Huanhuan Gao

According to our database, Huanhuan Gao authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Error Estimate and Convergence Analysis for Data Valuation.

Zhangyong Liang, Huanhuan Gao, Ji Zhang

CoRR, November, 2025

Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence.

Yingying Sun, Jun A, Zhiwei Liu, Rui Sun, Liujia Qian, Samuel H. Payne, Wout Bittremieux, Markus Ralser, Chen Li, Yi Chen, Zhen Dong, Yasset Pérez-Riverol, Asif Khan, Chris Sander, Ruedi Aebersold, Juan Antonio Vizcaíno, Jonathan R. Krieger, Jianhua Yao, Han Wen, Linfeng Zhang, Yunping Zhu, Yue Xuan, Benjamin Boyang Sun, Liang Qiao, Henning Hermjakob, Haixu Tang, Huanhuan Gao, Yamin Deng, Qing Zhong, Cheng Chang, Nuno Bandeira, Ming Li, Weinan E, Siqi Sun, Yuedong Yang, Gilbert S. Omenn, Yue Zhang, Ping Xu, Yan Fu, Xiaowen Liu, Christopher M. Overall, Yu Wang, Eric W. Deutsch, Luonan Chen, Jürgen Cox, Vadim Demichev, Fuchu He, Jiaxing Huang, Huilin Jin, Chao Liu, Nan Li, Zhongzhi Luan, Jiangning Song, Kaicheng Yu, Wanggen Wan, Tai Wang, Kang Zhang, Le Zhang, Peter A. Bell, Matthias Mann, Bing Zhang, Tiannan Guo

CoRR, February, 2025

2024

ELM: a novel ensemble learning method for multi-target regression and multi-label classification problems.

Yuxuan Wu, Guikai Guo, Huanhuan Gao

Appl. Intell., September, 2024

Neural Dynamic Data Valuation.

Zhangyong Liang, Huanhuan Gao, Ji Zhang

CoRR, 2024

2022

Modeling learnable electrical synapse for high precision spatio-temporal recognition.

Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li

Neural Networks, 2022

2021

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification.

Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

DPHL: A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery.

Tiansheng Zhu, Yi Zhu, Yue Xuan, Huanhuan Gao, Xue Cai, Sander R. Piersma, Thang Viet Pham, Tim Schelfhorst, Richard R. G. D. Haas, Irene V. Bijnsdorp, Rui Sun, Liang Yue, Guan Ruan, Qiushi Zhang, Mo Hu, Yue Zhou, Winan J. Van Houdt, Tessa Y. S. Le Large, Tiannan Guo

Genom. Proteom. Bioinform., 2020