Tianshi Xu - RankMe

53 papers A* 4A 8Journal 37Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning. CoRR Tianshi Xu, Yuteng Chen, Meng Li
2026	J	`jnl`	HiGP: A high-performance Python package for Gaussian Processes. J. Open Source Softw. Hua Huang, Tianshi Xu, Yuanzhe Xi, Edmond Chow
2026	—	`conf`	Hierarchical Cross-Modality Interaction for Unified Video-Text Retrieval Modeling. MMM (2) Tianshi Xu, Zhengzheng Sun, Yizheng Hu, Junyuan Shang, Si Wu
2026	J	`jnl`	Multiscale Neural Networks for Approximating Green's Functions. SIAM J. Sci. Comput. Wenrui Hao, Rui Peng Li, Yuanzhe Xi, Tianshi Xu, Yahong Yang
2026	J	`jnl`	UFO: Unlocking Ultra-Efficient Quantized Private Inference with Protocol and Algorithm Co-Optimization. CoRR Wenxuan Zeng, Chao Yang, Tianshi Xu, Bo Zhang, Changrui Ren, Jin Dong, Meng Li
2025	J	`jnl`	A two-level GPU-accelerated incomplete LU preconditioner for general sparse linear systems. Int. J. High Perform. Comput. Appl. Tianshi Xu, Ruipeng Li, Daniel Osei-Kuffuor
2025	A*	`conf`	Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. USENIX Security Symposium Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Yi Chen, Chenqi Lin, Runsheng Wang, Meng Li
2025	J	`jnl`	Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. CoRR Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Chen Yi, Chenqi Lin, Runsheng Wang, Meng Li
2025	J	`jnl`	Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC. IACR Cryptol. ePrint Arch. Tianshi Xu, Wen-jie Lu, Jiangrui Yu, Yi Chen, Chenqi Lin, Runsheng Wang, Meng Li
2025	J	`jnl`	CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing. CoRR Yifan Zhou, Tianshi Xu, Jue Hong, Ye Wu, Meng Li
2025	J	`jnl`	Designing Preconditioners for SGD: Local Conditioning, Noise Floors, and Basin Stability. CoRR Mitchell Scott, Tianshi Xu, Ziyuan Tang, Alexandra Pichette-Emmons, Qiang Ye, Yousef Saad, Yuanzhe Xi
2025	J	`jnl`	EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval. CoRR Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li
2025	J	`jnl`	HiGP: A high-performance Python package for Gaussian Process. CoRR Hua Huang, Tianshi Xu, Yuanzhe Xi, Edmond Chow
2025	A	`conf`	IP-KGQA: Intent-Aware Prompt Learning for Knowledge Graph Question Answering. ICME Zheng Dai, Chun Ding, Tianyi Chen, Si Wu, Yong Xu, Runzhe Liang, Tianshi Xu, Yedong Li, Dapeng Wu
2025	A*	`conf`	Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing. MICRO Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li
2025	J	`jnl`	Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing. CoRR Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li
2025	J	`jnl`	Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems. CoRR Tianshi Xu, Zechen Zhang, Jie Chen, Yousef Saad, Yuanzhe Xi
2025	J	`jnl`	Neural Approximate Inverse Preconditioners. CoRR Tianshi Xu, Ruipeng Li, Yuanzhe Xi
2025	A	`conf`	Octopus: Fast Homomorphic Convolution for Secure Neural Network Inference. ACSAC Yu Tong, Yu Fu, Tianshi Xu, Cheng Hong, Meng Li, Wei Wang, Dengguo Feng, Jingqiang Lin
2025	J	`jnl`	Preconditioned Additive Gaussian Processes with Fourier Acceleration. CoRR Theresa Wagner, Tianshi Xu, Franziska Nestler, Yuanzhe Xi, Martin Stoll
2025	J	`jnl`	Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization. CoRR Tianshi Xu, Difeng Cai, Hua Huang, Edmond Chow, Yuanzhe Xi
2025	J	`jnl`	S CoRR Tao He, Guang Huang, Yu Yang, Tianshi Xu, Sicheng Zhao, Guiguang Ding, Pengyang Wang, Feng Tian
2025	J	`jnl`	Swift: Fast Secure Neural Network Inference With Fully Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. Yu Fu, Yu Tong, Yijing Ning, Tianshi Xu, Meng Li, Jingqiang Lin, Dengguo Feng
2025	J	`jnl`	Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives. CoRR Wenxuan Zeng, Tianshi Xu, Yi Chen, Yifan Zhou, Mingzhe Zhang, Jin Tan, Cheng Hong, Meng Li
2025	J	`jnl`	Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives. IACR Cryptol. ePrint Arch. Wenxuan Zeng, Tianshi Xu, Yi Chen, Yifan Zhou, Mingzhe Zhang, Jin Tan, Cheng Hong, Meng Li
