publications

2026

1. ICML

   Active Attacks: Red-teaming LLMs via Adaptive Environments

   Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park, Yoshua Bengio, and Minsu Kim

   International Conference on Machine Learning, 2026

   PDF Code
2. ICML

   Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors

   Hyeonah Kim, Minsu Kim, Celine Roget, Dionessa Biton, Louis Vaillancourt, Yves V Brun, Yoshua Bengio, and Alex Hernández-García

   International Conference on Machine Learning, 2026

   PDF Code
3. ICLR

   Latent Veracity Inference for Identifying Errors in Stepwise Reasoning

   Minsu Kim^*, Jean-Pierre Falet^*, Oliver E Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, and Yoshua Bengio

   International Conference on Learning Representations, 2026

   PDF Code
4. ICLR

   Diffusion Alignment as Variational Expectation-Maximization

   Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, and Jinkyoo Park

   International Conference on Learning Representations, 2026
5. TMLR

   Offline Model-Based Optimization: Comprehensive Review

   Minsu Kim^*, Jiayao Gu^*, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, and Can Chen

   Transactions on Machine Learning Research, 2026

   Awarded PDF Code

   Survey Certification

2025

1. Preprint

   Self-Evolving Curriculum for LLM Reasoning

   Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alexandre Piché, Nicolas Gontier, Yoshua Bengio, and Ehsan Kamalloo

   arXiv preprint, 2025

   PDF Code
2. NeurIPS

   On Scalable and Efficient Training of Diffusion Samplers

   Minkyu Kim^*, Kiyoung Seong^*, Dongyeop Woo, Sungsoo Ahn, and Minsu Kim

   Advances in Neural Information Processing Systems, 2025

   PDF Code
3. NeurIPS

   Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training

   Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan Obando-Ceron, Yoshua Bengio, and Bhavya Kailkhura

   Advances in Neural Information Processing Systems. Previsouly presented at ICLR Workshop on Open Science for Foundation Models., 2025

   PDF Code
4. NeurIPS

   Energy-based Generator Matching: A Neural Sampler for General State Space

   Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, and Sungsoo Ahn

   Advances in Neural Information Processing Systems, 2025
5. NeurIPS

   Adaptive Cyclic Diffusion for Inference Scaling

   Gyubin Lee, Truong Nhat Nguyen Bao, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, and Sungjin Ahn

   Advances in Neural Information Processing Systems, 2025

   PDF
6. KDD

   Rl4co: an extensive reinforcement learning for combinatorial optimization benchmark

   Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, and  others

   Knowledge Discovery and Data Mining. Previously presented at NeurIPS Workshop on New Frontiers in Graph Learning., 2025

   Awarded PDF Code

   Oral presentation

7. ICML

   Improved Off-policy Reinforcement Learning in Biological Sequence Design

   Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-Garcı́a, and Jinkyoo Park

   International Conference on Machine Learning. Previously presented at NeurIPS 2024 Workshop on AI for New Drug Modalities, 2025

   PDF Code
8. ICML

   Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models

   Siddarth Venkatraman^*, Mohsin Hasan^*, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, and Nikolay Malkin

   International Conference on Machine Learning. Previously presented at ICLR 2025 workshop on Deep Generative Model in Machine Learning, 2025

   PDF Code
9. Thesis

   Off-policy Training Methods for Probablistic Agents in Combinatorial Space

   Minsu Kim

   Korea Advanced Institute of Science and Technology (KAIST), 2025

   Awarded PDF

   KAIST presidential best Ph.D. thesis award

10. AISTATS

    Ant Colony Sampling with GFlowNets for Combinatorial Optimization

    Minsu Kim^*, Sanghyeok Choi^*, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, and Yoshua Bengio

    International Conference on Artificial Intelligence and Statistics, 2025

    PDF Code
11. ICLR

    Adaptive Teachers for Amortized Samplers

    Minsu Kim^*, Sanghyeok Choi^*, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, and Yoshua Bengio

    International Conference on Learning Representations, 2025

    PDF Code
12. ICLR

    Generative Flows on Synthetic Pathway for Drug Design

    Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, and Woo Youn Kim

    International Conference on Learning Representations. Previously presented at NeurIPS 2024 AIDrugX Workshop, 2025

    PDF Code
13. ICLR

    MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks

    Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, and Sungsoo Ahn

    International Conference on Learning Representations. Previously presented at NeurIPS 2024 AIDrugX Workshop, 2025

