12 citations · 24 across the 8 of their papers we have counts for
8 papers
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Tianying Ji, Yu Luo, Fuchun Sun +3
Learning high-quality -value functions plays a key role in the success of many modern off-policy deep reinforcement learning (RL) algorithms. Previous works primarily focus on a…
PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
Yuyang Tu, Junnan Jiang, Shuang Li +3
Accurate estimation of the relative pose between an object and a robot hand is critical for many manipulation tasks. However, most of the existing object-in-hand pose datasets use…
Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning
Lei Zhang, Kaixin Bai, Zhaopeng Chen +2
Precise robotic grasping of several novel objects is a huge challenge in manufacturing, automation, and logistics. Most of the current methods for model-free grasping are disadvant…
Towards Accurate Acne Detection via Decoupled Sequential Detection Head
Xin Wei, Lei Zhang, Jianwei Zhang +4
Accurate acne detection plays a crucial role in acquiring precise diagnosis and conducting proper therapy. However, the ambiguous boundaries and arbitrary dimensions of acne lesion…
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Jianwei Zhang, Dong Li, Lituan Wang +1
Automated data augmentation, which aims at engineering augmentation policy automatically, recently draw a growing research interest. Many previous auto-augmentation methods utilize…
Learning High-quality Proposals for Acne Detection
Jianwei Zhang, Lei Zhang, Junyou Wang +4
Acne detection is crucial for interpretative diagnosis and precise treatment of skin disease. The arbitrary boundary and small size of acne lesions lead to a significant number of…
Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling
Zhongliang Jiang, Long Lei, Yu Sun +5
Drilling is one of the hardest parts of pedicle screw fixation, and it is one of the most dangerous operations because inaccurate screw placement would injury vital tissues, partic…
Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling
Yunpei Zheng, Lin Li, Luo Zhong +2
User profiling means exploiting the technology of machine learning to predict attributes of users, such as demographic attributes, hobby attributes, preference attributes, etc. It'…