21 citations · 78 across the 19 of their papers we have counts for
7 papers · 1 filter
Memory-Gated Recurrent Networks
Yaquan Zhang, Qi Wu, Nanbo Peng +3
The essence of multivariate sequential learning is all about how to extract dependencies in data. These data sets, such as hourly medical records in intensive care units and multi-…
Fully Quantized Image Super-Resolution Networks
Hu Wang, Peng Chen, Bohan Zhuang +1
With the rising popularity of intelligent mobile devices, it is of great practical significance to develop accurate, realtime and energy-efficient image Super-Resolution (SR) infer…
Robust Data Hiding Using Inverse Gradient Attention
Honglei Zhang, Hu Wang, Yuanzhouhan Cao +2
Data hiding is the procedure of encoding desired information into a certain types of cover media (e.g. images) to resist potential noises for data recovery, while ensuring the embe…
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma, Wei Emma Zhang, Mingyu Guo +2
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. Our…
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
Congbo Ma, Hu Wang, Steven C. H. Hoi
Automated disease classification of radiology images has been emerging as a promising technique to support clinical diagnosis and treatment planning. Unlike generic image classific…
Soft Expert Reward Learning for Vision-and-Language Navigation
Hu Wang, Qi Wu, Chunhua Shen
Vision-and-Language Navigation (VLN) requires an agent to find a specified spot in an unseen environment by following natural language instructions. Dominant methods based on super…
Randomized Online CP Decomposition
Congbo Ma, Xiaowei Yang, Hu Wang
CANDECOMP/PARAFAC (CP) decomposition has been widely used to deal with multi-way data. For real-time or large-scale tensors, based on the ideas of randomized-sampling CP decomposit…