Justin CUI

5 papers · 2022–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🔥 Unstoppable · Bronze

Venues

ICML (3) CVPR (1) NeurIPS (1)

Top co-authors

Cho-jui Hsieh (5) Ruochen Wang (3) Si Si (2) Wei-Lin Chiang (1) Ming Li (1) Ion Stoica (1) Rui Wang (1) Yuanhao Ban (1) Xiaojie Li (1) Yuanhao Xiong (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Application Areas (3) Core AI (3) Computer Vision (1) Deep Learning (1) Natural Language Processing (1) Generation · Computer Vision (1) Generation · Natural Language Processing (1) Learning Types (1) Models (1) Optimization & Theory (1)

Keywords

dataset condensation (2) benchmark evaluation (1) video generation (1) data augmentation (1) kernel density estimation (1) autoregressive model (1) synthetic data (1) dataset distillation (1) hard prompt (1) bias amplification (1) long-form video (1) rotary position embedding (1) sample reweighting (1) trajectory matching (1) attention sink (1) network training (1) large language model (1) background bia (1) constant memory (1) soft label assignment (1)

Papers

LoL: Longer than Longer, Scaling Video Generation to Hour CVPR 2026 OR-Bench: An Over-Refusal Benchmark for Large Language Models ICML 2025 Ameliorate Spurious Correlations in Dataset Condensation ICML 2024 Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory ICML 2023 DC-BENCH: Dataset Condensation Benchmark NeurIPS 2022