    PDF Code
14. ICLR

    Learning Diverse Attacks on Large Language Models for Robust Red-teaming and Safety Tuning

    Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, and Moksh Jain

    International Conference on Learning Representations. Previously presented at NeurIPS 2024 Redteaming Workshop, 2025

    PDF Code

2024

1. TMLR

   Decoupled Sequence and Structure Generation for Realistic Antibody Design

   Nayoung Kim, Minsu Kim, Sungsoo Ahn, and Jinkyoo Park

   Transactions on Machine Learning Research, 2024

   PDF
2. NeurIPS WS

   Chiplet Placement and Routing Optimization: A Novel Benchmark and Neural Solver

   Haeyeon Kim, Federico Berto, Chuanbo Hua, Minsu Kim, Joungho Kim, and Jinkyoo Park

   NeurIPS Workshop on Machine Learning for Systems, 2024
3. NeurIPS WS

   Amortizing Intractable Inference in Diffusion Models for Bayesian Inverse Problems

   Siddarth Venkatraman^*, Moksh Jain^*, Luca Scimeca^*, Minsu Kim^*, Marcin Sendera^*, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, and 5 more authors

   NeurIPS Workshop on Machine Learning and the Physical Sciences (this is partial extended version of the NeurIPS 2024 Paper), 2024

   Awarded PDF Code

   Oral

4. NeurIPS

   Amortizing Intractable Inference in Diffusion Models for Vision, Language, and Control

   Siddarth Venkatraman^*, Moksh Jain^*, Luca Scimeca^*, Minsu Kim^*, Marcin Sendera^*, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, and 3 more authors

   Advances in Neural Information Processing Systems, 2024

   PDF Code
5. NeurIPS

   Pessimistic Backward Policy for GFlowNets

   Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, and Sungsoo Ahn

   Advances in Neural Information Processing Systems, 2024

   PDF Code
6. NeurIPS

   Improved Off-policy Training of Diffusion Samplers

   Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, and Nikolay Malkin

   Advances in Neural Information Processing Systems, 2024

   PDF Code
7. NeurIPS

   Genetic-guided GFlowNets for Sample Efficient Molecular Optimization

   Hyeonah Kim, Minsu Kim, Sanghyeok Choi, and Jinkyoo Park

   Advances in Neural Information Processing Systems, 2024

   PDF Code
8. ICML

   Learning to Scale Logits for Temperature-Conditional GFlowNets

   Minsu Kim^*, Joohwan Ko^*, Taeyoung Yun^*, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, and Yoshua Bengio

   International Conference on Machine Learning, 2024

   PDF Code
9. ICML

   Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization

   Hyeonah Kim, Minsu Kim, Sungsoo Ahn, and Jinkyoo Park

   International Conference on Machine Learning, 2024

   PDF Code
10. AAAI

    Equity-Transformer: Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context

    Jiwoo Son^*, Minsu Kim^*, Sanghyeok Choi, Hyeonah Kim, and Park Jinkyoo

    AAAI Conference on AI, 2024

    PDF Code
11. ICLR

    Local Search GFlowNets

    Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, and Jinkyoo Park

    International Conference on Learning Representations, 2024

    Awarded PDF Code

    Spotlight presentation, Google conference scholarship

12. ICLR

    Learning Energy Decompositions for Partial Inference of GFlowNets

    Hyosoon Jang, Minsu Kim, and Sungsoo Ahn

    International Conference on Learning Representations, 2024

    Awarded PDF Code

    Oral presentation

2023

1. Appl. Intell.

   Temporal enhanced inductive graph knowledge tracing

   Donghee Han, Daehee Kim, Minsu Kim, Keejun Han, and Mun Yong Yi

   Applied Intelligence, 2023
2. IEEE Transaction

   Bayesian Exploration Imitation Learning-Based Contextual via Design Optimization Method of PAM-4-Based High-Speed Serial Link

   Jihun Kim, Minsu Kim, Haeyeon Kim, Hyunwook Park, Seonguk Choi, Joonsang Park, Boogyo Sim, Keeyoung Son, Seongguk Kim, Jinwook Song, Youngwoo Kim, and Joungho Kim

