Skip to content
conftrace_

Seungjae Lee

10 papers · 2022–2026 · 6 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 ↓
+4 more ↓ 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (24) πŸ† Grand Slam πŸ‘‘ Triple Crown
πŸ—ƒοΈ Keyword Collector (58) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (3) CVPR (2) ICML (2) AAAI (1) CoRL (1) ICLR (1)

Top co-authors

H. Jin Kim (6) Daesol Cho (3) Jia-Bin Huang (2) Furong Huang (2) Yibin Wang (1) Lerrel Pinto (1) Zikui Cai (1) Jigang Kim (1) Nur Muhammad Mahi Shafiullah (1) Nakkwan Choi (1)

Research topics

Deep Learning (6) Reinforcement Learning (5) Artificial Intelligence (4) Applications (4) Core AI (4) Learning Types (4) Computer Vision (3) Methods (3) Machine Learning (2) Application Areas (2) Architectures (2) Models (2) Robotics (1) Analysis (1) Capabilities (1)

Keywords

curriculum reinforcement learning (2) reinforcement learning (2) sample efficiency (1) robotic manipulation (1) image restoration (1) curriculum learning (1) bipartite matching (1) model pruning (1) conditional generation (1) 3d scene understanding (1) semantic representation (1) implicit representation (1) hierarchical reinforcement learning (1) vector quantization (1) model-based reinforcement learning (1) data augmentation (1) temporal abstraction (1) robot manipulation (1) variational autoencoder (1) vision transformer (1)

Papers

Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract) AAAI 2026 TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos CVPR 2026 Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models CoRL 2025 Behavior Generation with Latent Actions ICML 2024 CQM: Curriculum Reinforcement Learning with a Quantized World Model NeurIPS 2023 Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement NeurIPS 2023 Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation ICLR 2023 Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator CVPR 2023 SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning ICML 2023 DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NeurIPS 2022