activity
20222024
most citedLightViT: Towards Light-Weight Convolution-Free Vision Transformers

42 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO20242 cited

Multi-robot Task Allocation and Path Planning with Maximum Range Constraints

Gang Xu, Yuchen Wu, Sheng Tao +5

This letter presents a novel multi-robot task allocation and path planning method that considers robots' maximum range constraints in large-sized workspaces, enabling robots to com…

cs.NI20241 cited

Responsible Federated Learning in Smart Transportation: Outlooks and Challenges

Xiaowen Huang, Tao Huang, Shushi Gu +2

Integrating artificial intelligence (AI) and federated learning (FL) in smart transportation has raised critical issues regarding their responsible use. Ensuring responsible AI is…

cs.CV2024

Diverse and Tailored Image Generation for Zero-shot Multi-label Classification

Kaixin Zhang, Zhixiang Yuan, Tao Huang

Recently, zero-shot multi-label classification has garnered considerable attention for its capacity to operate predictions on unseen labels without human annotations. Nevertheless,…

cs.AI20236 cited

TACO: Topics in Algorithmic COde generation dataset

Rongao Li, Jie Fu, Bo-Wen Zhang +6

We introduce TACO, an open-source, large-scale code generation dataset, with a focus on the optics of algorithms, designed to provide a more challenging training dataset and evalua…

cs.RO20231 cited

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Tao Huang, Kai Chen, Bin Li +2

Task automation of surgical robot has the potentials to improve surgical efficiency. Recent reinforcement learning (RL) based approaches provide scalable solutions to surgical auto…

cs.CV202242 cited

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Tao Huang, Lang Huang, Shan You +3

Vision transformers (ViTs) are usually considered to be less light-weight than convolutional neural networks (CNNs) due to the lack of inductive bias. Recent works thus resort to c…