b'Jiahao Chen'

research

∙ 08/04/2023

Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition

Optical Character Recognition (OCR) enables automatic text extraction fr...

0 Jiacheng Deng, et al. ∙

research

∙ 05/22/2023

Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning

Molecular representation learning is a crucial task in predicting molecu...

0 Jiahao Chen, et al. ∙

research

∙ 04/17/2023

Toward Auto-evaluation with Confidence-based Category Relation-aware Regression

Auto-evaluation aims to automatically evaluate a trained model on any te...

0 Jiexin Wang, et al. ∙

research

∙ 04/13/2023

Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution

How to estimate the uncertainty of a given model is a crucial problem. C...

0 Jiahao Chen, et al. ∙

research

∙ 02/14/2023

Enhancing Deep Knowledge Tracing with Auxiliary Tasks

Knowledge tracing (KT) is the problem of predicting students' future per...

0 Zitao Liu, et al. ∙

research

∙ 02/14/2023

Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

Knowledge tracing (KT) is a crucial technique to predict students' futur...

0 Jiahao Chen, et al. ∙

research

∙ 02/14/2023

simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing

Knowledge tracing (KT) is the problem of predicting students' future per...

0 Zitao Liu, et al. ∙

research

∙ 11/03/2022

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity

Existing regulations prohibit model developers from accessing protected ...

9 Faisal Hamman, et al. ∙

research

∙ 08/13/2022

Finding Point with Image: An End-to-End Benchmark for Vision-based UAV Localization

In the past, image retrieval was the mainstream solution for cross-view ...

7 Ming Dai, et al. ∙

research

∙ 08/04/2022

Differentially Private Counterfactuals via Functional Mechanism

Counterfactual, serving as one emerging type of model explanation, has a...

6 Fan Yang, et al. ∙

research

∙ 07/13/2022

Wide Deep Learning for Judging Student Performance in Online One-on-one Math Classes

In this paper, we investigate the opportunities of automating the judgme...

3 Jiahao Chen, et al. ∙

research

∙ 06/30/2022

Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations

Deep neural networks (DNNs) have been shown to be vulnerable against adv...

25 Mingyu Dong, et al. ∙

research

∙ 06/29/2022

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale

The success of DNNs is driven by the counter-intuitive ability of over-p...

16 Akshaj Kumar Veldanda, et al. ∙

research

∙ 06/24/2022

DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments

Online dialogic instructions are a set of pedagogical instructions used ...

2 Jiahao Chen, et al. ∙

research

∙ 06/23/2022

A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning

We propose a simple but effective method to recommend exercises with hig...

3 Shuyan Huang, et al. ∙

research

∙ 06/23/2022

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Knowledge tracing (KT) is the task of using students' historical learnin...

28 Zitao Liu, et al. ∙

research

∙ 04/07/2022

Characterizing User Behaviors in Open-Source Software User Forums: An Empirical Study

User forums of Open Source Software (OSS) enable end-users to collaborat...

0 Jazlyn Hellman, et al. ∙

research

∙ 03/22/2022

Residual-Guided Non-Intrusive Speech Quality Assessment

This paper proposes an approach to improve Non-Intrusive speech quality ...

6 Zhe Ye, et al. ∙

research

∙ 02/19/2022

The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness

Computer scientists are trained to create abstractions that simplify and...

2 Elizabeth Anne Watkins, et al. ∙

research

∙ 01/24/2022

DuVisor: a User-level Hypervisor Through Delegated Virtualization

Today's mainstream virtualization systems comprise of two cooperative co...

0 Jiahao Chen, et al. ∙

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...

7 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 ...

0 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...

4 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...

3 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...

5 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...

5 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 ...

4 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...

12 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...

8 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...

0 Ashrya Agrawal, et al. ∙

research

∙ 10/09/2020

CryptoCredit: Securely Training Fair Models

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

0 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...

0 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...

0 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....

0 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 ...

0 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...

7 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 ...

0 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...

0 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...

0 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...

0 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...

0 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...

0 Jiahao Chen, et al. ∙

research

∙ 08/09/2018

Fast Flexible Function Dispatch in Julia

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

0 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...

0 Jiahao Chen, et al. ∙

Jiahao Chen

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