Hee bin Yoo

5 papers · 2024–2026 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AAAI (3) CVPR (1) ECCV (1)

Top co-authors

Byoung-tak Zhang (5) Dong-Sig Han (3) Jaein Kim (3) Jinhee Park (1) Kibeom Kim (1) Yeon-Ji Song (1) Won-Seok Choi (1) Yoonsung Kim (1) Min Whoo Lee (1) MinJun Kim (1)

Research topics

Machine Learning (3) Computer Vision (1) Deep Learning (1) Reinforcement Learning (1) Analysis (1) Application Areas (1) Architectures (1) Core Methods (1) Learning Types (1) Methods (1) Optimization & Theory (1) Processing (1)

Keywords

reinforcement learning (1) sample efficiency (1) metric learning (1) policy optimization (1) embedding learning (1) feature embedding (1) point cloud analysis (1) machine unlearning (1) neural collapse (1) decision boundary (1) sparse reward (1) se(3) equivariance (1) classifier head (1) equivariant convolution (1) group convolution (1) selective unlearning (1) neural network (1) coordinate-based network (1) reward transition (1) potential-based reward (1)

Papers

Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis CVPR 2026 Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning AAAI 2026 PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples AAAI 2026 Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis ECCV 2024 Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024