Education

Aug 2018 - Present

Arizona State University, Tempe, Arizona, United States

Ph.D. Student under supervision by Dr. Thoedore P. Pavlic

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Mar 2011 - Feb 2015

Soongsil University, Seoul, South Korea

B.S. Computer Science and Engineering

4.2/4.5 GPA

Professional Experience

Jun 2016 - Nov 2016

3Claps, Seoul, South Korea - Software Engineer

• I implemented an application in Python that automatically generates advertisements and a dashboard for profitable product forecasting and trending. 

• I developed a search engine optimization (SEO) application to improve search ranking in Google’s search engine.

Teaching

• Spring 2022 - CSE598 Bio-inspired AI and Optimization: Teaching Assistant

• Fall 2021 - CSE310 Data Structures and Algorithms: Teaching Assistant for lecturing and recitation 

• Fall 2020, Fall 2021, Spring 2022 - CSE 240 Intro to Programming Languages: Teaching Assistant for lecturing 

• Spring 2020 - CSE205 Object-Oriented Program & Data: Teaching Assistant for lecturing

• Fall 2019 - CSE579 Knowledge Representation and Reasoning: Graduate Student Assistant 

• Fall 2018, Spring 2019, Spring 2020 - CSE110 Principles of Programming: Teaching Assistant for laboratory 

Honors and Rewards

Spring 2024

SCAI Doctoral Fellowship

I received a SCAI Doctoral Fellowship from the School of Computing and Augmented Intelligence (SCAI) of Arizona State University. 

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Nov 28, 2023

The ASU Graduate and Professional Student Association (GPSA) Travel Grant Award

I received the ASU GPSA Travel Grand Award.

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Nov 27, 2023

The ASU School of Computing and Augmented Intelligence (SCAI) Conference Funding Award

I received the ASU SCAI Conference Funding Award.

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Nov 20, 2023

The Best UniReps Proceedings Award at UniReps at NeurIPS 2023

My work, Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks, was selected as the Best UniReps Proceedings at UniReps at NeurIPS 2023.

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Summer 2021 - 2022

SIRG Summer Fellowship

I received two consecutive summer fellowships from Arizona State University’s Social Insect Research Group (SIRG).

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Spring 2022

SCAI Doctoral Fellowship

I received a SCAI Doctoral Fellowship from the School of Computing and Augmented Intelligence (SCAI) of Arizona State University. 

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Dec 2015

Excellence Award at the 13th World Embedded Software Contest

I received an Excellence Award at the 13th World Embedded Software Contest in Seoul, South Korea. I developed a visual programming tool that supports developers who want to implement applications using the open-source library IoTivity.

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Jan 2015

Grand Award for the Best Undergraduate Paper at the Winter Conference of KIISE

My undergraduate research work, Implementation of Large-scale RDFS Reasoning Engine Based on Streaming Language, was selected as one of the Best Undergraduate Papers at the Winter Conference of The Korean Institute of Information Scientists and Engineers (KIISE).

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Dec 2014

Grand Award at the 12th World Embedded Software Contest

I received a Grand Award at the 12th World Embedded Software Contest in Seoul, South Korea. I developed a real-time kernel patch and a visualization application that can represent the status of all processes in real-time.

Service

• Reviewer

  • ReAlign at ICLR 2024 

  • UniReps at NeurIPS 2023 

Patents

Mar 2017

Jeon M., Hong J., Park Y., System and Method for processing SPARQL queries based on Spark SQL. Korea Patent No. 1020160049318

Publications

• Hong, J., Jeon, ES. Kim, C. Park, KH. Nath, U. Yang, Y. Turaga, P. and Pavlic, T.P., 2024. Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. arXiv preprint arXiv:2403.14140

• Hong, J., Park, KH. and Pavlic, T.P., 2023. Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. (IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024)

• Hong, J. and Pavlic, T.P., 2023. Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. (The Best UniReps Proceeding at UniReps@NeurIPS2023)

• Hong, J. and Pavlic, T.P., 2023. Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual Learning. arXiv preprint arXiv:2204.04297

• Hong, J. and Pavlic, T.P., 2021. Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection. (CLeaR2022@AAAI2022)

• Hong, J. and Pavlic, T.P., 2021. An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. (NeSy20/21@IJCLR2021)

• Hong, J. and Pavlic, T.P., 2021. KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks. arXiv preprint arXiv:2108.07554.

• Yoo, J.G., Ma, M., Kim, S., Moon, S., Yoo, J., Choi, Y., Hong, J.Y. and Kim, J.B., 2016. A Study of Visual Programming Tools for the Open Source Project IoTivity. International Information Institute (Tokyo). Information, 19(6B), p.2369.

• Yoo, J., Jeon, Y., Hong, J., Kim, D. and Lee, S., 2016. Design and Implementation of Real-time Kernel Patch System for Embedded Linux. International Journal of Applied Engineering Research, 11(2), pp.1485-1487.

• Jeon, M., Hong, J. and Park, Y., 2016. SPARQL query processing system over scalable triple data using SparkSQL framework. Journal of KIISE, 43(4), pp.450-459.

• Hong. J., Jeon, M. and Park, Y., 2016. Scalable Ontology Reasoning Using GPU Cluster Approach. Journal of KIISE, 43(1), pp.61-70

• Jeon, M., So, C., Jagvaral, B., Kim, K., Kim, J., Hong, J. and Park, Y., 2015. Scalable RDFS Reasoning Using the Graph Structure of In-Memory based Parallel Computing. Journal of KIISE, 42(8), pp.998-1009.

• Hong J., So B., Yoo J., Lee N., Lee S., Park Y., Implementation of Large-scale RDFS Reasoning Engine Based on Streaming Language. Winter Conference of Korean Institute of Information Scientists and Engineers. pp. 1284-1286, 2014.12

Workshops, Posters, and Presentations

Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace (Poster Presentation) - Hong J., Park KH and Pavlic, T.P

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 5, 2024, Waikoloa, HI, United States.

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Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks (Oral Presentation) - Hong J. and Pavlic, T.P

Unifying Representation in Neural Models (UniReps) Workshop at Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023.

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An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Visual Relationship Detection (Poster Presentation) - Hong J. and Pavlic, T.P

The SCAI AI Day, Nov 17, 2023, Arizona State University, AZ, United States.

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Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection (Poster Presentation) - Hong J. and Pavlic, T.P

The International Workshop on Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR), the AAAI Conference on Artificial Intelligence (AAAI) 2022, Virtual.

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An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning (Poster Presentation) - Hong J. and Pavlic, T.P

The International Workshop on Neural-Symbolic Learning and Reasoning (NeSy) 20/21, International Joint Conference on Learning

& Reasoning (IJCLR) 2021, Virtual.

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Knowledge Representation and Reasoning in Small Spaces: Randomly Weighted Networks Provide Higher Expressiveness (Oral Presentation) - Hong J. and Pavlic, T.P

The Workshop on Bio-Inspired Computing for Miniaturization and Energy Efficiency, 2020. 2, Arizona State University, AZ, United States.

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Implementation of Large-scale RDFS Reasoning Engine Based on Streaming Language (Oral Presentation) - Hong J., So B., Yoo

J., Lee N., Lee S., Park Y

The Winter Conference of Korean Institute of Information Scientists and Engineers, 2014. 12, Bogwang Phoenix Park,

Pyeongchang-gun, Gangwon-do, South Korea.

Technical Skills

• Programming Languages: Python, Java, Scala, C/C++

• Frameworks: PyTorch, TensorFlow, Apache Spark

• Operating Systems: Linux, Mac OS

• Databases: MySQL, PostgreSQL, JDBC