Xin Liu

ORCID: 0009-0001-5756-0004
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About
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Research Areas
  • Advanced ceramic materials synthesis
  • MXene and MAX Phase Materials
  • Metal Alloys Wear and Properties
  • Microstructure and Mechanical Properties of Steels
  • Surface Treatment and Residual Stress
  • Intermetallics and Advanced Alloy Properties
  • Distributed systems and fault tolerance
  • Advanced Database Systems and Queries
  • Aluminum Alloy Microstructure Properties
  • Cloud Computing and Resource Management
  • Advanced materials and composites
  • Metallurgy and Material Forming
  • Advanced Data Storage Technologies
  • Aluminum Alloys Composites Properties

Harbin Institute of Technology
2017-2024

Stream join is a fundamental operation in stream processing and has attracted extensive research due to its large resource consumption serious impact on system performance. As the theoretical basis of systems, model greatly affects State-of-the-art models either consume too much computing resources or storage resources, thus resulting lower throughput higher latency. In this paper, we propose new for arbitrary predicates, called CoModel, which offers flexible trade-off between memory...

10.1145/3654953 article EN Proceedings of the ACM on Management of Data 2024-05-29

Recent years have witnessed a clear trend towards language models with an ever-increasing number of parameters, as well the growing training overhead and memory usage. Distributed training, particularly through Sharded Data Parallelism (ShardedDP) which partitions optimizer states among workers, has emerged crucial technique to mitigate time Yet, major challenge in scalability ShardedDP is intensive communication weights gradients. While compression techniques can alleviate this issue, they...

10.48550/arxiv.2410.15526 preprint EN arXiv (Cornell University) 2024-10-20
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