Seunghun Lee

According to our database, Seunghun Lee authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Latent Bayesian Optimization via Autoregressive Normalizing Flows.

Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo J. Kim

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Inversion-based Latent Bayesian Optimization.

Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Advancing Bayesian Optimization via Learning Correlated Latent Space.

Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA.

Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Graph Transformer Networks: Learning meta-path graphs to improve GNNs.

Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim

Neural Networks, 2022

2021

Learning Augmentation for GNNs With Consistency Regularization.

Hyeon-Jin Park, Seunghun Lee, Dasol Hwang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim

IEEE Access, 2021

Metropolis-Hastings Data Augmentation for Graph Neural Networks.

Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021