Wenbo Ding (丁文伯)

About Wenbo Ding (丁文伯)

Wenbo Ding (丁文伯), With an exceptional h-index of 41 and a recent h-index of 39 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of human-machine interface, signal processing for robotics, embodied AI, reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stretchable Liquid Metal E-skin for Soft Robot Proprioceptive Vibration Sensing

FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering

M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space

Optimizing Trading Strategies in Quantitative Markets Using Multi-Agent Reinforcement Learning

Federated PAC-Bayesian Learning on Non-IID Data

Deep-learning assisted biomimetic self-powered wireless electronic noses system enabled by triboelectric discharge

Point-Wise Vibration Pattern Production via a Sparse Actuator Array for Surface Tactile Feedback

Every parameter matters: Ensuring the convergence of federated learning with dynamic heterogeneous models reduction

Wenbo Ding (丁文伯) Information

University

Position

Assistant Professor TBSI

Citations(all)

7251

Citations(since 2020)

6528

Cited By

2957

hIndex(all)

41

hIndex(since 2020)

39

i10Index(all)

73

i10Index(since 2020)

68

Email

University Profile Page

Google Scholar

Wenbo Ding (丁文伯) Skills & Research Interests

human-machine interface

signal processing for robotics

embodied AI

reinforcement learning

Top articles of Wenbo Ding (丁文伯)

Stretchable Liquid Metal E-skin for Soft Robot Proprioceptive Vibration Sensing

IEEE Sensors Journal

2024/4/29

FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering

arXiv preprint arXiv:2404.15384

2024/4/23

M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space

2024/4/14

Optimizing Trading Strategies in Quantitative Markets Using Multi-Agent Reinforcement Learning

2024/4/14

Federated PAC-Bayesian Learning on Non-IID Data

2024/4/14

Deep-learning assisted biomimetic self-powered wireless electronic noses system enabled by triboelectric discharge

Nano Energy

2024/3/1

Point-Wise Vibration Pattern Production via a Sparse Actuator Array for Surface Tactile Feedback

arXiv preprint arXiv:2402.11496

2024/2/18

Every parameter matters: Ensuring the convergence of federated learning with dynamic heterogeneous models reduction

Advances in Neural Information Processing Systems

2024/2/13

DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation

arXiv preprint arXiv:2402.07648

2024/2/12

The Intrinsic Impact of Dielectric Constant on Output Generation of Triboelectric Nanogenerators

Nano Energy

2024/2/10

Dual-modal Tactile E-skin: Enabling Bidirectional Human-Robot Interaction via Integrated Tactile Perception and Feedback

arXiv preprint arXiv:2402.05725

2024/2/8

SATac: A Thermoluminescence Enabled Tactile Sensor for Concurrent Perception of Temperature, Pressure, and Shear

arXiv preprint arXiv:2402.00585

2024/2/1

A 3.55-μm ultrathin, skin-like mechanoresponsive, compliant, and seamless ionic conductive electrode for epidermal electrophysiological signal acquisition and human-machine …

2024/1/25

Growing from Exploration: A self-exploring framework for robots based on foundation models

arXiv preprint arXiv:2401.13462

2024/1/24

Theoretical modeling of contact-separation mode triboelectric nanogenerators from initial charge distribution

Energy & Environmental Science

2024

Triboelectric nanogenerators for wearable sensing applications: A system level analysis

2023/8/19

IC-compatible High-efficiency Power Management for Triboelectric Nanogenerators Based on the Concept of Limit

IEEE Transactions on Power Electronics

2023/10/17

Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2303.11959

2023/3/15

STEV: Stretchable Triboelectric E-skin enabled Proprioceptive Vibration Sensing for Soft Robot

2023/5/29

Perfedrec++: Enhancing personalized federated recommendation with self-supervised pre-training

arXiv preprint arXiv:2305.06622

2023/5/11

See List of Professors in Wenbo Ding (丁文伯) University(Tsinghua University)

Co-Authors

academic-engine