Yufan Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Depth Estimation

Unsupervised Learning

Design Space Exploration

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Saurabh Raje, Yufan Xu, Atanas Rountev, Edward F. Valeev, Saday Sadayappan
CoNST: Code Generator for Sparse Tensor Networks. CoRR (2024)
Chendi Li, Yufan Xu, Sina Mahdipour Saravani, Ponnuswamy Sadayappan
Accelerated Auto-Tuning of GPU Kernels for Tensor Computations. ICS (2024)
Xuewang Geng, Li Chen, Yufan Xu, Hiroaki Ogata, Atsushi Shimada, Masanori Yamada
Learning behavioral patterns of students with varying performance in a high school mathematics course using an e-book system. Res. Pract. Technol. Enhanc. Learn. 19 (2023)
Yufan Xu, Qiwei Yuan, Erik Curtis Barton, Rui Li, P. Sadayappan, Aravind Sukumaran-Rajam
Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPUs. PACT (2022)
Rui Huang, Yan Wang, Zijian Li, Zeyu Lei, Yufan Xu
RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Yufan Xu, Yan Wang, Rui Huang, Zeyu Lei, Junyao Yang, Zijian Li
Unsupervised Learning of Depth Estimation and Camera Pose With Multi-Scale GANs. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Yufan Xu, Saurabh Raje, Atanas Rountev, Gerald Sabin, Aravind Sukumaran-Rajam, P. Sadayappan
Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution. CC (2022)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Efficient Distributed Algorithms for Convolutional Neural Networks. SPAA (2021)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Efficient distributed algorithms for Convolutional Neural Networks. CoRR (2021)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Analytical Characterization and Design Space Exploration for Optimization of CNNs. CoRR (2021)
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
Analytical characterization and design space exploration for optimization of CNNs. ASPLOS (2021)
Yufan Xu, Li Chen, Xuewang Geng, Yuta Taniguchi, Yoshiko Goda, Atsushi Shimada, Masanori Yamada
Using a Visualization System to Enhance Students' Online Learning Participation Based on Learning Behaviors and Social Presence. TALE (2021)
Yufan Xu, Yan Wang, Junyao Yang
Meta-Heuristic Search Based Model for Task Offloading and Time Allocation in Mobile Edge Computing. ICCAI (2020)
Yufan Xu, Yuta Taniguchi, Yoshiko Goda, Atsushi Shimada, Masanori Yamada
Development of a Visualization System to Enhance Participation in Computer-Supported Collaboration Learning. TALE (2020)
Xuewang Geng, Yufan Xu, Li Chen, Hiroaki Ogata, Atsushi Shimada, Masanori Yamada
Learning Analytics of the Relationships among Learning Behaviors, Learning Performance, and Motivation. ICALT (2020)
Li Chen, Yufan Xu, Xuewang Geng, Hiroaki Ogata, Atsushi Shimada, Masanori Yamada
Do different instructional styles affect students' learning on summer assignments? ICALT (2020)
Kaan Genç, Jake Roemer, Yufan Xu, Michael D. Bond
Dependence-Aware, Unbounded Sound Predictive Race Detection. CoRR (2019)
Zeyu Lei, Yan Wang, Yufan Xu, Rui Huang
From Coarse to Fine: A Monocular Depth Estimation Model Based on Left-Right Consistency. ICCT (2019)
Kaan Genç, Jake Roemer, Yufan Xu, Michael D. Bond
Dependence-aware, unbounded sound predictive race detection. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)