activity
20182022
most citedMAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

139 citations · 150 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CL20222 cited

CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations

Lin Xu, Qixian Zhou, Jinlan Fu +2

Knowledge-grounded dialog systems need to incorporate smooth transitions among knowledge selected for generating responses, to ensure that dialog flows naturally. For document-grou…

cs.IR2022

Joint Triplet Loss Learning for Next New POI Recommendation

Nicholas Lim, Bryan Hooi, See-Kiong Ng +1

Sparsity of the User-POI matrix is a well established problem for next POI recommendation, which hinders effective learning of user preferences. Focusing on a more granular extensi…

cs.CL2022

Syntax-informed Question Answering with Heterogeneous Graph Transformer

Fangyi Zhu, Lok You Tan, See-Kiong Ng +1

Large neural language models are steadily contributing state-of-the-art performance to question answering and other natural language and information processing tasks. These models…

cs.CL2022

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification

Yang Xiao, Jinlan Fu, See-Kiong Ng +1

In this paper, we ask the research question of whether all the datasets in the benchmark are necessary. We approach this by first characterizing the distinguishability of datasets…

cs.CL20213 cited

NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection

Fiona Anting Tan, See-Kiong Ng

Automatic identification of cause-effect spans in financial documents is important for causality modelling and understanding reasons that lead to financial events. To exploit the o…

eess.SP20216 cited

Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG

Dacheng Chen, Dan Li, Xiuqin Xu +2

Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting a large number of people around the world. If left undetected, it will develop into chronic disability or even ear…