Hao He

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 28

Top Topics

Domain Adaptation

Convolutional Neural Networks

Variational Bayes

Visual Representations

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Hao He, Kaiwen Zha, Dina Katabi
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. ICLR (2023)
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)
Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation. ICLR (2023)
Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
Taxonomy-Structured Domain Adaptation. ICML (2023)
Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
Taxonomy-Structured Domain Adaptation. CoRR (2023)
Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi
Contactless Oxygen Monitoring with Gated Transformer. CoRR (2022)
Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate. AAAI (2022)
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) (2022)
Zihao Xu, Hao He, Guang-He Lee, Yuyang Wang, Hao Wang
Graph-Relational Domain Adaptation. CoRR (2022)
Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
Graph-Relational Domain Adaptation. ICLR (2022)
Hao He, Kaiwen Zha, Dina Katabi
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. CoRR (2022)
Hao Wang, Hao He, Dina Katabi
Continuously Indexed Domain Adaptation. ICML (2020)
Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba
Learning Compositional Koopman Operators for Model-Based Control. ICLR (2020)
Hao Wang, Hao He, Dina Katabi
Continuously Indexed Domain Adaptation. CoRR (2020)
Hao He, Hengchen Dai, Naiyan Wang
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving. CoRR (2020)
Hao He, Hengchen Dai, Naiyan Wang
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving. IROS (2020)
Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi
Information-Preserving Contrastive Learning for Self-Supervised Representations. CoRR (2020)
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 (2019)
Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba
Learning Compositional Koopman Operators for Model-Based Control. CoRR (2019)
Hao He, Hao Wang, Guang-He Lee, Yonglong Tian
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees. ICLR (Poster) (2019)
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)
Guo Zhang, Hao He, Dina Katabi
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design. ICML (2019)
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
Exposure: A White-Box Photo Post-Processing Framework. ACM Trans. Graph. 37 (2) (2018)
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) (2018)
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) (2018)
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
Exposure: A White-Box Photo Post-Processing Framework. CoRR (2017)
Hao He, Bo Xin, Satoshi Ikehata, David P. Wipf
From Bayesian Sparsity to Gated Recurrent Nets. NIPS (2017)
Hao He, Bo Xin, David P. Wipf
From Bayesian Sparsity to Gated Recurrent Nets. CoRR (2017)