Dai, Naiyan Wang:
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving. IROS 2020: 5962-5969 - 2019
- [c4]Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. AAAI 2019: 766-773 - [c3]Hao He, Hao Wang, Guang-He Lee, Yonglong Tian:
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees. ICLR (Poster) 2019 - [c2]Guo Zhang, Hao He, Dina Katabi:
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design. ICML 2019: 7364-7373 - 2017
- [c1]Hao He, Bo Xin, Satoshi Ikehata, David P. Wipf:
From Bayesian Sparsity to Gated Recurrent Nets. NIPS 2017: 5554-5564
Informal and Other Publications
- 2024
- [i18]Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi:
Contactless Polysomnography: What Radio Waves Tell Us about Sleep. CoRR abs/2405.11739 (2024) - 2023
- [i17]Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang:
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation. CoRR abs/2302.02561 (2023) - [i16]Yixun Liang, Hao He, Shishi Xiao, Hao Lu, Yingcong Chen:
Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets. CoRR abs/2303.10585 (2023) - [i15]Yixun Liang, Hao He, Yingcong Chen:
Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution. CoRR abs/2305.18832 (2023) - [i14]Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang:
Taxonomy-Structured Domain Adaptation. CoRR abs/2306.07874 (2023) - 2022
- [i13]Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola:
Controlling Directions Orthogonal to a Classifier. CoRR abs/2201.11259 (2022) - [i12]Zihao Xu, Hao He, Guang-He Lee, Yuyang Wang, Hao Wang:
Graph-Relational Domain Adaptation. CoRR abs/2202.03628 (2022) - [i11]Hao He, Kaiwen Zha, Dina Katabi:
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. CoRR abs/2202.11202 (2022) - [i10]Hao He, Yuzhe Yang, Hao Wang:
Domain Adaptation with Factorizable Joint Shift. CoRR abs/2203.02902 (2022) - [i9]Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang:
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR abs/2210.03612 (2022) - [i8]Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi:
Contactless Oxygen Monitoring with Gated Transformer. CoRR abs/2212.03357 (2022) - 2020
- [i7]Hao He, Hengchen Dai, Naiyan Wang:
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving. CoRR abs/2005.02790 (2020) - [i6]Hao Wang, Hao He, Dina Katabi:
Continuously Indexed Domain Adaptation. CoRR abs/2007.01807 (2020) - [i5]Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi:
Information-Preserving Contrastive Learning for Self-Supervised Representations. CoRR abs/2012.09962 (2020) - 2019
- [i4]Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi:
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. CoRR abs/1902.02037 (2019) - [i3]Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. CoRR abs/1910.08264 (2019) - 2017
- [i2]Hao He, Bo Xin, David P. Wipf:
From Bayesian Sparsity to Gated Recurrent Nets. CoRR abs/1706.02815 (2017) - [i1]Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin:
Exposure: A White-Box Photo Post-Processing Framework. CoRR abs/1709.09602 (2017)
Coauthor Index
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