5 citations · 19 across the 8 of their papers we have counts for
8 papers
Learning to Group Auxiliary Datasets for Molecule
Tinglin Huang, Ziniu Hu, Rex Ying
The limited availability of annotations in small molecule datasets presents a challenge to machine learning models. To address this, one common strategy is to collaborate with addi…
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence
Xuemin Hu, Shen Li, Tingyu Huang +3
Safety and cost are two important concerns for the development of autonomous driving technologies. From the academic research to commercial applications of autonomous driving vehic…
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding +2
Figuring out which Pre-Trained Model (PTM) from a model zoo fits the target task is essential to take advantage of plentiful model resources. With the availability of numerous hete…
Learning to Compose over Tree Structures via POS Tags
Gehui Shen, Zhi-Hong Deng, Ting Huang +1
Recursive Neural Network (RecNN), a type of models which compose words or phrases recursively over syntactic tree structures, has been proven to have superior ability to obtain sen…
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units
Xi Chen, Zhihong Deng, Gehui Shen +1
This paper proposes a novel framework for recurrent neural networks (RNNs) inspired by the human memory models in the field of cognitive neuroscience to enhance information process…
On unbiased performance evaluation for protein inference
Zengyou He, Ting Huang, Peijun Zhu
This letter is a response to the comments of Serang (2012) on Huang and He (2012) in Bioinformatics. Serang (2012) claimed that the parameters for the Fido algorithm should be spec…