Justin Cui

1. ★
   CVPR 2026

   LoL: Longer than Longer, Scaling Video Generation to Hour

   Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh

   IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

   Paper/Code

2. ★
   ICLR 2026

   Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

   Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh

   International Conference on Learning Representations (ICLR), 2026

   Paper/Project/Code

3. 
   ICLR 2026

   ViPO: Visual Preference Optimization at Scale

   Ming Li, Jie Wu, Justin Cui, Xiaojie Li, Rui Wang, Chen Chen

   International Conference on Learning Representations (ICLR), 2026

   Paper/Project

4. 
   arXiv 2026

   One-Forcing: Towards Stable One-Step Autoregressive Video Generation

   Jiaqi Feng, Justin Cui, Yuanhao Ban, Cho-Jui Hsieh

   arXiv preprint, 2026

   Paper/Project/Code

5. 
   arXiv 2025

   Concepts or Skills? Rethinking Instruction Selection for Multi-modal Models

   Andrew Bai, Justin Cui, Ruochen Wang, Cho-Jui Hsieh

   arXiv preprint, 2025

   Paper

6. 
   ICLR 2026 Workshop

   Reward-Forcing: Autoregressive Video Generation with Reward Feedback

   Jingran Zhang, Ning Li, Yuanhao Ban, Andrew Bai, Justin Cui

   ICLR Workshop on World Models, 2026

   Paper

7. 
   AAAI 2025 Workshop

   Smart-GRPO: Smartly Sampling Noise for Efficient RL of Flow-Matching Models

   Benjamin Yu, Jackie Liu, Justin Cui

   AAAI AIR-FM Workshop, 2025

   Paper

8. 
   CVPR 2025 Workshop Oral

   Latent Video Dataset Distillation

   Ning Li, Antai Andy Liu, Jingran Zhang, Justin Cui, Cho-Jui Hsieh

   CVPR SyntaGen Workshop (Oral), 2025

   Paper/Code

9. ★
   ICML 2025

   OR-Bench: An Over-Refusal Benchmark for Large Language Models

   Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh

   International Conference on Machine Learning (ICML), 2025

   Paper/Code

10. ★
    ICML 2024

    Mitigating Bias in Dataset Distillation

    Justin Cui, Ruochen Wang, Yuanhao Xiong, Cho-Jui Hsieh

    International Conference on Machine Learning (ICML), 2024

    Paper

11. ★
    ICML 2023

    Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory

    Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh

    International Conference on Machine Learning (ICML), 2023

    Paper/Code

12. ★
    NeurIPS 2022

    DC-Bench: Dataset Condensation Benchmark

    Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh

    Advances in Neural Information Processing Systems (NeurIPS), 2022

    Paper/Code

World Labs·ByteDance Seed·Google Research