Ge Yang
32 papers · 2017–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (12) π Cross-Pollinator (13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(49)
π
Interdisciplinary Bridge
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(111)
π₯
Unstoppable
(6)
π
Century Club
(32)
β‘
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)
Top co-authors
Keywords
semantic segmentation
(3)
reinforcement learning
(2)
diffusion model
(2)
few-shot learning
(2)
adversarial training
(2)
model-based reinforcement learning
(2)
neural network
(2)
image segmentation
(1)
adversarial robustness
(1)
model-based planning
(1)
mean field theory
(1)
model robustness
(1)
imitation learning
(1)
sim-to-real transfer
(1)
semi-supervised learning
(1)
causal discovery
(1)
domain adaptation
(1)
adversarial learning
(1)
locomotion control
(1)
robotic manipulation
(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