* indicates alphabetical order or the equal contribution.
I can also be found from Google Scholar.
Selected Papers
- Chanwoo Park*, Kaiqing Zhang*, Asuman Ozdaglar, “network game + Markov Game”, submitted
- Jaeyeon Kim*, Asuman Ozdaglar*, Chanwoo Park*, Ernest K. Ryu*, “Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value”, submitted, pdf
- Chanwoo Park, Ernest K. Ryu, “Optimal First-Order Algorithms as a Function of Inequalities”, Accepted for the publication conditioned on minor revision, JMLR, 2022 pdf
- Chanwoo Park*, Sangdoo Yun*, Sanghyuk Chun, “A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective”, NeurIPS 2022 pdf
- Chanwoo Park, Boram Kim, Taesung Park, “DeepHisCoM: Deep Learning based Pathway Analysis”, Briefings in Bioinformatics, 2022
- Jongmin Lee, Chanwoo Park, Ernest K. Ryu, “A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast”, NeurIPS 2021 pdf
Full paper lists
Recent Papers
- Chanwoo Park, Kaiqing Zhang, Asuman Ozdaglar, “local interaction + Markov Game”, submitted
- Chanwoo Park*, Kaiqing Zhang*, Asuman Ozdaglar, “network game + Markov Game”, submitted
- Jaeyeon Kim*, Asuman Ozdaglar*, Chanwoo Park*, Ernest K. Ryu*, “Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value”, submitted, pdf
- Gunmin Lee, Jaeseok Heo, Dohyeong Kim, Jeongwoo Oh, Minyoung Hwang, Chanwoo Park, Kyungjae Lee, Songhwai Oh, “SafeIL: Safety-Constrained Imitation Learning for Autonomous Systems”, submitted
- Chanwoo Park, Ernest K. Ryu, “Optimal First-Order Algorithms as a Function of Inequalities”, Accepted for the publication conditioned on minor revision, JMLR, 2022 pdf
Published Paper
- Chanwoo Park*, Sangdoo Yun*, Sanghyuk Chun, “A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective”, NeurIPS 2022 pdf
- Chanwoo Park, Jisun Park, Ernest K. Ryu, “Factor-$\sqrt{2}$ Acceleration of Accelerated Gradient Methods”, Applied Mathematics and Optimization, 2022 pdf
- Chanwoo Park, Boram Kim, Taesung Park, “DeepHisCoM: Deep Learning based Pathway Analysis”, Briefings in Bioinformatics, 2022
- Jongmin Lee, Chanwoo Park, Ernest K. Ryu, “A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast”, NeurIPS 2021 pdf
- Chanwoo Park, Nan Jiang, Taesung Park, “Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes”, Genomics & Informatics, Vol. 17, No. 4, Dec. 2019.