Superconvergence of Some Linear and Quadratic Functionals for Higher-Order Finite Elements. - Vladimir Shaydurov; Tianshi Xu (FDM, 2014)

Adaptively Fusing Complete Multi-resolution Features for Human Pose Estimation. - Yuezhen Huang; Dong Wei; Yinan Liu; Xiaofeng Jin; Yuheng Huang 005; Tianshi Xu (ICIG (2), 2021)

Dual Gated Learning for Visible-Infrared Person Re-identification. - Yuheng Huang 005; Jincai Xian; Dong Wei; Xiaofeng Jin; Tianshi Xu (ICIG (2), 2021)

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)

Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. - Tianshi Xu; Meng Li 004; Runsheng Wang; Ru Huang 001 (ICCAD, 2023)

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. - Shifan Zhao; Tianshi Xu; Edmond Chow; Yuanzhe Xi (CoRR, 2023)

FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference. - Chenqi Lin; Tianshi Xu; Zebin Yang; Runsheng Wang; Ru Huang 001; Meng Li 004 (DAC, 2024)

FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. - Jiangrui Yu; Wenxuan Zeng; Tianshi Xu; Renze Chen; Yun Liang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

Balanced Active Sampling for Person Re-identification. - Tao He; Leqi Shen; Guiguang Ding; Zhiheng Zhou 001; Tianshi Xu; Xiaofeng Jin; Yuheng Huang 005 (ICME, 2024)

Camera Bias Regularization for Person Re-identification. - Tao He; Leqi Shen; Guiguang Ding; Zhiheng Zhou 001; Tianshi Xu; Xiaofeng Jin; Yuheng Huang 005 (ICME, 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 (ICME, 2024)

HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference. - Tianshi Xu; Meng Li 004; Runsheng Wang (CoRR, 2024)

EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. - Wenxuan Zeng; Tianshi Xu; Meng Li 004; Runsheng Wang (CoRR, 2024)

FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. - Chenqi Lin; Tianshi Xu; Zebin Yang; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2024)

Multiscale Neural Networks for Approximating Green's Functions. - Wenrui Hao; Ruipeng Li; Yuanzhe Xi; Tianshi Xu; Yahong Yang (CoRR, 2024)

PrivCirNet: Efficient Private Inference via Block Circulant Transformation. - Tianshi Xu; Lemeng Wu; Runsheng Wang; Meng Li 004 (IACR Cryptol. ePrint Arch., 2024)

PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. - Tianshi Xu; Shuzhang Zhong; Wenxuan Zeng; Runsheng Wang; Meng Li 004 (IACR Cryptol. ePrint Arch., 2024)

Anderson Acceleration with Truncated Gram-Schmidt. - Ziyuan Tang; Tianshi Xu; Huan He; Yousef Saad; Yuanzhe Xi (SIAM J. Matrix Anal. Appl., 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)

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. - Shifan Zhao; Tianshi Xu; Hua Huang; Edmond Chow; Yuanzhe Xi (SIAM J. Sci. Comput., 2024)

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)

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)

Swift: Fast Secure Neural Network Inference With Fully Homomorphic Encryption. - Yu Fu; Yu Tong; Yijing Ning; Tianshi Xu; Meng Li 004; Jingqiang Lin 001; Dengguo Feng (IEEE Trans. Inf. Forensics Secur., 2025)

HiGP: A high-performance Python package for Gaussian Process. - Hua Huang; Tianshi Xu; Yuanzhe Xi; Edmond Chow (CoRR, 2025)

Preconditioned Additive Gaussian Processes with Fourier Acceleration. - Theresa Wagner; Tianshi Xu; Franziska Nestler; Yuanzhe Xi; Martin Stoll (CoRR, 2025)

Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems. - Tianshi Xu; Zechen Zhang; Jie Chen 007; Yousef Saad; Yuanzhe Xi (CoRR, 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, 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, 2025)