Ran Ran

37 papers A* 5A 3B 3Journal 15Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
FHE-Agent: Automating CKKS Configuration for Practical Encrypted Inference via an LLM-Guided Agentic Framework.
CoRR
Nuo Xu, Zhaoting Gong, Ran Ran, Jinwei Tang, Wujie Wen, Caiwen Ding
2025 A conf
Invited Paper: Pushing SIMD Efficiency in Homomorphic Encryption for Machine Learning via Pattern-Aware Ciphertext Encoding.
ICCAD
Ran Ran, Zhaoting Gong, Zhaowei Li, Wujie Wen
2025 — conf
Multi-task Driven ResNet-Transformer Framework for Wind Power Forecasting with Dynamic Mode Decomposition Correction.
ICIC (8)
Yiming Liu, Wei Li, Ran Ran, Yongqi Wang, Tao Xu, Jun Tao
2024 — conf
A Data Transmission Approach in Vehicular Named Data Networking.
APNet
Yixin Gan, Ran Ran, Rui Hou
2024 — conf
A Radial Basis Function Neural Network-based Detection Method for Collusive Interest Flooding Attacks in Named Data Networks.
APNet
Wenlu Li, Guanglin Xing, Ran Ran, Rui Hou
2024 J jnl
An Evidential-Enhanced Tri-Branch Consistency Learning Method for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Instrum. Meas.
Zhenxi Zhang, Heng Zhou, Xiaoran Shi, Ran Ran, Chunna Tian, Feng Zhou
2024 J jnl
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation.
CoRR
Zhenxi Zhang, Heng Zhou, Xiaoran Shi, Ran Ran, Chunna Tian, Feng Zhou
2024 J jnl
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Chunna Tian, Zhenxi Zhang, Xinbo Gao, Heng Zhou, Ran Ran, Zhicheng Jiao
2024 B conf
Ants: Attacking Spatial Temporal Graph Learning Networks Structurally.
COMPSAC
Ran Ran, Qi Liu, Nuo Xu, Ning Sui, Wujie Wen
2024 J jnl
Low-frequency amplitude fusion based consistency learning method for multi-source domain adaptation for joint optic disc and cup segmentation.
Biomed. Signal Process. Control.
Zhenxi Zhang, Zhuo Tong, Chunna Tian, Yanyu Ye, Weiwei Fan, Ran Ran, Heng Zhou, Feng Zhou
2024 J jnl
Quality-driven deep cross-supervised learning network for semi-supervised medical image segmentation.
Comput. Biol. Medicine
Zhenxi Zhang, Heng Zhou, Xiaoran Shi, Ran Ran, Chunna Tian, Feng Zhou
2023 J jnl
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation.
CoRR
Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Fan Yang, Xin Li, Zhicheng Jiao
2023 A* conf
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference.
NeurIPS
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
2023 J jnl
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference.
CoRR
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
2023 J jnl
Model-driven self-aware self-training framework for label noise-tolerant medical image segmentation.
Signal Process.
Zhenxi Zhang, Chunna Tian, Xinbo Gao, Ran Ran, Yanyu Ye, Heng Zhou, Zhuo Tong
2023 A* conf
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment.
DAC
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023 J jnl
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment.
CoRR
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023 A* conf
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference.
NeurIPS
Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen
2023 J jnl
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.
CoRR
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023 — conf
Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation.
MICCAI (2)
Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao
2023 J jnl
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation.
CoRR
Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao
2023 — conf
Service Resources Mining Based on Association Rules.
DSC
Ruiting Qu, Lin Qiao, Qing Song, Yuanqi Yu, Zhenjiang Lei, Ran Ran, Haomiao Wang, Tianbo Wang
2023 A* conf
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference.
ICML
Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen
2022 A* conf
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference.
NeurIPS
Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen
2022 J jnl
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference.
CoRR
Ran Ran, Nuo Xu, Wei Wang, Quan Gang, Jieming Yin, Wujie Wen
2022 A conf
EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System.
ICCAD
Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
2022 J jnl
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System.
CoRR
Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
2022 — ch.
Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms.
Mach. Learn. under Resour. Constraints Vol. 3 (3)
Maximillian Machado, Ran Ran, Liang Cheng
2022 A conf
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks.
ACSAC
Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
2022 J jnl
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks.
CoRR
Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
2020 — conf
Application of Self-service Analysis Tool for Data Management Application.
CSIA (1)
Ran Ran, Zhenjiang Lei, Dapeng Zhou, Liang Bai, Yubo Liu, Yu Xia
2020 — conf
Cost Management Model Based on Multidimensional System.
CSIA (2)
Nan Hu, Jue Bo, Ran Ran, Dapeng Zhou, Ruiting Qu, Pan Hu, Yu Xia
2020 B conf
Instant Messaging Tool Task Collaboration Platform.
IWCMC
Dapeng Zhou, Ran Ran, Xing Huang, Jue Bo, Zhuangguan Yang, Hao Wang
2020 — conf
Integrated Information System of Township Power Supply Office and Team Based on Cloud Computing.
CSIA (1)
Dapeng Zhou, Jinghong Zhao, Ran Ran, Ying Liu, Dong Liu, Jun Qi
2020 B conf
Self-Service Analysis Tools Based on Open Sharing.
IWCMC
Ran Ran, Dapeng Zhou, Jue Bo, Pan Hu, Jun Qi, Qiang Gao, Junwei Sun
2019 — conf
A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation.
ICAIS (2)
Li Shen, Yang Shen, Chunhe Song, Zhao Li, Ran Ran, Peng Zeng
2018 — conf
Imputation Method of Missing Values for Dissolved Gas Analysis Data Based on Iterative KNN and XGBoost.
ACAI
Lin Qiao, Ran Ran, He Wu, Qiaoni Zhou, Sai Liu, Yunfei Liu