activity
20192022
most citedRandomized Online CP Decomposition

6 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL20222 cited

Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization

Congbo Ma, Wei Emma Zhang, Pitawelayalage Dasun Dileepa Pitawela +3

One key challenge in multi-document summarization is to capture the relations among input documents that distinguish between single document summarization (SDS) and multi-document…

eess.SY2021

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

Hu Wang, Hao Chen, Qi Wu +3

The control of traffic signals is fundamental and critical to alleviate traffic congestion in urban areas. However, it is challenging since traffic dynamics are complicated in real…

cs.DC2020

The 10 Research Topics in the Internet of Things

Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood +7

Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to…

cs.CV20201 cited

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…

cs.LG20206 cited

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…

cs.CV2019

Unsupervised Representation Learning by Predicting Random Distances

Hu Wang, Guansong Pang, Chunhua Shen +1

Deep neural networks have gained tremendous success in a broad range of machine learning tasks due to its remarkable capability to learn semantic-rich features from high-dimensiona…