Falcon: Accelerating homomorphically encrypted convolutions for efficient private mobile network inference T Xu, M Li, R Wang, R Huang 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 5 | 2023 |
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference T Xu, M Li, R Wang arXiv preprint arXiv:2401.15970, 2024 | 1 | 2024 |
Feature Extraction and Clustering of High Dimensional Electromagnetic Interference Signals Based on Multidimensional Scaling and SOM Network H Li, T Xu, H Lian, W Chen, D Zhao Journal of Physics: Conference Series 2078 (1), 012072, 2021 | 1 | 2021 |
FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference C Lin*, T Xu*, Z Yang*, R Wang, R Huang, M Li arXiv preprint arXiv:2405.16241, 2024 | | 2024 |
PrivCirNet: Efficient Private Inference via Block Circulant Transformation T Xu, L Wu, R Wang, M Li arXiv preprint arXiv:2405.14569, 2024 | | 2024 |
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization W Zeng, T Xu, M Li, R Wang arXiv preprint arXiv:2404.09404, 2024 | | 2024 |
Nonlinear Signal Classification based on Wavelet Transform and Deep Belief Network K Hu, H Li, S Xu, K Tian, T Xu, D Zhao Journal of Physics: Conference Series 1948 (1), 012029, 2021 | | 2021 |