Wenbin Zhang | DeepAI

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Liang Zhao
139 publications
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98 publications
Jiwei Li
89 publications
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85 publications
Wanxiang Che
84 publications
Pradeep Ravikumar
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Ji Zhang
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Xiangliang Zhang
68 publications

∙ 09/16/2023

Rethinking Learning Rate Tuning in the Era of Large Language Models

Large Language Models (LLMs) represent the recent success of deep learni...

0 Hongpeng Jin, et al. ∙

∙ 08/21/2023

Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning

Numerical reasoning is vital for natural language processing models to u...

0 Dingzirui Wang, et al. ∙

∙ 06/14/2023

Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement

The goal of this study is to implement diffusion models for speech enhan...

15 Zilu Guo, et al. ∙

∙ 02/16/2023

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

The increasing use of Machine Learning (ML) software can lead to unfair ...

0 Zichong Wang, et al. ∙

∙ 02/16/2023

Preventing Discriminatory Decision-making in Evolving Data Streams

Bias in machine learning has rightly received significant attention over...

0 Zichong Wang, et al. ∙

∙ 02/16/2023

Individual Fairness Guarantee in Learning with Censorship

Algorithmic fairness, studying how to make machine learning (ML) algorit...

0 Wenbin Zhang, et al. ∙

∙ 01/29/2023

Fair Decision-making Under Uncertainty

There has been concern within the artificial intelligence (AI) community...

0 Wenbin Zhang, et al. ∙

∙ 01/09/2023

Unveiling and Mitigating Bias in Ride-Hailing Pricing for Equitable Policy Making

Ride-hailing services have skyrocketed in popularity due to the convenie...

0 Nripsuta Ani Saxena, et al. ∙

∙ 04/17/2022

Attention Mechanism based Cognition-level Scene Understanding

Given a question-image input, the Visual Commonsense Reasoning (VCR) mod...

0 Xuejiao Tang, et al. ∙

∙ 03/30/2022

Longitudinal Fairness with Censorship

Recent works in artificial intelligence fairness attempt to mitigate dis...

0 Wenbin Zhang, et al. ∙

∙ 02/15/2022

Fairness Amidst Non-IID Graph Data: A Literature Review

Fairness in machine learning (ML), the process to understand and correct...

2 Wenbin Zhang, et al. ∙

∙ 01/27/2022

Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences

The need to analyze information from streams arises in a variety of appl...

0 Thomas Guyet, et al. ∙

∙ 10/09/2021

Research on Knowledge based Expert System for Medical Diagnosis

In this paper we propose the design and implementation of a generic medi...

6 Xin Huang, et al. ∙

∙ 08/17/2021

FARF: A Fair and Adaptive Random Forests Classifier

As Artificial Intelligence (AI) is used in more applications, the need t...

0 Wenbin Zhang, et al. ∙

∙ 08/13/2021

Online Fairness-Aware Learning with Imbalanced Data Streams

Data-driven learning algorithms are employed in many online applications...

0 Vasileios Iosifidis, et al. ∙

∙ 08/06/2021

Interpretable Visual Understanding with Cognitive Attention Network

While image understanding on recognition-level has achieved remarkable a...

0 Xuejiao Tang, et al. ∙

∙ 04/12/2021

Complex Spectral Mapping With Attention Based Convolution Recurrent Neural Network for Speech Enhancement

Speech enhancement has benefited from the success of deep learning in te...

0 Liming Zhou, et al. ∙

∙ 03/27/2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction

Recent studies in big data analytics and natural language processing dev...

28 Xin Huang, et al. ∙

∙ 12/06/2020

A Data-driven Human Responsibility Management System

An ideal safe workplace is described as a place where staffs fulfill res...

0 Xuejiao Tang, et al. ∙

∙ 12/06/2020

Using Machine Learning to Automate Mammogram Images Analysis

Breast cancer is the second leading cause of cancer-related death after ...

13 Xuejiao Tang, et al. ∙

∙ 10/15/2020

Online Decision Trees with Fairness

While artificial intelligence (AI)-based decision-making systems are inc...

9 Wenbin Zhang, et al. ∙

∙ 10/14/2020

Disentangled Dynamic Graph Deep Generation

Deep generative models for graphs have exhibited promising performance i...

6 Wenbin Zhang, et al. ∙

∙ 07/16/2019

FAHT: An Adaptive Fairness-aware Decision Tree Classifier

Automated data-driven decision-making systems are ubiquitous across a wi...

0 Wenbin Zhang, et al. ∙

∙ 08/24/2018

A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification

A self-organizing map (SOM) is a type of competitive artificial neural n...

12 Wenbin Zhang, et al. ∙

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