Qiao Zhang - RankMe

22 papers A* 4A 4Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SecDTD: Dynamic Token Drop for Secure Transformers Inference. CoRR Yifei Cai, Zhuoran Li, Yizhou Feng, Qiao Zhang, Hongyi Wu, Danella Zhao, Chunsheng Xin
2026	J	`jnl`	Towards Zero Rotation and Beyond: Architecting Neural Networks for Fast Secure Inference with Homomorphic Encryption. CoRR Yifei Cai, Yizhou Feng, Qiao Zhang, Chunsheng Xin, Hongyi Wu
2024	J	`jnl`	Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference. CoRR Xiangrui Xu, Qiao Zhang, Rui Ning, Chunsheng Xin, Hongyi Wu
2024	J	`jnl`	Contrast-Then-Approximate: Analyzing Keyword Leakage of Generative Language Models. IEEE Trans. Inf. Forensics Secur. Zhirui Zeng, Tao Xiang, Shangwei Guo, Jialing He, Qiao Zhang, Guowen Xu, Tianwei Zhang
2024	A*	`conf`	From Individual Computation to Allied Optimization: Remodeling Privacy-Preserving Neural Inference with Function Input Tuning. SP Qiao Zhang, Tao Xiang, Chunsheng Xin, Hongyi Wu
2024	A	`conf`	MOSAIC: A Prune-and-Assemble Approach for Efficient Model Pruning in Privacy-Preserving Deep Learning. AsiaCCS Yifei Cai, Qiao Zhang, Rui Ning, Chunsheng Xin, Hongyi Wu
2024	A	`conf`	SPOT: Structure Patching and Overlap Tweaking for Effective Pipelining in Privacy-Preserving MLaaS with Tiny Clients. ICDCS Xiangrui Xu, Qiao Zhang, Rui Ning, Chunsheng Xin, Hongyi Wu
2024	A	`conf`	TILE: Input Structure Optimization for Neural Networks to Accelerate Secure Inference. ACSAC Yizhou Feng, Qiao Zhang, Yifei Cai, Hongyi Wu, Chunsheng Xin
2024	A*	`conf`	United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus. AAAI Qiao Zhang, Tao Xiang, Chunsheng Xin, Hongyi Wu
2023	J	`jnl`	PRISC: Privacy-Preserved Pandemic Infection Risk Computation Through Cellular-Enabled IoT Devices. IEEE Internet Things J. Yizhou Feng, Qiao Zhang, Hongyi Wu, Chunsheng Xin
2023	J	`jnl`	Privacy-Preserving Machine Learning as a Service: Challenges and Opportunities. IEEE Netw. Qiao Zhang, Tao Xiang, Yifei Cai, Zhichao Zhao, Ning Wang, Hongyi Wu
2022	J	`jnl`	DT-SSIM: A Decentralized Trustworthy Self-Sovereign Identity Management Framework. IEEE Internet Things J. Efat Samir, Hongyi Wu, Mohamed Azab, Chunsheng Xin, Qiao Zhang
2022	A	`conf`	Hunter: HE-Friendly Structured Pruning for Efficient Privacy-Preserving Deep Learning. AsiaCCS Yifei Cai, Qiao Zhang, Rui Ning, Chunsheng Xin, Hongyi Wu
2022	J	`jnl`	Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference. CoRR Qiao Zhang, Tao Xiang, Chunsheng Xin, Biwen Chen, Hongyi Wu
2022	J	`jnl`	SecureTrain: An Approximation-Free and Computationally Efficient Framework for Privacy-Preserved Neural Network Training. IEEE Trans. Netw. Sci. Eng. Qiao Zhang, Chunsheng Xin, Hongyi Wu
2021	A*	`conf`	GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks. NDSS Qiao Zhang, Chunsheng Xin, Hongyi Wu
2021	J	`jnl`	GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks. CoRR Qiao Zhang, Chunsheng Xin, Hongyi Wu
2021	—	`—`	Joint Linear and Nonlinear Computation with Data Encryption for Efficient Privacy-Preserving Deep Learning. Qiao Zhang
2021	J	`jnl`	Privacy-Preserving Deep Learning Based on Multiparty Secure Computation: A Survey. IEEE Internet Things J. Qiao Zhang, Chunsheng Xin, Hongyi Wu
2019	J	`jnl`	CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations. CoRR Qiao Zhang, Cong Wang, Chunsheng Xin, Hongyi Wu
2018	A*	`conf`	GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning. IJCAI Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V. Phuong
2018	—	`conf`	Marvel: Mann-Whitney Rank-Sum Testing via Segments Labeling for Indoor Pedestrian Localization. ICC Mu Zhou, Yanmeng Wang, Zengshan Tian, Qiao Zhang