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ORCIDRenhao Liu
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2020 – today
- 2025
[j5]Renhao Liu, Beifan Zhang, Tong He, Youqing Fan
, Shuang Li:
State Ownership and Green Innovation: The Moderating Role of Digitalization. J. Glob. Inf. Manag. 32(1): 1-19 (2025)- [j4]Renhao Liu, Dongfang Zhao, Xinlan Xu, Xiaoyu Zhang, Yuanyuan Yang, Min Li, Weiqi He:
Neural representation of trustworthiness encoding and inference in crowds. NeuroImage 323: 121575 (2025) - [j3]Zhengyuan Zhang, Dong Zhao, Renhao Liu, Yuxing Yao, Xiangyu Li, Huadong Ma:
ACL: Adaptive Edge-Cloud Collaborative Learning for Heterogeneous Devices With Unlabeled Local Data. IEEE Trans. Mob. Comput. 24(9): 8152-8166 (2025) - [c8]Ziheng Chen, Renhao Liu, Zhongliang Deng, Enwen Hu, Yongheng Deng:
Efficient LOS/NLOS Classification in 5G NR Using Field Image Transformation and Modified Mean Teacher Framework. IPIN 2025: 1-6 - 2024
- [j2]Zhengyuan Zhang, Dong Zhao, Renhao Liu, Kuo Tian, Yuxing Yao, Yuanchun Li, Huadong Ma:
CamoNet: On-Device Neural Network Adaptation With Zero Interaction and Unlabeled Data for Diverse Edge Environments. IEEE Trans. Mob. Comput. 23(12): 11483-11497 (2024) - 2022
- [j1]Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek S. Kamilov:
Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields. Nat. Mac. Intell. 4(9): 781-791 (2022) - 2021
- [i1]Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek Kamilov:
Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements. CoRR abs/2112.00002 (2021) - 2020
- [b1]Renhao Liu:
Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced). University of South Florida, Tampa, USA, 2020 - [c7]Renhao Liu, Frederick Mubang, Lawrence O. Hall:
Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. SMC 2020: 1677-1684
2010 – 2019
- 2019
- [c6]Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu, Robert A. Gatenby, Dmitry B. Goldgof:
Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. SMC 2019: 1331-1335 - [c5]Renhao Liu, Frederick Mubang, Lawrence O. Hall, Sameera Horawalavithana, Adriana Iamnitchi, John Skvoretz:
Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms. SMC 2019: 2535-2542 - [c4]Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, Adriana Iamnitchi:
Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub. WI 2019: 200-207 - 2017
- [c3]Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby:
Fine-tuning convolutional deep features for MRI based brain tumor classification. Computer-Aided Diagnosis 2017: 101342E - [c2]Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed:
Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. SMC 2017: 1357-1362 - 2016
- [c1]Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed:
Exploring deep features from brain tumor magnetic resonance images via transfer learning. IJCNN 2016: 235-242
Coauthor Index
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