Hao He - RankMe

47 papers A* 12A 2Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Physiology as Language: Translating Respiration to Sleep EEG. CoRR Kaiwen Zha, Chao Li, Hao He, Peng Cao, Tianhong Li, Ali Mirzazadeh, Ellen Zhang, Jong Woo Lee, Yoon Kim, Dina Katabi
2025	J	`jnl`	Graph-Relational Federated Learning: Enhanced Personalization and Robustness. IEEE Trans. Dependable Secur. Comput. Wanyu Lin, Hao Lan, Hao He, Baochun Li
2025	J	`jnl`	LucidFusion: Reconstructing 3D Gaussians with Arbitrary Unposed Images. Comput. Graph. Forum Hao He, Yixun Liang, Luozhou Wang, Yuanhao Cai, Xinli Xu, Haoxiang Guo, Xiang Wen, Yingcong Chen
2025	J	`jnl`	X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second. CoRR Guofeng Zhang, Ruyi Zha, Hao He, Yixun Liang, Alan L. Yuille, Hongdong Li, Yuanhao Cai
2024	J	`jnl`	Contactless Polysomnography: What Radio Waves Tell Us about Sleep. CoRR Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi
2024	J	`jnl`	LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images. CoRR Hao He, Yixun Liang, Luozhou Wang, Yuanhao Cai, Xinli Xu, Hao-Xiang Guo, Xiang Wen, Yingcong Chen
2023	A	`conf`	Addressing Feature Suppression in Unsupervised Visual Representations. WACV Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi
2023	J	`jnl`	CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis. Comput. Graph. Forum Hao He, Yixun Liang, Shishi Xiao, Jierun Chen, Yingcong Chen
2023	—	`conf`	Contactless Oxygen Monitoring with Radio Waves and Gated Transformer. MLHC Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi
2023	A*	`conf`	Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation. ICLR Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang
2023	J	`jnl`	Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation. CoRR Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang
2023	A*	`conf`	Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. ICLR Hao He, Kaiwen Zha, Dina Katabi
2023	J	`jnl`	Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets. CoRR Yixun Liang, Hao He, Shishi Xiao, Hao Lu, Yingcong Chen
2023	A*	`conf`	ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction. NeurIPS Yixun Liang, Hao He, Yingcong Chen
2023	J	`jnl`	Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution. CoRR Yixun Liang, Hao He, Yingcong Chen
2023	A*	`conf`	Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks. CVPR Jierun Chen, Shiu-Hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan
2023	J	`jnl`	Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks. CoRR Jierun Chen, Shiu-Hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan
2023	A*	`conf`	Taxonomy-Structured Domain Adaptation. ICML Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
2023	J	`jnl`	Taxonomy-Structured Domain Adaptation. CoRR Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
2022	J	`jnl`	1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
2022	J	`jnl`	Contactless Oxygen Monitoring with Gated Transformer. CoRR Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi
2022	A*	`conf`	Controlling Directions Orthogonal to a Classifier. ICLR Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola
2022	J	`jnl`	Controlling Directions Orthogonal to a Classifier. CoRR Yilun Xu, Hao He, Tianxiao Shen, Tommi S. Jaakkola
2022	J	`jnl`	CornerRadar: RF-Based Indoor Localization Around Corners. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shichao Yue, Hao He, Peng Cao, Kaiwen Zha, Masayuki Koizumi, Dina Katabi
2022	—	`conf`	CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation. ECCV Workshops (6) Haoyue Bai, Hao He, Zhuoxuan Peng, Tianyuan Dai, S.-H. Gary Chan
2022	J	`jnl`	Domain Adaptation with Factorizable Joint Shift. CoRR Hao He, Yuzhe Yang, Hao Wang
2022	A*	`conf`	Graph-Relational Domain Adaptation. ICLR Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
2022	J	`jnl`	Graph-Relational Domain Adaptation. CoRR Zihao Xu, Hao He, Guang-He Lee, Yuyang Wang, Hao Wang
2022	J	`jnl`	Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. CoRR Hao He, Kaiwen Zha, Dina Katabi
2022	A*	`conf`	Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate. AAAI Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit
2020	A*	`conf`	Continuously Indexed Domain Adaptation. ICML Hao Wang, Hao He, Dina Katabi
2020	J	`jnl`	Continuously Indexed Domain Adaptation. CoRR Hao Wang, Hao He, Dina Katabi
2020	J	`jnl`	Information-Preserving Contrastive Learning for Self-Supervised Representations. CoRR Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi
2020	A*	`conf`	Learning Compositional Koopman Operators for Model-Based Control. ICLR Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba
2020	A	`conf`	UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving. IROS Hao He, Hengchen Dai, Naiyan Wang
2020	J	`jnl`	UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving. CoRR Hao He, Hengchen Dai, Naiyan Wang
2019	A*	`conf`	Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. AAAI Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
2019	J	`jnl`	Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling. CoRR Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
2019	A*	`conf`	Circuit-GNN: Graph Neural Networks for Distributed Circuit Design. ICML Guo Zhang, Hao He, Dina Katabi
2019	J	`jnl`	Learning Compositional Koopman Operators for Model-Based Control. CoRR Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba
2019	—	`conf`	ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees. ICLR (Poster) Hao He, Hao Wang, Guang-He Lee, Yonglong Tian
2018	J	`jnl`	Exposure: A White-Box Photo Post-Processing Framework. ACM Trans. Graph. Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
2018	J	`jnl`	Extracting Multi-Person Respiration from Entangled RF Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shichao Yue, Hao He, Hao Wang, Hariharan Rahul, Dina Katabi
2018	J	`jnl`	RF-Based Fall Monitoring Using Convolutional Neural Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Yonglong Tian, Guang-He Lee, Hao He, Chen-Yu Hsu, Dina Katabi
2017	J	`jnl`	Exposure: A White-Box Photo Post-Processing Framework. CoRR Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin
2017	—	`conf`	From Bayesian Sparsity to Gated Recurrent Nets. NIPS Hao He, Bo Xin, Satoshi Ikehata, David P. Wipf
2017	J	`jnl`	From Bayesian Sparsity to Gated Recurrent Nets. CoRR Hao He, Bo Xin, David P. Wipf