Wenxuan Zeng
Orcid: 0000-0003-3743-0947
According to our database1,
Wenxuan Zeng
authored at least 17 papers
between 2022 and 2025.
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Bibliography
2025
UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference.
CoRR, April, 2025
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference.
CoRR, January, 2025
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives.
IACR Cryptol. ePrint Arch., 2025
2024
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization.
IACR Cryptol. ePrint Arch., 2024
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization.
CoRR, 2024
FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.
CoRR, 2023
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022