no code implementations • 4 Jan 2024 • Xuan Ma, Jianhua Zhao, Changchun Shang, Fen Jiang, Philip L. H. Yu
This introduces two challenges for $t$fa: (i) the inherent matrix structure of the data is broken, and (ii) robustness may be lost, as vectorized matrix data typically results in a high data dimension, which could easily lead to the breakdown of $t$fa.
no code implementations • 19 Apr 2022 • Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu
The Bayesian information criterion (BIC), defined as the observed data log likelihood minus a penalty term based on the sample size $N$, is a popular model selection criterion for factor analysis with complete data.
no code implementations • 24 Jul 2021 • Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui, Keith W. H. Chiu, Ho-Ming Cheng, Yanwen Fang, Man-Fung Yuen, Wai-Kay Seto
In this work, we propose a new segmentation network by integrating DenseUNet and bidirectional LSTM together with attention mechanism, termed as DA-BDense-UNet.
no code implementations • 22 Jul 2021 • Yanwen Fang, Philip L. H. Yu, Yaohua Tang
It is well known that modeling and forecasting realized covariance matrices of asset returns play a crucial role in the field of finance.
no code implementations • 15 Jul 2021 • Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li
Transformer-based pre-trained language models like BERT and its variants have recently achieved promising performance in various natural language processing (NLP) tasks.
Ranked #10 on Semantic Textual Similarity on MRPC
no code implementations • 3 Oct 2020 • Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu
In this work, we present a novel unpaired cross-lingual method to generate image captions without relying on any caption corpus in the source or the target language.
no code implementations • 18 Jun 2019 • Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung
In this paper, we utilized both structural and imaging data from all recorded acute ischemic stroke patients in Hong Kong.
no code implementations • 22 May 2019 • Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung
The hyperdense middle cerebral artery (MCA) dot sign has been reported as an important factor in the diagnosis of acute ischemic stroke due to large vessel occlusion.
no code implementations • 6 Jun 2016 • Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu
In this paper, we propose phraseNet, a neural machine translator with a phrase memory which stores phrase pairs in symbolic form, mined from corpus or specified by human experts.