   IEEE Transactions on Electromagnetic Compatibility, 2023

   DOI
3. IEEE Transaction

   Deep Reinforcement Learning-based Optimal and Fast Hybrid Equalizer Design Method for High Bandwidth Memory (HBM) Module

   Seonguk Choi, Keeyoung Son, Hyunwook Park, Seongguk Kim, Boogyo Sim, Jihun Kim, Joonsang Park, Minsu Kim, Haeyeon Kim, Jinwook Song, Youngwoo Kim, and Joungho Kim

   IEEE Transactions on Components, Packaging and Manufacturing Technology, 2023

   DOI
4. NeurIPS

   Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences

   Minsu Kim, Federico Berto, Sungsoo Ahn, and Jinkyoo Park

   Advances in Neural Information Processing Systems, 2023

   PDF Code
5. ICML

   Meta-SAGE: A Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Large Scale Combinatorial Optimization

   Jiwoo Son^*, Minsu Kim^*, Hyeonah Kim, and Jinkyoo Park

   International Conference on Machine Learning, 2023

   Bib Code

   @article{kim20232,
     title = {Meta-SAGE: A Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Large Scale Combinatorial Optimization},
     author = {Son, Jiwoo and Kim, Minsu and Kim, Hyeonah and Park, Jinkyoo},
     journal = {International Conference on Machine Learning},
     year = {2023},
   }

6. ICML

   DevFormer: A Symmetric Transformer for Context-Aware Device Placement

   Haeyeon Kim^*, Minsu Kim^*, Federico Berto, Joungho Kim, and Jinkyoo Park

   International Conference on Machine Learning, 2023

   Bib Code

   @article{kim20231,
     title = {DevFormer: A Symmetric Transformer for Context-Aware Device Placement},
     author = {Kim, Haeyeon and Kim, Minsu and Berto, Federico and Kim, Joungho and Park, Jinkyoo},
     journal = {International Conference on Machine Learning},
     year = {2023},
   }

2022

1. NeurIPS

   Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

   Minsu Kim, Junyoung Park, and Jinkyoo Park

   Advances in Neural Information Processing Systems, 2022

   Awarded Bib PDF Code

   Qualcomm Innovation Fellowship Award 2023. NeurIPS scholar award 2022

   @article{kim2022sym,
     title = {Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization},
     author = {Kim, Minsu and Park, Junyoung and Park, Jinkyoo},
     journal = {Advances in Neural Information Processing Systems},
     volume = {35},
     year = {2022},
   }

2. NeurIPS WS

   Neural Coarsening Process for Multi-level Graph Combinatorial Optimization

   Hyeonah Kim, Minsu Kim, Changhyun Kwon, and Jinkyoo Park

   In NeurIPS Workshop on New Frontiers in Graph Learning, 2022
3. DesignCon

   Data-Efficient Machine Learning Method for Hardware Routing: Signal Integrity Demonstration to 2PDC and PCIe 6.0

   Minsu Kim, and  others

   In DesignCon, 2022
4. IEEE Transaction

   Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)

   Hyunwook Park, Minsu Kim, Seongguk Kim, Keunwoo Kim, Haeyeon Kim, Taein Shin, Keeyoung Son, Boogyo Sim, Subin Kim, Seungtaek Jeong, and  others

   IEEE Transactions on Microwave Theory and Techniques, 2022

   Bib

   @article{park2022transformer,
     title = {Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)},
     author = {Park, Hyunwook and Kim, Minsu and Kim, Seongguk and Kim, Keunwoo and Kim, Haeyeon and Shin, Taein and Son, Keeyoung and Sim, Boogyo and Kim, Subin and Jeong, Seungtaek and others},
     journal = {IEEE Transactions on Microwave Theory and Techniques},
     year = {2022}
   }

5. IEEE Transaction

   Thermal and Signal Integrity Co-Design and Verification of Embedded Cooling Structure with Thermal Transmission Line (ECS-TTL) for High Bandwidth Memory Module

   Keeyoung Son, Seongguk Kim, Hyunwook Park, Taein Shin, Keunwoo Kim, Minsu Kim, Boogyo Sim, Subin Kim, Gapyeol Park, Shinyoung Park, and  others

