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08/27/2023
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach
Lung cancer, particularly in its advanced stages, remains a leading caus...
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05/25/2023
All about sample-size calculations for A/B testing: Novel extensions and practical guide
While there exists a large amount of literature on the general challenge...
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11/23/2022
Embedding Compression for Text Classification Using Dictionary Screening
In this paper, we propose a dictionary screening method for embedding co...
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11/15/2022
A Universal Discriminator for Zero-Shot Generalization
Generative modeling has been the dominant approach for large-scale pretr...
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11/12/2022
On the Sum-Capacity of Two-User Optical Intensity Multiple Access Channels
This paper investigates the sum-capacity of two-user optical intensity m...
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03/28/2022
Multi-source wideband doa estimation method by frequency focusing and error weighting
In this paper, a new multi-source wideband direction of arrival (MSW-DOA...
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01/18/2022
Improved Receivers for Optical Wireless OFDM: An Information Theoretic Perspective
We consider performance enhancement of asymmetrically-clipped optical or...
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12/15/2021
Automatic Product Copywriting for E-Commerce
Product copywriting is a critical component of e-commerce recommendation...
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11/23/2021
On the Capacity of MISO Optical Intensity Channels With Per-Antenna Intensity Constraints
This paper investigates the capacity of general multiple-input single-ou...
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09/27/2021
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
The few-shot natural language understanding (NLU) task has attracted muc...
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08/13/2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
Most previous methods for text data augmentation are limited to simple t...
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02/09/2021
Nonparametric C- and D-vine based quantile regression
Quantile regression is a field with steadily growing importance in stati...
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09/30/2020
Turbulent Details Simulation for SPH Fluids via Vorticity Refinement
A major issue in Smoothed Particle Hydrodynamics (SPH) approaches is the...
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06/12/2020
Detangling robustness in high dimensions: composite versus model-averaged estimation
Robust methods, though ubiquitous in practice, are yet to be fully under...
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05/12/2020
Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters
The freedom of fast iterations of distributed deep learning tasks is cru...
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12/24/2019
Bandlimited Communication With One-Bit Quantization and Oversampling: Transceiver Design and Performance Evaluation
We investigate design and performance of communications over the bandlim...
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10/10/2019
Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space
In the generative model approach of machine learning, it is essential to...
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09/30/2019
MIOpen: An Open Source Library For Deep Learning Primitives
Deep Learning has established itself to be a common occurrence in the bu...
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02/12/2019
An Enhanced SDR based Global Algorithm for Nonconvex Complex Quadratic Programs with Signal Processing Applications
In this paper, we consider a class of nonconvex complex quadratic progra...
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11/04/2018
Bounds on Capacity Region of Optical Intensity Multiple Access Channel
This paper provides new inner and outer bounds on the capacity region of...
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05/30/2018
Capacity bounds for bandlimited Gaussian channels with peak-to-average-power-ratio constraint
We revisit Shannon's problem of bounding the capacity of bandlimited Gau...
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07/06/2017
Long-Term Memory Networks for Question Answering
Question answering is an important and difficult task in the natural lan...
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10/18/2016
