Faculty Profiles - HU Zihao | The Hong Kong University of Science and Technology

Zihao HU
胡子豪

PhD in Machine Learning
Georgia Institute of Technology, 2023

Research Assistant Professor
Department of Mathematics

(852) 3469 3036
zihaohu@ust.hk
Room 3483
Personal Web

Scopus ID

57954039100

Research Interest Publications

Research Interest

Optimization
Game theory
Operations research
Decision making

Publications

All Years 7 2024 1 2023 3 2022 1 2021 0 2020 0 2019 0 2018 2

2024 1

Extragradient Type Methods for Riemannian Variational Inequality Problems

Proceedings of Machine Learning Research, v. 238, May 2024, p. 2080-2088
Hu, Zihao; Wang, Guanghui; Wang, Xi; Wibisono, Andre; Abernethy, Jacob; Tao, Molei
Conference paper

2023 3

Faster Margin Maximization Rates for Generic Optimization Methods

Advances in Neural Information Processing Systems, v. 36, December 2023
Wang, Guanghui; Hu, Zihao; Muthukumar, Vidya; Abernethy, Jacob
Conference paper

Minimizing Dynamic Regret on Geodesic Metric Spaces

Proceedings of Machine Learning Research, v. 195, July 2023, p. 4336-4383
Hu, Zihao; Wang, Guanghui; Abernethy, Jacob
Conference paper

Riemannian Projection-free Online Learning

Advances in Neural Information Processing Systems, v. 36, December 2023
Hu, Zihao; Wang, Guanghui; Abernethy, Jacob
Conference paper

2022 1

Adaptive Oracle-Efficient Online Learning

Advances in Neural Information Processing Systems, v. 35, November 2022
Wang, Guanghui; Hu, Zihao; Muthukumar, Vidya; Abernethy, Jacob
Conference paper

2017 1

Bayesian Supervised Hashing

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, v. 2017-January, November 2017, article number 8099833, p. 3288-3295
Hu, Zihao; Chen, Junxuan; Lu, Hongtao; Zhang, Tongzhen
Conference paper

2016 1

Multiple Instance Subspace Learning via Partial Random Projection Tree for Local Reflection Symmetry in Natural Images

Pattern Recognition, v. 52, April 2016, p. 306-316
Shen, Wei; Bai, Xiang; Hu, Zihao; Zhang, Zhijiang
Article

Conference paper 1

Extragradient Type Methods for Riemannian Variational Inequality Problems

Proceedings of Machine Learning Research, v. 238, May 2024, p. 2080-2088
Hu, Zihao; Wang, Guanghui; Wang, Xi; Wibisono, Andre; Abernethy, Jacob; Tao, Molei

Conference paper 3

Faster Margin Maximization Rates for Generic Optimization Methods

Advances in Neural Information Processing Systems, v. 36, December 2023
Wang, Guanghui; Hu, Zihao; Muthukumar, Vidya; Abernethy, Jacob

Minimizing Dynamic Regret on Geodesic Metric Spaces

Proceedings of Machine Learning Research, v. 195, July 2023, p. 4336-4383
Hu, Zihao; Wang, Guanghui; Abernethy, Jacob

Riemannian Projection-free Online Learning

Advances in Neural Information Processing Systems, v. 36, December 2023
Hu, Zihao; Wang, Guanghui; Abernethy, Jacob

Conference paper 1

Adaptive Oracle-Efficient Online Learning

Advances in Neural Information Processing Systems, v. 35, November 2022
Wang, Guanghui; Hu, Zihao; Muthukumar, Vidya; Abernethy, Jacob

Conference paper 1

Bayesian Supervised Hashing

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, v. 2017-January, November 2017, article number 8099833, p. 3288-3295
Hu, Zihao; Chen, Junxuan; Lu, Hongtao; Zhang, Tongzhen

Article 1

Multiple Instance Subspace Learning via Partial Random Projection Tree for Local Reflection Symmetry in Natural Images

Pattern Recognition, v. 52, April 2016, p. 306-316
Shen, Wei; Bai, Xiang; Hu, Zihao; Zhang, Zhijiang

2017 1

Bayesian Supervised Hashing

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, v. 2017-January, November 2017, article number 8099833, p. 3288-3295
Hu, Zihao; Chen, Junxuan; Lu, Hongtao; Zhang, Tongzhen
Conference paper

2016 1

Multiple Instance Subspace Learning via Partial Random Projection Tree for Local Reflection Symmetry in Natural Images

Pattern Recognition, v. 52, April 2016, p. 306-316
Shen, Wei; Bai, Xiang; Hu, Zihao; Zhang, Zhijiang
Article

No Publications

Research Interest

Publications

2024 1

2023 3

2022 1

2017 1

2016 1

Conference paper 1

Conference paper 3

Conference paper 1

Conference paper 1

Article 1

2017 1

2016 1

Projects

From January 2022 to December 2024

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