   IEEE Transactions on Components, Packaging and Manufacturing Technology, 2022

   Bib

   @article{son2022thermal,
     title = {Thermal and Signal Integrity Co-Design and Verification of Embedded Cooling Structure with Thermal Transmission Line (ECS-TTL) for High Bandwidth Memory Module},
     author = {Son, Keeyoung and Kim, Seongguk and Park, Hyunwook and Shin, Taein and Kim, Keunwoo and Kim, Minsu and Sim, Boogyo and Kim, Subin and Park, Gapyeol and Park, Shinyoung and others},
     journal = {IEEE Transactions on Components, Packaging and Manufacturing Technology},
     year = {2022},
     publisher = {IEEE}
   }

2021

1. DesignCon

   Neural Language Model Enables Extremely Fast and Robust Routing on Interposer

   Minsu Kim, Hyunwook Park, Seonguk Choi, Haeyeon Rachel Kim, Seongguk Kim, Keeyoung Son, Keunwoo Kim, Daehwan Lho, Kyunjune Son, Subin Kim, and Joungho Kim

   In DesignCon, 2021

   Awarded

   Best paper award

2. NeurIPS

   Learning collaborative policies to solve NP-hard routing problems

   Minsu Kim, Jinkyoo Park, and Joungho Kim

   Advances in Neural Information Processing Systems, 2021

   Bib PDF Code

   @article{kim2021learning,
     title = {Learning collaborative policies to solve NP-hard routing problems},
     author = {Kim, Minsu and Park, Jinkyoo and Kim, Joungho},
     journal = {Advances in Neural Information Processing Systems},
     volume = {34},
     pages = {10418--10430},
     year = {2021},
   }

3. IEEE Transaction

   Reinforcement-Learning-Based Signal Integrity Optimization and Analysis of a Scalable 3-D X-Point Array Structure

   Kyungjune Son, Minsu Kim, Hyunwook Park, Daehwan Lho, Keeyoung Son, Keunwoo Kim, Seongsoo Lee, Seungtaek Jeong, Shinyoung Park, Seokwoo Hong, and  others

   IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021

   Bib

   @article{son2021reinforcement,
     title = {Reinforcement-Learning-Based Signal Integrity Optimization and Analysis of a Scalable 3-D X-Point Array Structure},
     author = {Son, Kyungjune and Kim, Minsu and Park, Hyunwook and Lho, Daehwan and Son, Keeyoung and Kim, Keunwoo and Lee, Seongsoo and Jeong, Seungtaek and Park, Shinyoung and Hong, Seokwoo and others},
     journal = {IEEE Transactions on Components, Packaging and Manufacturing Technology},
     volume = {12},
     number = {1},
     pages = {100--110},
     year = {2021},
     publisher = {IEEE}
   }

4. IEEE Conference

   Sequential Policy Network-based Optimal Passive Equalizer Design for an Arbitrary Channel of High Bandwidth Memory using Advantage Actor Critic

   Seonguk Choi, Minsu Kim, Hyunwook Park, Keeyoung Son, Seongguk Kim, Jihun Kim, Joonsang Park, Haeyeon Kim, Taein Shin, Keunwoo Kim, and Joungho Kim

   In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2021

   DOI Bib

   @inproceedings{9609193,
     author = {Choi, Seonguk and Kim, Minsu and Park, Hyunwook and Son, Keeyoung and Kim, Seongguk and Kim, Jihun and Park, Joonsang and Kim, Haeyeon and Shin, Taein and Kim, Keunwoo and Kim, Joungho},
     booktitle = {2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
     title = {Sequential Policy Network-based Optimal Passive Equalizer Design for an Arbitrary Channel of High Bandwidth Memory using Advantage Actor Critic},
     year = {2021},
     pages = {1-3},
     doi = {10.1109/EPEPS51341.2021.9609193}
   }

5. IEEE Conference

   Signal Integrity Analysis of High Speed Channel considering Thermal Distribution

   Keeyoung Son, Seongguk Kim, Minsu Kim, Daehwan Lho, Keunwoo Kim, Hyunwook Park, Gapyeol Park, and Joungho Kim

   In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2021

   DOI Bib

   @inproceedings{9609215,
     author = {Son, Keeyoung and Kim, Seongguk and Kim, Minsu and Lho, Daehwan and Kim, Keunwoo and Park, Hyunwook and Park, Gapyeol and Kim, Joungho},
     booktitle = {2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
     title = {Signal Integrity Analysis of High Speed Channel considering Thermal Distribution},
     year = {2021},
     pages = {1-3},
     doi = {10.1109/EPEPS51341.2021.9609215}
   }

