Yuxuan Li

According to our database1, Yuxuan Li authored at least 21 papers between 2009 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor.
TACO, 2019

Chewing Monitoring With Bone-Conduction Microphone for Body Area Network.
IEEE Access, 2019

Million-Core-Scalable Simulation of the Elastic Migration Algorithm on Sunway TaihuLight Supercomputer.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Student cluster competition 2017, team Tsinghua University: Reproducing vectorization of the tersoff multi-body potential on the Intel Skylake and NVIDIA Volta architectures.
Parallel Computing, 2018

Simulating the Wenchuan earthquake with accurate surface topography on Sunway TaihuLight.
Proceedings of the International Conference for High Performance Computing, 2018

Adaptive Simultaneous Multi-tenancy for GPUs.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2018

KRNN: k Rare-class Nearest Neighbour classification.
Pattern Recognition, 2017

APMD: A fast data transmission protocol with reliability guarantee for pervasive sensing data communication.
Pervasive and Mobile Computing, 2017

XoT: A Flexible Block I/O Data Transfer Protocol for Xen.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors.
Personal and Ubiquitous Computing, 2016

Accelerating Markov Random Field Inference Using Molecular Optical Gibbs Sampling Units.
Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Efficient mining of platoon patterns in trajectory databases.
Data Knowl. Eng., 2015

Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data.
Proceedings of the New Frontiers in Artificial Intelligence, 2015

Mining gap-constrained sequential patterns in certain and uncertain databases.
PhD thesis, 2014

Efficient Matching of Substrings in Uncertain Sequences.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Improving k Nearest Neighbor with Exemplar Generalization for Imbalanced Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

An Empirical Study of Learning from Imbalanced Data.
Proceedings of the Twenty-Second Australasian Database Conference, 2011

A Cluster-Based Noise Detection Algorithm.
Proceedings of the First International Workshop on Database Technology and Applications, 2009