Wei Zhou
13 papers in the PaperMetrix corpus
Papers by this author
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ETTF: A Trusted Trading Framework Using Blockchain in E-commerce
2018
Improving efficiency and performance is an important topic in the world today. As it is well-known, cooperative computing is an effective and traditional approach, and it is widely used in various fields. Inspired by this …
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Review-Driven Answer Generation for Product-Related Questions in E-Commerce
2019 · arXiv (Cornell University)
The users often have many product-related questions before they make a purchase decision in E-commerce. However, it is often time-consuming to examine each user review to identify the desired information. In this paper, we propose …
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Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning
2019
In large-scale enterprise data centers for big data analytics, long batched jobs and short interactive jobs are usually mixed. Hybrid job schedulers, consisting of one centralized scheduler for long jobs and multiple distributed schedulers for …
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An Efficient Secure Coded Edge Computing Scheme Using Orthogonal Vector
2019
In recent years, Edge Computing (EC) has attracted increasing attention for its advantages in handling latencysensitive and compute-intensive applications. It is becoming a widespread solution to solve the last mile problem of cloud computing. However, …
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Drug Governance: IoT-based Blockchain Implementation in the Pharmaceutical Supply Chain
2020
Pharmaceutical drugs are essential in diagnosing and treating patients. However, over the past decade, the issue of fraud and abuse drugs in the pharmaceutical supply chain has become increasingly apparent. To solve these problems, a …
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Investigations on Phoneme-Based End-To-End Speech Recognition.
2020 · arXiv (Cornell University)
Common end-to-end models like CTC or encoder-decoder-attention models use characters or subword units like BPE as the output labels. We do systematic comparisons between grapheme-based and phoneme-based output labels. These can be single phonemes without …
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FedH2L: Federated Learning with Model and Statistical Heterogeneity
2021 · arXiv (Cornell University)
Federated learning (FL) enables distributed participants to collectively learn a strong global model without sacrificing their individual data privacy. Mainstream FL approaches require each participant to share a common network architecture and further assume that …
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Challenging distributional models with a conceptual network of philosophical terms
2021
Yvette Oortwijn, Jelke Bloem, Pia Sommerauer, Francois Meyer, Wei Zhou, Antske Fokkens. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
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Rank-Sensitive Computation of the Rank Profile of a Polynomial Matrix
2022
Consider a matrix F ε K [x]^mxn of univariate polynomials over a field K. We study the problem of computing the column rank profile of F. To this end we first give an algorithm which …
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On Language Model Integration for RNN Transducer based Speech Recognition
2021 · arXiv (Cornell University)
The mismatch between an external language model (LM) and the implicitly learned internal LM (ILM) of RNN-Transducer (RNN-T) can limit the performance of LM integration such as simple shallow fusion. A Bayesian interpretation suggests to …
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Trustworthy Diagnostics With Out-of-Distribution Detection: A Novel Max-Consistency and Min-Similarity Guided Deep Ensembles for Uncertainty Estimation
2024 · IEEE Internet of Things Journal
The unknow fault diagnosis technology in industrial systems implies significant engineering application value and opportunities. The difficulty stems from the fact that the unknown fault samples frequently originate from the diagnostic model’s unknow distribution, leading …
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Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
2024
Zhenpeng Su, Xing W, Wei Zhou, Guangyuan Ma, Songlin Hu. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.
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Research On Smart Energy-saving Technology for Data Center Based on Adaptive Temperature Threshold
2024
The purpose of this paper is to study an energy-saving technology based on adaptive temperature threshold for fresh air and air conditioner intelligent switching, in order to provide new ideas and methods for energy-saving management …