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Wenbo Ding — most-cited papers & profile · Large Language Models
← authors
·
overview
Wenbo Ding
46
papers ·
30
citations ·
36
h-index
Chinese University of Hong Kong, Shenzhen
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Semantic Scholar ↗
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Most-cited papers
SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling
2025 · 16 citations
Deep Leakage From Model In Federated Learning
2022 · 6 citations
Visual-tactile Fusion for Transparent Object Grasping in Complex Backgrounds
2022 · 3 citations
Dual-modal Tactile E-skin: Enabling Bidirectional Human-Robot Interaction via Integrated Tactile Perception and Feedback
2024 · 2 citations
SandWorm: Event-based Visuotactile Perception with Active Vibration for Screw-Actuated Robot in Granular Media
2026 · 1 citations
MoDex: Planning High-Dimensional Dexterous Control via Learning Neural Internal Models
2024 · 1 citations
MuxHand: A Cable-driven Dexterous Robotic Hand Using Time-division Multiplexing Motors
2024 · 1 citations
RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
2026
Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents
2026
Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels
2026
OneVLA: A Unified Framework for Embodied Tasks
2026
Thinking in Text and Images: Interleaved Vision--Language Reasoning Traces for Long-Horizon Robot Manipulation
2026
OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation
2026
Time-Division Multiplexing Actuation in Tendon-Driven Arms: Lightweight Design and Fault Tolerance
2026
Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation
2026
Top co-authors
Baijun Chen
· 1
Chenze Yu
· 1
Chuqiao Lyu
· 1
Eric J Chen
· 1
Guangyu Chen
· 1
Haowen Yan
· 1
Hekun Tian
· 1
Hengfei Zhao
· 1
Honghao Su
· 1
Jiaqi Liang
· 1
Junhao Gong
· 1
Junyuan Tang
· 1
Topics
Manipulation
Control
Perception
Human-Robot Interaction
Navigation
Multi-Robot
Sim-to-Real
Model-Based RL
Multi-Agent
Policy Gradient