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Di Wang

17 ورقة في مجموعة PaperMetrix

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  1. Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results

    2018 · arXiv (Cornell University)

    Fuel cells are a promising power source for future data centers, offering high energy efficiency, low greenhouse gas emissions, and high reliability. However, due to mechanical limitations related to fuel delivery, fuel cells are slow …

  2. Research on Library Self-Service Retrieval Service for College Students' Readers

    2019

    The self-service level of college students' library is one of the indicators reflecting the comprehensive quality of a country's college students. The level of self-searching ability of college students' library reflects the overall quality of …

  3. Construction and Querying of Ancient Poet Knowledge Graph

    2019 · Journal of Physics Conference Series

    Abstract In recent years, with the development of knowledge graph techniques, how to construct various of knowledge graphs from different application domains has become important issues. This paper proposes a construction and querying approach for …

  4. On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data

    2020 · arXiv (Cornell University)

    In this paper, we consider the problem of designing Differentially Private (DP) algorithms for Stochastic Convex Optimization (SCO) on heavy-tailed data. The irregularity of such data violates some key assumptions used in almost all existing …

  5. Secure Ride-Sharing Services Based on a Consortium Blockchain

    2020 · IEEE Internet of Things Journal

    Due to poor traffic conditions and the high costs of traveling by private cars, ride sharing has become a popular means to trip. In view of the security threats and centralization existing in the current …

  6. Design and Implementation of Remote Multimedia Physical Education Teaching System Based on Mobile Terminal

    2021 · 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)

    With the rapid development of modern information technology, the development of Internet technology has deeply influenced people's life style and economic activities, and has also changed the traditional education mode. College physical education informatization is …

  7. A Study on the Promotion of College Students’ E-reading Behavior Based on the Reading Behavior of Colleges and Universities

    2019 · IOP Conference Series Earth and Environmental Science

    Abstract Reading changes people’s lives, and the depth of E-reading influences people’s life style. This paper takes the promotion and analysis of E-reading behavior as the breakthrough point, takes college students as the analysis object …

  8. Kullback-Leibler-Based Discrete Failure Time Models for Integration of Published Prediction Models with New Time-To-Event Dataset

    2021 · arXiv (Cornell University)

    Prediction of time-to-event data often suffers from rare event rates, small sample sizes, high dimensionality and low signal-to-noise ratios. Incorporating published prediction models from large-scale studies is expected to improve the performance of prognosis prediction …

  9. On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data

    2022 · arXiv (Cornell University)

    In this paper, we study the problem of PAC learning halfspaces in the non-interactive local differential privacy model (NLDP). To breach the barrier of exponential sample complexity, previous results studied a relaxed setting where the …

  10. Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer

    2023 · arXiv (Cornell University)

    Recent studies on knowledge graphs (KGs) show that path-based methods empowered by pre-trained language models perform well in the provision of inductive and explainable relation predictions. In this paper, we introduce the concepts of relation …

  11. Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning

    2023 · arXiv (Cornell University)

    In this paper, we investigate the problem of \textit{episodic reinforcement learning} with quantum oracles for state evolution. To this end, we propose an \textit{Upper Confidence Bound} (UCB) based quantum algorithmic framework to facilitate learning of …

  12. Characteristic Analysis of the MS6.0 Ma'erkang Earthquake Sequence on Jun. 10, 2022

    2024 · Journal of risk analysis and crisis response

    On June 10, 2022, the MS6.0 Ma'erkang earthquake sequence occurred in the Bayan Har block. In this paper, the temporal and spatial distribution and attenuation characteristics of earthquake sequence is analyzed based on the regional …

  13. A Restricted-Learning Network With Observation Credibility Inference for Few-Shot Degradation Modeling

    2025 · IEEE Transactions on Automation Science and Engineering

    Multiple sensors are widely used in the monitoring of the degradation process and prediction of the remaining useful lifetime (RUL) of units in complex engineering systems. However, ensuring the prognostic performance with only a few …

  14. Towards Stable and Explainable Attention Mechanisms

    2025 · IEEE Transactions on Knowledge and Data Engineering

    Currently, attention mechanism has become a standard fixture in most state-of-the-art natural language processing (NLP) models, not only due to the outstanding performance it could gain but also due to plausible innate explanations for the …

  15. Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization

    2025 · Proceedings of the AAAI Conference on Artificial Intelligence

    In this paper, we study the problem of (finite sum) minimax optimization in the Differential Privacy (DP) model. Unlike most of the previous studies on the (strongly) convex-concave settings or loss functions satisfying the Polyak-Lojasiewicz …

  16. Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs

    2025

    Recent investigations on the effectiveness of Graph Neural Network (GNN)-based models for link prediction in Knowledge Graphs (KGs) show that vanilla aggregation does not significantly impact the model performance. In this paper, we introduce a …

  17. A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering

    2015

    Di Wang, Eric Nyberg. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2015.