b'Wei Dai'

research

∙ 08/29/2023

Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation

Given the prevalence of rolling bearing fault diagnosis as a practical i...

0 Jiang Liu, et al. ∙

research

∙ 08/21/2023

DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations

In e-commerce platforms, the relevant recommendation is a unique scenari...

0 Wei Dai, et al. ∙

research

∙ 08/19/2023

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Large language models (LLMs) have demonstrated exceptional performance i...

0 Liwen Zhang, et al. ∙

research

∙ 07/02/2023

Cloud Ensemble Learning for Fault Diagnosis of Rolling Bearings with Stochastic Configuration Networks

Fault diagnosis of rolling bearings is of great significance for post-ma...

0 Wei Dai, et al. ∙

research

∙ 07/01/2023

An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application

Incremental random weight neural networks (IRWNNs) have gained attention...

0 Jing Nan, et al. ∙

research

∙ 05/06/2023

Transformer-Based Hierarchical Clustering for Brain Network Analysis

Brain networks, graphical models such as those constructed from MRI, hav...

35 Wei Dai, et al. ∙

research

∙ 04/07/2023

Does Prompt-Tuning Language Model Ensure Privacy?

Prompt-tuning has received attention as an efficient tuning method in th...

0 Shangyu Xie, et al. ∙

research

∙ 03/10/2023

Explainable Semantic Medical Image Segmentation with Style

Semantic medical image segmentation using deep learning has recently ach...

0 Wei Dai, et al. ∙

research

∙ 01/06/2023

TrojanPuzzle: Covertly Poisoning Code-Suggestion Models

With tools like GitHub Copilot, automatic code suggestion is no longer a...

0 Hojjat Aghakhani, et al. ∙

research

∙ 12/16/2022

Planting and Mitigating Memorized Content in Predictive-Text Language Models

Language models are widely deployed to provide automatic text completion...

0 C. M. Downey, et al. ∙

research

∙ 10/19/2022

Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets

Image quality is important, and it can affect overall performance in ima...

0 Wei Dai, et al. ∙

research

∙ 10/13/2022

Brain Network Transformer

Human brains are commonly modeled as networks of Regions of Interest (RO...

15 Xuan Kan, et al. ∙

research

∙ 08/05/2022

First Glance Diagnosis: Brain Disease Classification with Single fMRI Volume

In neuroimaging analysis, functional magnetic resonance imaging (fMRI) c...

11 Wei Dai, et al. ∙

research

∙ 08/01/2022

MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild

Dynamic facial expression recognition (FER) databases provide important ...

0 Yuanyuan Liu, et al. ∙

research

∙ 07/14/2022

Active Data Pattern Extraction Attacks on Generative Language Models

With the wide availability of large pre-trained language model checkpoin...

0 Bargav Jayaraman, et al. ∙

research

∙ 06/30/2022

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Human brains lie at the core of complex neurobiological systems, where t...

13 Hejie Cui, et al. ∙

research

∙ 05/26/2022

Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics

As a randomized learner model, SCNs are remarkable that the random weigh...

0 Wei Dai, et al. ∙

research

∙ 05/23/2022

Data-Efficient Modeling for Precise Power Consumption Estimation of Quadrotor Operations Using Ensemble Learning

Electric Take-Off and Landing (eVTOL) aircraft is considered as the majo...

0 Wei Dai, et al. ∙

research

∙ 05/09/2022

HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis

Accurate and unbiased examinations of skin lesions are critical for earl...

9 Wei Dai, et al. ∙

research

∙ 04/06/2022

Unconstrained Proximal Operator: the Optimal Parameter for the Douglas-Rachford Type Primal-Dual Methods

In this work, we propose an alternative parametrized form of the proxima...

0 Yifan Ran, et al. ∙

research

∙ 03/17/2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Mapping the connectome of the human brain using structural or functional...

0 Hejie Cui, et al. ∙

research

∙ 03/11/2022

A New Learning Paradigm for Stochastic Configuration Network: SCN+

Learning using privileged information (LUPI) paradigm, which pioneered t...

21 Yanshuang Ao, et al. ∙

research

∙ 10/25/2021

Dictionary Learning Using Rank-One Atomic Decomposition (ROAD)

Dictionary learning aims at seeking a dictionary under which the trainin...

0 Cheng Cheng, et al. ∙

research

∙ 10/13/2021

Dictionary Learning with Convex Update (ROMD)

Dictionary learning aims to find a dictionary under which the training d...

0 Cheng Cheng, et al. ∙

research

∙ 09/12/2021

CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation

Direct automatic segmentation of objects from 3D medical imaging, such a...

29 Wei Dai, et al. ∙

research

∙ 07/11/2021

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis

Interpretable brain network models for disease prediction are of great v...