6. IEEE Conference

   Deep Reinforcement Learning Framework for Optimal Decoupling Capacitor Placement on General PDN with an Arbitrary Probing Port

   Haeyeon Kim, Hyunwook Park, Minsu Kim, Seonguk Choi, Jihun Kim, Joonsang Park, Seongguk Kim, Subin Kim, and Joungho Kim

   In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2021

   DOI Bib

   @inproceedings{9609194,
     author = {Kim, Haeyeon and Park, Hyunwook and Kim, Minsu and Choi, Seonguk and Kim, Jihun and Park, Joonsang and Kim, Seongguk and Kim, Subin and Kim, Joungho},
     booktitle = {2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
     title = {Deep Reinforcement Learning Framework for Optimal Decoupling Capacitor Placement on General PDN with an Arbitrary Probing Port},
     year = {2021},
     pages = {1-3},
     doi = {10.1109/EPEPS51341.2021.9609194}
   }

7. IEEE Conference

   Crosstalk-included PAM-4 Worst Eye Diagram Estimation Method for High-speed Serial Links

   Hyunwook Park, Jihun Kim, Minsu Kim, Keunwoo Kim, Boogyo Sim, Daehwan Lho, Taein Shin, Keeyoung Son, Jinwook Song, Youngmin Ku, Jonggyu Park, and Joungho Kim

   In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2021

   DOI Bib

   @inproceedings{9609114,
     author = {Park, Hyunwook and Kim, Jihun and Kim, Minsu and Kim, Keunwoo and Sim, Boogyo and Lho, Daehwan and Shin, Taein and Son, Keeyoung and Song, Jinwook and Ku, Youngmin and Park, Jonggyu and Kim, Joungho},
     booktitle = {2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
     title = {Crosstalk-included PAM-4 Worst Eye Diagram Estimation Method for High-speed Serial Links},
     year = {2021},
     pages = {1-3},
     doi = {10.1109/EPEPS51341.2021.9609114}
   }

8. IEEE Conference

   Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph Representation

   Joonsang Park, Minsu Kim, Seongguk Kim, Keeyoung Son, Taein Shin, Hyunwook Park, Jihun Kim, Seonguk Choi, Haeyeon Kim, Keunwoo Kim, and Joungho Kim

   In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2021

   DOI Bib

   @inproceedings{9609139,
     author = {Park, Joonsang and Kim, Minsu and Kim, Seongguk and Son, Keeyoung and Shin, Taein and Park, Hyunwook and Kim, Jihun and Choi, Seonguk and Kim, Haeyeon and Kim, Keunwoo and Kim, Joungho},
     booktitle = {2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
     title = {Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph Representation},
     year = {2021},
     pages = {1-3},
     doi = {10.1109/EPEPS51341.2021.9609139}
   }

9. IEEE Conference

   PAM-4 based PCIe 6.0 Channel Design Optimization Method using Bayesian Optimization

   Jihun Kim, Hyunwook Park, Minsu Kim, Seongguk Kim, Seonguk Choi, Keeyoung Son, Joonsang Park, Haeyeon Kim, Jinwook Song, Youngmin Ku, Jonggyu Park, and Joungho Kim

   In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2021

   DOI Bib

   @inproceedings{9609213,
     author = {Kim, Jihun and Park, Hyunwook and Kim, Minsu and Kim, Seongguk and Choi, Seonguk and Son, Keeyoung and Park, Joonsang and Kim, Haeyeon and Song, Jinwook and Ku, Youngmin and Park, Jonggyu and Kim, Joungho},
     booktitle = {2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
     title = {PAM-4 based PCIe 6.0 Channel Design Optimization Method using Bayesian Optimization},
     year = {2021},
     pages = {1-3},
     doi = {10.1109/EPEPS51341.2021.9609213}
   }

10. IEEE Conference

    Imitation Learning for Simultaneous Escape Routing

    Minsu Kim, Hyunwook Park, Keeyoung Son, Seongguk Kim, Haeyeon Kim, Jihun Kim, Jinwook Song, Youngmin Ku, Jounggyu Park, and Joungho Kim

