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2020 – today
- 2022
[c13]Yi Ju
, Amir Raoofy, Dai Yang, Erwin Laure, Martin Schulz:
Exploiting Reduced Precision for GPU-based Time Series Mining. IPDPS 2022: 124-134- [c12]Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 2022: 66-78 - [i3]Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, Jorge Cardoso:
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR abs/2209.03177 (2022) - 2020
- [b1]Dai Yang:
Fault Tolerant Optimizations for High Performance Computing Systems. Technical University of Munich, Germany, 2020 - [j4]Bengisu Elis, Dai Yang, Olga Pearce, Kathryn M. Mohror, Martin Schulz:
QMPI: A next generation MPI profiling interface for modern HPC platforms. Parallel Comput. 96: 102635 (2020) - [c11]Dominik Huber, Martin Schreiber, Dai Yang, Martin Schulz:
Cache-Aware Matrix Polynomials. ICCS (1) 2020: 132-146 - [c10]Amir Raoofy, Roman Karlstetter, Dai Yang, Carsten Trinitis, Martin Schulz:
Time Series Mining at Petascale Performance. ISC 2020: 104-123
2010 – 2019
- 2019
- [c9]Alvaro Frank, Dai Yang, André Brinkmann, Martin Schulz, Tim Süß:
Reducing False Node Failure Predictions in HPC. HiPC 2019: 323-332 - [c8]Dai Yang, Tilman Küstner, Rami G. Al Rihawi, Martin Schulz:
Exploring High Bandwidth Memory for PET Image Reconstruction. PARCO 2019: 219-228 - [c7]Bengisu Elis, Dai Yang, Martin Schulz:
QMPI: a next generation MPI profiling interface for modern HPC platforms. EuroMPI 2019: 4:1-4:10 - [c6]David Jauk, Dai Yang, Martin Schulz:
Predicting faults in high performance computing systems: an in-depth survey of the state-of-the-practice. SC 2019: 30:1-30:13 - 2018
- [c5]Thomas Becker, Dai Yang, Tilman Küstner, Martin Schulz:
Co-Scheduling in a Task-Based Programming Model. COSH@HiPEAC 2018: 9-14 - 2017
- [c4]Dai Yang, Josef Weidendorfer, Carsten Trinitis, Tilman Küstner, Sibylle Ziegler:
Enabling Application-Integrated Proactive Fault Tolerance. PARCO 2017: 475-484 - 2015
- [i2]Jeffrey Ling, Kai Xiao, Dai Yang:
Online Algorithms Modeled After Mousehunt. CoRR abs/1501.01720 (2015) - 2012
- [j3]Jianwei Chen, Xiaofei Wang, Dai Yang, Boming Fan:
Nonparametric Modeling Auxiliary Covariates in Random Coefficient Models. Commun. Stat. Simul. Comput. 41(8): 1271-1281 (2012) - [i1]Tanya Khovanova, Dai Yang:
Halving Lines and Their Underlying Graphs. CoRR abs/1210.4959 (2012)
2000 – 2009
- 2004
- [c3]Takehiro Moriya, Dai Yang, Tilman Liebchen:
Extended linear prediction tools for lossless audio coding. ICASSP (3) 2004: 1008-1011 - [c2]Dai Yang, Takehiro Moriya, Tilman Liebchen:
A lossless audio compression scheme with random access property. ICASSP (3) 2004: 1016-1019 - 2003
- [j2]Dai Yang, Hongmei Ai, Chris Kyriakakis, C.-C. Jay Kuo:
Progressive Syntax-Rich Coding of Multichannel Audio Sources. EURASIP J. Adv. Signal Process. 2003(10): 980-992 (2003) - [j1]Dai Yang, Hongmei Ai, Chris Kyriakakis, C.-C. Jay Kuo:
High-fidelity multichannel audio coding with Karhunen-Loeve transform. IEEE Trans. Speech Audio Process. 11(4): 365-380 (2003) - 2002
- [c1]Dai Yang, Hongmei Ai, C.-C. Jay Kuo:
Progressive multichannel audio codec (PMAC) with rich features. ICASSP 2002: 2717-2720
Coauthor Index
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