PPaperPicks

Sangmin Woo

12 papers at tracked venues · 5 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Changick Kim
×8
Kang Zhou
×4
Haibo Ding
×4
Lin Lee Cheong
×4
Jin-Young Kim
×4
Hyojun Go
×4
Byeongjun Park
×4
Kiran Ramnath
×3
Zhichao Xu
×3
Shuai Wang
×3
Yun Zhou
×3
Seokil Ham
×3

Papers

  1. Diffusion Language Model Inference with Monte Carlo Tree Search
    EACL 2026 ·
    Zheng Huang
    ,
    Kiran Ramnath
    ,
    Yueyan Chen
    ,
    Aosong Feng
    , Sangmin Woo,
    Balasubramaniam Srinivasan
    ,
    Zhichao Xu
    ,
    Kang Zhou
    ,
    Shuai Wang
    ,
    Haibo Ding
    ,
    Lin Lee Cheong
  2. Learning to Ideate for Machine Learning Engineering Agents
    EACL 2026 ·
    Yunxiang Zhang
    ,
    Kang Zhou
    ,
    Zhichao Xu
    ,
    Kiran Ramnath
    ,
    Yun Zhou
    , Sangmin Woo,
    Haibo Ding
    ,
    Lin Lee Cheong
  3. A Systematic Survey of Automatic Prompt Optimization Techniques
    EMNLP 2025 ·
    Kiran Ramnath
    ,
    Kang Zhou
    ,
    Sheng Guan
    ,
    Soumya Smruti Mishra
    ,
    Xuan Qi
    ,
    Zhengyuan Shen
    ,
    Shuai Wang
    , Sangmin Woo,
    Sullam Jeoung
    ,
    Yawei Wang
    ,
    Haozhu Wang
    ,
    Han Ding
    ,
    Yuzhe Lu
    ,
    Zhichao Xu
    ,
    Yun Zhou
    ,
    Balasubramaniam Srinivasan
    ,
    Qiaojing Yan
    ,
    Yueyan Chen
    ,
    Haibo Ding
    ,
    Panpan Xu
    ,
    Lin Lee Cheong
  4. Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
    NAACL 2025 · Sangmin Woo,
    Kang Zhou
    ,
    Yun Zhou
    ,
    Shuai Wang
    ,
    Sheng Guan
    ,
    Haibo Ding
    ,
    Lin Lee Cheong
  5. Diffusion Model Patching via Mixture-of-Prompts
    AAAI 2025 ·
    Seokil Ham
    , Sangmin Woo,
    Jin-Young Kim
    ,
    Hyojun Go
    ,
    Byeongjun Park
    ,
    Changick Kim
  6. Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
    ACL 2025 · Sangmin Woo,
    Donguk Kim
    ,
    Jaehyuk Jang
    ,
    Yubin Choi
    ,
    Changick Kim
  7. Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
    CVPR 2025 ·
    Seokil Ham
    ,
    Hee-Seon Kim
    , Sangmin Woo,
    Changick Kim
  8. Denoising Task Routing for Diffusion Models
    ICLR 2024 ·
    Byeongjun Park
    , Sangmin Woo,
    Hyojun Go
    ,
    Jin-Young Kim
    ,
    Changick Kim
  9. Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
    ECCV 2024 ·
    Muhammad Adi Nugroho
    , Sangmin Woo,
    Sumin Lee
    ,
    Jinyoung Park
    ,
    Yooseung Wang
    ,
    Donguk Kim
    ,
    Changick Kim
  10. HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
    CVPR 2024 · Sangmin Woo,
    Byeongjun Park
    ,
    Hyojun Go
    ,
    Jin-Young Kim
    ,
    Changick Kim
  11. Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition
    ECCV 2024 ·
    Sumin Lee
    ,
    Yooseung Wang
    , Sangmin Woo,
    Changick Kim
  12. Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts
    ECCV 2024 ·
    Byeongjun Park
    ,
    Hyojun Go
    ,
    Jin-Young Kim
    , Sangmin Woo,
    Seokil Ham
    ,
    Changick Kim