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

Do different instructional styles affect students' learning on summer assignments? - Li Chen 032; Yufan Xu; Xuewang Geng; Hiroaki Ogata; Atsushi Shimada 001; Masanori Yamada (ICALT, 2020)

Learning Analytics of the Relationships among Learning Behaviors, Learning Performance, and Motivation. - Xuewang Geng; Yufan Xu; Li Chen 032; Hiroaki Ogata; Atsushi Shimada 001; Masanori Yamada (ICALT, 2020)

Development of a Visualization System to Enhance Participation in Computer-Supported Collaboration Learning. - Yufan Xu; Yuta Taniguchi; Yoshiko Goda; Atsushi Shimada 001; Masanori Yamada (TALE, 2020)

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

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

Using a Visualization System to Enhance Students' Online Learning Participation Based on Learning Behaviors and Social Presence. - Yufan Xu; Li Chen 032; Xuewang Geng; Yuta Taniguchi; Yoshiko Goda; Atsushi Shimada 001; Masanori Yamada (TALE, 2021)

Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPUs. - Yufan Xu; 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; 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; Sina Mahdipour Saravani; Ponnuswamy Sadayappan (ICS, 2024)

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

Learning behavioral patterns of students with varying performance in a high school mathematics course using an e-book system. - Xuewang Geng; Li Chen 032; Yufan Xu; Hiroaki Ogata; Atsushi Shimada 001; Masanori Yamada (Res. Pract. Technol. Enhanc. Learn., 2024)

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