2024	J	`jnl`	A Parallel Algorithm for Computing Partial Spectral Factorizations of Matrix Pencils via Chebyshev Approximation. SIAM J. Sci. Comput. Tianshi Xu, Anthony P. Austin, Vasileios Kalantzis, Yousef Saad
2024	J	`jnl`	An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. SIAM J. Sci. Comput. Shifan Zhao, Tianshi Xu, Hua Huang, Edmond Chow, Yuanzhe Xi
2024	J	`jnl`	Anderson Acceleration with Truncated Gram-Schmidt. CoRR Ziyuan Tang, Tianshi Xu, Huan He, Yousef Saad, Yuanzhe Xi
2024	J	`jnl`	Anderson Acceleration with Truncated Gram-Schmidt. SIAM J. Matrix Anal. Appl. Ziyuan Tang, Tianshi Xu, Huan He, Yousef Saad, Yuanzhe Xi
2024	A	`conf`	Balanced Active Sampling for Person Re-identification. ICME Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang
2024	A	`conf`	Camera Bias Regularization for Person Re-identification. ICME Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang
2024	J	`jnl`	EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. CoRR Wenxuan Zeng, Tianshi Xu, Meng Li, Runsheng Wang
2024	J	`jnl`	FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. CoRR Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li
2024	A*	`conf`	FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference. DAC Chenqi Lin, Tianshi Xu, Zebin Yang, Runsheng Wang, Ru Huang, Meng Li
2024	A	`conf`	FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. ICCAD Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li
2024	J	`jnl`	HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference. CoRR Tianshi Xu, Meng Li, Runsheng Wang
2024	J	`jnl`	Multiscale Neural Networks for Approximating Green's Functions. CoRR Wenrui Hao, Ruipeng Li, Yuanzhe Xi, Tianshi Xu, Yahong Yang
2024	A*	`conf`	PrivCirNet: Efficient Private Inference via Block Circulant Transformation. NeurIPS Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivCirNet: Efficient Private Inference via Block Circulant Transformation. CoRR Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivCirNet: Efficient Private Inference via Block Circulant Transformation. IACR Cryptol. ePrint Arch. Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
2024	A	`conf`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. ICCAD Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. CoRR Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	J	`jnl`	PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. IACR Cryptol. ePrint Arch. Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li
2024	A	`conf`	X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. ICME Leqi Shen, Tao He, Sicheng Zhao, Zhelun Shen, Yuchen Guo, Tianshi Xu, Guiguang Ding
2023	J	`jnl`	A Two-level GPU-Accelerated Incomplete LU Preconditioner for General Sparse Linear Systems. CoRR Tianshi Xu, Ruipeng Li, Daniel Osei-Kuffuor
2023	J	`jnl`	An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. CoRR Shifan Zhao, Tianshi Xu, Edmond Chow, Yuanzhe Xi
2023	A	`conf`	Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. ICCAD Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang
2023	J	`jnl`	Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. CoRR Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang
2022	J	`jnl`	parGeMSLR: A Parallel Multilevel Schur Complement Low-Rank Preconditioning and Solution Package for General Sparse Matrices. CoRR Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad
2022	J	`jnl`	parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices. Parallel Comput. Tianshi Xu, Vassilis Kalantzis, Ruipeng Li, Yuanzhe Xi, Geoffrey Dillon, Yousef Saad
2021	—	`conf`	Adaptively Fusing Complete Multi-resolution Features for Human Pose Estimation. ICIG (2) Yuezhen Huang, Dong Wei, Yinan Liu, Xiaofeng Jin, Yuheng Huang, Tianshi Xu
2021	—	`conf`	Dual Gated Learning for Visible-Infrared Person Re-identification. ICIG (2) Yuheng Huang, Jincai Xian, Dong Wei, Xiaofeng Jin, Tianshi Xu
2014	—	`conf`	Superconvergence of Some Linear and Quadratic Functionals for Higher-Order Finite Elements. FDM Vladimir Shaydurov, Tianshi Xu