Mo Sha

Orcid: 0000-0001-6876-9463

Affiliations:
  • National University of Singapore


According to our database1, Mo Sha authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
EncChain: Enhancing Large Language Model Applications with Advanced Privacy Preservation Techniques.
Proc. VLDB Endow., August, 2024

Object-oriented Unified Encrypted Memory Management for Heterogeneous Memory Architectures.
Proc. ACM Manag. Data, 2024

Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023
TEE-based General-purpose Computational Backend for Secure Delegated Data Processing.
Proc. ACM Manag. Data, December, 2023

2021
Accelerating Depth-First Traversal by Graph Ordering.
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

Self-adaptive Graph Traversal on GPUs.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
GPU-based Graph Traversal on Compressed Graphs.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment.
Proceedings of the IEEE International Conference on Data Mining, 2018

River: A Real-Time Influence Monitoring System on Social Media Streams.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Accelerating Dynamic Graph Analytics on GPUs.
Proc. VLDB Endow., 2017

Parallel Personalized Pagerank on Dynamic Graphs.
Proc. VLDB Endow., 2017

Technical Report: Accelerating Dynamic Graph Analytics on GPUs.
CoRR, 2017


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