Scholar
Yunke Wang
Google Scholar ID: m4wbcOsAAAAJ
University of Sydney
generative model
robotics
imitation learning
reinforcement learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
195
H-index
8
i10-index
6
Publications
19
Co-authors
4
list available
Contact
Email
yunke.wang@sydney.edu.au
CV
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
12 items
HiCI: Hierarchical Construction-Integration for Long-Context Attention
2026
Cited
0
SmoothTurn: Learning to Turn Smoothly for Agile Navigation with Quadrupedal Robots
2026
Cited
0
Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation
2025
Cited
0
MambaScope: Coarse-to-Fine Scoping for Efficient Vision Mamba
2025
Cited
0
Nash Policy Gradient: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria
2025
Cited
0
Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation
2025
Cited
0
Rethinking Visual Token Reduction in LVLMs under Cross-modal Misalignment
2025
Cited
0
Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation
2025
Cited
0
Load more
Resume (English only)
Academic Achievements
- Paper “Rethinking Visual Token Reduction in LVLMs under Cross-modal Misalignment” accepted by AAAI 2026
- Paper “VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching” accepted by NeurIPS 2025
- Paper “Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration” accepted by TMM 2025
- Paper “FusionSAM: Visual Multi-Modal Learning with Segment Anything Model” accepted by KDD 2025
- Paper “Position: AI Scaling: From Up to Down and Out” accepted by ICML 2025
- Paper “On Positive-Unlabeled Classification from Corrupted Data in GANs” accepted by TPAMI 2025
- Project ‘Robust Gait Control and Automatic Navigation for Quadruped Robot’ won the first prize in China Graduate AI Innovation Competition (8/1174)
Research Experience
- Researcher, School of Computer Science, University of Sydney, Current Position
Education
- Postdoctoral Researcher, School of Computer Science, University of Sydney, Advisor: Prof. Chang Xu
- Ph.D. degree, School of Computer Science, Wuhan University, Graduated in June 2024, Advisors: Prof. Bo Du, Prof. Chang Xu
- Bachelor’s degree in computer science, Wuhan University, Graduated in June 2019
- Visiting research student, University of Sydney, 2022 to 2023
Background
- Deep Reinforcement Learning
- Reinforcement learning/imitation learning algorithms and their applications in robotics
- Closely following the latest developments in generative models and LLMs
Miscellany
- Personal Interests: Robotics, Generative Models, Vision-Language-Action Manipulation
Co-authors
4 total
Chang Xu
University of Sydney
bo du
School of Computer Science, Wuhan University
Anh-Dung Dinh
University of Sydney
Rui Xu
Wuhan University
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up