This page is my attempt to keep all the information and records at one place.
You can also check my brief introduction in here.

Eduation

KAIST (Korea Advanced Institute of Science and Technology)

  • Ph.D. student in Artificial Intelligence, Feb 2022 - Present
  • M.S. student in Artificial Intelligence, Mar 2020 - Feb 2022
  • GPA: 4.22 / 4.30 (99.1 / 100)

Here is the list of courses that I took at KAIST:
2021: Machine Learning Thoery (S), M.S. Seminar <Colloquium> (S), M.S. Thesis Research (S)
2020: Advanced Deep Learning (A+), Deep Learning (A+), Graph Mining and Social Network Analysis (A+), Machine Learning for AI (A0), M.S. Seminar <Colloquium> (S), Programming for AI (S), Optimization for AI (S), Special Lecture on Leadership (S), Scientific Writing (S)
○ A+: 4.3/4.3, A0: 4.0/4.3, …, S: Satisfactory, U: Unsatisfactory, …

Korea University

  • Bachelor of Science in Computer Science and Engineering, Mar 2016 - Feb 2020
  • Bachelor of Engineering in Software Technology and Enterprise Program (Interdisciplinary Program), Aug 2017 - Feb 2020
  • GPA: 4.40 / 4.50 (98.9 / 100), GPA of Computer Science and Engineering: 4.48 / 4.50 (99.5 / 100)

Here is the list of Computer Science and Engineering courses that I took at Korea University:
2019: Introduction to Convex Optimization (A+), Software Project Management (A+), Operating Systems (A+), Project for Graduation (Capstone Design) I (P)
2018: Artificial Intelligence (A+), Data Science (A+), Databases (A+), Programming Language (A+), Software Engineering (A+), Machine Learning (A+), Entrepreneurship & Leadership (A+), Creative Software Design (A+), Computer Network (A+), Computer System Design (A), Internship Program I (P), Internship Program II (P)
2017: Python Programming for Everybody (A+), Discrete Mathematics (A+), Theory of Computation (A+), Digital Logic Design (A+), Data Structure (A+), Algorithms (A+), Computer Architecture (A+)
2016: Computer Programming I (A+), Mathematics for Computer Science I (A+), Computer Programming II (A+), Mathematics for Computer Science II (A+)
○ A+: 4.5/4.5, A: 4.0/4.5, …, P: Pass, F: Fail


Publications

* denotes the equal contribution.

Preprints

  • Jinheon Baek*, Wonyong Jeong*, Jiongdao Jin, Jaehong Yoon, and Sung Ju Hwang. Personalized Subgraph Federated Learning. Under Review. [paper]
  • Dongki Kim*, Jinheon Baek*, and Sung Ju Hwang. Graph Self-supervised Learning with Accurate Discrepancy Learning. Under Review. [paper]

Conferences

  • Minki Kang*, Jinheon Baek*, and Sung Ju Hwang. KALA: Knowledge-Augmented Language Model Adaptation. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. (Oral Presentation) [paper] [code]
  • Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang and Jong C. Park. Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (Oral Presentation) [paper] [code]
  • Jaehyeong Jo*, Jinheon Baek*, Seul Lee*, Dongki Kim, Minki Kang, and Sung Ju Hwang. Edge Representation Learning with Hypergraphs. Conference on Neural Information Processing Systems (NeurIPS), 2021. [paper] [code]
  • Wonyong Jeong*, Hayeon Lee*, Gun Park*, Eunyoung Hyung, Jinheon Baek, and Sung Ju Hwang. Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. Conference on Neural Information Processing Systems (NeurIPS), 2021. (Spotlight Presentation) [paper] [code]
  • Jinheon Baek*, MinKi Kang*, and Sung Ju Hwang. Accurate Learning of Graph Representations with Graph Multiset Pooling. International Conference on Learning Representations (ICLR), 2021. [paper] [code]
  • Jinheon Baek, Dong Bok Lee, and Sung Ju Hwang. Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. Conference on Neural Information Processing Systems (NeurIPS), 2020. [paper] [code]

Journal

  • Hyunjae Kim*, Yookyung Koh*, Jinheon Baek, and Jaewoo Kang. Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests. Neural Networks, 2021. [paper]

Workshops

  • Minki Kang*, Jin Myung Kwak*, Jinheon Baek*, and Sung Ju Hwang. Knowledge-Consistent Dialogue Generation with Knowledge Graphs. Knowledge Retrieval and Language Models Workshop at International Conference on Machine Learning (KRLM@ICML), 2022. (To Appear)
  • Soyeong Jeong, Jinheon Baek, ChaeHun Park, and Jong C. Park. Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation. Scholarly Document Processing at Conference of the North American Chapter of the Association for Computational Linguistics (SDP@NAACL), 2021. (Oral Presentation) [paper]

Domestic (Korean) Journals & Conferences

  • Jinheon Baek, Hayeon Kim, and Kiwon Kwon. Artificial Intelligence-Based High School Course and University Major Recommendation System for Course-Related Career Exploration. KIPS Transactions on Software and Data Engineering (KTSDE), 2021.
  • Jinheon Baek, Minki Kang, and Sung Ju Hwang. Graph Representation Learning with Attention-based Set Pooling. Conference of Korean Artificial Intelligence Association (CKAIA), 2020. (Best Paper)
  • Jinheon Baek, Gwanghoon Jang, Soyeong Jeong, Donghyeon Park, Kiwon Kwon, and Jaewoo Kang. Embedding Academic Majors and Lectures for Analyzing Departments in University. Korea Computer Congress (KCC), 2019. (Oral Presentation)
  • Donghyeon Park, Yonggyu Park, Buru Chang, Jinheon Baek, and Jaewoo Kang. Embedding Food Ingredients Based on Chemical Combination in Dense Vector Space. Korea Computer Congress (KCC), 2018. (Best Paper)
  • Jinheon Baek, Dakyeong Lee, Chaeyeon Hong, and Byeongtae Ahn. Multimodal Approach for Blocking Obscene and Violent Contents. Journal of Convergence for Information Technology (JCIT), 7(6), 2017.

Patents

  • Kiwon Kwon, and Jinheon Baek. Method for Building an Artificial Intelligence based Research Topics Database. Korean patent number: 10-2021-0017765 (filed on Feb 08, 2021; registered on Apr 19, 2022).
  • Kiwon Kwon, and Jinheon Baek. Method for Consulting on Exploration Activities based on Target Departments and Curriculum Achievement Standards. Korean patent number: 10-2021-0017764 (filed on Feb 08, 2021; registered on Mar 23, 2022).

Academic Services

Conference Reviewers

  • Learning on Graphs Conference (LoG), 2022
  • International Conference on Machine Learning (ICML), 2022
  • International Conference on Learning Representations (ICLR), 2022
  • Neural Information Processing Systems (NeurIPS), 2021 [link]
  • International Conference on Machine Learning (ICML), 2021 - Selected as one of best reviewers (Top 10%) [link]

Journal Reviewer

  • Transactions on Machine Learning Research (TMLR), 2022

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