25 Hejie Cui, et al. ∙

research

∙ 07/05/2021

Third Party Risk Modelling and Assessment for Safe UAV Path Planning in Metropolitan Environments

Various applications of advanced air mobility (AAM) in urban environment...

0 Bizhao Pang, et al. ∙

research

∙ 03/13/2021

VMAF And Variants: Towards A Unified VQA

Video quality assessment (VQA) is now a fastgrowing subject, beginning t...

0 Pankaj Topiwala, et al. ∙

research

∙ 03/02/2021

Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation

This paper adds to the fundamental body of work on benchmarking the robu...

0 Wei Dai, et al. ∙

research

∙ 09/29/2020

Where is the Model Looking At?–Concentrate and Explain the Network Attention

Image classification models have achieved satisfactory performance on ma...

13 Wenjia Xu, et al. ∙

research

∙ 06/28/2020

Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis

Deep neural networks are parameterised by weights that encode feature re...

0 Siyu Liu, et al. ∙

research

∙ 06/27/2020

Learning Optimal Tree Models Under Beam Search

Retrieving relevant targets from an extremely large target set under com...

0 Jingwei Zhuo, et al. ∙

research

∙ 06/09/2020

Mathematical Theory of Atomic Norm Denoising In Blind Two-Dimensional Super-Resolution (Extended Version)

This paper develops a new mathematical framework for denoising in blind ...

0 Mohamed A. Suliman, et al. ∙

research

∙ 05/18/2020

Selective Confidence Intervals for Martingale Regression Model

In this paper we consider the problem of constructing confidence interva...

0 Ka Wai Tsang, et al. ∙

research

∙ 12/27/2019

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Fully-Homomorphic Encryption (FHE) offers powerful capabilities by enabl...

0 Roshan Dathathri, et al. ∙

research

∙ 09/20/2019

HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud

With the rapid increase in cloud computing, concerns surrounding data pr...

8 M. Sadegh Riazi, et al. ∙

research

∙ 09/20/2019

HEAX: An Architecture for Computing on Encrypted Data

With the rapid increase in cloud computing, concerns surrounding data pr...

0 M. Sadegh Riazi, et al. ∙

research

∙ 08/30/2019

Charge-Based Prison Term Prediction with Deep Gating Network

Judgment prediction for legal cases has attracted much research efforts ...

15 Huajie Chen, et al. ∙

research

∙ 07/05/2019

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

This paper surveys benchmarking principles, machine learning devices inc...

0 Wei Dai, et al. ∙

research

∙ 07/05/2019

Benchmarking Deep Learning Hardware and Frameworks: Qualitative Metrics

Previous survey papers offer knowledge of deep learning hardware devices...

0 Wei Dai, et al. ∙

research

∙ 07/05/2019

Qualitative Benchmarking of Deep Learning Hardware and Frameworks: Review and Tutorial

Previous survey papers offer knowledge of deep learning hardware devices...

0 Wei Dai, et al. ∙

research

∙ 06/24/2019

Dictionary Learning with BLOTLESS Update

Algorithms for learning a dictionary under which a data in a given set h...

0 Qi Yu, et al. ∙

research

∙ 02/26/2019

MC-ISTA-Net: Adaptive Measurement and Initialization and Channel Attention Optimization inspired Neural Network for Compressive Sensing

The optimization inspired network can bridge convex optimization and neu...

0 Nanyu Li, et al. ∙

research

∙ 11/05/2018

Blind Two-Dimensional Super-Resolution and Its Performance Guarantee

Super-resolution techniques are concerned with extracting fine-scale dat...

0 Mohamed A. Suliman, et al. ∙

research

∙ 10/16/2018

Improving Data Quality through Deep Learning and Statistical Models

Traditional data quality control methods are based on users experience o...

0 Wei Dai, et al. ∙

research

∙ 10/14/2018

Dimension Reduction for Origin-Destination Flow Estimation: Blind Estimation Made Possible

This paper studies the problem of estimating origin-destination (OD) flo...

0 Jingyuan Xia, et al. ∙

research

∙ 10/08/2018

Toward Understanding the Impact of Staleness in Distributed Machine Learning

Many distributed machine learning (ML) systems adopt the non-synchronous...

2 Wei Dai, et al. ∙

research

∙ 07/29/2018

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images

Convolutional neural networks have led to significant breakthroughs in t...

0 Nanqing Dong, et al. ∙

research

∙ 07/10/2018

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio

The cardiothoracic ratio (CTR), a clinical metric of heart size in chest...

2 Nanqing Dong, et al. ∙

research

∙ 01/15/2018

A Tight Converse to the Spectral Resolution Limit via Convex Programming

It is now well understood that convex programming can be used to estimat...

0 Maxime Ferreira Da Costa, et al. ∙

Wei Dai

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