Renhao Liu

According to our database, Renhao Liu authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

CamoNet: On-Device Neural Network Adaptation With Zero Interaction and Unlabeled Data for Diverse Edge Environments.

Zhengyuan Zhang, Dong Zhao, Renhao Liu, Kuo Tian, Yuxing Yao, Yuanchun Li, Huadong Ma

IEEE Trans. Mob. Comput., December, 2024

2022

Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields.

Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek S. Kamilov

Nat. Mac. Intell., September, 2022

2021

Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements.

Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek Kamilov

CoRR, 2021

2020

Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced).

Renhao Liu

PhD thesis, 2020

Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models.

Renhao Liu, Frederick Mubang, Lawrence O. Hall

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub.

Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, Adriana Iamnitchi

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms.

Renhao Liu, Frederick Mubang, Lawrence O. Hall, Sameera Horawalavithana, Adriana Iamnitchi, John Skvoretz

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data.

Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu, Robert A. Gatenby, Dmitry B. Goldgof

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2017

Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction.

Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Fine-tuning convolutional deep features for MRI based brain tumor classification.

Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Exploring deep features from brain tumor magnetic resonance images via transfer learning.

Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016