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Yue Cheng

LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data

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Oct 28, 2024
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LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models

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Oct 26, 2024
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Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask

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Feb 20, 2024
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Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

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Jan 04, 2024
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Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction

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Aug 25, 2023
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Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization

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May 31, 2022
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A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems

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Apr 16, 2022
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Community-based Layerwise Distributed Training of Graph Convolutional Networks

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Dec 17, 2021
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Asynchronous Federated Learning for Sensor Data with Concept Drift

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Sep 01, 2021
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Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework

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May 20, 2021
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