Bio

I am a deep learning researcher at KRAFTON.

I received my B.S. degree, M.S. degree, and Ph.D. degree in electrical engineering from KAIST in 2014, 2016, and 2022 respectively, under the supervision of Prof. Changho Suh. 

Research Interests

Information theory, Machine learning 

News

(Jan. 2021) TOP 10 KAIST Research Achievements of 2020 (KAIST Annual R&D Report):

• Fair machine learning (paper, article)

(Aug. 2020) Won the naver paper award 

(2019) Won the outstanding teaching assistant award 

• • EE623: Information Theory (Fall 2019)

Publications

(2024)

• A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
  Taehong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee
  ICML 2024

• Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
  Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
  ICML 2024 

• CLAM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech
  Jaehyeon Kim, Keon Lee, Seungjun Chung, Jaewoong Cho
  ICLR 2024

• Image Clustering Conditioned on Text Criteria
  Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee
  ICLR 2024

(2023)

• Mini-Batch Optimization of Contrastive Loss
  Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
  ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation Models, Arxiv (preprint)

• Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding
  Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, and Kangwook Lee
  TMLR

• Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
  TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu
  NeurIPS 2023

(2022)

• Equal Experience in Recommender Systems
  Jaewoong Cho, Moonseok Choi, Changho Suh
  Arxiv (preprint)

(2020)

• • A fair classifier using kernel density estimation
    Jaewoong Cho, Gyeongjo Hwang, Changho Suh
    NeurIPS 2020

  • A fair classifier using mutual information
    Jaewoong Cho, Gyeongjo Hwang, Changho Suh
    Proceedings of the IEEE International Symposium on Information Theory

(2019)

• • Wasserstein GAN can Perform PCA
    Jaewoong Cho, Changho Suh
    Proceedings of Allerton Conference on Communication, Control, and Computing

(2018)

• • Two-way interference channel capacity: How to have the cake and eat it too
    Changho Suh, Jaewoong Cho, David Tse
    IEEE Transactions on Information Theory, vol. 64, no. 6

(2017)

• • Two-way interference channel capacity: How to have the cake and eat it too
    Changho Suh, Jaewoong Cho, David Tse
    Proceedings of the IEEE International Symposium on Information Theory

(2016)

• • To feedback or not to feedback
    Changho Suh, David Tse, Jaewoong Cho
    Proceedings of the IEEE International Symposium on Information Theory

Projects

(2023)

• 3D avatar generation from a single image (video link)

(2022)

• • Synthesizing AI singing voice of virtual influencer ANA (official music video link)