| 2026 | AAAI | NODiff: Neural Operator Diffusion for Multispectral Image Fusion. | Junming Hou, Ran Ran, Sixing Chen, Zihao Chen, Xiaofeng Cong, Junling Li, Liang-Jian Deng |
| 2026 | AAAI | DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance. | Chengwei Sun, Jiwei Wei, Shiyuan He, Zeyu Ma, Yuyang Zhou, Ran Ran, Jie Zou, Yang Yang |
| 2026 | ISCA | Fenc | Ran Ran, Zhaoting Gong, Nuo Xu, Yuanchao Xu, Fan Yao, Wujie Wen |
| 2026 | ICS | Scaling Long-Sequence Homomorphic Encrypted Transformer Inference via Hybrid Parallelism on Multi-GPU Systems. | Zhaoting Gong, Ran Ran, Fan Yao, Wujie Wen |
| 2026 | KSEM | EATER: Entropy-Aware Multi-bit Watermarking for Large Language Models. | Ran Ran, Keke Gai, Jing Yu |
| 2025 | AAAI | CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer. | Ran Ran, Jiwei Wei, Xiangyi Cai, Xiang Guan, Jie Zou, Yang Yang, Heng Tao Shen |
| 2025 | CVPR | Binarized Neural Network for Multi-spectral Image Fusion. | Junming Hou, Xiaoyu Chen, Ran Ran, Xiaofeng Cong, Xinyang Liu, Jian Wei You, Liang-Jian Deng |
| 2025 | ICCAD | Invited Paper: Pushing SIMD Efficiency in Homomorphic Encryption for Machine Learning via Pattern-Aware Ciphertext Encoding. | Ran Ran, Zhaoting Gong, Zhaowei Li, Wujie Wen |
| 2025 | ICCV | KDA: Knowledge Diffusion Alignment with Enhanced Context for Video Temporal Grounding. | Ran Ran, Jiwei Wei, Shiyuan He, Zeyu Ma, Chaoning Zhang, Ning Xie, Yang Yang |
| 2024 | COMPSAC | Ants: Attacking Spatial Temporal Graph Learning Networks Structurally. | Ran Ran, Qi Liu, Nuo Xu, Ning Sui, Wujie Wen |
| 2023 | DAC | PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. | 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 | ICML | SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference. | Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen |
| 2023 | IJCAI | Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion. | Shangqi Deng, Liang-Jian Deng, Xiao Wu, Ran Ran, Rui Wen |
| 2023 | IJCAI | LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. | Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng |
| 2023 | MICCAI | Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation. | Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao |
| 2022 | ACSAC | NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. | Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam |
| 2022 | ICCAD | EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System. | Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie |
| 2022 | IGARSS | Context-Aware Element Filter for Hyperspectral Image Super-Resolution. | Ran Ran, Liang-Jian Deng, Chen-Yu Zhao |
| 2021 | IGARSS | Progressive Band-Separated Convolutional Neural Network for Multispectral Pansharpening. | Shishi Xiao, Cheng Jin, Tian-Jing Zhang, Ran Ran, Liang-Jian Deng |
| 2020 | IWCMC | Self-Service Analysis Tools Based on Open Sharing. | Ran Ran, Dapeng Zhou, Jue Bo, Pan Hu, Jun Qi, Qiang Gao, Junwei Sun |
| 2020 | IWCMC | Instant Messaging Tool Task Collaboration Platform. | Dapeng Zhou, Ran Ran, Xing Huang, Jue Bo, Zhuangguan Yang, Hao Wang |