Donglin Wang
Scholar

Donglin Wang

Google Scholar ID: -fo6wdwAAAAJ
Westlake University
Deep Reinforcement LearningMeta LearningRobot Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
2,951
 
H-index
27
 
i10-index
73
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
12 items
CUBic: Coordinated Unified Bimanual Perception and Control Framework
2026
Cited
0
CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models
2026
Cited
0
RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark
2026
Cited
0
QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL
2026
Cited
0
World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems
2026
Cited
0
MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation
2026
Cited
0
VAMPO: Policy Optimization for Improving Visual Dynamics in Video Action Models
2026
Cited
0
NFPO: Stabilized Policy Optimization of Normalizing Flow for Robotic Policy Learning
2026
Cited
0
Resume (English only)
Background
  • Associate Professor in AI Division, School of Engineering, Westlake University
  • Principal Investigator of National Science and Technology Innovation 2030 Major Project
  • Founder and Director of Machine Intelligence Lab (MiLAB)
  • Mission: endow real robots with high flexibility, fast adaptation, and autonomous learning through machine learning algorithms
  • Research focuses on: Deep Reinforcement Learning Theory, Deep Meta-Learning Theory, Robot Behavior Intelligence
Co-authors
0 total
Co-authors: 0 (list not available)