4 citations · 4 across the 6 of their papers we have counts for
6 papers
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme
Yuanhao Liu, Dehui Du, Zihan Jiang +2
Causal inference permits us to discover covert relationships of various variables in time series. However, in most existing works, the variables mentioned above are the dimensions.…
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Yuanhao Liu, Qi Cao, Huawei Shen +3
Recommender systems often suffer from popularity bias, where popular items are overly recommended while sacrificing unpopular items. Existing researches generally focus on ensuring…
Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers
Yanyun Wang, Dehui Du, Yuanhao Liu
While advanced classifiers have been increasingly used in real-world safety-critical applications, how to properly evaluate the black-box models given specific human values remains…
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack
Yanyun Wang, Dehui Du, Haibo Hu +2
Recent years have witnessed the success of recurrent neural network (RNN) models in time series classification (TSC). However, neural networks (NNs) are vulnerable to adversarial s…
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction
Qi Cao, Huawei Shen, Yuanhao Liu +2
Predicting the popularity of online content is a fundamental problem in various applications. One practical challenge takes roots in the varying length of observation time or predi…
Word Segmentation as Graph Partition
Yuanhao Liu, Sheng Yu
We propose a new approach to the Chinese word segmentation problem that considers the sentence as an undirected graph, whose nodes are the characters. One can use various technique…