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Yingnan Liu
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2020 – today
- 2024
- [j3]Xiaodi Liu, Yingnan Liu, Mong-Li Lee, Wynne Hsu, Ming Han Lincoln Liow:
Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models. npj Digit. Medicine 7(1) (2024) - [c11]Qianqian Zhu, Xuening Wu, Yingnan Liu, Jiayin Huang:
A comparative study of machine learning based importance measures for car insurance pricing factors. CCEAI 2024: 209-214 - [c10]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. ICLR 2024 - [c9]Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu:
Cross-Domain Feature Augmentation for Domain Generalization. IJCAI 2024: 1146-1154 - [i2]Yingtian Zou, Kenji Kawaguchi, Yingnan Liu, Jiashuo Liu, Mong-Li Lee, Wynne Hsu:
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness. CoRR abs/2403.06392 (2024) - [i1]Yingnan Liu, Yingtian Zou, Rui Qiao, Fusheng Liu, Mong-Li Lee, Wynne Hsu:
Cross-Domain Feature Augmentation for Domain Generalization. CoRR abs/2405.08586 (2024) - 2023
- [c8]Qianqian Zhu, Liu Yang, Yingnan Liu:
Research on vehicle spare parts demand forecast based on XGBoost-LightGBM. PRIS 2023: 109-114 - [c7]Jifeng Liu, Yao Zhou, Cheng Wang, Yingnan Liu, Fuchang Li:
Simulation of Space-borne Digital Phased Array Anntenna. TrustCom 2023: 1986-1990 - 2022
- [c6]Yingnan Liu, Randy Clinton Paffenroth:
Ensemble Image Super-Resolution CNNs for Small Data and Diverse Compressive Models. ADMA (2) 2022: 89-102 - 2021
- [c5]Yingnan Liu, Randy Clinton Paffenroth:
Voxel-based Deep Learning for Image Super-resolution of Areal Density Maps of Carbon-nanotube Sheets. ICMLA 2021: 1660-1667 - [c4]Ma Xin, Hang Li, Yingnan Liu:
Research and Event Control on Risk Factors of Auto Insurance Claim. ISCSIC 2021: 291-295 - [c3]Yingnan Liu, Tao Zhang, Fuchang Li, Xuetian Zhu:
Research on Beamforming in 5G NR Carrier Aggregation. IWCMC 2021: 519-522 - 2020
- [j2]Chaodong Fan, Ningjun Zheng, Jinhua Zheng, Leyi Xiao, Yingnan Liu:
Kinetic-molecular theory optimization algorithm using opposition-based learning and varying accelerated motion. Soft Comput. 24(17): 12709-12730 (2020) - [c2]Yingnan Liu, Randy Clinton Paffenroth:
Ensemble CNN in Transform Domains for Image Super-resolution from Small Data Sets. ICMLA 2020: 384-391
2010 – 2019
- 2019
- [c1]Yingnan Liu, Qitao Ma, Yingli Wang:
Speech Synthesis Method Based on Tacotron + WaveNet. CSPS 2019: 662-670 - 2015
- [j1]Xiang-Hai Wang, Yingnan Liu, Hongwei Zhang, Lingling Fang:
A total variation model based on edge adaptive guiding function for remote sensing image de-noising. Int. J. Appl. Earth Obs. Geoinformation 34: 89-95 (2015)
Coauthor Index
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last updated on 2024-12-10 20:48 CET by the dblp team
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