Tianshi Xu

According to our database, Tianshi Xu authored at least 34 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing.

Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li

CoRR, November, 2025

Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization.

Tianshi Xu, Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi

CoRR, October, 2025

EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval.

Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li

CoRR, October, 2025

Neural Approximate Inverse Preconditioners.

Tianshi Xu, Ruipeng Li, Yuanzhe Xi

CoRR, October, 2025

Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing.

Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li

CoRR, July, 2025

S⁴C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models.

Tao He, Guang Huang, Yu Yang, Tianshi Xu, Sicheng Zhao, Guiguang Ding, Pengyang Wang, Feng Tian

CoRR, June, 2025

Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems.

Tianshi Xu, Zechen Zhang, Jie Chen, Yousef Saad, Yuanzhe Xi

CoRR, May, 2025

Preconditioned Additive Gaussian Processes with Fourier Acceleration.

Theresa Wagner, Tianshi Xu, Franziska Nestler, Yuanzhe Xi, Martin Stoll

CoRR, April, 2025

HiGP: A high-performance Python package for Gaussian Process.

Hua Huang, Tianshi Xu, Yuanzhe Xi, Edmond Chow

CoRR, March, 2025

Swift: Fast Secure Neural Network Inference With Fully Homomorphic Encryption.

Yu Fu, Yu Tong, Yijing Ning, Tianshi Xu, Meng Li, Jingqiang Lin, Dengguo Feng

IEEE Trans. Inf. Forensics Secur., 2025

A two-level GPU-accelerated incomplete LU preconditioner for general sparse linear systems.

Tianshi Xu, Ruipeng Li, Daniel Osei-Kuffuor

Int. J. High Perform. Comput. Appl., 2025

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives.

Wenxuan Zeng, Tianshi Xu, Yi Chen, Yifan Zhou, Mingzhe Zhang, Jin Tan, Cheng Hong, Meng Li

IACR Cryptol. ePrint Arch., 2025

Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC.

Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Yi Chen, Chenqi Lin, Runsheng Wang, Meng Li

Proceedings of the 34th USENIX Security Symposium, 2025

IP-KGQA: Intent-Aware Prompt Learning for Knowledge Graph Question Answering.

Zheng Dai, Chun Ding, Tianyi Chen, Si Wu, Yong Xu, Runzhe Liang, Tianshi Xu, Yedong Li, Dapeng Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.

Shifan Zhao, Tianshi Xu, Hua Huang, Edmond Chow, Yuanzhe Xi

SIAM J. Sci. Comput., 2024

A Parallel Algorithm for Computing Partial Spectral Factorizations of Matrix Pencils via Chebyshev Approximation.

Tianshi Xu, Anthony P. Austin, Vasileios Kalantzis, Yousef Saad

SIAM J. Sci. Comput., 2024

Anderson Acceleration with Truncated Gram-Schmidt.

Ziyuan Tang, Tianshi Xu, Huan He, Yousef Saad, Yuanzhe Xi

SIAM J. Matrix Anal. Appl., 2024

Multiscale Neural Networks for Approximating Green's Functions.

Wenrui Hao, Ruipeng Li, Yuanzhe Xi, Tianshi Xu, Yahong Yang

CoRR, 2024

FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference.

Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li

CoRR, 2024

EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization.

Wenxuan Zeng, Tianshi Xu, Meng Li, Runsheng Wang

CoRR, 2024

HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference.

Tianshi Xu, Meng Li, Runsheng Wang

CoRR, 2024

PrivCirNet: Efficient Private Inference via Block Circulant Transformation.

Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification.

Leqi Shen, Tao He, Sicheng Zhao, Zhelun Shen, Yuchen Guo, Tianshi Xu, Guiguang Ding

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Camera Bias Regularization for Person Re-identification.

Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Balanced Active Sampling for Person Re-identification.

Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference.

Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization.

Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference.

Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.

Shifan Zhao, Tianshi Xu, Edmond Chow, Yuanzhe Xi

CoRR, 2023

Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference.

Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices.

Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad

Parallel Comput., 2022

2021

Dual Gated Learning for Visible-Infrared Person Re-identification.

Yuheng Huang, Jincai Xian, Dong Wei, Xiaofeng Jin, Tianshi Xu

Proceedings of the Image and Graphics - 11th International Conference, 2021

Adaptively Fusing Complete Multi-resolution Features for Human Pose Estimation.

Yuezhen Huang, Dong Wei, Yinan Liu, Xiaofeng Jin, Yuheng Huang, Tianshi Xu

Proceedings of the Image and Graphics - 11th International Conference, 2021

2014

Superconvergence of Some Linear and Quadratic Functionals for Higher-Order Finite Elements.

Vladimir Shaydurov, Tianshi Xu

Proceedings of the Finite Difference Methods, Theory and Applications, 2014