b'Jiahao Chen'

research

∙ 11/02/2021

On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services

Artificial intelligence (AI) continues to find more numerous and more cr...

Eren Kurshan, et al. ∙

research

∙ 10/06/2021

Adversarial Attacks on Machinery Fault Diagnosis

Despite the great progress of neural network-based (NN-based) machinery ...

Jiahao Chen, et al. ∙

research

∙ 08/11/2021

Ontology drift is a challenge for explainable data governance

We introduce the needs for explainable AI that arise from Standard No. 2...

Jiahao Chen, et al. ∙

research

∙ 08/11/2021

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice

We review practical challenges in building and deploying ethical AI at t...

Jiahao Chen, et al. ∙

research

∙ 08/11/2021

Seven challenges for harmonizing explainability requirements

Regulators have signalled an interest in adopting explainable AI(XAI) te...

Jiahao Chen, et al. ∙

research

∙ 07/15/2021

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms

In this paper, we propose a simple yet effective solution to build pract...

Jiahao Chen, et al. ∙

research

∙ 06/29/2021

Counterfactual Explanations for Arbitrary Regression Models

We present a new method for counterfactual explanations (CFEs) based on ...

Thomas Spooner, et al. ∙

research

∙ 06/16/2021

Model-Based Counterfactual Synthesizer for Interpretation

Counterfactuals, serving as one of the emerging type of model interpreta...

Fan Yang, et al. ∙

research

∙ 11/19/2020

Provable Multi-Objective Reinforcement Learning with Generative Models

Multi-objective reinforcement learning (MORL) is an extension of ordinar...

Dongruo Zhou, et al. ∙

research

∙ 11/04/2020

Debiasing classifiers: is reality at variance with expectation?

Many methods for debiasing classifiers have been proposed, but their eff...

Ashrya Agrawal, et al. ∙

research

∙ 10/09/2020

CryptoCredit: Securely Training Fair Models

When developing models for regulated decision making, sensitive features...

Leo de Castro, et al. ∙

research

∙ 10/09/2020

Paying down metadata debt: learning the representation of concepts using topic models

We introduce a data management problem called metadata debt, to identify...

Jiahao Chen, et al. ∙

research

∙ 10/09/2020

Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services

AI systems have found a wide range of application areas in financial ser...

Eren Kurshan, et al. ∙

research

∙ 07/21/2020

3D Correspondence Grouping with Compatibility Features

We present a simple yet effective method for 3D correspondence grouping....

Jiaqi Yang, et al. ∙

research

∙ 05/16/2020

Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms

Asking questions is one of the most crucial pedagogical techniques used ...

Gale Yan Huang, et al. ∙

research

∙ 04/09/2020

Heuristics for Link Prediction in Multiplex Networks

Link prediction, or the inference of future or missing connections betwe...

Robert E. Tillman, et al. ∙

research

∙ 04/07/2020

Model-Agnostic Characterization of Fairness Trade-offs

There exist several inherent trade-offs in designing a fair model, such ...

Joon Sik Kim, et al. ∙

research

∙ 09/01/2019

A Multimodal Alerting System for Online Class Quality Assurance

Online 1 on 1 class is created for more personalized learning experience...

Jiahao Chen, et al. ∙

research

∙ 11/27/2018

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved

Assessing the fairness of a decision making system with respect to a pro...

Jiahao Chen, et al. ∙

research

∙ 09/12/2018

Fair lending needs explainable models for responsible recommendation

The financial services industry has unique explainability and fairness c...

Jiahao Chen, et al. ∙

research

∙ 08/12/2018

Linguistic Relativity and Programming Languages

The use of programming languages can wax and wane across the decades. We...

Jiahao Chen, et al. ∙

research

∙ 08/09/2018

Fast computation of the principal components of genotype matrices in Julia

Finding the largest few principal components of a matrix of genetic data...

Jiahao Chen, et al. ∙

research

∙ 08/09/2018

Fast Flexible Function Dispatch in Julia

Technical computing is a challenging application area for programming la...

Jeff Bezanson, et al. ∙

research

∙ 08/15/2016

Robust benchmarking in noisy environments

We propose a benchmarking strategy that is robust in the presence of tim...

Jiahao Chen, et al. ∙

Jiahao Chen

Featured Co-authors

Fan Yang

Quanquan Gu

Xia Hu

Jiliang Tang

Hang Li

Nathan Kallus

Bernd Bischl

Yanning Zhang

Zitao Liu

Manuela Veloso

Ameet Talwalkar

On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services

Adversarial Attacks on Machinery Fault Diagnosis

Ontology drift is a challenge for explainable data governance

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice

Seven challenges for harmonizing explainability requirements

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms

Counterfactual Explanations for Arbitrary Regression Models

Model-Based Counterfactual Synthesizer for Interpretation

Provable Multi-Objective Reinforcement Learning with Generative Models

Debiasing classifiers: is reality at variance with expectation?

CryptoCredit: Securely Training Fair Models

Paying down metadata debt: learning the representation of concepts using topic models

Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services

3D Correspondence Grouping with Compatibility Features

Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms

Heuristics for Link Prediction in Multiplex Networks

Model-Agnostic Characterization of Fairness Trade-offs

A Multimodal Alerting System for Online Class Quality Assurance

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved

Fair lending needs explainable models for responsible recommendation

Linguistic Relativity and Programming Languages

Fast computation of the principal components of genotype matrices in Julia

Fast Flexible Function Dispatch in Julia

Robust benchmarking in noisy environments