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09/11/2023
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
Large Language Models (LLMs) have proven their exceptional capabilities ...
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08/18/2023
PUMGPT: A Large Vision-Language Model for Product Understanding
Recent developments of multi-modal large language models have demonstrat...
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03/07/2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
In this paper, considering the balance of data/model privacy of model ow...
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11/29/2022
A novel convergence enhancement method based on Online Dimension Reduction Optimization
Iterative steady-state solvers are widely used in computational fluid dy...
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05/19/2022
Individual and Collective Performance Deteriorate in a New Team: A Case Study of CS:GO Tournaments
How does the team formation relates to team performance in professional ...
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11/26/2021
Testability-Aware Low Power Controller Design with Evolutionary Learning
XORNet-based low power controller is a popular technique to reduce circu...
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11/21/2021
Challenging Machine Learning-based Clone Detectors via Semantic-preserving Code Transformations
Software clone detection identifies similar code snippets. It has been a...
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10/26/2021
Image Magnification Network for Vessel Segmentation in OCTA Images
Optical coherence tomography angiography (OCTA) is a novel non-invasive ...
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01/12/2021
UCNN: A Convolutional Strategy on Unstructured Mesh
In machine learning for fluid mechanics, fully-connected neural network ...
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12/21/2020
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling
We propose a novel Transformer encoder-based architecture with syntactic...
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05/22/2020
CovidNet: To Bring Data Transparency in the Era of COVID-19
Timely, creditable, and fine-granular case information is vital for loca...
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05/22/2020
CovidNet: To Bring the Data Transparency in Era of COVID-19
Timely, creditable, and fine-granular case information is vital for loca...
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10/28/2019
Layer Pruning for Accelerating Very Deep Neural Networks
In this paper, we propose an adaptive pruning method. This method can cu...
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07/24/2019
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
Multi-view echocardiographic sequences segmentation is crucial for clini...
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07/22/2019
