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Journal Articles
- 2025
[j6]Tianshi Xu
, Ruipeng Li, Daniel Osei-Kuffuor:
A two-level GPU-accelerated incomplete LU preconditioner for general sparse linear systems. Int. J. High Perform. Comput. Appl. 39(3): 424-442 (2025)- [j5]Yu Fu, Yu Tong, Yijing Ning, Tianshi Xu, Meng Li, Jingqiang Lin, Dengguo Feng:
Swift: Fast Secure Neural Network Inference With Fully Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. 20: 2793-2806 (2025) - 2024
- [j4]Ziyuan Tang, Tianshi Xu, Huan He, Yousef Saad, Yuanzhe Xi:
Anderson Acceleration with Truncated Gram-Schmidt. SIAM J. Matrix Anal. Appl. 45(4): 1850-1872 (2024) - [j3]Tianshi Xu, Anthony P. Austin, Vasileios Kalantzis, Yousef Saad:
A Parallel Algorithm for Computing Partial Spectral Factorizations of Matrix Pencils via Chebyshev Approximation. SIAM J. Sci. Comput. 46(2): S324-S351 (2024) - [j2]Shifan Zhao, Tianshi Xu, Hua Huang, Edmond Chow, Yuanzhe Xi:
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. SIAM J. Sci. Comput. 46(4): 2351- (2024) - 2022
- [j1]Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad:
parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices. Parallel Comput. 113: 102956 (2022)
Conference and Workshop Papers
- 2024
- [c11]Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li:
FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference. DAC 2024: 146:1-146:6 - [c10]Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li:
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. ICCAD 2024: 207:1-207:9 - [c9]Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li:
FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. ICCAD 2024: 208:1-208:9 - [c8]Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang:
Balanced Active Sampling for Person Re-identification. ICME 2024: 1-6 - [c7]Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang:
Camera Bias Regularization for Person Re-identification. ICME 2024: 1-6 - [c6]Leqi Shen, Tao He, Sicheng Zhao, Zhelun Shen, Yuchen Guo, Tianshi Xu, Guiguang Ding:
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. ICME 2024: 1-6 - [c5]Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li:
PrivCirNet: Efficient Private Inference via Block Circulant Transformation. NeurIPS 2024 - 2023
- [c4]Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang:
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. ICCAD 2023: 1-9 - 2021
- [c3]Yuezhen Huang, Dong Wei, Yinan Liu, Xiaofeng Jin, Yuheng Huang, Tianshi Xu:
Adaptively Fusing Complete Multi-resolution Features for Human Pose Estimation. ICIG (2) 2021: 434-445 - [c2]Yuheng Huang, Jincai Xian, Dong Wei, Xiaofeng Jin, Tianshi Xu:
Dual Gated Learning for Visible-Infrared Person Re-identification. ICIG (2) 2021: 498-508 - 2014
- [c1]Vladimir Shaydurov, Tianshi Xu:
Superconvergence of Some Linear and Quadratic Functionals for Higher-Order Finite Elements. FDM 2014: 84-95
Informal and Other Publications
- 2025
- [i22]Hua Huang, Tianshi Xu, Yuanzhe Xi, Edmond Chow:
HiGP: A high-performance Python package for Gaussian Process. CoRR abs/2503.02259 (2025) - [i21]Theresa Wagner, Tianshi Xu, Franziska Nestler, Yuanzhe Xi, Martin Stoll:
Preconditioned Additive Gaussian Processes with Fourier Acceleration. CoRR abs/2504.00480 (2025) - [i20]Tianshi Xu, Zechen Zhang, Jie Chen, Yousef Saad, Yuanzhe Xi:
Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems. CoRR abs/2505.00281 (2025) - [i19]Tao He, Guang Huang, Yu Yang, Tianshi Xu, Sicheng Zhao, Guiguang Ding, Pengyang Wang, Feng Tian:
S4C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models. CoRR abs/2506.14158 (2025) - [i18]Wenxuan Zeng, Tianshi Xu, Yi Chen, Yifan Zhou, Mingzhe Zhang, Jin Tan, Cheng Hong, Meng Li:
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives. CoRR abs/2507.14519 (2025) - [i17]Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li:
Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing. CoRR abs/2507.16391 (2025) - [i16]Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Chen Yi, Chenqi Lin, Runsheng Wang, Meng Li:
Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. CoRR abs/2508.19525 (2025) - [i15]Wenxuan Zeng, Tianshi Xu, Yi Chen, Yifan Zhou, Mingzhe Zhang, Jin Tan, Cheng Hong, Meng Li:
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives. IACR Cryptol. ePrint Arch. 2025: 1365 (2025) - [i14]Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Yi Chen, Chenqi Lin, Runsheng Wang, Meng Li:
Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. IACR Cryptol. ePrint Arch. 2025: 1532 (2025) - 2024
- [i13]Tianshi Xu, Meng Li, Runsheng Wang:
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference. CoRR abs/2401.15970 (2024) - [i12]Ziyuan Tang, Tianshi Xu, Huan He, Yousef Saad, Yuanzhe Xi:
Anderson Acceleration with Truncated Gram-Schmidt. CoRR abs/2403.14961 (2024) - [i11]Wenxuan Zeng, Tianshi Xu, Meng Li, Runsheng Wang:
EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. CoRR abs/2404.09404 (2024) - [i10]Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li:
PrivCirNet: Efficient Private Inference via Block Circulant Transformation. CoRR abs/2405.14569 (2024) - [i9]Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li:
FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. CoRR abs/2405.16241 (2024) - [i8]Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li:
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. CoRR abs/2410.09531 (2024) - [i7]Wenrui Hao, Ruipeng Li, Yuanzhe Xi, Tianshi Xu, Yahong Yang:
Multiscale Neural Networks for Approximating Green's Functions. CoRR abs/2410.18439 (2024) - [i6]Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li:
PrivCirNet: Efficient Private Inference via Block Circulant Transformation. IACR Cryptol. ePrint Arch. 2024: 2008 (2024) - [i5]Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li:
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. IACR Cryptol. ePrint Arch. 2024: 2021 (2024) - 2023
- [i4]Tianshi Xu, Ruipeng Li, Daniel Osei-Kuffuor:
A Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems. CoRR abs/2303.08881 (2023) - [i3]Shifan Zhao, Tianshi Xu, Edmond Chow, Yuanzhe Xi:
An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. CoRR abs/2304.05460 (2023) - [i2]Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang:
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. CoRR abs/2308.13189 (2023) - 2022
- [i1]Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad:
parGeMSLR: A Parallel Multilevel Schur Complement Low-Rank Preconditioning and Solution Package for General Sparse Matrices. CoRR abs/2205.03224 (2022)
Coauthor Index
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