According to our database1, Yuxuan Li authored at least 21 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor.
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
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 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