Dependence-aware, unbounded sound predictive race detection. - Kaan Genç; Jake Roemer; Yufan Xu 001; Michael D. Bond (Proc. ACM Program. Lang., 2019)

Analytical characterization and design space exploration for optimization of CNNs. - Rui Li 033; Yufan Xu 001; Aravind Sukumaran-Rajam; Atanas Rountev; P. Sadayappan (ASPLOS, 2021)

Efficient Distributed Algorithms for Convolutional Neural Networks. - Rui Li 033; Yufan Xu 001; Aravind Sukumaran-Rajam; Atanas Rountev; P. Sadayappan (SPAA, 2021)

Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPUs. - Yufan Xu 001; Qiwei Yuan; Erik Curtis Barton; Rui Li 033; P. Sadayappan; Aravind Sukumaran-Rajam (PACT, 2022)

Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution. - Yufan Xu 001; Saurabh Raje; Atanas Rountev; Gerald Sabin; Aravind Sukumaran-Rajam; P. Sadayappan (CC, 2022)

Accelerated Auto-Tuning of GPU Kernels for Tensor Computations. - Chendi Li; Yufan Xu 001; Sina Mahdipour Saravani; Ponnuswamy Sadayappan (ICS, 2024)

CoNST: Code Generator for Sparse Tensor Networks. - Saurabh Raje; Yufan Xu 001; Atanas Rountev; Edward F. Valeev; Saday Sadayappan (CoRR, 2024)

CoNST: Code Generator for Sparse Tensor Networks. - Saurabh Raje; Yufan Xu 001; Atanas Rountev; Edward F. Valeev; P. Sadayappan (ACM Trans. Archit. Code Optim., 2024)

Accelerating Complex Stencil Computations with Adaptive Fusion Strategy. - Siqi Wang; Hailong Yang 002; Pengbo Wang; Shaokang Du; Yufan Xu 001; Qingxiao Sun; Xiaoyan Liu; Xuezhu Wang; Xuning Liang; Zhongzhi Luan; Yi Liu 013; Depei Qian (ICS, 2025)