Renhao Liu - RankMe

15 papers B 6C 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ACL: Adaptive Edge-Cloud Collaborative Learning for Heterogeneous Devices With Unlabeled Local Data. IEEE Trans. Mob. Comput. Zhengyuan Zhang, Dong Zhao, Renhao Liu, Yuxing Yao, Xiangyu Li, Huadong Ma
2025	C	`conf`	Efficient LOS/NLOS Classification in 5G NR Using Field Image Transformation and Modified Mean Teacher Framework. IPIN Ziheng Chen, Renhao Liu, Zhongliang Deng, Enwen Hu, Yongheng Deng
2025	J	`jnl`	Neural representation of trustworthiness encoding and inference in crowds. NeuroImage Renhao Liu, Dongfang Zhao, Xinlan Xu, Xiaoyu Zhang, Yuanyuan Yang, Min Li, Weiqi He
2025	J	`jnl`	State Ownership and Green Innovation: The Moderating Role of Digitalization. J. Glob. Inf. Manag. Renhao Liu, Beifan Zhang, Tong He, Youqing Fan, Shuang Li
2024	J	`jnl`	CamoNet: On-Device Neural Network Adaptation With Zero Interaction and Unlabeled Data for Diverse Edge Environments. IEEE Trans. Mob. Comput. Zhengyuan Zhang, Dong Zhao, Renhao Liu, Kuo Tian, Yuxing Yao, Yuanchun Li, Huadong Ma
2022	J	`jnl`	Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields. Nat. Mac. Intell. Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek S. Kamilov
2021	J	`jnl`	Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements. CoRR Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek Kamilov
2020	—	`—`	Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced). Renhao Liu
2020	B	`conf`	Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. SMC Renhao Liu, Frederick Mubang, Lawrence O. Hall
2019	B	`conf`	Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub. WI Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, Adriana Iamnitchi
2019	B	`conf`	Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. SMC Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu, Robert A. Gatenby, Dmitry B. Goldgof
2019	B	`conf`	Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms. SMC Renhao Liu, Frederick Mubang, Lawrence O. Hall, Sameera Horawalavithana, Adriana Iamnitchi, John Skvoretz
2017	—	`conf`	Fine-tuning convolutional deep features for MRI based brain tumor classification. Computer-Aided Diagnosis Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby
2017	B	`conf`	Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. SMC Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed
2016	B	`conf`	Exploring deep features from brain tumor magnetic resonance images via transfer learning. IJCNN Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed