Nan Li
6 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Tiny Buffer TCP for Data Center Networks
2019 · arXiv (Cornell University)
A low and stable buffer occupancy is critical to achieve high throughput, low packet drop rate, low latency, and low jitter for data center networks. It also allows switch chips to support higher port density, …
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Maximizing Cumulative User Engagement in Sequential Recommendation
2020
To maximize cumulative user engagement (e.g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate user engagement (e.g., click-through rate) and encouraging user browsing …
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Diverging assessments: What, Why, and Experiences
2024
In this experience paper, we introduce the concept of 'diverging assessments', process-based assessments designed so that they become unique for each student while all students see a common skeleton. We present experiences with diverging assessments …
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Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder
2024 · IEEE Transactions on Wireless Communications
This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available capacity, we propose a novel semantic compression method, …
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Evolutionary Graph Fusion Architecture Search
2025
The great success of graph neural networks (GNNs) in graph-structured data tasks benefits from the powerful structure learning abilities of their architectures. For complex datasets, too deep GNNs can suffer from over-smoothing problem, leading to …
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Towards Flow-Matching-based TTS without Classifier-Free Guidance
2025 · arXiv (Cornell University)
Flow matching has demonstrated strong generative capabilities and has become a core component in modern Text-to-Speech (TTS) systems. To ensure high-quality speech synthesis, Classifier-Free Guidance (CFG) is widely used during the inference of flow-matching-based TTS …