Da Zheng
Orcid: 0000-0001-8115-5415
According to our database1,
Da Zheng
authored at least 66 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
2023
CoRR, 2023
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks.
CoRR, 2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the International Conference for High Performance Computing, 2023
Proceedings of the International Conference for High Performance Computing, 2023
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
Proc. VLDB Endow., 2022
CoRR, 2022
CoRR, 2022
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs.
CoRR, 2021
Proceedings of the WSDM '21, 2021
Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Assessment of the accuracy of several methods for measuring the spatial attitude of geological bodies using an android smartphone.
Comput. Geosci., 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
CoRR, 2019
2018
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers.
CoRR, 2018
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018
2017
IEEE Trans. Parallel Distributed Syst., 2017
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017
2016
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs.
CoRR, 2016
Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture.
CoRR, 2016
CoRR, 2016
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016
2015
Proceedings of the 13th USENIX Conference on File and Storage Technologies, 2015
2014
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014
2013
Proceedings of the International Conference for High Performance Computing, 2013
Parallel Set Determination and K-Means Clustering for Data Mining on Telecommunication Networks.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013
2012
Int. J. Parallel Program., 2012
Proceedings of the 4th USENIX Workshop on Hot Topics in Storage and File Systems, 2012
2011
Extending classic telecommunication addressing schemes for Home Gateway based user content and services discovery.
Proceedings of the 2011 IEEE Consumer Communications and Networking Conference, 2011
2010
Stability Analysis of Time Delayed System with Coefficient Uncertainty and Time Delay Uncertainty.
Eur. J. Control, 2010
Signal reconstruction and frequency estimation of a biased and noisy sinusoidal signal.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010