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Ge Yang

32 papers · 2017–2025 · 12 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (13)
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (49) πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (111) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (32) ⚑ Prolific Year (8)

Conferences

NIPS (6) CORL (5) RSS (4) ICLR (3) ICML (3) ECCV (2) ICCV (2) MICCAI (2) WACV (2) AAAI (1) CVPR (1) L4DC (1)

Papers

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers ICLR 2025 Humanoid Policy Β  Human Policy CORL 2025 Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation CORL 2025 Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging MICCAI 2025 Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration MICCAI 2025 Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures ECCV 2024 Learning Visual Parkour from Generated Images CORL 2024 Open-TeleVision: Teleoperation with Immersive Active Visual Feedback CORL 2024 Expressive Whole-Body Control for Humanoid Robots RSS 2024 Language-Driven Physics-Based Scene Synthesis and Editing via Feature Splatting ECCV 2024 Robust Source-Free Domain Adaptation for Fundus Image Segmentation WACV 2024 Compressing Large Language Models by Joint Sparsification and Quantization ICML 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NIPS 2024 XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images ICCV 2023 Compositional Sculpting of Iterative Generative Processes NIPS 2023 Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation CORL 2023 Neural Volumetric Memory for Visual Locomotion Control CVPR 2023 Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023 To the Noise and Back: Diffusion for Shared Autonomy RSS 2023 SCTS: Instance Segmentation of Single Cells Using a Transformer-Based Semantic-Aware Model and Space-Filling Augmentation WACV 2023 Overcoming The Spectral Bias of Neural Value Approximation ICLR 2022 Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation AAAI 2022 Rapid Locomotion via Reinforcement Learning RSS 2022 Invariance Through Latent Alignment RSS 2022 Bi-linear Value Networks for Multi-goal Reinforcement Learning ICLR 2022 World Model as a Graph: Learning Latent Landmarks for Planning ICML 2021 Learning Task Informed Abstractions ICML 2021 Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer NIPS 2021 Plan2Vec: Unsupervised Representation Learning by Latent Plans L4DC 2020 Learning Plannable Representations with Causal InfoGAN NIPS 2018 The Importance of Sampling inMeta-Reinforcement Learning NIPS 2018 Mean Field Residual Networks: On the Edge of Chaos NIPS 2017