You Zhou

ORCID: 0009-0005-0919-5793
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About
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Research Areas
  • Advanced Data Storage Technologies
  • Algorithms and Data Compression
  • Caching and Content Delivery
  • Distributed and Parallel Computing Systems
  • Topic Modeling
  • Natural Language Processing Techniques
  • Epilepsy research and treatment
  • Advanced MRI Techniques and Applications
  • Advanced Topics in Algebra
  • Authorship Attribution and Profiling
  • Optical and Acousto-Optic Technologies
  • Medical Imaging Techniques and Applications
  • Numerical methods in inverse problems
  • Nonlinear Waves and Solitons
  • Diet and metabolism studies
  • Sentiment Analysis and Opinion Mining
  • Algebraic structures and combinatorial models

University of Massachusetts Lowell
2024

Huazhong University of Science and Technology
1994-2024

NVMe zoned namespace (ZNS) SSDs present a new class of storage devices with attractive features including low cost, software definability, and stable performance. However, one primary culprit that hinders the adoption ZNS is high garbage collection (GC) overhead it brings to host software. The interface divides logical address space into size-fixed zones must be written sequentially. Despite being friendly flash memory, requires perform out-of-place updates GC on individual zones. Current...

10.1109/iccd58817.2023.00052 article EN 2023-11-06

Existing tools to detect text generated by a large language model (LLM) have met with certain success, but their performance can drop when dealing texts in new domains. To tackle this issue, we train ranking classifier called RoBERTa-Ranker, modified version of RoBERTa, as baseline using dataset constructed that includes wider variety written humans and various LLMs. We then present method fine-tune RoBERTa-Ranker requires only small amount labeled data domain. Experiments show fine-tuned...

10.1145/3685650.3685673 preprint EN 2024-08-20

We construct a contextual network to represent document with syntactic and semantic relations between word-sentence pairs, based on which we devise an unsupervised algorithm called CNATAR (Contextual Network And Text Analysis Rank) score sentences, rank them through bi-objective 0-1 knapsack maximization problem over topic analysis sentence scores. show that outperforms the combined ranking of three human judges provided SummBank dataset under both ROUGE BLEU metrics, in term significantly...

10.48550/arxiv.2203.04459 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01
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