    In 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2021

    DOI Bib

    @inproceedings{9609145,
      author = {Kim, Minsu and Park, Hyunwook and Son, Keeyoung and Kim, Seongguk and Kim, Haeyeon and Kim, Jihun and Song, Jinwook and Ku, Youngmin and Park, Jounggyu and Kim, Joungho},
      booktitle = {2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
      title = {Imitation Learning for Simultaneous Escape Routing},
      year = {2021},
      pages = {1-3},
      doi = {10.1109/EPEPS51341.2021.9609145}
    }

2020

1. IEEE Conference

   Policy Gradient Reinforcement Learning-based Optimal Decoupling Capacitor Design Method for 2.5-D/3-D ICs using Transformer Network

   Hyunwook Park, Minsu Kim, Subin Kim, Seungtaek Jeong, Seongguk Kim, Hyungmin Kang, Keunwoo Kim, Keeyoung Son, Gapyeol Park, Kyungjune Son, Taein Shin, and Joungho Kim

   In 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), 2020

   DOI Bib

   @inproceedings{9312908,
     author = {Park, Hyunwook and Kim, Minsu and Kim, Subin and Jeong, Seungtaek and Kim, Seongguk and Kang, Hyungmin and Kim, Keunwoo and Son, Keeyoung and Park, Gapyeol and Son, Kyungjune and Shin, Taein and Kim, Joungho},
     booktitle = {2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)},
     title = {Policy Gradient Reinforcement Learning-based Optimal Decoupling Capacitor Design Method for 2.5-D/3-D ICs using Transformer Network},
     year = {2020},
     pages = {1-3},
     doi = {10.1109/EDAPS50281.2020.9312908}
   }

2. IEEE Conference

   Design and Analysis of Thermal Transmission Line based Embedded Cooling Structures for High Bandwidth Memory Module and 2.5D/3D ICs

   Keeyoung Son, Subin Kim, Shinyoung Park, Hyunwook Park, Keunwoo Kim, Taein Shin, Minsu Kim, Kyungjune Son, Gapyeol Park, Seungtaek Jeong, and Joungho Kim

   In 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), 2020

   DOI Bib

   @inproceedings{9312897,
     author = {Son, Keeyoung and Kim, Subin and Park, Shinyoung and Park, Hyunwook and Kim, Keunwoo and Shin, Taein and Kim, Minsu and Son, Kyungjune and Park, Gapyeol and Jeong, Seungtaek and Kim, Joungho},
     booktitle = {2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)},
     title = {Design and Analysis of Thermal Transmission Line based Embedded Cooling Structures for High Bandwidth Memory Module and 2.5D/3D ICs},
     year = {2020},
     pages = {1-3},
     doi = {10.1109/EDAPS50281.2020.9312897}
   }

3. IEEE Conference

   Reinforcement Learning-based Auto-router considering Signal Integrity

   Minsu Kim, Hyunwook Park, Seongguk Kim, Keeyoung Son, Subin Kim, Kyunjune Son, Seonguk Choi, Gapyeol Park, and Joungho Kim

   In 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2020

   DOI Bib

   @inproceedings{9231473,
     author = {Kim, Minsu and Park, Hyunwook and Kim, Seongguk and Son, Keeyoung and Kim, Subin and Son, Kyunjune and Choi, Seonguk and Park, Gapyeol and Kim, Joungho},
     booktitle = {2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
     title = {Reinforcement Learning-based Auto-router considering Signal Integrity},
     year = {2020},
     pages = {1-3},
     doi = {10.1109/EPEPS48591.2020.9231473}
   }

4. IEEE Conference

   Deep Neural Network-based Lumped Circuit Modeling using Impedance Curve

   Daehwan Lho, Hyunwook Park, Seongguk Kim, Taein Shin, Keunwoo Kim, Kyungjune Son, Hyungmin Kang, Boogyo Sim, Keeyoung Son, Minsu Kim, and Joungho Kim

   In 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS), 2020

   DOI Bib

   @inproceedings{9312895,
     author = {Lho, Daehwan and Park, Hyunwook and Kim, Seongguk and Shin, Taein and Kim, Keunwoo and Son, Kyungjune and Kang, Hyungmin and Sim, Boogyo and Son, Keeyoung and Kim, Minsu and Kim, Joungho},
     booktitle = {2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)},
     title = {Deep Neural Network-based Lumped Circuit Modeling using Impedance Curve},
     year = {2020},
     pages = {1-3},
     doi = {10.1109/EDAPS50281.2020.9312895}
   }